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. Author manuscript; available in PMC: 2026 Oct 13.
Published in final edited form as: Cell. 2026 Aug 3;189(21):6684–6704.e9. doi: 10.1016/j.cell.2026.07.021

Co-option of Retrotransposons Promotes Antibody Diversification

Max Chen Lauring 1,5, Ming Yang 2,5, Aditya Sarode 1,6, Jianhua Wang 1,6, Zixin Ni 1, Kristen A Froehlich 1, Wanwei Zhang 1, Shudipto Wahed 1, Sisi Zheng 3, Stephen P Goff 1,4, Jiguang Wang 2,*, Uttiya Basu 1,7,*
PMCID: PMC13656868  NIHMSID: NIHMS2198059  PMID: 42546688

SUMMARY

AID accomplishes somatic hypermutation (SHM) of VH(D)JH genes in germinal center B cells for antibody diversification and affinity maturation. How AID specifically targets VH(D)JH remains unclear. We report the discovery of LINE-1 (L1) retrotransposons upstream to many VH genes in the immunoglobulin locus. These L1s are evolutionarily old, truncated, and retrotransposition-dead. Recombined VH promoters generate long, strong antisense RNAs encoding upstream L1s, triggering human silencing hub (HUSH) complex and AID recruitment, which we term L1-driven SHM. We show that L1-driven SHM occurs in vivo using HUSH conditional knockout mice and engineered mice with VH genes devoid of upstream L1s. Insertion of transcriptionally-active L1s at non-immunoglobulin loci endogenously lacking upstream L1s promotes off-target SHM. We demonstrate that old retrotransposons serve physiological roles and our findings reveal how B cells co-opted an anti-retrotransposon silencing mechanism to promote antibody diversity. In doing so, we established a new link between innate and adaptive immunity.

Keywords: Somatic hypermutation, germinal center, VH(D)JH recombination, AID, LINE-1 (L1), retrotransposons, HUSH complex, antisense transcription

In Brief

A longstanding mystery in antibody diversification is how AID specifically targets immunoglobulin V genes. Ancient LINE-1 retrotransposons embedded within the immunoglobulin locus provide a recruitment platform for the HUSH complex and AID to drive somatic hypermutation.

Graphical Abstract

graphic file with name nihms-2198059-f0008.webp

INTRODUCTION

The adaptive immune system relies on the ability of each B cell to generate a unique antibody molecule in order to recognize a wide range of antigens. B cells achieve this immense diversity by rearranging and mutating their immunoglobulin (Ig) heavy and light chain loci through three primary mechanisms: V(D)J recombination, class switch recombination (CSR), and somatic hypermutation (SHM). The Ig heavy chain (IgH) locus comprises ~50 functional VH (variable) genes, ~27 functional D (diversity) genes, and 6 functional JH (joining) genes, with each B cell expressing a single recombined VH(D)JH as part of its programmed development. During foreign antigen exposure, B cells accumulate in lymph node germinal centers to undergo SHM, where point mutations accrue in their IgH and IgL (Ig light chain) recombined variable regions to achieve antibody affinity maturation against antigen.

Activation-induced cytidine deaminase (AID) is the enzyme necessary for both CSR and SHM in B cells.1,2 AID initiates these processes by deaminating deoxycytidine within single-stranded DNA (ssDNA) to deoxyuridine.3 The source of ssDNA at VH(D)JH and other Ig sequences is thought to arise from RNA polymerase II (RNAPII) transcription stalling/pausing, as transcription is essential for CSR and SHM.4–10 In hypermutating germinal center B cells, AID mutates Ig variable sequences at ~100–1,000x the frequency compared to non-Ig loci.11–13 Occasionally, AID aberrantly mutates off-target genes such as MYC, BCL6, BCL2, and PAX5, inducing lymphomagenesis via IgH chromosomal translocations.11,14–21 Thus, understanding how AID targets Ig variable sequences with such high frequency and specificity has remained an important question. Yet, AID targeting has remained elusive.

Many models have been proposed to explain AID targeting to and activity within the recombined VH(D)JH, including AID working within enhancer-rich topologically associating domains (TADs), cohesin-mediated loop extrusion, DIVAC activity, exosome substrate noncoding RNA expression, G4 structured DNA/RNA association, mesoscale DNA composition, and various transcription factors.10,22–35 However, these mechanisms occur genome-wide and are not unique to IgH. Herein, we report the discovery of LINE-1 retrotransposon sequences spread throughout IgH and implicate them in AID-mediated VH(D)JH SHM. We term this model: L1-SHM AID targeting.

Long Interspersed Elements (LINEs) are a family of retrotransposons comprising ~20% of the human genome, having amplified over evolution via a copy-and-paste mechanism to over 500,000 copies in both human and mice.36–38 The main LINE species, LINE-1 or L1, is the only known autonomous human retrotransposon still capable of retrotransposition in our genomes.39–43 In the process of retrotransposition, however, the synthesized L1 copy is almost always truncated or mutated and rendered incapable of retrotransposition.44–48 Therefore, these truncated L1 copies are viewed evolutionarily as genomic fossils with no apparent function. L1s can also be classified as evolutionarily old or young.49–51 While old L1s might have formerly been “young” active L1s in ancestral primate genomes, they are inactive in modern humans due to accumulated mutations and deletions. A handful of young L1s, such as L1HS, can initiate transcription themselves and encode all the machinery necessary for retrotransposition.39–43 Our cells have evolved numerous mechanisms to repress and limit potentially deleterious L1 mobility, to the extent that young L1s are thought to be entirely silenced transcriptionally in most somatic tissue.52,53

We discovered a trove of old L1s throughout IgH and paid close attention to their positions with respect to VH genes. We provide evidence that these L1s, located upstream to most VH genes, act in cis to recruit the HUSH complex and AID to the transcribed, recombined VH(D)JH gene in hypermutating B cells. Instead of looking downstream to VH genes for an explanation of AID targeting, we found one by looking upstream. In doing so, we uncovered a physiological purpose of old, retrotransposition-dead L1s. Our results reveal an evolutionary tale of how B cells co-opted an anti-retrotransposon silencing mechanism to promote antibody diversity.

RESULTS

Discovery of LINE-1 Retrotransposons in the Immunoglobulin Locus

We discovered the existence of LINE-1 (L1) retrotransposons found upstream to many human VH genes (Figure S1A) and observed several patterns: i) many VH genes have more than one nearby upstream L1, with some containing up to five tandem L1s; ii) of the ~50 human VH genes, ~66% possess at least one L1 within a 2.5 kb upstream window from the VH transcription start site (TSS); iii) the first VH upstream L1s are often found 0.6–1.0 kb away from their nearby VH TSS; iv) the first VH upstream L1 is often in the same orientation as their nearby VH gene, with subsequent L1s sometimes in the opposite orientation (Figure S1A-B); v) all VH upstream L1s belong to evolutionarily “old” L1 subfamilies, incapable of autonomous retrotransposition.44– 48 These observations were similar for mouse VH genes (Figure S1C-D). Looking upstream to all VH TSSs, we observed a significant enrichment of L1s, relative to all protein-coding genes and known AID off-target genes implicated in aberrant SHM during lymphomagenesis21,54, with similar findings for mouse VH upstream L1s (Figure 1A-B; Table S1-S3).

Figure 1: IGH V genes possess upstream LINE-1 retrotransposons that promote somatic hypermutation.

Figure 1:

(A-B) Genomic density distributions of upstream L1 elements for IGH V genes, all protein-coding genes, and known AID off-target genes in (A) human genome (hg38) and (B) mouse genome (mm39), with TSSs aligned at 0 bp.

(C) Schematic of the Ramos B cell mCherry reporter system with cell lines lacking (noL1) or possessing (yesL1) a nearby “old” L1 element upstream to the recombined VH gene.

(D) Representative flow cytometry panel assessing mCherry loss in noL1 and yesL1 cells after 7 days of 4-OHT treatment.

(E) Change in SHM frequency, measured by change in mCherry, normalized to the noL1 condition.

(F-G) Point mutation frequency across (F) the recombined VH(D)JH and (G) AID hotspot motifs, from noL1 and yesL1 cells.

(H) (Top) Representative SHM profiles of the recombined VH4–34 upstream region in noL1 and yesL1 cells, where the x-axis corresponds to PCR-amplified region per schematic, L1 element denoted by vertical dashes, L1 orientations indicated by black arrows, and purple arrows (0 bp) correspond to purple arrows in schematic below. (Bottom) Schematic of primer pairs used to assess mutation frequency of VH4–34 upstream regions. In noL1 cells, black primers amplify the L1-lacking region (see Methods). In yesL1 cells, black primers amplify the L1-lacking region on the non-recombined allele, while pink forward and black reverse primers amplify the L1-containing region on the recombined allele.

(I-J) Point mutation frequency across the indicated region upstream to the (I) recombined VH4–34 in noL1 and yesL1 cells, or (J) non-recombined and recombined VH4–34 in yesL1 cells only, as outlined in (H).

(K) AID ChIP-qPCR at the recombined VH(D)JH in noL1 and yesL1 cells, with schematic below indicating primer binding sites.

For (A-B), p-values were calculated by pairwise comparisons using the two-sample Kolmogorov-Smirnov (K-S) test. For all other plots, data are presented as mean ± SEM from at least three independent experiments, with p-values calculated by unpaired two-sided t-test in (E-F, I, K) or paired two-sided t-test in (J). ****p ≤ 0.0001, ***p ≤ 0.001, **p ≤ 0.01, p ≤ 0.05.

We observed no human VH upstream enrichment of other transposable elements (TEs) including SINEs and DNA transposons, except for a farther upstream density of LTRs (Figure S1E-G), and L1 enrichment downstream to all VH genes (Figure S1H), which would be permanently deleted during VH(D)JH recombination. We observed similar patterns for mouse VH genes, except for the lack of VH upstream LTR enrichment (Figure S1I-L, Table S3).

VH Upstream L1s Promote B Cell Somatic Hypermutation

The discovery of these VH upstream L1s surprised us. Given their proximity to VH gene, we wondered if they influenced B cell function and decided to investigate VH(D)JH SHM.

To test this, we used a human-derived B cell line, Ramos, constitutively expressing mouse AID fused to the ligand-binding domain of estrogen receptor (AID-ERT2). This reporter line contains an mCherry sequence, with several AID hotspot motifs, fused in frame to the 5’ end of exon 2 of the endogenous, recombined VH4–34.55–58 Upon 4-hydroxytamoxifen (4-OHT) treatment, AID-ERT2 translocates into the nucleus and initiates hypermutation, where loss of mCherry expression via AID mutagenesis approximates SHM, validated by more accurate targeted VH(D)JH sequencing. Because VH4–34 is one of the few VH genes lacking a nearby upstream L1, we inserted an L1 element at ~600 bp upstream to the recombined VH4–34 (Figure 1C); this L1 element is the same one found in front of many other human VH genes (Table S4). Reporter cells with the nearby upstream L1 (“yesL1”) showed increased SHM after 7 days of 4-OHT treatment compared to cells lacking an upstream L1 (“noL1”) (Figure 1D-E). Targeted Nanopore and next-generation sequencing of recombined VH(D)JH sequences from sorted mCherrylow cells revealed increased mutation frequency across the entire VH(D)JH, particularly at AID hotspots (i.e. RGYW/WRCY) (Figure 1F-G, Figure S2A-B). YesL1 cells exhibited no defects in proliferation, surface IgM, cell viability, or AID protein expression (Figure S2C-G).

To better understand these observations, we cultured noL1 and yesL1 cells together in 4-OHT for weeks and observed mCherryhigh and mCherrymedium populations, which comprised predominantly noL1 cells and yesL1 cells, respectively (Figure S2H-I), further supporting that VH upstream L1s increase SHM.

We wanted to determine whether AID mutated the VH4–34 upstream L1 element itself. After inducing SHM in our reporter cell lines, we PCR amplified: the L1-lacking region upstream to the recombined VH4–34 in noL1 cells, the L1-lacking region upstream to the non-recombined VH4–34 in yesL1 cells, and the L1-containing region upstream to the recombined VH4–34 in yesL1 cells (Figure 1H). Surprisingly, we detected SHM covering the upstream L1 region in yesL1 cells, with correspondingly sparse SHM in noL1 cells (Figure 1H-I). When comparing both VH4–34 alleles within the same yesL1 cells, we observed essentially no SHM on the L1-lacking, non-recombined allele, but detectable SHM on the L1-containing, recombined allele (Figure 1J). Finally, mouse spleen germinal center B cells showed hypermutation of endogenous VH upstream L1-rich regions, which was absent in matched tail DNA from the same mice (Figure S2J-K). These results suggest that AID targets VH upstream regions (with L1s) in addition to recombined VH genes themselves.

We performed AID ChIP-qPCR and found greater AID occupancy at the recombined VH(D)JH in yesL1 cells compared to noL1 cells (Figure 1K), suggesting that nearby upstream L1s could somehow attract AID to the locus. Introducing a different VH upstream L1 (“yesL1#2”) similarly increased AID occupancy, suggesting that the phenotype was not dependent on a specific L1 sequence (Table S4).

VH Upstream L1s Drive VH(D)JH Somatic Hypermutation In Vivo

To see if we could observe L1-driven SHM in vivo, we generated four mouse lines, each containing one designated VH gene with its upstream L1s homozygously deleted (Figure 2A/D/G/J; Table S5). The four VH genes we chose were VH1–11, VH1–64, VH1–47, and VH9–4, as they were found to be used or hypermutated more in mouse intestinal Peyer’s patch (PP) germinal center (GC) B cells.59 Spleen GC B cells with recombined VH1–11(D)JH genes, isolated from immunized VH1–11 L1 KO mice, showed marked reductions in VH1–11(D)JH SHM, often within or near AID hotspot motifs (Figure 2B-C). As a control, VH1–11(D)JH genes from immunized AID KO mouse GC B cells showed no SHM (Figure 2B-C). We also observed decreased SHM in VH1–64(D)JH, VH1–47(D)JH, and VH9–4(D)JH sequences from our VH1–64 L1 KO mice, VH1–47 L1 KO mice, and VH9–4 L1 KO mice, respectively (Figure 2D-L). Finally, we observed decreased SHM in intestinal PP GC B cells from all of our L1 KO mouse lines (Figure S3A-D), consistent with the results seen in spleen GC B cells.

Figure 2: L1 retrotransposons upstream to VH genes promote somatic hypermutation in vivo.

Figure 2:

(A-C) (A) Schematic of WT mice that endogenously possess L1s upstream to VH1–11 and engineered VH1–11 L1 KO mice lacking L1s upstream to VH1–11. Spleen or PP GC B cells were sorted from immunized mice. (B) Point mutation frequency for (left) all bases or (right) AID hotspot motifs across recombined VH1–11(D)JH sequences from spleen GC B cells from WT, VH1–11 L1 KO, and AID KO mice. (C) Representative SHM profiles for immunized mouse spleen GC B cells, where the x-axis represents only VH1–11(D)JH sequences, with AID hotspot motifs (pink dots) and complementarity-determining region boundaries (vertical dashed lines).

(D-F) Same as (A-C), but instead using VH1–64 L1 KO mice, focusing on recombined VH1–64(D)JH hypermutation.

(G-I) Same as (A-C), but instead using VH1–47 L1 KO mice, focusing on recombined VH1–47(D)JH hypermutation.

(J-L) Same as (A-C), but instead using VH9–4 L1 KO mice, focusing on recombined VH9–4(D)JH hypermutation.

(M) Point mutation frequency from GC B cells, using recombined VH1–12 or recombined VH1–9, isolated from immunized WT and VH1–11 L1 KO mice. Top allele, WT mouse. Bottom allele, L1 KO mouse.

(N) Same as (M), but instead using VH1–64 L1 KO mice, focusing on hypermutation of recombined VH genes flanking VH1–64.

(O) Same as (M), but instead using VH1–47 L1 KO mice, focusing on hypermutation of recombined VH genes flanking VH1–47.

(P) Same as (M), but instead using VH9–4 L1 KO mice, focusing on hypermutation of recombined VH genes flanking VH9–4.

For all plots, data are presented as mean ± SEM from at least three independent experiments, with p-values calculated by paired two-sided t-test. ****p ≤ 0.0001, ***p ≤ 0.001, p ≤ 0.01; ns, not significant.

While overall mutation frequency decreased across the tested VH(D)JH sequences from our L1 KO mice, no particular regions showed repeatedly decreased SHM peaks, consistent with the hypothesis that these nearby upstream L1s are involved in the initial recruitment of AID to the IGH locus, rather than informing specifically where AID mutagenesis occurs within the recombined VH(D)JH.

We next wanted to determine in vivo whether VH upstream L1s acted in cis on their nearby VH gene or in trans on other VH genes. Using genomic DNA of spleen GC B cells from immunized WT and VH1–11 L1 KO mice, we examined SHM levels of the flanking VH genes, VH1–12 and VH1–9, corresponding to GC B cells specifically expressing recombined VH1–12(D)JH and VH1–9(D)JH (Figure 2M). Indeed, we observed similar levels of flanking VH gene SHM between WT and VH1–11 L1 KO mice. Likewise, we observed the same phenomenon in our other three mouse lines and their respective flanking VH genes (Figure 2N-P). Thus, deletion of VH upstream L1s only affects SHM activity of the associated downstream recombined VH gene, without affecting SHM activity of other VH genes.

We found no differences in CSR in vivo from immunized WT vs L1 KO mice or CSR ex vivo from WT vs L1 KO mice (Figure S3E-J). Because SHM is inherently linked to transcription of the recombined VH(D)JH60,61, we verified that the presence or absence of upstream L1s had no effect on recombined VH(D)JH steady-state transcription in ex vivo-stimulated spleen B cells (Figure S3K).

Lastly, we wanted to rule out the possibility of nearby upstream L1s influencing VH gene selection, which occurs early in B cell development, long before the occurrence of SHM in secondary lymphoid organs. Next-generation sequencing of naïve spleen B cells from WT and L1 KO mice showed no differences in VH family usage, specific VH gene usage, or specific VH gene expression (Figure S3L-N). Furthermore, homozygous deletion of VH upstream L1s did not affect the usage or expression of flanking VH genes (Figure S3O-P). For instance, VH1–11 L1 KO mice showed no skewed usage or expression of upstream VH1–12, downstream VH1–9, or VH1–11 itself, compared to WT mice. We conclude that AID-mediated L1-driven SHM occurs in vivo and acts in cis on the recombined VH(D)JH.

HUSH Complex Links VH Upstream L1s with AID-Mediated SHM

We sought to understand the relationship between AID and L1 biology. AID belongs to the APOBEC/AID superfamily of enzymes, sharing a common catalytic domain that deaminates C to U on DNA and/or RNA.62,63 Some APOBEC members recognize and mutate nucleotides in viral and retrotransposon sequences. Another defense mechanism involves the human silencing hub (HUSH) complex, comprising the scaffold protein TASOR and its binding partners Periphilin (PPHLN1) and MPP8.64–66 L1 transcription triggers the recruitment of HUSH to that specific site, where HUSH will recruit chromatin modifier SETDB1 to deposit H3K9me3, preventing further transcription of the L1.67–70 Importantly, HUSH silences non-self genetic elements that generate intronless RNAs, primarily L1s, retrogenes, and retroviral DNA sequences, and therefore serves as an important component of the genome’s innate immune system.67,71,72

To assess whether HUSH could explain the missing link between AID and L1-driven SHM, we generated multiple versions of our noL1 and yesL1 reporter cells, lacking or possessing each HUSH subunit (Figure 3A). In unedited cells, we observed L1-driven SHM. However, loss of any HUSH subunit – TASOR, MPP8, PPHLN1 – blunted the effect of L1 on SHM. Importantly, HUSH WT and KO noL1 cells showed identical levels of SHM (Figure 3A, Data S1). These results suggest that the HUSH complex plays a role in L1-driven, AID-mediated SHM in B cells.

Figure 3: HUSH Complex Links VH Upstream L1s with AID-Mediated SHM.

Figure 3:

(A) Change in SHM frequency, measured by change in mCherry, of noL1 and yesL1 reporter cells possessing or lacking HUSH complex subunits, normalized to the noL1, HUSH WT condition.

(B-C) Change in SHM frequency, measured by change in mCherry, of reporter cells possessing or lacking (B) sense or antisense human HBB or (C) various transposon sequences, upstream to the recombined VH4–34 gene, normalized to the noL1 condition.

(D) CUT&RUN-seq signal for AID, MPP8, PPHLN1, and H3K9me3 at the recombined VH(D)JH region in noL1 and yesL1 reporter cells.

(E-H) Representative SHM profiles for spleen GC B cells from immunized WT and MPP8 conditional KO mice, where the x-axis represents (E) VH1–11(D)JH, (F) VH1–64(D)JH, (G) VH1–47(D)JH, and (H) VH9–4(D)JH sequences, with AID hotspot motifs (pink dots) and complementarity-determining region boundaries (vertical dashed lines).

(I-L) Point mutation frequency for (left) all bases or (right) AID hotspot motifs, corresponding to conditions from (E-H).

For all plots, data are presented as mean ± SEM from at least three independent experiments, with p-values calculated by one-way ANOVA with Tukey’s multiple comparisons test without pairing in (A), one-way ANOVA with Dunnetťs multiple comparisons test comparing all conditions to WT noL1 condition in (B-C), or unpaired two-sided t-test in (I-L). ****p ≤ 0.0001, ***p ≤ 0.001, **p ≤ 0.01; ns, not significant.

We inserted various sequences upstream to the recombined VH4–34 gene in our noL1 reporter cell lines to see if there was an effect on SHM comparable to that of L1. Insertion of the ~1.7 kb human beta-globin gene HBB (containing two exons and one intron), in either orientation, had no effect on SHM (Figure 3B). Insertion of other transposon sequences of varying orientations and lengths also had no effect on SHM (Figure 3C), consistent with HUSH’s preference to silence L1-derived sequences.67

Given HUSH’s ability to target transcribed L1s, we wanted to see if the VH nearby upstream L1 could recruit HUSH. We performed CUT&RUN with our reporter cells, with yesL1 cells exhibiting greater AID occupancy, greater HUSH occupancy via MPP8 and PPHLN1, and greater H3K9me3 deposition, a mark of HUSH activity, over the recombined VH(D)JH and upstream L1 itself (Figure 3D). Interestingly, even in noL1 cells, HUSH appears to be present at low levels along the recombined VH(D)JH, including over the short ~80 bp intron (Figure 3D). This suggests that while the presence of VH upstream L1s greatly increases HUSH recruitment, perhaps the VH(D)JH itself has properties of a HUSH substrate. Thus, the summation of VH upstream L1s and recombined VH(D)JH can be viewed as a long 3–4 kb length of DNA that potently recruits HUSH and AID.

To determine whether HUSH influences L1-driven SHM in vivo, we utilized two different mouse models lacking HUSH subunit MPP8: a B cell-specific conditional KO (CD19Cre/WT;MPP8f/f) and a constitutive KO (MPP8 Δexon2) lacking physiological levels of MPP8 protein expression due to homozygous deletion of Mphosph8 (MPP8) exon 2 (Figure S4A-C).73 First, we ruled out any effect on CSR ex vivo between WT and MPP8 Δexon2 mice (Figure S4D-F). Corroborating this, two recent CRISPR screens for factors affecting B cell CSR did not identify HUSH subunit genes.74,75 We also verified there were no differences in spleen or PP GC B cell frequency between WT and MPP8 KO mice (Figure S4G).

We immunized WT, CD19Cre/WT;MPP8f/f, and MPP8 Δexon2 mice and measured SHM frequency for the VH genes studied in our VH upstream L1 KO mouse models – VH1–11, VH1–64, VH1–47, VH9–4 (Figure 2). GC B cells from immunized CD19Cre/WT;MPP8f/f and MPP8 Δexon2 KO mice showed marked reductions in SHM across recombined VH1–11(D)JH, VH1–64(D)JH, VH1–47(D)JH, and VH9–4(D)JH sequences (Figure 3E-H, S4H-K). Overall mutation frequency decreased when considering either all bases within the VH(D)JH or only those specifically within AID hotspot motifs (Figure 3I-L, S4M-P). Finally, we observed decreased SHM in recombined VH1–64(D)JH sequences from MPP8 Δexon2 KO PP GC B cells (Figure S4L). The SHM defect in both constitutive and B cell-conditional KOs confirms a B cell-intrinsic role for HUSH. Altogether, these data highlight an essential role for HUSH in L1-driven SHM.

HUSH and AID Functional Interaction

We performed proximity ligation assay (PLA) in our yesL1 cells and found that AID interacted with all three HUSH subunits (Figure 4A-C). We also detected AID:MPP8 interactions in mouse spleen GC B cells from immunized WT, but not AID KO control, mice (Figure 4D). Co-immunoprecipitation assays from HEK293T cells showed interactions between AID and both MPP8 and PPHLN1 (Figure 4E-F). CUT&RUN comparing PPHLN1 WT yesL1 and PPHLN1 KO yesL1 cells showed significantly decreased AID occupancy over the recombined VH(D)JH in absence of HUSH (i.e. PPHLN1 KO), with concomitant decreases in MPP8, PPHLN1 (as expected), and H3K9me3 occupancy (Figure 4G-H). In HUSH KO samples, we noted residual, maintenance levels of H3K9me3, a heterochromatic IgH signature of B cells.76 Overall, AID occupancy at the recombined VH(D)JH depends, in part, on its interaction with HUSH.

Figure 4: Physical and Functional Interaction Between HUSH and AID.

Figure 4:

(A-C) (left) Proximity ligation assay (PLA) assessing interaction between AID and HUSH subunit (A) MPP8, (B) PPHLN1, (C) TASOR, in various Ramos reporter cell lines. Controls included MPP8 KO, PPHLN1 KO, and TASOR KO cells or anti-HUSH primary antibodies alone. (right) Quantification of AID:MPP8, AID:PPHLN1, and AID:TASOR PLA, respectively.

(D) (left) PLA assessing AID:MPP8 interaction in spleen GC B cells from immunized mice. (right) Quantification of AID:MPP8 PLA.

(E-F) WB analysis of FLAG IPs from whole cell lysates of HEK293T cells overexpressing (E) EV (EGFP-3xFLAG) and hMPP8 versus hAID-EGFP-3xFLAG and hMPP8, or (F) EV and hPPHLN1 versus hAID-EGFP-3xFLAG and hPPHLN1. Input and IP samples probed with antibodies against FLAG, hMPP8, and hPPHLN1.

(G) Spike-in normalized (left) AID occupancy or (right) MPP8/PPHLN1 occupancy, at the recombined VH(D)JH region from HUSH WT and HUSH KO yesL1 reporter cell lines, normalized to mean value of the respective HUSH WT condition.

(H) Spike-in normalized CUT&RUN-seq signal for AID, MPP8, PPHLN1, and H3K9me3 at the recombined VH(D)JH from HUSH WT and HUSH KO yesL1 reporter cell lines.

(I) Venn diagram showing the overlap between AID off-target, top MPP8-occupied, and top PPHLN1-occupied CUT&RUN-seq sites.

(J) Spike-in normalized MPP8 CUT&RUN-seq profile and heatmap, across HUSH-occupied genes and AID off-target genes, from HUSH WT and HUSH KO yesL1 reporter cell lines.

(K-L) Spike-in normalized AID occupancy at (K) promoters and first introns of AID off-target genes, from HUSH WT and HUSH KO yesL1 reporter cell lines, and (L) non-Ig L1s from HUSH WT yesL1 reporter cells.

For all plots, data are presented as mean ± SEM from at least three independent experiments, with p-values calculated by unpaired two-sided t-test, or by paired two-sided t-test in (K). ****p ≤ 0.0001, ***p ≤ 0.001, **p ≤ 0.01; ns, not significant.

We then identified the top MPP8-occupied and PPHLN1-occupied loci by subtracting HUSH WT and HUSH KO datasets, the intersection of which revealed 77 HUSH complex-occupied loci, including VH4–34 (Figure 4I; Table S2). Of the 52 AID off-target loci, none overlapped with HUSH-occupied loci, suggesting that the interaction between HUSH and AID occurs preferentially at the recombined VH(D)JH rather than genome-wide (Figure 4I). Global MPP8 occupancy was much higher across the 77 HUSH-occupied loci than across AID off-target loci, and disappeared in the HUSH KO condition, with no significant occupancy changes over AID off-target loci (Figure 4J). Promoters and first introns of AID off-target genes, where pathological SHM is occasionally detected20,21, showed very low levels of AID occupancy, with no difference between HUSH WT and HUSH KO conditions, again suggesting no role for HUSH in AID targeting genome-wide (Figure 4K). Finally, AID occupancy at all young, full-length L1s genome-wide and at old, truncated L1s upstream to AID off-target genes was negligible compared to AID occupancy at the recombined VH4–34 upstream L1 (Figure 4L). We conclude that AID forms a physical nexus with the HUSH complex, largely at the recombined VH(D)JH, and that global HUSH occupancy at other L1s and protein-coding genes does not guarantee corresponding AID recruitment.

VH Antisense Transcription Encoding Upstream L1s Triggers SHM Recruitment to VH(D)JH

We sought to understand the mechanism by which VH upstream L1s recruited HUSH and AID. Because transcription of intronless L1s triggers HUSH recruitment, we asked if these VH upstream old L1s could initiate transcription themselves.67 We cloned several human VH upstream L1s, in both orientations, into promoterless IRES-EGFP reporter constructs (Figure 5A). For some constructs, we deleted the 3’ ends of L1s to avoid potential transcription termination signals. As expected, these old L1s produced no EGFP+ cells, even after treatment with 5-AZA-dC, which promotes DNA demethylation and de-repression of L1s.77–80 However, young, full-length, human L1 produced GFP+ cells, independent of orientation, indicating the ability to recruit RNAPII and initiate bidirectional transcription; the young L1 was also sensitive to 5-AZA-dC treatment (Figure 5A).

Figure 5: Transcription of VH Upstream L1s Recruits SHM Activity to the Recombined VH(D)JH.

Figure 5:

(A) Percent GFP-positive cells, 2 days post-transfection with L1-IRES-GFP reporter constructs, treated with or without 5-AZA-dC. For construct labels, s = sense, as = antisense, Δ = truncated.

(B-C) RT-qPCR of recombined VH4–34 (B) sense RNA levels and (C) antisense RNA levels, from noL1 and yesL1 reporter cells, possessing or lacking HUSH subunit MPP8. Control comparison cell lines included SUDHL10 and HEK293T, possessing or lacking a VH4–34 upstream L1. All conditions normalized to ACTB and relative to SUDHL10 (noL1) condition.

(D) GRO-seq signal of nascent sense and antisense transcription from the recombined VH4–34 promoter (pink) or from AID off-target gene promoters (gray) in Ramos cells.

(E) Illumina RNA-seq read distributions for steady-state sense and antisense transcription from all recombined VH genes, aligned at TSSs (0 bp) from WT mouse GC B cells.

(F) Schematic of CRISPR-Cas9-mediated deletion of the recombined VH4–34 bidirectional promoter in noL1 and yesL1 reporter cells.

(G) RT-qPCR of VH4–34 sense and antisense RNA levels from noL1 and yesL1 reporter cells, possessing or lacking recombined VH4–34 promoter activity. All conditions normalized to ACTB and relative to SUDHL10 (noL1) condition.

(H) Change in SHM frequency, measured by change in mCherry, of promoter-intact and promoter-dead cell lines, normalized to the unedited noL1 condition.

For all plots, data are presented as mean ± SEM from at least three independent experiments, with p-values calculated by one-way ANOVA with Tukey’s multiple comparisons test in (A-C, H), where “a” and “b” groups are significantly different from each other, but not significantly different within groups. ****p ≤ 0.0001, ***p ≤ 0.001, **p ≤ 0.01; ns, not significant.

We wondered if transcription factor (TF) binding sites near VH upstream L1s could act as potential sources of transcription. We scanned the upstream 2 kb regions of all human VH genes and AID off-target genes for TF binding motifs and found that VH upstream regions are thoroughly depleted of TF binding motifs, when considering just the antisense DNA strand (with respect to VH sense transcription) or both DNA strands (Figure S5A-B).

We reconsidered other potential sources of L1 transcription and wondered if VH promoters themselves transcribed bidirectionally. Prior in vitro work focusing on single VH genes seemed to support this idea.81,82 Indeed, our noL1 and yesL1 reporter cells expressed VH4–34 sense RNA, but also VH4–34 antisense RNA, which appeared to cover the upstream L1, with similar levels between HUSH subunit MPP8 WT and KO conditions (Figure 5B-C). As controls, we inserted the same L1 sequence upstream to VH4–34 in HEK293T cells and SUDHL10 cells, another B lymphoma line, and detected no VH4–34 sense or antisense RNA from these cell lines; this was expected, given that these cells are not known to express recombined VH4–34, and explains the large fold change magnitude observed (Figure 5B-C). GRO-seq from Ramos cells further confirmed the existence of nascent antisense transcription originating from the recombined VH gene.83 The nascent VH antisense RNA is long enough to cover nearby upstream L1s and is stronger than all other antisense RNAs from AID off-target genes (Figure 5D). Bulk RNA-seq from WT mouse spleen GC B cells demonstrated that recombined VH promoters are bidirectional and generate antisense RNAs long enough to cover VH upstream L1s (Figure 5E).

We hypothesized that the long, strong, recombined VH antisense L1-encoding RNA initiates HUSH/AID-mediated SHM activity. We deleted the recombined VH4–34 promoter in noL1 and yesL1 reporter cells in an attempt to completely kill antisense transcription while preserving the VH(D)JH sense transcription essential for AID accessibility and mutagenesis4,5,8 (Figure 5F). We generated several VH4–34 promoter-dead clones and compared their levels of sense and antisense transcription. Unedited noL1 and yesL1 cells exhibited normal, baseline levels of bidirectional transcription, while some noL1 and yesL1 clones exhibited nearly dead sense transcription with dead antisense transcription. We also retrieved rare noL1 and yesL1 clones with near normal levels of sense transcription and dead antisense transcription (Figure 5G). After 4-OHT treatment, we observed the usual L1-driven SHM between unedited noL1 and yesL1 cells (Figure 5H). The next two cell lines showed a severe, relative loss of SHM, likely due to the near absence of VH(D)JH sense transcription. The last two cell lines showed levels of SHM similar to unedited noL1 cells, despite the presence of a nearby upstream L1 (Figure 5H, last bar). These results implicate the L1-encoding, VH antisense RNA as the trigger for L1-driven SHM at the recombined VH(D)JH.

L1-Encoding VH Antisense Transcription in CSR vs. SHM

Puzzlingly, B cells expressing AID do not seem to undergo SHM and CSR simultaneously.84–88 We therefore examined whether there was a difference in the strength of VH antisense transcription relative to VH sense transcription in B cells undergoing SHM vs. CSR. RNA-seq from WT mouse spleen GC B cells exhibited VH promoter bidirectional transcription (Figure 5E), as did spleen B cells stimulated ex vivo for IgG1 CSR.26,89 Moreover, we observed stronger relative VH antisense transcription in GC B cells undergoing SHM than in CSR-activated B cells (Figure S5C-D). Within GC B cells, antisense transcription is stronger at VH promoters than at IgM or IgG1 promoters (Figure S5E-F). Thus, weak VH antisense transcription in B cells undergoing CSR could explain why these B cells do not appear to simultaneously hypermutate their VH genes, despite AID expression.

Insertion of VH Upstream L1s Increases Off-Target SHM

We wanted to see if strong transcription of L1s was sufficient to promote SHM at non-VH(D)JH off-target sites. We chose three candidate loci – hBCL6, hMYC, and hMKL1 – to insert ~1.7 kb of tandem old L1s upstream to these genic promoters in our noL1 reporter line (Table S4); in this experiment, mCherry signal is irrelevant to off-target hypermutation. We targeted BCL6 and MYC because they are well-characterized AID off-target genes11,14–17,20,21 and MKL1 because it was reported to be located within a “cold” TAD, resistant to AID-mediated SHM in Ramos cells.90 Our insert included the core portion of human EF1α promoter alone (control cassette) or followed by three tandem old VH upstream L1s in both transcriptional orientations (Figure 6A). We included a small human promoter for several reasons. First, we had established that these L1s could not initiate transcription (Figure 5A) and that transcription of these L1s was essential in recruiting SHM activity. Second, in physiological B cell VH(D)JH SHM, several IGH-specific super-enhancers greatly increase recombined VH promoter activity in both directions (Figure 5B-C). Therefore, a source of off-target L1 transcription, albeit much weaker, in the form of the core EF1α promoter, attempts to replicate this phenomenon, given the lack of comparable super-enhancer activity at these off-target regions. Third, we inserted this EF1α-old3xL1 cassette upstream to each off-target gene, such that EF1α promoter sense transcription and off-target sense transcription would travel in opposite directions (Figure 6A). This setup prevents EF1α-driven transcription from “spilling” into off-target gene bodies. Finally, we wanted to insert the cassette at a distance upstream to off-target promoters similar to that between VH upstream L1s and VH promoters.

Figure 6: Insertion of Transcriptionally-Active VH Upstream L1s and Young L1s Increases Off-Target and VH(D)JH SHM.

Figure 6:

(A) Schematic of reporter B cell line harboring a cassette comprising EF1α core promoter followed by three “old” L1s, inserted upstream to BCL6 on one allele but not the other (top), versus another cell line harboring an EF1α-only cassette inserted upstream to BCL6 on one allele but not the other (bottom). Black primer binds BCL6 exon 2; pink primer binds EF1α-old3xL1 cassette; gray primer binds EF1α cassette. Shaded region was measured for AID-mediated hypermutation.

(B) Point mutation frequency for all bases across the BCL6 hypermutation zone, for EF1α- and EF1α-old3xL1-containing alleles.

(C-D) Same as (A-B), but for MYC.

(E-F) Same as (A-B), but for MKL1 (MRTF-A).

(G-H) (G) Representative flow cytometry panels assessing mCherry loss in reporter cell lines with various L1 elements inserted upstream to the recombined VH(D)JH, schematized in (H).

(I) Change in SHM frequency, measured by change in mCherry, normalized to the noL1 condition.

(J-K) Point mutation frequency across (J) the recombined VH(D)JH and (K) AID hotspot motifs, from reporter cell lines in (H); as, antisense.

For all plots, data are presented as mean ± SEM from at least three independent experiments, with p-values calculated by unpaired two-sided t-test in (B, D, F) or one-way ANOVA with Dunnetťs multiple comparisons test comparing all conditions to WT noL1 condition in (I-K). ****p ≤ 0.0001, ***p ≤ 0.001, **p ≤ 0.01, *p ≤ 0.05.

