Abstract
Human noroviruses (HuNoVs) are a major cause of epidemic and sporadic cases of acute gastroenteritis worldwide. Recently, human intestinal enteroids (HIEs) have been shown to support the replication of HuNoVs, and be an excellent model to study HuNoV-host interactions. We implemented the HIE system in our laboratory and investigated the global molecular events associated with the mechanism of HuNoV-host interactions. Successful replication was observed for several norovirus GII genotypes, and totally 5,376 genes with different expression in HIEs were identified during infection. Bioinformatics analysis revealed that several important pathways, especially the “Signal transduction” and “Immune system” pathways, were involved in the HuNoV-host interaction. Quantitative PCR results validated that IFN-λ instead of IFN-β was elevated in HIEs after infection. Our study showed the holistic understanding of the transcriptome events in the HIE model infected by HuNoVs, and highlighted the important role of IFN-λ signaling in the HuNoV-host interactions.
Keywords: Human norovirus, human intestinal enteroid, RNA sequencing, interferon
Introduction
Human noroviruses (HuNoVs), a genus in Caliciviridae, are a major cause of epidemic and sporadic cases of acute gastroenteritis worldwide, which account for at least 95% of viral outbreaks and more than 50% of all outbreaks of gastroenteritis [1-3]. In the United States alone, HuNoVs are responsible for about 20 million cases of acute gastroenteritis annually, resulting in over 70,000 hospitalizations and nearly 800 deaths [4]. In developing countries, these infections lead an estimated 200,000 deaths annually in children under 5 years of age [5]. In addition to causing morbidity and mortality in patients, norovirus disease also causes significant economic burden as a result of health care costs and loss of productivity [6]. Up to now, effective vaccines and antiviral drugs are still lacking because of the limited knowledge of mechanisms of norovirus persistence and immune evasion in human [7].
HuNoVs cause a species-specific infection, and elucidation of the pathophysiology of HuNoV infections relies on the studies using healthy adult volunteers. Thus, the lack of a robust HuNoV cell culture system is one of the key challenges in assessing the efficacy of vaccines and antiviral drugs. Human intestinal enteroids (HIEs), or “mini-guts”, are generated from stem cells in the intestinal crypts isolated from human intestinal tissue, which recapitulate the cell diversity and complexity of the human gastrointestinal tract [8-10]. Recently, HIEs have shown to support the replication of HuNoVs, and be an excellent model to study HuNoV-host interactions [11,12]. In this study, we used HIEs to investigate the host cell response to norovirus infection by RNA sequencing.
Materials and methods
HIEs cultures
Wnt3a-producing cells (CRL-2647 cells) were purchased from ATCC company. R-spondin-producing cells (R-spondin1) were purchased from Trevigen company. Recombinant human Noggin were purchased from Peprotech company. Complete media with and without growth factors (CMGF+ and CMGF-, respectively), differentiation media, and Wnt3a- R-spondin- and Noggin-conditioned media were prepared as previously studies [11,12].
Three-dimensional (3D) cultures of HIEs were generated and cultured as detailed by previous studies [8,9]. Briefly, HIE cultures were derived from biopsies from surgical specimens. HIEs were grown and maintained as multilobular, 3D cultures in Matrigel (BD). For all infections, single cell suspensions were prepared from the 3D HIEs by trypsin digestion, and then seeded on a 96-well plate using CMGF+ media. After 24 hours of growth, the culture media was changed to differentiation medium to differentiate the cells for 5 days.
Stool filtrates
To prepare 10% stool suspensions, sterile PBS was added to HuNoV-positive stools, which were then homogenized by vortexing and sonicated three times for 1 min. The sonicated suspensions were centrifuged at 1,500 × g, 10 min, at 4°C. The supernatant was passed serially through 5 μm, 1.2 μm, 0.8 μm, 0.45 μm and 0.22 μm filters. The filtered samples were aliquoted and frozen at -80°C until used.
