Plasma Exosomes in Insulin Resistant Obesity Exacerbate Progression of Triple Negative Breast Cancer

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. 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.

本数据集涵盖经高脂饮食（High-Fat Diet, HFD）或低脂饮食（Low-Fat Diet, LFD）喂养小鼠的血浆来源外泌体（plasma-derived exosomes）处理后的细胞的mRNA测序数据。本研究通过提取RNA并进行测序，旨在探究差异基因表达及相关生物学通路。本研究的核心目标是阐明肥胖状态下的代谢紊乱如何通过外泌体介导的基因表达改变，进而促进癌症侵袭性。

本数据集包含各实验组三次生物学重复的原始及预处理后的mRNA测序文件。实验中，细胞分别接受高脂饮食喂养小鼠或低脂饮食喂养小鼠的血浆来源外泌体处理。总RNA提取采用RNeasy Plus Mini试剂盒（QIAGEN，货号74136），操作严格遵循厂商提供的说明书。测序文库的构建及测序均使用Illumina平台完成，生成双端测序读段。

测序数据通过nf-core RNA-seq流程进行预处理，差异表达分析采用DESeq2工具完成。研究团队过滤掉低表达基因（至少3个样本中每百万读段计数少于3），并针对文库大小差异进行数据标准化。针对差异表达基因（differentially expressed genes, DEGs），采用基因本体（Gene Ontology, GO）数据库进行通路富集分析，并将其与来自癌症基因组图谱（The Cancer Genome Atlas, TCGA）的乳腺癌患者的生存结局进行关联分析。生存分析采用Cox比例风险模型开展。