In generating these cell lines, we produced many heterozygous clones, some containing the EF1α-old3xL1 cassette upstream to BCL6 on one allele and wildtype on the other allele, and some containing the EF1α cassette upstream to BCL6 on one allele and wildtype on the other allele (Figure 6A). Insertion of EF1α-old3xL1 significantly increased overall mutation frequency within the first 1.8 kb of BCL6 compared to EF1α alone (Figure 6B). Using analogous heterozygous cell lines, we observed similar findings for MYC and MKL1, where nearby upstream transcription of old L1s promoted off-target hypermutation (Figure 6C-F). Of note, SHM at off-target sites can be 10–1000 folds lower relative to VH(D)JH SHM, making detection of transient AID occupancy challenging.11–13 Off-target SHM, which requires AID activity, is a permanent and more reliable readout of AID recruitment and is what we measured at these three off-target loci.

Old and Young VH Upstream L1s Increase VH(D)JH SHM

We inserted the old3xL1 cassette from Figure 6A-F, without the core EF1α promoter, upstream to the recombined VH4–34 in our reporter cells. We also generated cell lines where we inserted the L1 from Figure 1C in the flipped orientation and a 1.5 kb fragment of human L1 ORF2 in the opposite orientation relative to VH(D)JH sense transcription (Figure 6H). L1 ORF2 and ORF2 fragments were previously shown to act as bona fide HUSH targets.67 In all cell lines, expression of the inserted sequence relies on strong, endogenous antisense transcription from the recombined VH4–34 promoter. All L1 knock-in cell lines exhibited higher SHM via mCherry loss compared to noL1 cells, confirmed by more accurate targeted VH(D)JH amplicon sequencing from sorted mCherrylow cells (Figure 6G-K). We conclude that strong expression of both old and young intronless L1(s) is capable of enhancing SHM.

Upstream L1-VH Gene Pairs are Evolutionary Units Across Species

To see if the L1-driven SHM phenotype was observable in humans, we re-analyzed germinal center BCR sequencing data from patients who received COVID-19 vaccine boosters.91 We grouped VH genes by the proximity of their closest upstream L1, with one group representing VH genes with nearby upstream L1s and the other group representing VH genes without nearby upstream L1s. For three of six donors, we found significantly higher levels of SHM in B cells that used recombined VH genes with nearby upstream L1s compared to those that used VH genes without nearby upstream L1s (Figure S6A). Commonly hypermutated VH genes belonged to IGHV3 (e.g. VH3–21, VH3–48) and IGHV1 (e.g. VH1–2, VH1–69) families, while VH4–34 – lacking upstream L1s – was consistently lowly mutated. Notably, our reporter cells use recombined VH4–34, and introducing L1s upstream to VH4–34 enhanced its SHM (Figure 1D-G). In doing so, we converted a mutationally “cold” VH gene to a “hot” one, suggesting that VH gene hypermutation potential is partly encoded within the VH upstream region, and not entirely within the VH sequence itself.

Beyond humans and mice, we wanted to see if VH upstream L1s existed in ~20 other species with identifiable L1s and VH genes (Figure 7A). Surprisingly, we observed significant enrichment of VH nearby upstream L1s for all species (Figure 7B). Chickens were a unique case, explained further in the Discussion. We focused on this L1-VH gene relationship in closely related primate species by categorizing all VH genes into their respective VH families. We found that in humans, L1MCb or L1PREC2 sequences were often found upstream to VH1 family genes, while L1ME1 or L1ME2 sequences were often found upstream to VH3 family genes. This pattern held true for all primate species (Figure 7C). Moreover, the distance between VH genes from the same family and upstream L1 was consistent across species. For example, human and primate VH3 family genes possess upstream L1ME1 sequences located ~600 bp away (Figure S6B). We constructed a heatmap comparing the first closest L1ME elements upstream to VH3 genes across primate species (n = 86) and found many clusters where human VH3 upstream L1ME sequences were nearly identical across species (Figure 7D). For example, the L1ME element upstream to human VH3–21 is ~85% similar to the L1ME element upstream to human VH3–7 (heatmap row 9, column 10), but almost 100% homologous to the L1ME element upstream to a gorilla, bonobo, and chimp VH3 gene (heatmap row 9, columns 8,11,12). We then created a second heatmap by anchoring the positions from the first heatmap (based on upstream L1ME elements), but instead compared the L1ME-associated VH3 gene sequences themselves across species (Figure 7E). We observed similar clusters between our two heatmaps, suggesting that several L1-VH3 units likely existed in a primate universal common ancestor. For example, we observed that human VH3–53 and VH3–66 cluster together with analogous chimp and gorilla VH3 genes, and that human VH3–53 and VH3–66 upstream L1ME elements cluster together with analogous chimp and gorilla VH3 upstream L1ME elements. We generated similar heatmaps comparing VH1 family upstream L1s – L1MCb and L1PREC2 – and associated VH1 gene sequences themselves, across species (Figure S6C-D). Likewise, we observed ‘hot’ clusters shared between the two heatmaps. In fact, many of the human L1-containing VH3 and VH1 family genes that clustered with analogous primate VH genes were often those most hypermutated in SARS-CoV-2 mRNA immunized donors (Figure S6A). Together, these findings reveal a deeper evolutionary connection between VH genes with upstream L1s and their proclivity for hypermutation during antigen exposure.

Figure 7: Upstream L1-VH Gene Pairs are Evolutionary Units Across Species.

Figure 7:

(A) Phylogenetic relationship of species analyzed for upstream TE density.

(B) Genomic density distributions of upstream L1 elements for VH and all protein-coding genes across various species, with TSSs aligned at 0 bp; p-values calculated by pairwise two-sample Kolmogorov-Smirnov test. ****p ≤ 0.0001, ***p ≤ 0.001, **p ≤ 0.01, *p ≤ 0.05.

(C) (left) Phylogenetic host tree. (right) Heatmap showing the count of L1s upstream to VH genes within each VH family across primate species, within a 2.5 kb upstream window. L1 subfamilies indicated below.

(D) Heatmap showing pairwise sequence identity of L1ME1/L1ME2s within 2.5 kb upstream to IGHV3 genes across primate species. Pairwise identities calculated using BLASTN (v2.17.0, e-value < 10⁻⁵). Rows and columns correspond to individual L1s; darker color intensity represents higher sequence identity. Hierarchical clustering grouped elements with similar sequences; branches and nodes of the dendrogram indicate sequence similarity relationships, with branch lengths reflecting relative sequence divergence. Colored bars below the heatmap indicate individual L1 elements, matching the hierarchical clustering order. Human VH3 genes are labeled at the end of each row/column.

(E) Same as (D), except this heatmap compares L1ME-associated IGHV3 gene identities themselves across primate species. Positions from the heatmap in (D) were anchored and applied here.

(F) Model highlighting L1-driven somatic hypermutation in germinal center B cells.

DISCUSSION

To our knowledge, this is the first characterization of L1 retrotransposons in the immunoglobulin locus and first report of L1s contributing to B cell antibody diversity. This study highlights that while we tend to view evolutionarily old, transcriptionally-dead L1s as inconsequential genomic fossils, these sequences serve a surprisingly beneficial role in physiological immunity. L1-mediated antibody diversification is likely one of many cases of ancient retrotransposition events being co-opted, and further such discoveries will surely emerge across biological contexts. This work presents a new, evolutionarily informed targeting mechanism that links AID mutator activity to retrotransposon silencing. While antibody-mediated immunity and retrotransposon biology might appear to fall into two disparate fields of research, we show that both are actually deeply intertwined. In attempting to silence potentially deleterious, “non-self”, transcribed, L1 insertions upstream to VH genes, B cells co-opted ancestral HUSH- and AID-mediated defense to incapacitate these L1s, enhancing antibody diversity in the process (Figure 7F). In doing so, this mechanism expands our understanding of the inter-connectivity of the immune system by linking innate and adaptive immunity.

HUSH-AID Partnership

HUSH distinguishes self from non-self nucleic acids and acts as a central hub to recruit other partners to mitigate retroelement mobility.72 For instance, HUSH recruits effectors for histone and DNA methylation and members of RNA decay pathways.66,92,93 This study implicates AID as another HUSH binding partner. AID belongs to the AID/APOBEC family of Zn-dependent cytidine deaminases that convert cytidine of RNA or ssDNA into uridine. APOBEC members have been reported to limit viral and retroelement mobility, through editing or non-editing activity.63,94 While AID/APOBECs mutate retroelement DNA, HUSH silences retroelements at the transcription level by recruiting SETDB1 to deposit repressive H3K9me3 marks.67,69 In mouse embryonic stem cells, HUSH cooperates with the nuclear exosome targeting (NEXT) complex, which guides post-transcriptional 3’ decay of retrotransposon RNAs at HUSH-resident loci.92,95 Our work in hypermutating B cells is analogous, wherein strongly transcribed VH upstream L1-encoding noncoding RNAs trigger HUSH recruitment, along with AID. Of note, HUSH recruitment does not always guarantee HUSH silencing.72 However, we found AID, MPP8, PPHLN1, and H3K9me3 occupancy over the VH upstream L1 (Figure 3D) and AID-mediated mutations within VH upstream L1s themselves (Figure 1H-J, Figure S2J-K). While these old L1s do not encode the machinery necessary for retrotransposition, the cell still likely interprets these transcribed sequences as intrinsically non-self. Therefore, this HUSH-AID partnership in B cells ensures that VH upstream L1s are mutated and also transcriptionally silenced. As a result, AID mutagenesis of VH-proximal retroelements was extended to the VH gene itself, resulting in enhanced humoral immunity.

Old, Fossilized L1s Can Still Influence Cellular Function Independent of Retrotransposition

HUSH has been thought to primarily silence transcribed, intronless, young retroelements.67,69,96,97 Evidence from HUSH ChIP has also shown HUSH occupancy at old, truncated, retrotransposition-dead L1s.70,92 Within the context of our study in hypermutating B cells, transcription of a strong, long, L1-encoding VH antisense RNA offers one plausible mechanism by which an old L1-derived sequence can create a HUSH-targetable substrate.

What is Unique About Hypermutating B Cells?

This begets the question: if old L1s and other retroelements are scattered throughout genome, then why isn’t the HUSH/AID partnership found genome-wide? What is special about B cells? First, AID expression is limited to B cells specifically undergoing SHM in germinal centers or CSR.88,98 Second, young full-length L1s are silenced in most somatic cells.53,99–102 Third, old L1s incapable of initiating transcription themselves won’t be transcribed if located in intergenic regions or too far upstream to genic promoters (Figure 1A-B). Intronic L1s would be spliced out and degraded during pre-mRNA processing, and would likely be resistant to HUSH targeting, given that introns strongly deter HUSH silencing.67 Fourth, not all old L1s upstream to genic promoters will be transcribed, as not all genic promoters are strongly bidirectional. IGH is a uniquely privileged locus, located within a tight-knit TAD full of IGH-specific super-enhancers.25,28,103–107 VH upstream L1s are close to their nearby VH promoters, whose transcriptional output is fortified by the super-enhancer-rich TAD (i.e. IgH TAD). The IgH TAD has two super-enhancers, Eμ and 3’ regulatory region (3’RR), which both drive SHM by activating the VH promoter.108,109 Should a genic promoter experience this “perfect storm” – a nearby upstream L1 coupled with enhancer-boosted bidirectional transcription – then this could possibly explain how HUSH/AID contribute to low levels of off-target SHM. Alternatively, AID off-target genes could recruit AID at very low levels through HUSH-independent mechanisms such as transcription stalling and secondary structure formation.110 By and large, however, HUSH does not seem to recruit AID heavily to other genes or non-Ig L1s genome-wide, evidenced by our AID CUT&RUN data (Figure 4I-L).

The strong transcription of VH upstream L1s, a phenomenon largely unique to IGH, likely explains initial AID recruitment to recombined VH genes in hypermutating B cells, grounded in the evolutionarily conserved defense against non-self sequences. This can also explain why the 3’RR super-enhancer has a remarkably strong effect on SHM.

How Does Recruited AID Ultimately Reach the Recombined VH Gene?

Following transcription of the VH upstream L1, HUSH recruits SETDB1 for H3K9me3 deposition. However, HUSH recruitment does not always guarantee constitutive heterochromatinization. In this case, it is likely that HUSH induces facultative heterochromatinization and does not repress the VH promoter due to the constant activation from two IGH super-enhancers fortified by the IGH TAD. Heterochromatinization then tightens the genomic DNA (flanking the HUSH/SETDB1/AID-bound L1) around histones, contracting this region and bringing everything closer in proximity. Thus, AID need not “spread” or “translocate” hundreds of basepairs into the downstream VH gene; rather, the VH gene comes closer to the AID-localized L1.