HuNoV infection of HIE monolayers
For inoculation, the HIE cell monolayers were washed once with CMGF- media and inoculated with HuNoV diluted in CMGF- media containing or not containing bile substitute glycyrene deoxycholic acid (GCDCA) (Sigma, Cat. G0759) for 1 hour at 37°C. The inoculum was removed and monolayers were washed twice with CMGF- media to remove unbound virus. Differentiation media was then added and the cultures were incubated at 37°C for the indicated time points.
RNA extraction and real-time PCR
We isolated total RNA from HIE monolayers using Trizol reagent (Invitrogen) according to the manufacturer’s protocol. For each sample, 1 ug of RNA was reverse transcribed using the reverse transcription kit (Takara). We performed real-time PCR amplification using SYBR Green Master Mix kit (Takara) in an Applied Biosystems Q6 platform. GAPDH was used as the internal control for mRNA quantification, and the fold change was calculated using the 2-ΔΔCt method. The primer sequences used in this study was provided in Table 1.
Table 1.
Primer sequences used in this study
| Genes | Primer sequence |
|---|---|
| IFN-β Forward | CGCCGCATTGACCATCTA |
| IFN-β Reverve | TTAGCCAGGAGGTTCTCAACAATAGTCTCA |
| IFN-λ Forward | GGACGCCTTGGAAGAGTCACT |
| IFN-λ Reverve | AGAAGCCTCAGGTCCCAATTC |
| ISG15 Forward | GGACCTGACGGTGAAGATGCT |
| ISG15 Reverve | ACGCCAATCTTCTGGGTGATCT |
| ISG56 Forward | TACAGCAACCATGAGTACAA |
| ISG56 Reverve | TCAGGTGTTTCACATAGGC |
| GAPDH Forward | GCCAAAAGGGTCATCATCTC |
| GAPDH Reverve | GGGGCCATCCACAGTCTTCT |
RNA sequencing in BGISEQ-500 platform
18 total RNA was extracted using Trizol (Invitrogen), and the quantity and quality of mRNA were assayed with an Agilent 2100 Bioanalyzer and NanoDrop. Approximately 1 μg total RNA was initially used for BGISEQ-500 library construction, and samples were then sequenced on the BGISEQ-500 platform [13]. Raw sequencing reads were filtered to get clean reads by using SOAPnuke, and HISAT pipeline was applied to align reads against reference genome. The identification of differentially expressed genes (DEGs) was based on the negative binomial distribution of DEseq2 package, and the cut-off of DEGs was Fold Change ≥ 2 and adjusted P value ≤ 0.05.
Bioinformatics analysis
Gene ontology (GO) enrichment analysis was performed using the GOseq R package, in which gene length bias was corrected [14]. For DEGs, GO terms with corrected P < 0.05 were considered significantly enriched. Additionally, the statistical enrichments of DEGs in the Kyoto encyclopedia of genes and genomes (KEGG) related pathways were implemented by the KEGG orthology based annotation system [15].
Statistical analysis
Each experiment was performed two or more times, with three technical replicates of each culture, condition and time point in each experiment. All results are reported as means ± SEM. Statistical evaluation between groups was performed by two-tailed Student’s t-test or one-way ANOVA and is presented in the Figures. P-values < 0.05 were considered statistically significant.
Results
Establishment of human intestinal enteroid model
Intestinal crypts were isolated from fresh adult jejunal tissue specimens, then seeded on Matrigel-coated plates in the presence of growth factors, including Wnt-3A, R-Spondin, Noggin, etc. Microscopic observation showed that the cells in HIE were similar to the cells in human intestinal tissue with polarized growth (Figure 1A). Transmission electron microscopic observation revealed that the villus faced the cavity surface, the complete tight connection was present between cells, the typical vesicle bodies of goblet cells accumulated above the nucleus, and hormone-rich vesicles in endocrine cells accumulated under the nucleus (Figure 1B). The result of immunofluorescence showed that the goblet cells were dispersed in the monolayer cells after differentiation (Figure 1C).
Figure 1.
