Our ‘Dataset of the Week’ series features publicly available omics datasets of scientific value, intending to promote data sharing and reuse.
This week’s dataset is RNA-sequencing data from the publication titled ‘Systems biological assessment of immunity to mild versus severe COVID-19 infection in humans', published in Science (Sep 2020).
SARS-CoV-2 induces a plethora of symptoms in infected individuals. Immune response, combined with a host of other factors such as pre-existing comorbidities and age, significantly affects clinical phenotypes and patient outcomes. This paper uses multiple computational biology techniques to delve deeper into the immunological underpinnings of SARS-CoV-2 infections.
This dataset contains gene expression data from the immune cells of COVID-19 patients and healthy controls and could serve as a valuable resource in understanding the key molecular players and immune mechanisms involved in modulating the host immune response.
PBMCs were isolated from the plasma samples of COVID-19 patients and healthy subjects (17 samples per group) and bulk RNA-sequencing analysis was performed.
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