1. Global analysis of human SARS-CoV-2 infection and host-virus interaction
- Author
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Núria Queralt-Rosinach, Andreas Gruber, Alexander Kanitz, Scheila G. Mucha, Olaitan Igbagbo Awe, Meldal B, de Oliveira Ds, Tsagiopoulou M, Neiro J, Mariana Galvão Ferrarini, Georgaki M, Eric T. Dawson, Ben Busby, Itziar Martinez Gonzalez, Aguiar-Pulido, James C, Ruiz-Arenas C, Sarbjit Singh Bedi, Andrea Guarracino, Lukas Heumos, Amit Kumar Lal, Philippe Rocca-Serra, Noushin Nabavi, Rita Rebollo, Brett E. Pickett, Biologie Fonctionnelle, Insectes et Interactions (BF2I), Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
- Subjects
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology ,Host-virus interaction ,Biology ,Virology - Abstract
As part of the virtual BioHackathon 2020, we formed a working group that focused on the analysis of gene expression in the context of COVID-19. More specifically, we performed transcriptome analyses on published datasets in order to better understand the interaction between the human host and the SARS-CoV-2 virus.The ideas proposed during this hackathon were divided into five projects. Projects 1 and 2 aimed to identify human genes that are important in the process of viral infection of human cells. Projects 3 and 4 aimed to take the candidate genes identified in projects 1 and 2, as well as by independent studies, and relate them to clinical information and to possible therapeutic interventions. Finally, Project 5 aimed to package and containerize software and workflows used and generated here in a reusable manner, ultimately providing scalable and reproducible workflows.
- Published
- 2022