Growth of 3-dimensional human intestinal enteroids (HIEs). A. The representative figures of undifferentiated HIEs under microscopy. B. A representative figure of undifferentiated HIEs under transmission electron microscopy. C. Monolayer cells of HIEs after differentiation stained with Mucin2-PE.
HuNoV replication in HIE
To evaluate whether the HIE support replication of the HuNoVs, monolayers of HIEs were inoculated with HuNoVs GII.4 from stool filtrates of children or adult patients. In the absence of GCDCA, at 72 hours post-infection (hpi), the genome equivalents of viral progeny of HuNoVs from adult patients increased 3.38 folds compared with the amount of genomic RNA detected at 1 hpi; while the virus genome of HuNoVs from children patients increased 11.88 folds at the same time point. By contrast, in the presence of GCDCA, at 72 hpi, the genome equivalents of viral progeny of HuNoVs from adult patients increased 6.10 folds compared with the amount of genomic RNA detected at 1 hpi; while the virus genome of HuNoVs from children patients increased 17.23 folds at the same time point (Figure 2A). In addition, we observed the expansion rate of different GII.4 variants in HIE monolayers from the same source. Three strains of HuNoVs GII.4, including GII.4 New Orleans, GII.4 Taoyuan, and GII.4 Iwate5, were used to infected the HIE monolayers. In the presence of GCDCA, at 72 hpi, the virus genome of these three HuNoV strains increased 1.55 folds, 12.60 folds, and 17.23 folds, respectively, compared with that detected at 1 hpi (Figure 2B).
Figure 2.
Evaluation of human norovirus (HuNoVs) replication in HIEs detected by qPCR. A. Replication of HuNoVs GII.4 from stool filtrates of children or adult patients in the monolayer cells of HIEs in the absent or presence of glycyrene deoxycholic acid (GCDCA). B. Replication of HuNoVs GII.4 New Orleans, GII.4 Taoyuan, and GII.4 Iwate5 in the monolayer cells of HIEs in the presence of GCDCA. *, P < 0.05; ***, P < 0.001; compared with the data in 1 hpi.
RNA-sequencing analysis of gene expression profile in HIE infected by HuNoV
We systematically investigated the mRNA transcriptome in HIE during the infection of HuNoV using RNA sequencing. To this end, monolayers of HIEs from two different donors (L and M) were inoculated with GII.4 HuNoVs. At 0, 1, and 72 hpi, cells were harvested to detect the gene expression profiles. Principal component analysis showed that the intraculture transcriptional profiles for a specific infection status clustered together, but the basal human epithelial transcriptome differs significantly between HIEs from different individuals (Figure 3A). In total, after normalization, 116 and 2,899 genes were found differentially expressed in the HIE from donor L at 1 and 72 hpi, respectively, compared with the uninfected control; while 4,327 and 5,376 genes were deregulated in the HIE from donor M at 1 and 72 hpi, respectively, compared with the uninfected control (Figure 3B).
Figure 3.
Transcriptional response to HuNoVs infection in HIEs assessed by RNA sequencing. A. Principal component analysis of the difference of samples. B. Venn diagrams depict the overlap among each individual’s deregulated genes at 1 and 72 hpi.
The aberrant genes were subjected to Gene Ontology (GO) analysis for functional classification (Figure 4). Differential genes associated with biological processes were mainly enriched in “cellular process”, “biological regulation”, “metabolic process”, “regulation of biological process”, “response to stimulus”, “multicellular organismal process”, “localization”, “signaling”, “developmental process”, “cellular component organization or biogenesis”, “multi-organism process”, “immune system process”, which implied that HuNoV infection significantly activated the cellular responses, intestinal cell-related metabolic processes, and biological regulation and immune response of HIE cells. Deregulated genes related to cellular component were mainly enriched in “cell”, “cell part”, “organelle”, “membrane”, “extracellular region”, “extracellular region part”, “macromolecular complex”, “membrane-enclosed lumen”, which suggested that multiple cellular components were involved in the infection and replication of HuNoV. Differential genes associated with molecular function were primarily enriched in “binding”, “catalytic activity”, “transporter activity”, “signal transducer activity”, “molecular function regulator”, “binding transcription factor activity”, and “structural molecule activity”, which indicated that HuNoV infection resulted in complicated interaction between pathogen and host cell.
