Integration single-cell and bulk RNA-sequencing data to reveal senescence gene expression profiles in heart failure.

ABSTRACT:

Background

Heart failure (HF) represents one of healthcare's biggest challenges. Although rarely noticed, aging is a crucial risk factor for cardiovascular disease. Our study aims to reveal aging's role in HF by integrating single-cell RNA-sequencing (scRNA-seq) and bulk RNA-sequencing databases.

Methods

We collected HF heart sample data from the Gene Expression Omnibus database and senescence gene data from CellAge. The FindCluster () package was used for cell cluster analysis. Differentially expressed genes (DEG) were identified operating the FindMarkers function. Cell activity score calculation was performed using the AUCell package. UpSetR plotted the intersection between DEGs of active cell types, bulk data DEGs, and genes associated with aging. Using the DGIdb database

SUBMITTER: Kuai Z 

PROVIDER: S-EPMC10275773 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature