Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity
Sai Zhang(Shandong Normal University), M Snyder(Stanford University), Derya Unutmaz(Jackson Laboratory), Calum Harvey(University of Sheffield), Simone Furini(University of Siena), Francesca Fava(University of Siena), Thomas Julian(European Bioinformatics Institute), Mark M. Davis(Stanford Medicine), J. Kenneth Baillie(NHS Lothian), Ilia Sarah Timpanaro(University Medical Center Utrecht), Johnathan Cooper‐Knock(University of Sheffield), Peng Gao(Hunan University), Xiaotao Shen(National University of Singapore), Elisa Frullanti(University of Siena), Philip S. Tsao(Stanford University), Alessandra Renieri(University of Siena), Kevin Kenna(University Medical Center Utrecht), Annika K. Weimer(Stanford Medicine), Minyi Shi(Stanford Medicine), Lina Kozhaya(Jackson Laboratory)
Cited by 37
Related Papers
Identification of a major co-receptor for primary isolates of HIV-1
|Nature|1996|3.7k
An atlas of active enhancers across human cell types and tissues
|Nature|2014|2.8k
Safety and immunogenicity of the ChAdOx1 nCoV-19 vaccine against SARS-CoV-2: a preliminary report of a phase 1/2, single-blind, randomised controlled trial
|The Lancet|2020|2.6k
Global Analysis of Protein Activities Using Proteome Chips
|Science|2001|1.9k
A minimal common outcome measure set for COVID-19 clinical research
|The Lancet Infectious Diseases|2020|1.8k