Integration of T Cell Repertoire, CyTOF, genotyping and symptomatology data reveals subphenotypic variability in COVID-19 Patients

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.

23/09/2024
61 samples
DAC: EGAC00001003090
Technology: NextSeq 500

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DAA for the group formed in 'DAC for the study molecular biomarkers associated with the diagnosis and severity of genetic diseases

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Study ID	Study Title	Study Type
EGAS50000000587	Variables of diversity, clonality, V and J usage and main COVID-19-reactive GLIPH2 frequencies.	Transcriptome Analysis
EGAS50000000588	Variables of mass cytometry (CyTOF) innate immune cell counts	Gene Regulation Study
EGAS50000000589	Genotype variables of the 61 COVID-19 patient cohort used in the main project of data integration	Transcriptome Analysis

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID	File Type	Size
EGAF50000194195	txt	17.1 kB
EGAF50000194196	txt	6.4 kB
EGAF50000194197	txt	63.1 kB
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