Cargando…
Long-Read RNA Sequencing Identifies Polyadenylation Elongation and Differential Transcript Usage of Host Transcripts During SARS-CoV-2 In Vitro Infection
Better methods to interrogate host-pathogen interactions during Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections are imperative to help understand and prevent this disease. Here we implemented RNA-sequencing (RNA-seq) using Oxford Nanopore Technologies (ONT) long-reads to meas...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019466/ https://www.ncbi.nlm.nih.gov/pubmed/35464437 http://dx.doi.org/10.3389/fimmu.2022.832223 |
_version_ | 1784689288052473856 |
---|---|
author | Chang, Jessie J.-Y. Gleeson, Josie Rawlinson, Daniel De Paoli-Iseppi, Ricardo Zhou, Chenxi Mordant, Francesca L. Londrigan, Sarah L. Clark, Michael B. Subbarao, Kanta Stinear, Timothy P. Coin, Lachlan J. M. Pitt, Miranda E. |
author_facet | Chang, Jessie J.-Y. Gleeson, Josie Rawlinson, Daniel De Paoli-Iseppi, Ricardo Zhou, Chenxi Mordant, Francesca L. Londrigan, Sarah L. Clark, Michael B. Subbarao, Kanta Stinear, Timothy P. Coin, Lachlan J. M. Pitt, Miranda E. |
author_sort | Chang, Jessie J.-Y. |
collection | PubMed |
description | Better methods to interrogate host-pathogen interactions during Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections are imperative to help understand and prevent this disease. Here we implemented RNA-sequencing (RNA-seq) using Oxford Nanopore Technologies (ONT) long-reads to measure differential host gene expression, transcript polyadenylation and isoform usage within various epithelial cell lines permissive and non-permissive for SARS-CoV-2 infection. SARS-CoV-2-infected and mock-infected Vero (African green monkey kidney epithelial cells), Calu-3 (human lung adenocarcinoma epithelial cells), Caco-2 (human colorectal adenocarcinoma epithelial cells) and A549 (human lung carcinoma epithelial cells) were analyzed over time (0, 2, 24, 48 hours). Differential polyadenylation was found to occur in both infected Calu-3 and Vero cells during a late time point (48 hpi), with Gene Ontology (GO) terms such as viral transcription and translation shown to be significantly enriched in Calu-3 data. Poly(A) tails showed increased lengths in the majority of the differentially polyadenylated transcripts in Calu-3 and Vero cell lines (up to ~101 nt in mean poly(A) length, padj = 0.029). Of these genes, ribosomal protein genes such as RPS4X and RPS6 also showed downregulation in expression levels, suggesting the importance of ribosomal protein genes during infection. Furthermore, differential transcript usage was identified in Caco-2, Calu-3 and Vero cells, including transcripts of genes such as GSDMB and KPNA2, which have previously been implicated in SARS-CoV-2 infections. Overall, these results highlight the potential role of differential polyadenylation and transcript usage in host immune response or viral manipulation of host mechanisms during infection, and therefore, showcase the value of long-read sequencing in identifying less-explored host responses to disease. |
format | Online Article Text |
id | pubmed-9019466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90194662022-04-21 Long-Read RNA Sequencing Identifies Polyadenylation Elongation and Differential Transcript Usage of Host Transcripts During SARS-CoV-2 In Vitro Infection Chang, Jessie J.-Y. Gleeson, Josie Rawlinson, Daniel De Paoli-Iseppi, Ricardo Zhou, Chenxi Mordant, Francesca L. Londrigan, Sarah L. Clark, Michael B. Subbarao, Kanta Stinear, Timothy P. Coin, Lachlan J. M. Pitt, Miranda E. Front Immunol Immunology Better methods to interrogate host-pathogen interactions during Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infections are imperative to help understand and prevent this disease. Here we implemented RNA-sequencing (RNA-seq) using Oxford Nanopore Technologies (ONT) long-reads to measure differential host gene expression, transcript polyadenylation and isoform usage within various epithelial cell lines permissive and non-permissive for SARS-CoV-2 infection. SARS-CoV-2-infected and mock-infected Vero (African green monkey kidney epithelial cells), Calu-3 (human lung adenocarcinoma epithelial