Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

Ferrarini & Lal et al. developed a novel bioinformatic pipeline to explore how SARS-CoV-2 interacts with human respiratory cells using public available host gene expression and viral genome sequence data. Several human genes and proteins were predicted to play a role in the viral life cycle and...

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Autores principales:	Mariana G. Ferrarini, Avantika Lal, Rita Rebollo, Andreas J. Gruber, Andrea Guarracino, Itziar Martinez Gonzalez, Taylor Floyd, Daniel Siqueira de Oliveira, Justin Shanklin, Ethan Beausoleil, Taneli Pusa, Brett E. Pickett, Vanessa Aguiar-Pulido
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/7db6be240b2d4d2b963adb464003e329
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spelling	oai:doaj.org-article:7db6be240b2d4d2b963adb464003e3292021-12-02T15:45:15ZGenome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis10.1038/s42003-021-02095-02399-3642https://doaj.org/article/7db6be240b2d4d2b963adb464003e3292021-05-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02095-0https://doaj.org/toc/2399-3642Ferrarini & Lal et al. developed a novel bioinformatic pipeline to explore how SARS-CoV-2 interacts with human respiratory cells using public available host gene expression and viral genome sequence data. Several human genes and proteins were predicted to play a role in the viral life cycle and the host response to SARS-CoV-2 infection.Mariana G. FerrariniAvantika LalRita RebolloAndreas J. GruberAndrea GuarracinoItziar Martinez GonzalezTaylor FloydDaniel Siqueira de OliveiraJustin ShanklinEthan BeausoleilTaneli PusaBrett E. PickettVanessa Aguiar-PulidoNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Mariana G. Ferrarini Avantika Lal Rita Rebollo Andreas J. Gruber Andrea Guarracino Itziar Martinez Gonzalez Taylor Floyd Daniel Siqueira de Oliveira Justin Shanklin Ethan Beausoleil Taneli Pusa Brett E. Pickett Vanessa Aguiar-Pulido Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis
description	Ferrarini & Lal et al. developed a novel bioinformatic pipeline to explore how SARS-CoV-2 interacts with human respiratory cells using public available host gene expression and viral genome sequence data. Several human genes and proteins were predicted to play a role in the viral life cycle and the host response to SARS-CoV-2 infection.
format	article
author	Mariana G. Ferrarini Avantika Lal Rita Rebollo Andreas J. Gruber Andrea Guarracino Itziar Martinez Gonzalez Taylor Floyd Daniel Siqueira de Oliveira Justin Shanklin Ethan Beausoleil Taneli Pusa Brett E. Pickett Vanessa Aguiar-Pulido
author_facet	Mariana G. Ferrarini Avantika Lal Rita Rebollo Andreas J. Gruber Andrea Guarracino Itziar Martinez Gonzalez Taylor Floyd Daniel Siqueira de Oliveira Justin Shanklin Ethan Beausoleil Taneli Pusa Brett E. Pickett Vanessa Aguiar-Pulido
author_sort	Mariana G. Ferrarini
title	Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis
title_short	Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis
title_full	Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis
title_fullStr	Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis
title_full_unstemmed	Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis
title_sort	genome-wide bioinformatic analyses predict key host and viral factors in sars-cov-2 pathogenesis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7db6be240b2d4d2b963adb464003e329
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Genome-wide bioinformatic analyses predict key host and viral factors in SARS-CoV-2 pathogenesis

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