Single-cell multi-omics analysis of COVID-19 patients with pre-existing autoimmune diseases.
Scripts used in the multi-omics analysis of single-cell data (transcriptome, surface proteome, and T cell immune receptors) from peripheral blood samples of patients with pre-existing autoimmune conditions (rheumatoid arthritis, psoriasis, or multiple sclerosis) under SARS-CoV-2 infection, as well as COVID-19 patients without pre-existing autoimmunity as controls.
Citation: Barmada A, Handfield L, Godoy‐Tena G, Calle‐Fabregat C, Ciudad L, Arutyunyan A, Andrés‐León E, Hoo R, Porter T, Oszlanczi A, Richardson L, Calero‐Nieto F, Wilson N, Marchese D, Sancho‐Serra C, Carrillo J, Presas‐Rodríguez S, Ramo‐Tello C, Ruiz‐Sanmartin A, Ferrer R, Ruiz‐Rodriguez J, Martínez‐Gallo M, Munera‐Campos M, Carrascosa J, Göttgens B, Heyn H, Prigmore E, Casafont‐Solé I, Solanich X, Sánchez‐Cerrillo I, González‐Álvaro I, Raimondo M, Ramming A, Martin J, Martínez‐Cáceres E, Ballestar E, Vento‐Tormo R, Rodríguez‐Ubreva J. Single‐cell multi‐omics analysis of COVID‐19 patients with pre‐existing autoimmune diseases shows aberrant immune responses to infection. European Journal of Immunology 2023, e2350633. PMID: 37799110, DOI: 10.1002/eji.202350633.