Figure 4.
GO category analysis of differential genes in HIEs during HuNoV infection. A. HIEs from donor L. B. HIEs from donor M.
The differential genes also were subjected to pathway analysis for functional classification (Figure 5). Six significantly enriched pathway were found, including “cellular Processes”, “Environmental Information Processing”, “Genetic Information Processing”, “Human diseases”, “Metabolism”, and “Organismal systems”. These differential genes could be further allocated to 45 pathways, in which “Signal transduction” and “Immune system” were the most markedly enriched pathways.
Figure 5.
Pathway analysis of differential genes in HIEs during HuNoV infection. A. 0 h vs 1 h. B. 1 h vs 72 h. C. 0 h vs 72 h.
At last, we analyzed and classified differentially expressed genes with transcription factor activity. The results showed that differential transcription factors were mainly enriched in several families, such as zf-C2H2, zf-C2HC, Homeobox, HMG and ARID, suggesting that these transcription factor families played a crucial role in the regulation of gene expression after infection (Figure 6A). In addition, cluster analysis that the expression pattern of transcription factors in different samples were similar (Figure 6B).
Figure 6.
Analysis of differential transcription factors in HIEs during HuNoV infection. A. Classification map of the enriched transcription factor family. B. Gene expression heat map of transcription factors.
The expression of IFNs and IFN-stimulated genes in HIE infected by HuNoV
GO analysis showed that differentially expressed genes in HIE cells were enriched in type III interferon (IFN) signaling pathway after infection (P < 0.001, Figure 7). To verify the sequencing results, we examined the expression of IFN-β, IFN-λ, and IFN-stimulated genes (ISGs) using qPCR. Consistent with the results of RNA sequencing, the qPCR result revealed that the expression of IFN-β in HIE cells was not changed after infection, but the expression of IFN-λ, ISG-15, and ISG-45 was significantly elevated after infection.
Figure 7.

Expression of IFN-β, IFN-λ, ISG-15, and ISG-45 in HIEs during HuNoV infection detected by qPCR. *, P < 0.05; **, P < 0.01; ***, P < 0.001; compared with the data in control group.
Discussion
HuNoVs have resisted great efforts to establish in vitro culture models for over 40 years. Most efforts were unsuccessful, or the results could not be reproduced by other groups. A primary breakthrough in the field of in vitro expansion of intestinal epithelium is the successful long-term culture of intestinal epithelial organoids. Recently, several studies have shown that HIEs support the replication of HuNoVs and other enteric viruses, which enable analysis of the host response against these viruses. In this study, we successfully constructed the HIEs as ex vivo, 3D cultures in growth factor enriched media, which contained a stem cell niche and the diversity of intestinal epithelial cell type. GII.4 remains the dominant genotype of HuNoVs worldwide [16]. Our data showed that the HuNoV GII.4 from children patients replicated quickly than the HuNoVs from adult patients in HIEs, and bile substitute GCDCA significantly promoted the replication rate of HuNoVs in HIEs. In addition, the expansion rates of different GII.4 variants were varied in HIEs. These results demonstrated that the HIE model is robust for HuNoV replication. However, our study also revealed that the basal human epithelial transcriptome differs significantly between HIEs from different individuals, which is consistent with previous study [17]. This inherent variability captured in the HIE model could provide a unique opportunity to investigate the similarities and differences in susceptibility of HuNoVs infection among individuals with different gene background.
Elucidation of the mechanism of norovirus persistence and immune evasion in human cell is critical for the prevention and therapy of HuNoVs infection. RNA sequencing is a powerful tool to explore the mechanism of cell response to stimulus. In this study, we used HIEs to investigate the host cell response to norovirus infection by RNA sequencing. We found that the expression of thousands of genes in HIEs were changed after infection. Though bioinformatics analysis, several important pathways, especially the “Signal transduction” and “Immune system” pathways, were identified, which were involved in the interaction with the virus. These data reveal that host cell response to norovirus infection was a very complicated process, and mining the mechanism behind the transcriptome data will be beneficial for understanding the mechanism of norovirus persistence and immune evasion, which is the primary task in future study.