cells), Caco-2 (human colorectal adenocarcinoma epithelial cells) and A549 (human lung carcinoma epithelial cells) were analyzed over time (0, 2, 24, 48 hours). Differential polyadenylation was found to occur in both infected Calu-3 and Vero cells during a late time point (48 hpi), with Gene Ontology (GO) terms such as viral transcription and translation shown to be significantly enriched in Calu-3 data. Poly(A) tails showed increased lengths in the majority of the differentially polyadenylated transcripts in Calu-3 and Vero cell lines (up to ~101 nt in mean poly(A) length, padj = 0.029). Of these genes, ribosomal protein genes such as RPS4X and RPS6 also showed downregulation in expression levels, suggesting the importance of ribosomal protein genes during infection. Furthermore, differential transcript usage was identified in Caco-2, Calu-3 and Vero cells, including transcripts of genes such as GSDMB and KPNA2, which have previously been implicated in SARS-CoV-2 infections. Overall, these results highlight the potential role of differential polyadenylation and transcript usage in host immune response or viral manipulation of host mechanisms during infection, and therefore, showcase the value of long-read sequencing in identifying less-explored host responses to disease. Frontiers Media S.A. 2022-04-06 /pmc/articles/PMC9019466/ /pubmed/35464437 http://dx.doi.org/10.3389/fimmu.2022.832223 Text en Copyright © 2022 Chang, Gleeson, Rawlinson, De Paoli-Iseppi, Zhou, Mordant, Londrigan, Clark, Subbarao, Stinear, Coin and Pitt https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Chang, Jessie J.-Y. Gleeson, Josie Rawlinson, Daniel De Paoli-Iseppi, Ricardo Zhou, Chenxi Mordant, Francesca L. Londrigan, Sarah L. Clark, Michael B. Subbarao, Kanta Stinear, Timothy P. Coin, Lachlan J. M. Pitt, Miranda E. Long-Read RNA Sequencing Identifies Polyadenylation Elongation and Differential Transcript Usage of Host Transcripts During SARS-CoV-2 In Vitro Infection |
title | Long-Read RNA Sequencing Identifies Polyadenylation Elongation and Differential Transcript Usage of Host Transcripts During SARS-CoV-2 In Vitro Infection |
title_full | Long-Read RNA Sequencing Identifies Polyadenylation Elongation and Differential Transcript Usage of Host Transcripts During SARS-CoV-2 In Vitro Infection |
title_fullStr | Long-Read RNA Sequencing Identifies Polyadenylation Elongation and Differential Transcript Usage of Host Transcripts During SARS-CoV-2 In Vitro Infection |
title_full_unstemmed | Long-Read RNA Sequencing Identifies Polyadenylation Elongation and Differential Transcript Usage of Host Transcripts During SARS-CoV-2 In Vitro Infection |
title_short | Long-Read RNA Sequencing Identifies Polyadenylation Elongation and Differential Transcript Usage of Host Transcripts During SARS-CoV-2 In Vitro Infection |
title_sort | long-read rna sequencing identifies polyadenylation elongation and differential transcript usage of host transcripts during sars-cov-2 in vitro infection |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9019466/ https://www.ncbi.nlm.nih.gov/pubmed/35464437 http://dx.doi.org/10.3389/fimmu.2022.832223 |
work_keys_str_mv | AT changjessiejy longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection AT gleesonjosie longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection AT rawlinsondaniel longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection AT depaoliiseppiricardo longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection AT zhouchenxi longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection AT mordantfrancescal longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection AT londrigansarahl longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection AT clarkmichaelb longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection AT subbaraokanta longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection AT stineartimothyp longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection AT coinlachlanjm longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection AT pittmirandae longreadrnasequencingidentifiespolyadenylationelongationanddifferentialtranscriptusageofhosttranscriptsduringsarscov2invitroinfection |