SHM at Off-Target Loci vs. Recombined VH Genes

We introduced a cassette in front of non-Ig genes – BCL6, MYC, MKL1 – to see if we could induce SHM at regions normally blind to AID mutagenesis (Figure 6A-F). The cassette contained a strong EF1α core promoter driving transcription of old L1s that were cloned from upstream regions of human VH genes. We observed increased SHM at all three off-target sites, highlighting the versatility of this L1-driven SHM mechanism. In theory, these findings suggest that oncogenes with L1s near their promoters could face elevated risk of AID-mediated genome rearrangements.

AID, MPP8, PPHLN1, and H3K9me3 CUT&RUN revealed that noL1 cells had low levels of AID and HUSH along the recombined VH(D)JH, with correspondingly low levels of SHM (Figure 1D-G). AID and HUSH recruitment were significantly enhanced after insertion of VH upstream L1s (Figure 3D), with correspondingly high levels of SHM, particularly observed after insertion of an upstream 1.5 kb L1 ORF2 fragment (Figure 6G-K). Both full-length (~4 kb) and truncated L1 ORF2 are bona fide HUSH binding substrates.67 Our work suggests that old L1s, when incorporated into a 2–3 kb, strongly expressed transcript, can also serve as HUSH substrates. Moreover, our HUSH CUT&RUN data suggest that the strongly transcribed VH(D)JH RNA may intrinsically possess properties of a HUSH substrate (Figure 3D). Overall, HUSH recruitment is influenced by the strong expression of a 2–3 kb, intronless, L1-encoding VH antisense RNA coupled with the strong expression of a very small intron-containing, 0.5–1 kb nascent VH(D)JH sense RNA originating from stalled/terminated RNAPII.

L1-Encoding VH Antisense Transcription and VH Upstream Mutation Window

Our proposed model also addresses other outstanding questions in the field.111 The AID mutation window has been reported to span roughly +2 kb from the VH TSS.112,113 We showed that transcription of VH upstream L1s aids in recruiting AID to recombined VH(D)JH, supported by AID CUT&RUN signal upstream to the recombined VH(D)JH (Figure 3D) and AID mutations in recombined VH upstream regions containing L1s (Figure 1H-J, S2J-K). Reconsidering AID targeting from the evolutionary perspective of active retrotransposon silencing (Figure 7F) clarifies why AID would initially be recruited upstream to actively transcribed VH genes, expanding upon the current mutation window. This reinforces our hypothesis that AID first evolved to silence actively transcribed retrotransposons, such as L1s, before being serendipitously co-opted over evolution to enhance immunoglobulin somatic hypermutation.

Human Ig Light Chain, Chicken IGH, and L1-IGH Evolution

There are two human light chain loci, comprising ~44 functional kappa (IGK) Vκ genes and ~37 lambda (IGL) Vλ genes. While recombined light chain V genes undergo AID-mediated SHM, we believe the mechanism of AID targeting differs from that proposed herein for recombined VH genes. Human light chain V genes possess scattered upstream L1s, but lack a robust, periodic, consistent enrichment of upstream L1s (Figure S7A, Data S2). Surprisingly, we observed an enrichment of LTR retrotransposons upstream to Vκ genes across species (Figure S7B). Furthermore, RNA sequencing reveals that recombined light chain V promoters are bidirectional (Figure S7C). Vκ antisense transcription of upstream LTRs could very well recruit HUSH and other silencing factors, including AID, to the recombined light chain locus, as LTR sequences have been shown to be targeted by HUSH.70,72,97

Chickens use a vastly different mechanism for antibody diversification known as gene conversion.114,115 Chickens possess a single functional VH gene that is hypermutated through homologous recombination with 80–100 upstream pseudo-VH genes. We detected satellite repeat sequences, not L1s, in front of these pseudo-VH genes (Figure S7D). Satellite repeats of 10–11 bp were located within ~100 bp upstream to pseudo-VH TSSs, with high GC content and high single-stranded DNA/RNA forming properties (Figure S7E-H). The potential to form stable GC-rich secondary structures upon VH antisense transcription could recruit SHM machinery in chickens, a mechanism more analogous to switch region recruitment of AID during CSR.32–34,111 To a lesser extent, chickens also use pseudogene-independent, non-templated hypermutation mechanisms.116,117

Not all VH genes have nearby upstream L1s (Figure S1A-D), and why VH1 and VH3 families each possess their own specific upstream L1s remains to be studied. From our L1-IGH evolutionary heatmap analysis (Figure 7C-E, S6B-D), we found that certain L1-VH1 and L1-VH3 gene units possibly originated from the primate universal common ancestor. These ancestral L1-containing VH1 and VH3 genes were also those most hypermutated among COVID-19 immunized donors. We propose that these L1-associated VH genes may be more useful at neutralizing antigen; over evolution, we preserved and even duplicated these VH genes for better adaptive immunity.

Limitations of the study

Future work will aim to identify ‘AID signatures’ over VH upstream L1s across species, as AID is incredibly homologous across species. Second, HUSH also recruits MORC2, a key effector in chromatin compaction, which might contribute to L1-driven SHM. Third, the relationship between TEs and light chain lambda V genes is less clear, given the complexity of the locus and preference for humans and mice to use light chain kappa V genes more frequently; TE involvement in light chain SHM needs to be experimentally validated. Finally, it is possible that other mechanisms of SHM exist, independent of L1, like those seen at AID off-target sequences or light chain loci. The interplay between L1-driven SHM and these other factors is an area of future study.

RESOURCE AVAILABILITY

Lead Contact

Further information and requests for reagents in this study will be fulfilled by lead contact, Uttiya Basu (ub2121@cumc.columbia.edu)

Materials availability

All the resources generated in this study are available from lead contact with a completed materials transfer agreement.

Data and code availability

  • The sequencing data includes CUT&RUN-seq, RNA-seq, Nanopore sequencing, deposited under BioProject ID PRJNA1355250, by the date of publication.

  • All original code has been deposited at Zenodo (https://doi.org/10.5281/zenodo) and are publicly available as of the date of publication.

STAR★METHODS

EXPERIMENTAL MODEL AND STUDY PARTICIPANT DETAILS

Cell lines

Ramos reporter and derived isogenic edited cell lines were cultured in Iscove’s modified Dulbecco’s medium (ThermoFisher #12440053) supplemented with 10% FBS. SUDHL10 cell lines were cultured in RPMI 1640 medium (ThermoFisher, #11875093) supplemented with 10% FBS. HEK293T cell lines were cultured in DMEM (ThermoFisher, #11965092) supplemented with 10% FBS.

Mice

AID−/− mice were obtained from Dr. Tasuku Honjo (Kyoto University). MPP8exonΔ2/exonΔ2 mice and MPP8f/f were kindly provided by Dr. Sisi Zheng (UT Southwestern). All L1 KO mouse lines were of a 50%:50% hybrid background between C57BL/6J and CBA/J, generated by the Genetically Modified Mouse Models Shared Resource (GMMMSR) at CUIMC. CD19Cre/WT;MPP8f/f mice were generated by crossing CD19Cre/Cre x MPP8f/f mice, then crossing the resulting CD19Cre/WT;MPP8f/WT x MPP8f/f mice. All sgRNAs used for L1 KO mouse line generation and primers for genotyping PCR are listed in Table S4 and Table S5. Mice of both sexes, aged 8 to 16 weeks, were used for experiments. All mouse experiments were approved by the Institutional Animal Care and Use Committee of Columbia University. The housing conditions were 22°C, 50% of relative air humidity, and 12 h light cycles (from 7:00 to 19:00), at Columbia University Medical Center.

METHOD DETAILS

Proliferation dye

Approximately 8 × 106 cells were stained with eBioscience™ Cell Proliferation Dye eFluor™ 670 (Cat# 65–0840-85), following the manufacturer’s protocol, and cultured in 6-well plates. Data for dye intensity was obtained from day 0 to day 6 with a BD® LSR II Flow Cytometer.

Chromatin immunoprecipitation (ChIP)

On a rotator at room temperature, 20 million cells per 50 mL tube were crosslinked at 1% formaldehyde for 10 min, followed by quenching at 125 mM glycine for 5 min. Fixed cells were washed twice with cold PBS supplemented with protease inhibitors (Roche Cat#11836170001) and transferred to a 1.5 mL tube. After centrifugation, cell pellets were snap frozen in liquid nitrogen and stored at −80°C. The next day, cell pellets were thawed and resuspended in cold Lysis Buffer 1 (50 mM HEPES-KOH pH 7.5, 140 mM NaCl, 1 mM EDTA, 10% glycerol, 0.5% NP-40, 0.25% Triton X-100, protease inhibitors) for 10 min rotating at 4°C. Cell pellets were resuspended in cold Lysis Buffer 2 (10 mM Tris-HCl pH 8.0, 200 mM NaCl, 1 mM EDTA, 0.5 mM EGTA, protease inhibitors) for 10 min rotating at 4°C. Cell pellets were resuspended in cold Lysis Buffer 3 (10 mM Tris-HCl pH 8.0, 100 mM NaCl, 1 mM EDTA, 0.5 mM EGTA, 0.1% sodium deoxycholate, 0.5% N-lauroylsarcosine, 1% Triton X-100, protease inhibitors, supplemented with room temperature SDS to a final concentration of 0.1%) and sonicated with a Fisher Scientific Sonic Dismembrator Model 500 (1/8” probe, 25% amplitude, 15 min total ON time, 30 s ON / 59 s OFF). Samples were centrifuged for 10 min at 21,000 rcf, 4°C. Supernatants were transferred to clean 1.5 mL tubes and pre-cleared with 10 μL of pre-washed protein A/G magnetic beads (Thermo Fisher Scientific, #26162) for 1 h at 4°C. Pre-cleared supernatants were transferred to clean 1.5 mL tubes, where 5% sample volume was taken for input. Prepared protein A/G magnetic bead-antibody complexes, containing 10 μg of antibody, were added to the remaining sample, rotating overnight at 4°C; antibodies used were anti-AID23 and normal rabbit IgG control (CST, #2729). The next day, samples were magnetized, supernatants were discarded, and beads were quickly washed twice with 1 mL of Low Salt Buffer (150 mM NaCl, 0.1% SDS, 1% Triton X-100, 1 mM EDTA pH 8.0, 50 mM Tris-HCl pH 8.0), quickly washed twice with 1 mL of High Salt Buffer (500 mM NaCl, 0.1% SDS, 1% Triton X-100, 1 mM EDTA pH 8.0, 50 mM Tris-HCl pH 8.0), quickly washed once with 1 mL of LiCl Buffer (150 mM LiCl, 0.5 sodium deoxycholate, 0.1% SDS, 1% NP-40, 1 mM EDTA pH 8.0, 50 mM Tris-HCl pH 8.0), and lastly washed for 1 min in TE buffer (1 mM EDTA, 10 mM Tris-HCl pH 8.0). Samples were taken off the magnet and eluted in 100 μL of Elution Buffer (1% SDS, 50 mM Tris-HCl pH 8.0, 10 mM EDTA, 200 mM NaCl) for 15 min, 65°C, 1500 rpm in a ThermoMixer. The supernatant was transferred to a clean 1.5 mL tube and the elution step was repeated, pooling together both supernatants. Eluates from each sample, along with input aliquots supplemented with ~200 μL Elution Buffer, were incubated overnight at 65°C, 1500 rpm in a ThermoMixer for reverse crosslinking. The next day, samples received 200 μL of TE buffer, 1 μL of 100 mg/ml RNase A (Qiagen, #19101), and were incubated for 1 h at 37°C. Samples received 7 μL of CaCl2 solution (300 mM CaCl2, 10 mM Tris pH 8.0), 5 μL of 20 mg/mL Proteinase K (Viagen, #502-PK), and were incubated for 1 h at 55°C. DNA was isolated using column purification kit (Zymo Research, #D4011), eluted in 50 μL H2O, and quantified using Qubit dsDNA High Sensitivity assay (Invitrogen, Q32851). Samples were analyzed by qPCR, using the primers listed in Table S4.

Co-immunoprecipitation (co-IP)

Two days post-transfection, approximately 4 × 107 HEK293T cells were washed twice with cold PBS, lysed in 1 mL of non-denaturing lysis buffer (20 mM Tris pH 7.5, 150 mM NaCl, 1 mM EDTA, 1 mM EGTA, 1% Triton X-100, 1 mM AEBSF) supplemented with protease inhibitors (Roche Cat#11836170001), transferred to a dounce homogenizer (Thermo Fisher Scientific, #50–194-5204) for 20 sets of homogenization, transferred to a 1.5 mL tube rotating at 4°C for 1 h, and cleared by centrifugation at 21,000 rcf, 4°C, 30 min. Clarified lysate supernatants were transferred to protein LoBind tubes, where 5% volume was taken for input, mixed with Laemmli buffer, and stored at −80°C. The remainder of the supernatant received anti-c-Myc-conjugated agarose beads (Sigma, #A7470), anti-HA-conjugated agarose beads (Sigma, #A2095 or #SAB5900003), or anti-FLAG-conjugated agarose beads (Sigma, #A2220) for 12–16 h rotating at 4°C. Then, beads were washed five time with cold lysis buffer, resuspended in PBS, mixed with Laemmli buffer, boiled for 10 min, and subjected to SDS-PAGE.

