Proteomic landscape of SARS-CoV-2 and MERS-CoVinfected primary human renal epithelial cells

  • Acute kidney injury is associated with mortality in COVID-19 patients. However, host cell changes underlying infection of renal cells with SARS-CoV-2 remain unknown and prevent understanding of the molecular mechanisms that may contribute to renal pathology. Here, we carried out quantitative translatome and whole-cell proteomics analyses of primary renal proximal and distal tubular epithelial cells derived from human donors infected with SARS-CoV-2 or MERS-CoV to disseminate virus and cell type–specific changes over time. Our findings revealed shared pathways modified upon infection with both viruses, as well as SARS-CoV-2-specific host cell modulation driving key changes in innate immune activation and cellular protein quality control. Notably, MERS-CoV infection–induced specific changes in mitochondrial biology that were not observed in response to SARS-CoV-2 infection. Furthermore, we identified extensive modulation in pathways associated with kidney failure that changed in a virus- and cell type–specific manner. In summary, we provide an overview of the effects of SARS-CoV-2 or MERS-CoV infection on primary renal epithelial cells revealing key pathways that may be essential for viral replication.
Metadaten
Author:Aneesha KohliORCiD, Lucie SauerheringORCiDGND, Sarah Katharina FehlingGND, Kevin KlannORCiDGND, Helmut GeigerGND, Stephan BeckerGND, Benjamin Florian KochORCiDGND, Patrick C. BaerORCiDGND, Thomas StreckerORCiDGND, Christian MünchORCiD
URN:urn:nbn:de:hebis:30:3-838396
DOI:https://doi.org/10.26508/lsa.202201371
ISSN:2575-1077
Parent Title (English):Life Science Alliance
Publisher:EMBO Press
Place of publication:Heidelberg
Document Type:Article
Language:English
Date of Publication (online):2022/02/02
Date of first Publication:2022/02/02
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2024/04/23
Tag:Cell Biology; Microbiology, Virology & Host Pathogen Interaction; Systems & Computational Biology
Volume:5
Issue:5, art. e202201371
Article Number:e202201371
Page Number:19
First Page:1
Last Page:19
Note:
The LC-MS/MS proteomics data have been deposited in the ProteomeXchange Consortium via the PRIDE (102) partner repository with the dataset identifier: PXD024398.
Institutes:Medizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International