Identification of driver genes for critical forms of COVID-19 in a deeply phenotyped young patient cohort
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Carapito R, Li R, Helms J, Carapito C, Gujja S, Rolli V, Guimaraes R, Malagon-Lopez J, Spinnhirny P, Lederle A, Mohseninia R, Hirschler A, Muller L, Bastard P, Gervais A, Zhang Q, Danion F, Ruch Y, Schenck M, Collange O, Chamaraux-Tran TN, Molitor A, Pichot A, Bernard A, Tahar O, Bibi-Triki S, Wu H, Paul N, Mayeur S, Larnicol A, Laumond G, Frappier J, Schmidt S, Hanauer A, Macquin C, Stemmelen T, Simons M, Mariette X, Hermine O, Fafi-Kremer S, Goichot B, Drenou B, Kuteifan K, Pottecher J, Mertes PM, Kailasan S, Aman MJ, Pin E, Nilsson P, Thomas A, Viari A, Sanlaville D, Schneider F, Sibilia J, Tharaux PL, Casanova JL, Hansmann Y, Lidar D, Radosavljevic M, Gulcher JR, Meziani F, Moog C, Chittenden TW, Bahram S
Sci. Transl. Med. - (-) eabj7521 [2021-10-26; online 2021-10-26]
[Figure: see text].
Category: Genomics & transcriptomics
PubMed 34698500
DOI 10.1126/scitranslmed.abj7521
Crossref 10.1126/scitranslmed.abj7521
GEO: GSE172114 RNA-seq datasets
Proteomics data are available in the ProteomeXchange Consortium database (identifier PXD025265)
Codes used for analysis