Systemic Tissue and Cellular Disruption from SARS-CoV-2 Infection revealed in COVID- 19 Autopsies and Spatial Omics Tissue Maps

dc.contributor.author Park, Jiwoon
dc.contributor.author Foox, Jonathan
dc.contributor.author Hether, Tyler
dc.contributor.author Wurtele, Eve
dc.contributor.author Beheshti, Afshin
dc.contributor.author Saravia-Butler, Amanda
dc.contributor.author Singh, Urminder
dc.contributor.author Wurtele, Eve
dc.contributor.department Genetics, Development and Cell Biology
dc.contributor.department Bioinformatics and Computational Biology
dc.contributor.department Center for Metabolic Biology
dc.date 2021-03-16T13:44:40.000
dc.date.accessioned 2021-04-30T08:14:42Z
dc.date.available 2021-04-30T08:14:42Z
dc.date.issued 2021-03-09
dc.description.abstract <p>The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus has infected over 115 million people and caused over 2.5 million deaths worldwide. Yet, the molecular mechanisms underlying the clinical manifestations of COVID-19, as well as what distinguishes them from common seasonal influenza virus and other lung injury states such as Acute Respiratory Distress Syndrome (ARDS), remains poorly understood. To address these challenges, we combined transcriptional profiling of 646 clinical nasopharyngeal swabs and 39 patient autopsy tissues, matched with spatial protein and expression profiling (GeoMx) across 357 tissue sections. These results define both body-wide and tissue-specific (heart, liver, lung, kidney, and lymph nodes) damage wrought by the SARS-CoV-2 infection, evident as a function of varying viral load (high vs. low) during the course of infection and specific, transcriptional dysregulation in splicing isoforms, T cell receptor expression, and cellular expression states. In particular, cardiac and lung tissues revealed the largest degree of splicing isoform switching and cell expression state loss. Overall, these findings reveal a systemic disruption of cellular and transcriptional pathways from COVID-19 across all tissues, which can inform subsequent studies to combat the mortality of COVID-19, as well to better understand the molecular dynamics of lethal SARS-CoV-2 infection and other viruses.</p>
dc.description.comments <p>This preprint is made available through bioRxiv, doi:<a href="http://dx.doi.org/10.1101/2021.03.08.434433" target="_blank">10.1101/2021.03.08.434433</a>.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/gdcb_las_pubs/266/
dc.identifier.articleid 1270
dc.identifier.contextkey 22072042
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath gdcb_las_pubs/266
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/105052
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/gdcb_las_pubs/266/2021_Wurtele_SystemicTissuePreprint.pdf|||Fri Jan 14 23:03:37 UTC 2022
dc.source.uri 10.1101/2021.03.08.434433
dc.subject.disciplines Cell and Developmental Biology
dc.subject.disciplines Computational Biology
dc.subject.disciplines Genetics and Genomics
dc.subject.disciplines Molecular Genetics
dc.subject.disciplines Virus Diseases
dc.subject.keywords Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
dc.subject.keywords spatial transcriptomics
dc.subject.keywords coronavirus disease 2019 (COVID-19)
dc.subject.keywords next-generation sequencing (NGS)
dc.subject.keywords RNA-seq
dc.subject.keywords host response
dc.title Systemic Tissue and Cellular Disruption from SARS-CoV-2 Infection revealed in COVID- 19 Autopsies and Spatial Omics Tissue Maps
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication a7de6326-d86c-4395-b9e6-51187c7f1782
relation.isOrgUnitOfPublication 9e603b30-6443-4b8e-aff5-57de4a7e4cb2
relation.isOrgUnitOfPublication c331f825-0643-499a-9eeb-592c7b43b1f5
File
Original bundle
Now showing 1 - 1 of 1
Name:
2021_Wurtele_SystemicTissuePreprint.pdf
Size:
11.53 MB
Format:
Adobe Portable Document Format
Description:
Collections