An early innate immune response mounted by epithelial cells is crucial in limiting viral replication [18]. IFNs are potent antiviral cytokines during innate immune. Three types of IFNs have been identified, including type I, type II, and type III IFN. Type II IFN (IFN-γ) is primarily produced by immune cells, while type I (IFN-α/β) and type III IFN (IFN-λ) are synthesized by immune and epithelial cells, which are believed to be involved in the host-pathogen interactions at epithelial cells [19,20]. In addition, the receptor of type I IFN is located on most cell types, whereas the receptor of type III IFN is mainly restricted to epithelial cells [21]. The lack of a type I IFN response was found in murine and human intestinal epithelial cells following rotavirus infection [17,22]. Instead, the innate type III IFN response was observed to be preserved in HIEs irrespective of rotavirus strain or replication competency [17]. Consistent with these studies, our study found that the expression of IFN-β in HIE cells was not changed after infection, but the expression of IFN-λ, ISG-15, and ISG-45 was significantly elevated after infection. Therefore, it is possible that human intestinal epithelial cells are programmed to respond to HuNoVs with type III instead of type I IFN.
Acknowledgements
This work was supported by grants from the Special National Project on Research and Development of Key Biosafety Technologies (2016YFC1201904).
Disclosure of conflict of interest
None.
References
- 1.Atmar RL, Ramani S, Estes MK. Human noroviruses: recent advances in a 50-year history. Curr Opin Infect Dis. 2018;31:422–432. doi: 10.1097/QCO.0000000000000476. [DOI] [PubMed] [Google Scholar]
- 2.Pringle K, Lopman B, Vega E, Vinje J, Parashar UD, Hall AJ. Noroviruses: epidemiology, immunity and prospects for prevention. Future Microbiol. 2015;10:53–67. doi: 10.2217/fmb.14.102. [DOI] [PubMed] [Google Scholar]
- 3.Ahmed SM, Hall AJ, Robinson AE, Verhoef L, Premkumar P, Parashar UD, Koopmans M, Lopman BA. Global prevalence of norovirus in cases of gastroenteritis: a systematic review and meta-analysis. Lancet Infect Dis. 2014;14:725–730. doi: 10.1016/S1473-3099(14)70767-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Hall AJ, Lopman BA, Payne DC, Patel MM, Gastañaduy PA, Vinjé J, Parashar UD. Norovirus disease in the United States. Emerg Infect Dis. 2013;19:1198–1205. doi: 10.3201/eid1908.130465. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Patel MM, Widdowson MA, Glass RI, Akazawa K, Vinjé J, Parashar UD. Systematic literature review of role of noroviruses in sporadic gastroenteritis. Emerg Infect Dis. 2008;14:1224–1231. doi: 10.3201/eid1408.071114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Bartsch SM, Lopman BA, Ozawa S, Hall AJ, Lee BY. Global economic burden of norovirus gastroenteritis. PLoS One. 2016;11:e0151219. doi: 10.1371/journal.pone.0151219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Bartnicki E, Cunha JB, Kolawole AO, Wobus CE. Recent advances in understanding noroviruses. F1000Res. 2017;6:79. doi: 10.12688/f1000research.10081.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Saxena K, Blutt SE, Ettayebi K, Zeng XL, Broughman JR, Crawford SE, Karandikar UC, Sastri NP, Conner ME, Opekun AR, Graham DY, Qureshi W, Sherman V, Foulke-Abel J, In J, Kovbasnjuk O, Zachos NC, Donowitz M, Estes MK. Human intestinal enteroids: a new model to study human rotavirus infection, host restriction, and pathophysiology. J Virol. 2015;90:43–56. doi: 10.1128/JVI.01930-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.VanDussen KL, Marinshaw JM, Shaikh N, Miyoshi H, Moon C, Tarr PI, Ciorba MA, Stappenbeck TS. Development of an enhanced human gastrointestinal epithelial culture system to facilitate patient-based assays. Gut. 2015;64:911–920. doi: 10.1136/gutjnl-2013-306651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Zachos NC, Kovbasnjuk O, Foulke-Abel J, In J, Blutt SE, de Jonge HR, Estes MK, Donowitz M. Human enteroids/colonoids and intestinal organoids functionally recapitulate normal intestinal physiology and pathophysiology. J Biol Chem. 2016;291:3759–3766. doi: 10.1074/jbc.R114.635995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Ettayebi K, Crawford SE, Murakami K, Broughman JR, Karandikar U, Tenge VR, Neill FH, Blutt SE, Zeng XL, Qu L, Kou B, Opekun AR, Burrin D, Graham DY, Ramani S, Atmar RL, Estes MK. Replication of human noroviruses in stem cell-derived human enteroids. Science. 2016;353:1387–1393. doi: 10.1126/science.aaf5211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Zou WY, Blutt SE, Crawford SE, Ettayebi K, Zeng XL, Saxena K, Ramani S, Karandikar UC, Zachos NC, Estes MK. Human intestinal enteroids: new models to study gastrointestinal virus infections. Methods Mol Biol. 2017 doi: 10.1007/7651_2017_1. [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zhu FY, Chen MX, Ye NH, Qiao WM, Gao B, Law WK, Tian Y, Zhang D, Zhang D, Liu TY, Hu QJ, Cao YY, Su ZZ, Zhang J, Liu YG. Comparative performance of the BGISEQ-500 and Illumina HiSeq4000 sequencing platforms for transcriptome analysis in plants. Plant Methods. 2018;14:69. doi: 10.1186/s13007-018-0337-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G. Gene ontology: tool for the unification of biology. The gene ontology consortium. Nat Genet. 2000;25:25–29. doi: 10.1038/75556. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kanehisa M, Goto S. KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000;28:27–30. doi: 10.1093/nar/28.1.27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ramani S, Atmar RL, Estes MK. Epidemiology of human noroviruses and updates on vaccine development. Curr Opin Gastroenterol. 2014;30:25–33. doi: 10.1097/MOG.0000000000000022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Saxena K, Simon LM, Zeng XL, Blutt SE, Crawford SE, Sastri NP, Karandikar UC, Ajami NJ, Zachos NC, Kovbasnjuk O, Donowitz M, Conner ME, Shaw CA, Estes MK. A paradox of transcriptional and functional innate interferon responses of human intestinal enteroids to enteric virus infection. Proc Natl Acad Sci U S A. 2017;114:E570–E579. doi: 10.1073/pnas.1615422114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Holloway G, Coulson BS. Innate cellular responses to rotavirus infection. J Gen Virol. 2013;94:1151–1160. doi: 10.1099/vir.0.051276-0. [DOI] [PubMed] [Google Scholar]
- 19.Ivashkiv LB, Donlin LT. Regulation of type I interferon responses. Nat Rev Immunol. 2014;14:36–49. doi: 10.1038/nri3581. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Schneider WM, Chevillotte MD, Rice CM. Interferon-stimulated genes: a complex web of host defenses. Annu Rev Immunol. 2014;32:513–545. doi: 10.1146/annurev-immunol-032713-120231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Sommereyns C, Paul S, Staeheli P, Michiels T. IFN-lambda (IFN-lambda) is expressed in a tissue-dependent fashion and primarily acts on epithelial cells in vivo. PLoS Pathog. 2008;4:e1000017. doi: 10.1371/journal.ppat.1000017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Sen A, Rothenberg ME, Mukherjee G, Feng N, Kalisky T, Nair N, Johnstone IM, Clarke MF, Greenberg HB. Innate immune response to homologous rotavirus infection in the small intestinal villous epithelium at single-cell resolution. Proc Natl Acad Sci U S A. 2012;109:20667–20672. doi: 10.1073/pnas.1212188109. [DOI] [PMC free article] [PubMed] [Google Scholar]






