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Sci Rep
. 2024 Mar 28;14(1):7375.
doi: 10.1038/s41598-024-56328-3. Diving into the proteomic atlas of SARS-CoV-2 infected cells
Victor C Carregari # 1 , Guilherme Reis-de-Oliveira # 2 , Fernanda Crunfli 2 , Bradley J Smith 2 , Gabriela Fabiano de Souza 3 , Stéfanie Primon Muraro 3 , Veronica M Saia-Cereda 2 , Pedro H Vendramini 2 , Paulo A Baldasso 2 4 , Lícia C Silva-Costa 2 , Giuliana S Zuccoli 2 , Caroline Brandão-Teles 2 , André Antunes 2 , Aline F Valença 2 , Gustavo G Davanzo 5 , João Victor Virgillio-da-Silva 6 7 , Thiago Dos Reis Araújo 8 , Raphael Campos Guimarães 7 8 , Felipe David Mendonça Chaim 9 , Elinton Adami Chaim 9 , Carolina Mie Kawagosi Onodera 10 , Raissa Guimarães Ludwig 4 , Tatiana Dandolini Saccon 4 , André R L Damásio 4 , Luiz Osório S Leiria 6 7 , Marco Aurélio R Vinolo 8 10 11 , Alessandro S Farias 12 13 14 , Pedro M Moraes-Vieira 5 8 14 , Marcelo A Mori 4 6 11 , José Luiz P Módena 3 , Daniel Martins-de-Souza 15 16 17 18
Affiliations
The COVID-19 pandemic was initiated by the rapid spread of a SARS-CoV-2 strain. Though mainly classified as a respiratory disease, SARS-CoV-2 infects multiple tissues throughout the human body, leading to a wide range of symptoms in patients. To better understand how SARS-CoV-2 affects the proteome from cells with different ontologies, this work generated an infectome atlas of 9 cell models, including cells from brain, blood, digestive system, and adipocyte tissue. Our data shows that SARS-CoV-2 infection mainly trigger dysregulations on proteins related to cellular structure and energy metabolism. Despite these pivotal processes, heterogeneity of infection was also observed, highlighting many proteins and pathways uniquely dysregulated in one cell type or ontological group. These data have been made searchable online via a tool that will permit future submissions of proteomic data ( https://reisdeoliveira.shinyapps.io/Infectome_App/ ) to enrich and expand this knowledgebase.
. 2024 Mar 28;14(1):7375.
doi: 10.1038/s41598-024-56328-3. Diving into the proteomic atlas of SARS-CoV-2 infected cells
Victor C Carregari # 1 , Guilherme Reis-de-Oliveira # 2 , Fernanda Crunfli 2 , Bradley J Smith 2 , Gabriela Fabiano de Souza 3 , Stéfanie Primon Muraro 3 , Veronica M Saia-Cereda 2 , Pedro H Vendramini 2 , Paulo A Baldasso 2 4 , Lícia C Silva-Costa 2 , Giuliana S Zuccoli 2 , Caroline Brandão-Teles 2 , André Antunes 2 , Aline F Valença 2 , Gustavo G Davanzo 5 , João Victor Virgillio-da-Silva 6 7 , Thiago Dos Reis Araújo 8 , Raphael Campos Guimarães 7 8 , Felipe David Mendonça Chaim 9 , Elinton Adami Chaim 9 , Carolina Mie Kawagosi Onodera 10 , Raissa Guimarães Ludwig 4 , Tatiana Dandolini Saccon 4 , André R L Damásio 4 , Luiz Osório S Leiria 6 7 , Marco Aurélio R Vinolo 8 10 11 , Alessandro S Farias 12 13 14 , Pedro M Moraes-Vieira 5 8 14 , Marcelo A Mori 4 6 11 , José Luiz P Módena 3 , Daniel Martins-de-Souza 15 16 17 18
Affiliations
- PMID: 38548777
- PMCID: PMC10978884
- DOI: 10.1038/s41598-024-56328-3
The COVID-19 pandemic was initiated by the rapid spread of a SARS-CoV-2 strain. Though mainly classified as a respiratory disease, SARS-CoV-2 infects multiple tissues throughout the human body, leading to a wide range of symptoms in patients. To better understand how SARS-CoV-2 affects the proteome from cells with different ontologies, this work generated an infectome atlas of 9 cell models, including cells from brain, blood, digestive system, and adipocyte tissue. Our data shows that SARS-CoV-2 infection mainly trigger dysregulations on proteins related to cellular structure and energy metabolism. Despite these pivotal processes, heterogeneity of infection was also observed, highlighting many proteins and pathways uniquely dysregulated in one cell type or ontological group. These data have been made searchable online via a tool that will permit future submissions of proteomic data ( https://reisdeoliveira.shinyapps.io/Infectome_App/ ) to enrich and expand this knowledgebase.