Figure 2. APEX-RIP mapping of the nuclear-cytoplasmic RNA distribution.
(A) Fluorescence imaging of nuclear and cytosol-targeted APEX2 fusion constructs. HEK 293T cells expressing the indicated constructs (‘NLS,’ nuclear localization signal; ‘NES,’ nuclear export signal) were labeled with biotin-phenol, crosslinked and stained as indicated. Scale bars, 10 µm. DAPI is nuclear stain. (B) APEX-RIP recovers known nuclear and cytosolic standard RNAs, defined here as long noncoding RNAs (nuclear markers, blue) and RNAs proximal to the Endoplasmic Reticulum (cytoplasmic markers,red—defined by (Jan et al., 2014), with measured p-values≤0.05—see Materials and methods). Top: APEX2–NLS-RIP enriches nuclear standards. Middle: APEX2–NES-RIP enriches cytoplasmic standards. Bottom: Combined analysis of the APEX2–NLS and APEX2–NES RIP experiments distinguish the two classes. Fold changes are defined as (FPKMpost-enrichment/FPKMpre-enrichment); combined fold change as [FPKMNLS–post-enrichment /FPKMNES–post-enrichment]. Dotted line indicates the significance threshold for nuclear localization. (C) Global analysis of nuclear and cytoplasmic RNA localization by combined APEX2-NLS and APEX2-NES RIP. Vertical dashed lines indicate the cutoffs for nuclear and cytosolic RNAs. Horizontal dash line indicates p-value=0.05. Top histogram illustrates the distribution of RNAs with p-value=5×10−5, which are boxed in gray in the scatter plot. The average of data from three biological replicates are shown. See Supplementary file 2A-B. (D) APEX-RIP reveals classes of RNAs with canonical and noncanonical nuclear-cytoplasmic distributions. Left: the same data as in (C), separately parsed into mRNAs (top) and lncRNAs (bottom). Right: read density plots of example RNAs from each class that exhibit stereotypical and atypical localization. EEF1A1 and C1orf63 are mRNAs; XIST and SNHG5 are lncRNAs. For each gene, a common y-scale is used for all read tracks. SnoRNAs encoded in the SNHG5 gene body are indicated as gray rectangles. (E) Venn diagrams comparing APEX-RIP and fractionation-based RNA datasets (Sultan et al., 2014). (F) Nuclear APEX-RIP is more sensitive than is biochemical fractionation. Left: Specificity of the APEX-RIP and nuclear RNA datasets (Sultan et al., 2014). Off-target RNAs were defined as actively translated ER-proximal mRNAs (Jan et al., 2014). Right: Recall of nuclear standard RNAs, defined as a set of 827 lncRNAs annotated by GENCODE hg19 with average pre-enrichment FPKM ≥ 1.0. See also: Figure 2—figure supplements 1–2.