Proximity ligation assay (PLA)

B cells were seeded onto poly-L-lysine-coated coverslips in 24-well plates for 30 min and then PLA was performed according to the manufacturer’s protocol (Sigma, DUO92013). Images were acquired using a Nikon Ti Eclipse inverted microscope for spinning-disk confocal microscopy (HICCC Confocal and Specialized Microscopy Core, CUIMC). The number of PLA+ cells and foci per cell were quantified by FIJI/ImageJ. Antibodies used for PLA are: mouse anti-AID (Santa Cruz, #sc-518170), rabbit anti-MPP8 (ProteinTech, #16796–1-AP), rabbit anti-PPHLN1 (Novus Bio, #NBP2–98653), rabbit anti-TASOR (ProteinTech, #30188–1-AP).

Plasmids for CRISPR/Cas9-mediated HDR knock-in of Ramos reporter cell lines

For CRISPR/Cas9-mediated HDR knock-in projects, a modified version of pMaxGFP (Lonza) containing ampicillin resistance and the pUC18 MCS, termed pMaxGOAT, was used as a backbone for most HDR donor templates. Various gBlocks (LHA-MCS-RHA) were ordered from Twist Biosciences and inserted into pMaxGOAT, where LHA and RHA corresponded to the appropriate left and right homology arms for a given genomic insertion site. Lastly, various transposon or protein-coding gene sequences were PCR amplified from human DNA (i.e. Ramos cells) or mouse genomic DNA (WT hybrid mouse tail) and inserted into the MCS between the LHA and RHA in pMaxGOAT. To initiate the HDR response in cells, spCas9 and two separate gRNAs were all expressed from a single modified plasmid, px333-T2A-EGFP (Addgene, #197417), which we also modified to express mTagBFP2 (for CRISPR/Cas9-mediated HDR projects). For straight CRISPR/Cas9-mediated KO cell line generation, each sequence was targeted by four gRNAs; we cloned four separate gRNAs, each under the control of its own U6 promoter, into px333-T2A-EGFP, or cloned two separate gRNAs into px333-T2A-EGFP and two separate gRNAs into px333-T2A-mTagBFP2. After nucleofection with these constructs, cells were single sorted by FACS, based on EGFP+ and/or mTagBFP2+ status. Sequences for all PCR- and cloning-related primers, gRNAs, gBlocks, and plasmid backbones are listed in Table S4.

Generation of edited Ramos reporter cell lines

For all edited cell lines that were generated, 5–8 × 106 cells were nucleofected with 1 μg plasmid midiprep DNA per million cells, in homemade nucleofection buffer, using program O-006, according to the Amaxa Nucleofector 2b instructions. After 32–48 h, successfully nucleofected (i.e. EGFP+ and/or mTagBFP2+) cells (and mCherryhigh for Ramos reporter derived lines) were single sorted into 96-well plates containing media and incubated for 2–3 weeks to allow for single cells to expand. Genomic DNA from expanded clones was isolated according to DirectPCR Lysis Reagent (Viagen, #302-C) manufacturer instructions and directly used as template for genotyping PCR. For the promoter-dead noL1 and yesL1 cell lines, expanded single cell clones were first screened by genotyping PCR for recombined VH4–34 promoter deletion, which was achieved by utilizing 2 unique gRNAs upstream and 2 unique gRNAs downstream to the predicted VH4–34 promoter. Clones with confirmed deletions were expanded and assayed by RT-qPCR for sense and antisense VH4–34 RNA levels, relative to those from unedited parental cells. Given the possible gRNA combinations a given cell could experience, in addition to the stochasticity of post-cleavage error prone repair (i.e. non-homologous end joining), clones with varying degrees of promoter behaviors were obtained – some clones had indels that disrupted both sense and antisense transcription, while others had indels that disrupted only antisense transcription. Primers for genotyping PCR are listed in Table S4.

In vitro SHM assay

To initiate SHM, Ramos reporter and derived edited cell lines were treated with 0.25 μM 4-OHT or without (i.e. EtOH, to assess background) for 7 d. Cells were then analyzed for loss of mCherry fluorescence or sorted by FACS based on mCherrylow status. Before each experiment, cells were sorted by FACS to collect the top 5% brightest mCherry+ cells to limit background mutated cells from the population, due to slight leakage of AID-ERT2 into the nucleus and/or low levels of endogenous AID.

UMI-based library construction and sequencing

Sorted mCherry− Ramos reporter and derived edited cell lines, treated with or without 4-OHT, or sorted mouse germinal center spleen/PP B cells, were lysed in 200 μL of lysis buffer (10 mM Tris-HCl pH 8.0, 100 mM NaCl, 10 mM EDTA pH 8.0, 0.5% SDS) supplemented with 1:100 of 20 mg/ml proteinase K (Viagen, #502-PK) overnight at 55°C. The next day, genomic DNA was isolated via PCI (25:24:1) method and precipitated overnight at −20°C in glycogen, acetate and ethanol. The next day, DNA pellets were quantified by Nanodrop. UMI-based libraries were created by two rounds of PCR reactions. The first round of PCR used Platinum™ SuperFi II DNA Polymerase (ThermoFisher, #12361010), starting with 2.0 μg of genomic DNA as template for four PCR reactions for Ramos samples or 0.5–1.0 μg of genomic DNA as template for one PCR reaction for mouse samples. For Ramos samples, a UMI-containing primer against VH4–34 exon 2 (Table S4) was used and the PCR cycles were limited to a maximum of four cycles to avoid reduplicative adding of UMIs to the same VH(D)JH sequences. For mouse samples, UMI-containing primers against VH1–11, VH1–64, VH1–47, or VH9–4 were used and the PCR cycles were limited to a maximum of six cycles (Table S4). First round PCR products were purified by gel extraction (Qiagen, #28706). The second round of PCR also used Platinum™ SuperFi II DNA Polymerase, using the purified products from the first round of PCR as template, and i5/i7 adaptors (NEB, #7600S) as primers. The final libraries were purified by gel extraction and/or SPRIselect beads (Beckman Coulter, #B23318), and analyzed by Qubit or Bioanalyzer. PCR amplicon libraries were sequenced by AVITI sequencing (Element Biosciences) or Nanopore targeted linear amplicon sequencing. For each sample, the measured mutation frequency from the −4OHT condition (i.e. background) was subtracted from the measured mutation frequency from the +4OHT condition; the difference was considered mutation due to AID activity.

VH upstream region targeted sequencing for SHM

VH upstream regions containing or lacking L1s were sequenced from noL1 and yesL1 cells (i.e. VH4–34 upstream regions) and WT hybrid mice (i.e. VH1–11 upstream regions). Prior to sequencing, reporter cell lines were treated with and without 4-OHT for 7 days to induce AID-mediated SHM. Genomic DNA from all conditions was used as PCR template. For each sample, the mutation frequency from the −4OHT condition (i.e. background) was subtracted from the mutation frequency from the +4OHT condition; the difference was considered mutation due to AID activity. In noL1 cells, to sequence the L1-lacking region upstream to the recombined VH4–34, an initial PCR was performed using an mCherry-specific reverse primer and VH4–34 upstream forward primer, followed by a second PCR using the same forward primer and different VH4–34 upstream reverse primer. In mice, a single PCR was performed using primers located upstream to VH1–11 that did not distinguish recombined from non-recombined VH1–11 genes. For PCRs using mouse tail genomic DNA as template, both VH1–11 genes are non-recombined. For PCRs using sorted spleen GC B cell DNA as template, it was difficult to sequence upstream regions from only the recombined V1–11H(D)JH gene, so our results our potential diluted by reads from the upstream region of non-recombined VH1–11 genes. Regardless, with this set up, we were still able to detect significant hypermutation from GC B cells VH1–11 upstream regions. PCR amplicon libraries were sequenced by Nanopore linear amplicon sequencing. Primers listed in Table S4.

Off-target SHM sequencing

EF1α and EF1α-old3xL1 upstream knock-in BCL6, MYC, and MKL1 reporter cell lines were treated with and without 4-OHT for 7 days to induce AID-mediated SHM. Genomic DNA from both conditions was used as PCR template. To ensure sequencing of the allele containing EF1α or EF1α-old3xL1, forward primers against the cassettes were used with reverse primers located in the downstream gene body. PCR amplicon libraries were sequenced by Nanopore linear amplicon sequencing. For all three off-target genes, only the hypermutation zones were measured for mutations, comprising all or most of the first intron. For each sample, the mutation frequency from the −4OHT condition (i.e. background) was subtracted from the mutation frequency from the +4OHT condition; the difference was considered mutation due to AID activity. Primers listed in Table S4.

In vivo analysis of VH upstream L1s acting in cis on associated recombined VH gene

For the VH1–11 condition analysis, we identified the most immediate upstream and downstream VH genes as VH1–12 and VH1–9, respectively. Using genomic DNA of spleen GC B cells from immunized WT and VH1–11 L1 KO mice as PCR template, recombined VH1–12(D)JH and VH1–9(D)JH sequences were amplified using UMI-containing, adaptor-containing VH1–12 and VH1–9 forward primers, respectively, and degenerate JH reverse primers. Note that the millions of sorted spleen GC B cells from WT and L1 KO mice each likely used a unique recombined VH(D)JH; UMI-containing primers addresses the presence of clones. This process was repeated for VH1–64 L1 KO, VH1–47 L1 KO, and VH9–4 L1 KO spleen GC B cell DNA. PCR amplicon libraries were sequenced by Nanopore linear amplicon sequencing. Primers listed in Table S4.

Analysis of SHM frequency (Nanopore)

Preprocessing of V(D)J sequencing data:

For VH(D)JH PCR amplicon library long-read sequencing data, reads were first examined based on their unique molecular identifier (UMI) barcodes. Reads sharing the same UMI were collapsed to eliminate PCR duplicates. Only reads with lengths between 400–800 bp and average quality score >20 were retained for further analysis. As the sequencing libraries were prepared using VH gene-specific primers for all mouse experiments, reads were further filtered according to primer alignment quality. Specifically, a primer sequence was required to align within the 1–100 bp region of the read, with fewer than seven mismatches between the primer and the aligned sequence. Reads not meeting these criteria were excluded from downstream processing.

VH(D)JH gene annotation and calculation of SHM frequency:

Germline V(D)J gene annotation was performed on pre-processed VH(D)JH reads using IgBLAST with IMGT/V-QUEST reference sequences. The distribution of RGYW/WRCY motifs was recorded for each reference VH gene allele to visualize potential AID hotspot patterns. A nucleotide was considered a mutation only if it differed from the germline reference and had a sequencing quality score >30, corresponding to an error probability of <0.001. SHM frequency was then calculated as the number of nucleotide mismatches relative to the inferred germline sequence across the variable (V) segment up to the CDR3 boundary. To obtain a condition-level estimate, the mean mutation frequency was computed by averaging the mutation frequencies across all nucleotide positions within each condition.

Analysis of targeted DNA sequencing (AVITI)

Raw base files from Element AVITI sequencer were converted to FASTQ files by Bases2Fastq. To correct potential sequencing errors, reads with at least one PCR duplicate were kept for downstream analysis. As PCR duplicates (read cluster) share the same unique molecular identifier (UMI), we reconstructed each consensus read by collapsing reads of same UMI via the following steps: 1) read clusters were multi-aligned; 2) for each position, a consensus base was called by voting strategy (a tie was masked by ‘N’), consensus quality score was assigned by the average score of all bases in that position; 3) consensus reads with average quality score less than 20 were discarded. To estimate the SHM frequency, consensus reads were aligned to the reference sequence. We adjusted the reference sequence if the mutation frequency of any position was higher than 60%, as this very high mutation frequency is likely due to the single nucleotide polymorphism (SNP) of the genetic background. Overall and per-base mutation frequencies were calculated by # mutations/# total bases × 100.

Immunization of mice

2 mL citrated sheep blood (Colorado Serum Company, #NC9534568) was washed twice with 50 ml cold PBS and resuspended in 1 mL PBS. 200 μL of resuspended SRBCs was i.p. injected into each mouse on day 0 and day 5. On day 10 post-immunization, mice were sacrificed for spleen and PP germinal center B cell isolation.

Flow cytometry and cell sorting

Immunized mouse spleen and PP cells were washed in PBS and resuspended in FACS buffer (2%FBS/PBS) containing antibodies (BV421 anti-B220, clone RA3–6B2; PE anti-GL7, clone GL7; APC anti-CD95, clone SA367H8, BD Biosciences; 1:400 dilution) for 30 min at 4°C. Cells were washed in cold PBS and resuspended in FACS buffer for bulk cell sorting (B220+GL7+CD95+ for spleen GC B cells and B220+GL7+ for PP GC B cells). Sorting was performed using BD FACS Aria II or Sony MA900 cell sorters (CSCI Flow Cytometry Core Facility, CUIMC). Flow cytometry data were analyzed using FlowJo.

Ex vivo class switch recombination (CSR) for spleen B cells

CD43− B cells from mouse spleens were stimulated with LPS (20 μg/ml) (Sigma-Aldrich) for IgG3 CSR; LPS (20 μg/ml) and IL-4 (20 ng/ml) (PeproTech) for IgG1 CSR; and LPS (10 μg/ml) (Sigma-Aldrich), TGF-β (2 ng/ml) (R&D Systems), and anti-IgD dextran (0.33 μg/ml) (Fina Biosolutions) for IgA CSR. CSR efficiency of each isotype was measured after 72 to 96 h. FITC anti-B220 (BioLegend)/PE anti-IgG1 or PE anti-IgA (BD Biosciences); or PE anti-B220 (BD Biosciences)/FITC anti-IgG3 (BioLegend), were used for staining cells for flow cytometry acquisition on a BD LSR Fortessa or BD Accuri C6 Plus.

CSR for immunized spleen B cells

CD43− spleen B cells were isolated from SRBC-immunized mice, 10 d post-immunization, and stained with FITC anti-B220 (BioLegend)/PE anti-IgG1 (BD Biosciences). IgG1 CSR was measured by flow cytometry on a BD LSR Fortessa or BD Accuri C6 Plus.

CUT&RUN-seq library preparation and data analysis

CUT&RUN was performed according to the manufacturer’s protocol using CUTANA ChIC/CUT&RUN Kit (Epicypher, 14–1048). Briefly, noL1 and yesL1 reporter cells, lacking or possessing HUSH subunit PPHLN1, were treated with 4-OHT for approximately four days, to induce AID nuclear translocation. Approximately 1 million cells were harvested for nuclei extraction. Isolated nuclei were bound to activated concanavalin A-coated magnetic beads and then incubated at 4°C overnight on a nutator with 0.5 μg of the following antibodies: anti-AID (sc-518170), anti-AID23, anti-AID (ProteinTech, #15642–1-AP), anti-MPP8 (ProteinTech, #16796–1-AP), anti-PPHLN1 (Novus Bio, #NBP2–98653), anti-H3K9me3 (Abcam, #ab8898). The next day, samples were washed with cell permeabilization buffer and resuspended in cell permeabilization buffer containing 2.5 μl pAG/MNase for 10 min at room temperature. After two washes with cell permeabilization buffer, 1 μl 100 mM CaCl2 was added at 4°C for 2 h on a nutator. 33 μl stop buffer containing E. coli spike-in DNA was added and incubated at 37°C for 10 min. DNA was purified using SPRIselect beads. Libraries were prepared using the NEBNext Ultra II DNA Library Prep Kit (NEB, #E7600S) and sequenced on an Illumina NextSeq (paired-end, 2 × 150 bp).

Raw FASTQ files were preprocessed using fastp v1.0.1118 to trim adapters and low-quality bases. Reads shorter than 30 bp were discarded. High-quality reads were aligned to human reference genome (hg38) and E. coli K12 MG1655 spike-in genome separately using bowtie2119. For constructs with L1 and without L1, the corresponding chrTruncL1VDJ and chrVDJ sequences were added to the hg38 genome. Samtools v1.22.1121,123 was used to process the resulting BAM files, and duplicates were removed using Picard MarkDuplicates. To ensure quantitative comparability across samples, normalization was performed using spike-in scale factors:

scalefactor=−No.ofuniquereadsmappedtohg38genomeNo.ofuniquereadsmappedtoE.coligenome×0.01

Normalized BigWig files were generated from deduplicated BAM files using deepTools bamCoverage. To enable direct comparison between the different constructs, liftOver was applied to align the coordinates of the chrVDJ sequence to chrTruncL1VDJ sequence. Finally, deepTools bigwigCompare120 was used to subtract the IgG control signal. Tracks were visualized using Integrative Genomics Viewer124. Raw read counts for defined genomic regions were generated using featureCounts v2.1.1, with spike-in scale factor normalization. Off-target gene promoters were defined as the window [−2000, +200] bp relative to the Transcription Start Site (TSS). Full-length LINE-1 (L1) elements were retrieved from the L1Base database.125 Off-target L1 were identified based on the presence of L1 elements within the [−2500, 0] bp upstream region of the TSS. Statistical significance between HUSH-WT and HUSH-KO groups was determined using a two-tailed paired t-test.

To define the HUSH-occupied genes, we utilized a signal-subtraction and intersection approach. For each HUSH component (MPP8 and PPHLN1), the HUSH-WT enriched signal was isolated by subtracting the signal of the respective knockout (HUSH-KO) from the wild-type (HUSH-WT). The mean signal intensity for each gene was calculated and sorted using deepTools computeMatrix. The top 1,000 enriched genes were retrieved for two technical replicates of MPP8 and one replicate of PPHLN1. MPP8- occupied genes were defined as the intersection of the top 1000 genes from both MPP8 replicates. Finally, HUSH-occupied genes were defined as the intersection between the MPP8-occupied genes and the PPHLN1-occupied genes. To visualize the enrichment landscape at these loci, deepTools plotHeatmap was used to generate heatmaps and aggregate distribution profiles.

Genomic distribution of upstream transposable elements (TEs)

To quantify transposable elements (TEs) located upstream to genes, we used GENCODE v46 for human gene annotations and GENCODE vM35 for mouse gene annotations. Genomic coordinates of repeat elements were obtained from https://labshare.cshl.edu/shares/mhammelllab/www-data/TEtranscripts, specifically from the files GRCh38_GENCODE_rmsk_TE.gtf.gz (human) and GRCm39_GENCODE_rmsk_TE.gtf.gz (mouse). We analyzed the upstream distribution of major TE classes – including LINE-1, SINE, LTR, and DNA transposons – across different gene groups: (i) all protein-coding genes, (ii) IGHV genes, and (iii) AID off-target genes (BCL6, CD19, CD83, CD79B, JUND, RHOH, PIM1, EBF1, PAX5, MYC, PTEN, GATA3, TCF7, BCL2, BTG2, CXCR4, ZFP36L1, BTG1, DTX1, SGK1, ARID5A, BATF, DDIT4, IL21R, IL4RA, SOCS1, TRAF1, SLC25A19, NFKB1, IRF2BP2). Genomic density plots were generated to visualize and compare the distribution of upstream TEs across these gene categories.

Detection of VH upstream L1s across species

To investigate the conservation of L1 elements enriched upstream to IGHV genes, we analyzed over 20 species spanning reptiles, birds, and mammals. Genome assemblies, repeat element annotation files, and gene annotation files (GTF) were downloaded from UCSC website (https://hgdownload.soe.ucsc.edu/downloads.html). IGHV genes were identified using IgDetective126 for all species except chicken, for which IGHV loci were obtained from IMGT (https://www.imgt.org/IMGTrepertoire/index.php?section=LocusGenes&repertoire=genetable&species=Chicken&group=IGHV). For all species except chicken, repeat element tracks were intersected with the 20 kb upstream regions of IGHV genes, and the density of the closest LINE elements was plotted.

In chicken, only a single IGHV gene (IGHV1–1) is annotated as functional, and its 20 kb upstream region lacks LINE, SINE, and LTR elements. To comprehensively examine the IGHV locus, we analyzed all 94 IGHV genes annotated in the IMGT database, including pseudogenes. These 94 IGHV genes are all located on chromosome 31 and span an approximately 86 kb genomic region. Intersection of this region with the RepeatMasker annotation track revealed a high abundance of satellite elements in regions upstream to the chicken IGHV genes.

A Kolmogorov-Smirnov (KS) test was performed to compare all annotated genes in the GTF file with IGHV genes to assess statistical significance (p-value) for each species.

GC content analysis of upstream regions of chicken IGHV genes

For the 94 IGHV genes and all other annotated genes in the chicken genome, we extracted the 1 kb region upstream to their transcription start sites (TSSs). GC content was calculated using a sliding window approach (100 bp window, 50 bp step). Two independent random control sets (n = 94 genes each) were generated by sampling from all annotated genes in the genome.

RNA secondary structure analysis

For the 97 satellite elements located within the chicken IGHV region, we identified element pairs separated by less than 3 kb and predicted their RNA secondary structures using the RNAfold algorithm from the ViennaRNA package.127 Given that inverted repeat elements can promote RNA stem–loop formation128,129, we specifically assessed the potential for secondary structure formation between paired satellite elements within this region.

Detection of light chain kappa V upstream LTRs across species

We examined whether LTR elements were enriched upstream to human IGKV genes, and whether this enrichment pattern was conserved across species. Genome assemblies, repeat element annotation files (rmsk), and gene annotation files (GTF) were downloaded from UCSC. IGKV genes were identified using IgDetective126 for species other than humans. For each species, repeat element tracks were intersected with the 20 kb upstream regions of IGKV genes, and the density of the closest LTR elements was plotted. A Kolmogorov–Smirnov (KS) test was performed to compare all annotated genes in the GTF file with IGHV genes to assess statistical significance (p-value) for each species.

Antisense RNA quantification of IGHV and IGKV genes in wildtype mouse GC B cells

Strand-specific RNA-seq data were obtained from the NCBI Sequence Read Archive (SRA) under accession number PRJNA544488.89 Two biological replicates for in vivo germinal center (GC) B cells (SRR13010632 and SRR13010634) and two for in vitro B cells undergoing IgG1 CSR (SRR13010636 and SRR13010638) were analyzed. Paired-end reads were aligned to the mm39 mouse reference genome using STAR, and only properly paired, uniquely mapped reads with a mapping quality (MAPQ) > 30 were retained for downstream analyses. The total number of reads remaining after filtering was used to estimate the sample-specific library size. Reads were assigned to sense or antisense transcription according to the mapping strand information in relation to the annotated strand of each gene. For each IGHV and IGKV gene, we quantified the number of reads within ±5,000 bp of the TSS. Strand-specific coverage at each nucleotide position was computed and normalized to reads per million (RPM) based on the corresponding library size. The mean RPM across all detected VH and Vk genes at each nucleotide position was then calculated for Figure 5E and Figure S7C.

Quantification of antisense RNA activity in mouse B cells

We quantified antisense RNA activity in GC B cells and IgG1 CSR-activated B cells. Strand-specific RNA-seq data for GC and CSR-activated B cells were obtained from the NCBI Sequence Read Archive (SRA) under accession number PRJNA544488.89 Two replicates (SRR13010632 and SRR13010634) represent in vivo GC B cells and two replicates (SRR13010636 and SRR13010638) correspond to CSR-activated B cells. All sequencing datasets were processed using a uniform bioinformatics pipeline, as detailed in the “Antisense RNA quantification of IGHV genes in wildtype mouse germinal center B cells” section, to ensure consistency across samples. For Ighg1, the TSS was defined at chr12:113,302,000. Sense transcripts were quantified within the region chr12:113,288,000–113,302,000 (14 kb upstream to the TSS), and antisense transcripts within chr12:113,302,000–113,309,000 (7 kb downstream to the TSS). For Ighm, the TSS was set at chr12:113,389,500, with sense transcripts quantified across chr12:113,381,500–113,389,500 (8 kb upstream) and antisense transcripts across chr12:113,389,500–113,394,500 (5 kb downstream). To quantify antisense RNA activity, we extracted the peak reads per million (RPM) value of antisense transcripts within the upstream TSS region and normalized it with the peak RPM of sense transcripts within the downstream TSS region. This normalized value was recorded as the peak ratio. Similarly, we calculated the area under the curve (AUC) for antisense expression in the upstream TSS region and normalized it with the AUC of sense expression in the downstream TSS region, defining this normalized metric as the AUC ratio.

Strand-specific RNA sequencing of mouse spleen naïve B cells

IgM+ B cells from unimmunized mouse spleens were sorted on BD FACS Aria II or Sony MA900 cell sorters. Cells were washed once with 1XPBS and the pellet was resuspended in TRIzol, chloroform for RNA extraction. Libraries were prepared from 2 ug of total RNA by Azenta, using rRNA depletion approximately 20–30 million reads per sample. After indexed adaptor ligation, samples were pooled. Strand-specific RNA-seq was performed on Illumina NextSeq machine, 2×150bp paired-end reads.

VH expression and usage analysis

Strand-specific RNA-seq was performed on naïve spleen B cells from 20 mice across five experimental groups (n = 4 per group): WT, VH1–11 upstream L1 KO, VH1–64 upstream L1 KO, VH1–47 upstream L1 KO, and VH9–4 upstream L1 KO. Raw FASTQ files were preprocessed using fastp v1.0.1118 to remove adapters and low-quality bases, reads shorter than 30 bp were discarded. High-quality reads were aligned to the mouse reference genome (mm39) using STAR v2.7.11 b.130 Post-alignment processing was conducted with Samtools v1.22.1123 and duplicate reads were marked using Picard MarkDuplicates. Gene expression matrices were generated using featureCounts v2.1.1, with RPKM (Reads Per Kilobase per Million mapped reads) normalization. TRUST4122 was used to analyze VH and JH gene usage based on the preprocessed FASTQ files for each sample. Differential usage of specific VH gene was assessed using the Wilcoxon test, with p-values adjusted for multiple comparisons using the Benjamini-Hochberg procedure. Overall variation in VH families across the five groups was evaluated using the non-parametric Kruskal-Wallis test.

