RNA-seq dataset of the estrogen-dependent regulation of the transcriptome in mouse mammary gland organoids

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-08-14 DOI:10.1016/j.dib.2025.111984

Aurélie Lacouture , Mame Sokhna Sylla , Lucas Germain , Étienne Audet-Walsh

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Abstract

The mammary gland development in utero and during life is strongly regulated by hormones. To study the genes regulated specifically by the estrogen signalling pathway in the epithelial compartment, we treated mouse mammary epithelial organoids with estradiol, the most potent endogenous estrogen. At maturity, after 11 days of treatment, organoids were collected, and RNA was purified for next-generation sequencing. The bulk mRNA-seq data obtained were verified for raw quality, and reads were pseudo-aligned on the murine reference transcriptome (Gencode vM25). Differentially expressed genes were identified using DESeq2 to gain a better understanding of the impact of estrogens on the mammary epithelial cell transcriptome ex vivo. These data can be reanalyzed and combined with recent single-cell RNA-seq data to study the estrogen-dependent transcriptome at the cellular level and better understand the functional impact on the mammary gland in physiopathological conditions, such as during lactation, following endocrine-disrupting chemical exposure, or through the course of carcinogenesis.

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小鼠乳腺类器官中雌激素依赖性转录组调控的RNA-seq数据集

乳腺在子宫内和一生中的发育受激素的强烈调节。为了研究上皮腔室中雌激素信号通路特异性调控的基因，我们用雌二醇（最有效的内源性雌激素）处理小鼠乳腺上皮类器官。成熟时，处理11天后，收集类器官，纯化RNA用于下一代测序。对获得的大量mRNA-seq数据进行原始质量验证，并在小鼠参考转录组（Gencode vM25）上进行伪对齐。使用DESeq2鉴定差异表达基因，以更好地了解雌激素对体外乳腺上皮细胞转录组的影响。这些数据可以重新分析，并与最近的单细胞RNA-seq数据相结合，在细胞水平上研究雌激素依赖性转录组，更好地了解在生理病理条件下对乳腺的功能影响，例如在哺乳期，内分泌干扰化学物质暴露后，或在癌变过程中。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.