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Dataset Information

Peripheral blood transcriptomic clusters uncovered immune phenotypes of asthma.


ABSTRACT:

Background

Transcriptomic analysis has been used to elucidate the complex pathogenesis of heterogeneous disease and may also contribute to identify potential therapeutic targets by delineating the hub genes. This study aimed to investigate whether blood transcriptomic clustering can distinguish clinical and immune phenotypes of asthmatics, and microbiome in asthmatics.

Methods

Transcriptomic expression of peripheral blood mononuclear cells (PBMCs) from 47 asthmatics and 21 non-asthmatics was measured using RNA sequencing. A hierarchical clustering algorithm was used to classify asthmatics. Differentially expressed genes, clinical phenotypes, immune phenotypes, and microbiome of each transcriptomic cluster were assessed.

Results

In asthmatics, three distinct transcript

SUBMITTER: Lee HW 

PROVIDER: S-EPMC9461267 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature