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

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

At the time of requesting access to the data deposited by this DAC, the project in which the researcher will use these data must, without exception, be funded and therefore must be approved by the corresponding Ethics Committee (CE), for studies involving human participants.

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

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
3 Files (86.7 kB)