Plasma Exosomes in Insulin Resistant Obesity Exacerbate Progression of Triple Negative Breast Cancer
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/sra/SRP546203
下载链接
链接失效反馈官方服务:
资源简介:
This dataset includes mRNA sequencing data obtained from cells treated with plasma-derived exosomes from mice fed high-fat (HFD) or low-fat (LFD) diets. RNA was extracted and sequenced to investigate differential gene expression and associated biological pathways. The aim of the study is to elucidate how metabolic dysregulation in obesity influences exosome-mediated gene expression changes, contributing to cancer aggressiveness. Data include raw and processed mRNA sequencing files from triplicates for each condition. Overall design: Cells were treated with plasma-derived exosomes from HFD- or LFD-fed mice. Total RNA was extracted using the RNeasy Plus Mini Kit (QIAGEN, Cat. No. 74136) following the manufacturer's instructions. Sequencing libraries were prepared and sequenced using the Illumina platform to produce paired-end reads. Data were processed using the nf-core RNA-seq pipeline, and differential expression was analyzed using DESeq2. Low-expressed genes (fewer than 3 reads per million in at least 3 samples) were filtered out, and data were normalized for library size differences. Differentially expressed genes (DEGs) were analyzed for pathway enrichment using Gene Ontology (GO) and further correlated with survival outcomes in breast cancer patients from The Cancer Genome Atlas (TCGA). Survival analysis was conducted using Cox proportional hazards models.
创建时间:
2025-07-17



