Landscape of infiltrated immune cell characterization in COVID-19.

ABSTRACT:

Purpose

Although the role of SARS-CoV-2-specfic immune cells has been revealed, a comprehensive understanding of immune patterns remains unknown.

Methods

In this work, unsupervised consensus clustering analysis was used to classify 240 coronavirus disease 2019 (COVID-19) patients into different immune subtypes. Next, we performed differentially expressed analysis between different immune subtypes. Functional enrichment and pathway analyses were employed to reveal the biological significance of these differentially expressed genes (DEGs). Besides, we compared feature score of some DEGs between whole blood and lung tissues. Then, we utilized the "GSVA" algorithm to construct an immune cell infiltrating (ICI) tool based on the categories of these DEGs. Finally, we developed a n

SUBMITTER: Zheng W 

PROVIDER: S-EPMC10965775 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature