Variables of diversity, clonality, V and J usage and main COVID-19-reactive GLIPH2 frequencies.

Main results of the T cell repertorie analysis of a cohort of 61 patients. For each patient, repertorie diversity and clonality metrics, V an J alelle frequency and COVID-19-reactive sequencies have been calculated using open.source code. For more information about the study, please visit DOI: 10.1186/s40246-024-00654-0

Type: Transcriptome Analysis
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 2 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000000840	A total of 61 patients (33 mild and 28 severe) with a median age of 51 years who recovered from COVID-19 were included in this study (Table 1). All collected samples were confirmed in diagnosis of COVID-19 by RT-PCR and positive IgG serolog. For the 61 patients, TCR-seq, CyTOF, and genotyping data were generated and analyzed in separate studies, as part of larger cohorts. In total, there are 143 variables, with 129 being quantitative (TCRseq and CyTOF metrics) and 13 being qualitative (symptomatology and genotyping). For more information about cohort characteristics, data adquisition an pre-processing, please visit PMID: 39227859, 36969980 and 37287057.	NextSeq 500	61

Publications	Citations
The T-cell repertoire of Spanish patients with COVID-19 as a strategy to link T-cell characteristics to the severity of the disease. Marín-Benesiu F, Chica-Redecillas L, Arenas-Rodríguez V, de Santiago E, Martínez-Diz S, López-Torres G, Cortés-Valverde AI, Romero-Cachinero C, Entrala-Bernal C, Fernandez-Rosado FJ, Martínez-González LJ, Alvarez-Cubero MJ. Hum Genomics 18: 2024 94	3
Integration of T cell repertoire, CyTOF, genotyping and symptomatology data reveals subphenotypic variability in COVID-19 patients. Marín-Benesiu F, Chica-Redecillas L, Cuenca-López S, Entrala-Bernal C, Martín-Esteban S, Alvarez-Cubero MJ, Martínez-González LJ. Comput Struct Biotechnol J 27: 2025 2063-2073	0