Identification of COVID-19 severity biomarkers based on feature selection on single-cell RNA-Seq data of CD8⁺ T cells.

ABSTRACT: The global outbreak of the COVID-19 epidemic has become a major public health problem. COVID-19 virus infection triggers a complex immune response. CD8⁺ T cells, in particular, play an essential role in controlling the severity of the disease. However, the mechanism of the regulatory role of CD8⁺ T cells on COVID-19 remains poorly investigated. In this study, single-cell gene expression profiles from three CD8⁺ T cell subtypes (effector, memory, and naive T cells) were downloaded. Each cell subtype included three disease states, namely, acute COVID-19, convalescent COVID-19, and unexposed individuals. The profiles on each cell subtype were individually analyzed in the same way. Irrelevant features in the profiles were first excluded by the Boruta method. Th

SUBMITTER: Lu J 

PROVIDER: S-EPMC9682094 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature