EV based miR-6772-5p secreted by breast cancer cells in response to radiation exposure is involved in development of radioresistance

This dataset serves as a supplementary material for the research article EV-based miR-6772-5p secreted by breast cancer cells in response to radiation exposure is involved in development of radioresistance by Tynjälä et al. For further details, please refer to our publication for a detailed description of the methods used to generate this dataset. In summary, we isolated and sequenced miRNAs from extracellular vesicles (EVs) isolated from irradiated and non-irradiated MCF7 cells. Sequencing libraries were prepared with QIAseq miRNA Library Kit (Qiagen, Germany) and sequenced with Illumina NextSeq 500 platform (Illumina). In-house bioinformatics workflow was used to process the sequencing data. Unique molecular identifier (UMI) sequences were first extracted and added to FASTQ header with UMI-tools while discarding the 3’ adapter and primer sequences. Reads shorter than 16 bp were discarded with cutadapt. Provided sequencing data is in FASTQ format and trimmed from adapter and UMI sequences. We have also provided miRNA counts and results of following differential gene expression analysis in tab-delimited format.本数据集为研究论文《乳腺癌细胞响应辐射分泌的细胞外囊泡（extracellular vesicles, EVs）携带的miR-6772-5p参与辐射抗性形成》（Tynjälä 等人）的补充材料。如需了解更多细节，请参阅我们的发表论文以获取该数据集生成方法的详细说明。 简言之，我们从经辐射处理与未辐照处理的MCF7细胞中分离得到细胞外囊泡，并对其中的microRNA（miRNA）进行测序。测序文库采用QIAseq miRNA文库试剂盒（Qiagen，德国）构建，并通过Illumina NextSeq 500测序平台（Illumina）完成测序。我们采用自研生物信息学流程处理测序数据：首先利用UMI-tools提取唯一分子标识符（unique molecular identifier, UMI）序列并添加至FASTQ文件的序列头部，同时去除3’端接头与引物序列；随后使用cutadapt过滤掉长度小于16 bp的读段。本数据集提供的测序数据为FASTQ格式，已完成接头与UMI序列的修剪。我们还提供了以制表符分隔格式存储的miRNA计数结果及后续差异基因表达分析结果。