Transcription factor (TF) binding motif analysis

For the 48 protein-coding human IGHV genes and 47 AID off-target genes, the 2 kb upstream sequences were retrieved for transcription factor (TF) binding motif analysis. Motif scanning was performed using FIMO131 against 1,518 well-characterized human motifs from the JASPAR 2024 CORE collection.132 To minimize false positives, a stringent p-value threshold of 1 × 10−6 was applied.

Analysis of BCR-sequencing from SARS-CoV-2 mRNA vaccine-immunized patients

Processed transcriptomic and B-cell receptor (BCR) repertoire data were obtained from Zenodo (https://doi.org/10.5281/zenodo.7719030).91 The dataset includes BCR sequences from six human donors collected at multiple timepoints across different tissue compartments before and after SARS-CoV-2 mRNA vaccination. For somatic hypermutation analysis, we focused on reads derived from germinal center compartments. To mitigate variation in sequencing depth across time points and donors, we combined reads from b0_d60 and b0_d110 timepoints to increase coverage and reduce batch effects. Each read in the downloaded dataset had been annotated with germline IGHV gene allele using IgBLAST. Only IGHV genes with at least 50 mapped reads were retained for downstream analysis. Somatic mutations were identified by aligning each read to its inferred germline sequence spanning the VH-segment regions FWR1, CDR1, FWR2, CDR2, and FWR3. Reads containing more than 50 mutations were excluded to avoid potential artifacts arising from incorrect germline allele assignments. For each donor, we calculated the mean number of mutations in the CDR1 and CDR2 regions for each VH gene. To examine the relationship between mutation patterns and upstream genomic context, IGHV genes were classified according to their nearest upstream L1 element. VH genes whose upstream L1 element had >50% of its length within 2 kb were assigned to the “>50%” group (i.e. 29 VH genes), while the remainder were classified as the “<50%” group (i.e. 20 VH genes). In the dot plots, the mean number of mutations per VH gene in the CDR1 and CDR2 regions was visualized for each donor, with VH genes color-coded according to their group classification. Statistical significance between groups was assessed using a one-tailed Student’s t-test.

Analysis of AID mutating VH upstream region with or without L1

To maximize data accuracy and address the presence of molecular concatemers (tandemly joined molecules within a single read), we employed a two-stage alignment strategy. Raw Oxford Nanopore reads were initially mapped to the reference construct using minimap2 v2.30. To ensure that each analyzed read represented a single, unique molecular event and to eliminate chimeric noise, only primary alignments were isolated. To ensure the fidelity of SHM quantification, only reads with a mean q-score > 25, and length between 300–600 bp (constructs without L1) or between 800–1200 bp (constructs with L1) were retained. These filtered, high-quality reads were re-aligned to the reference using minimap2 v2.30. To perform high-resolution variant calling, Samtools v1.22.1 was used to process alignment files with a stringent quality threshold (-q 30 -Q 30). To focus on AID-driven diversification and eliminate Nanopore-specific artifacts, the analysis was restricted to single-nucleotide point mutations, with insertions and deletions (indels) programmatically excluded.

VH gene and upstream L1 identification in non-human primates

Six primate species, including human, gorilla, bonobo, chimpanzee, orangutan, and rhesus macaque, were analyzed to assess VH upstream L1 element distribution. For human, annotations of 49 protein-coding IGHV genes were obtained from the GTF file (hg38). Due to incomplete annotation of non-human primate genomes, IgDetective133 was used to identify IGHV genes. Only productive IGHV genes located on the main chromosome (chr14 for bonobo, chimpanzee, gorilla, and orangutan; chr7 for rhesus macaque) were retrieved for downstream analyses. A total of 51 IGHV genes were retrieved for gorilla, 39 for bonobo, 41 for chimpanzee, 61 for orangutan, and 80 for rhesus macaque. Phylogenetic trees were reconstructed based on IGHV nucleotide sequences to annotate IGHV families in non-human primates based on human IGHV annotations. MAFFT v7.526134 was used for multiple sequence alignment of IGHV nucleotide sequences, and FastTree v2.2.0135 was used for phylogenetic reconstruction with default parameters. Based on RepeatMasker annotation, IGHV genes containing L1 elements within a 2.5 kb upstream window were classified as IGHV with L1 elements. If a VH gene did not have a nearby upstream L1 within this window, it was omitted from the heatmap. Species tree in heatmap was based on TimeTree.

BLASTN pairwise identity heatmap

The heatmap shows pairwise sequence identity of L1ME1/L1ME2 elements located within 2.5 kb upstream to IGHV3 genes across six primate species. Pairwise identities were calculated using BLASTN (v2.17.0, e-value < 10⁻⁵). Rows and columns correspond to individual L1 elements; color intensity represents the percentage of sequence identity (darker shades indicate higher identity). Hierarchical clustering was performed on the pairwise identity matrix to group elements with similar sequences. Branches and nodes of the dendrogram indicate sequence similarity relationships. Elements connected by nodes share higher sequence identity and the branch lengths reflect relative sequence divergence. Colored bars below the heatmap indicate individual L1 elements, matching the hierarchical clustering order.

QUANTIFICATION AND STATISTICAL ANALYSIS

Quantification and statistical tests were performed using GraphPad Prism (v8.0.2) or R (v3.5.1, http://www.R-project.org) and are explicitly stated in each figure legend. Unless otherwise stated, all data is plotted with individual data points and the error bars represent standard error of the mean, where *, P < 0.05; **, P < 0.01; ***, P < 0.001; ****, P < 0.0001; ns, not statistically significant. In all plots related to mouse experiments, each data point represents one mouse.

Supplementary Material

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SUPPLEMENTAL INFORMATION

Document S1. Figures S1–S7

Table S1: VH Gene Upstream L1 Subfamilies, Human+Mouse, related to STAR Methods

Table S2: Gene Lists, related to STAR Methods

Table S3: K-S Statistical Testing, related to STAR Methods

Table S4: Oligos, Inserts, gBlocks, Plasmids, related to STAR Methods

Table S5: L1 KO and MPP8 KO Mouse Line Generation, related to STAR Methods

Data S1: SHM of noL1 cells (HUSH WT vs KO), related to Figure 3

Data S2: Evolutionary Age of the Nearest VH Upstream L1, related to Figure 7

Key resources table.

REAGENT or RESOURCE SOURCE IDENTIFIER
Antibodies
AID (H-3) antibody Santa Cruz sc-518170
Rabbit anti-AID antibody ProteinTech 15642-1-AP
Rabbit anti-AID antibody Basu et al.23 N/A
MPP8 polyclonal antibody ProteinTech 16796-1-AP
TASOR polyclonal antibody ProteinTech 30188-1-AP
PPHLN1 antibody Novus Bio NBP2-98653-50ul
Anti-Histone H3 (tri methyl K9) antibody - ChIP Grade Abcam ab8898
Normal Mouse IgG CST 68860
Rabbit IgG CUT&RUN Negative Control Antibody EpiCypher 13-0042
Chemicals, peptides, and recombinant proteins
DirectPCR Lysis Reagent Viagen 301-C
Critical commercial assays
CUTANA™ E. coli Spike-in DNA Epicypher 18-1401
Concanavalin A Conjugated Paramagnetic Beads Epicypher 21-1401
NEBNext® Multiplex Oligos for Illumina New England Biolabs E7600S
pAG-MNase for ChIC/CUT&RUN Workflows Epicypher 15-1016
Experimental models: Cell lines
noL1 Ramos reporter Wang et al.58 N/A
yesL1 Ramos reporter This paper N/A
yesL1#2 Ramos reporter This paper N/A
MPP8 KO noL1 Ramos reporter This paper N/A
MPP8 KO yesL1 Ramos reporter This paper N/A
PPHLN1 KO noL1 Ramos reporter This paper N/A
PPHLN1 KO yesL1 Ramos reporter This paper N/A
TASOR KO noL1 Ramos reporter This paper N/A
TASOR KO yesL1 Ramos reporter This paper N/A
HBB (sense) KI Ramos reporter This paper N/A
HBB (antisense) KI Ramos reporter This paper N/A
AluSc5 KI Ramos reporter This paper N/A
AluSc5 KI Ramos reporter This paper N/A
Charlie2b KI Ramos reporter This paper N/A
MER54A KI Ramos reporter This paper N/A
SVA-D KI Ramos reporter This paper N/A
5xAlu KI Ramos reporter This paper N/A
noL1 SUDHL10 (i.e. WT) This paper N/A
yesL1 SUDHL10 This paper N/A
noL1 HEK293T (i.e. WT) This paper N/A
yesL1 HEK293T This paper N/A
VH4-34 promoter-dead noL1 Ramos reporter This paper N/A
VH4-34 promoter-dead yesL1 Ramos reporter This paper N/A
EF1α upstream BCL6 Ramos reporter This paper N/A
EF1α-old3xL1 upstream BCL6 Ramos reporter This paper N/A
EF1α upstream MYC Ramos reporter This paper N/A
EF1α-old3xL1 upstream MYC Ramos reporter This paper N/A
EF1α upstream MKL1 Ramos reporter This paper N/A
EF1α-old3xL1 upstream MKL1 Ramos reporter This paper N/A
antisenseL1 Ramos reporter This paper N/A
old3xL1 Ramos reporter This paper N/A
1.5kbL1ORF2 Ramos reporter This paper N/A
Experimental models: Organisms/strains
WT mice (50:50 hybrid) This paper N/A
VH1-11 L1 KO mice (hybrid) This paper N/A
VH1-64 L1 KO mice (hybrid) This paper N/A
VH1-47 L1 KO mice (hybrid) This paper N/A
VH9-4 L1 KO mice (hybrid) This paper N/A
MPP8 Δexon2 KO mice Gu et al.73 N/A
MPP8f/f mice Gu et al.73 N/A
Recombinant DNA
pMaxGFP Lonza N/A
pMaxGOAT This paper N/A
pMaxGOAT_LHA-x-RHA This paper N/A
px333-T2A-EGFP Addgene #197417
px333-T2A-mTagBFP2 This paper N/A
pLenti-ACE2-IRES2-GFP, promoterless This paper N/A
pcDNA3.1(+)-P2A-eGFP GeneScript N/A
pCMV-GFP-Myc-3xFLAG This paper N/A
pCMV-AID-GFP-Myc-3xFLAG This paper N/A
pCMV-hMPP8-10xHis Addgene #194178
pCMV-hPPHLN1-2xHA-10xHis This paper N/A
NegControl-IRES-GFP_promoterless This paper N/A
Software and algorithms
Prism Graphpad RRID: SCR_002798
FlowJo FlowJo LLC RRID: SCR_008520
Illustrator Adobe RRID: SCR_010279
Fiji/ImageJ ImageJ RRID: SCR_002285
fastp Chen et al.118 https://github.com/OpenGene/fastp
Bowtie2 Langmead and Salzberg119 https://bowtie-bio.sourceforge.net/bowtie2/index.shtml
Deeptools Ramirez et al.120 https://github.com/deeptools/deepTools
Samtools Li et al.121 https://samtools.sourceforge.net/
TRUST4 Song et al.122 https://github.eom/liulab-dfci/TRUST4

Highlights.

  • Many immunoglobulin VH genes possess nearby upstream LINE-1 retrotransposon sequences

  • VH upstream LINE-1s promote B cell VH(D)JH somatic hypermutation in vitro and in vivo

  • VH antisense RNA encoding upstream L1s recruit HUSH complex / AID to recombined VH(D)JH

  • B cells co-opted a retrotransposon silencing mechanism to enhance antibody diversity

ACKNOWLEDGMENTS

We thank HICCC Confocal and Specialized Microscopy Shared Resource (P30CA013696); GMMM Shared Resource (C-S. L); CSCI Flow Cytometry Core; Columbia Genome Center; M. Scharff and G. Yu (Albert Einstein College of Medicine) for sharing wildtype Ramos reporter cells; A. Khan for assistance; and B. Lauring and H. Chen for their unconditional support. Research was supported by NIH MSTP grant (T32GM145440) and NIH Predoctoral Fellowship (F30AI179182) (to M.L.); NIAID grants R01 AI178892, R01 AI099195, R01AI134988, 2R01AI143897, and Columbia University VP&S RNA and Immunity Initiative (to U.B.). Figures and graphical abstract created with BioRender.com.

Footnotes

DECLARATION OF INTERESTS

The authors declare no competing interests.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

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Data Availability Statement

  • The sequencing data includes CUT&RUN-seq, RNA-seq, Nanopore sequencing, deposited under BioProject ID PRJNA1355250, by the date of publication.

  • All original code has been deposited at Zenodo (https://doi.org/10.5281/zenodo) and are publicly available as of the date of publication.

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