Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724, US.
Graduate Program in Genetics, Stony Brook University, NY, 11794, US.
J Mammary Gland Biol Neoplasia. 2021 Mar;26(1):43-66. doi: 10.1007/s10911-021-09486-3. Epub 2021 May 14.
The developing mammary gland depends on several transcription-dependent networks to define cellular identities and differentiation trajectories. Recent technological advancements that allow for single-cell profiling of gene expression have provided an initial picture into the epithelial cellular heterogeneity across the diverse stages of gland maturation. Still, a deeper dive into expanded molecular signatures would improve our understanding of the diversity of mammary epithelial and non-epithelial cellular populations across different tissue developmental stages, mouse strains and mammalian species. Here, we combined differential mammary gland fractionation approaches and transcriptional profiles obtained from FACS-isolated mammary cells to improve our definitions of mammary-resident, cellular identities at the single-cell level. Our approach yielded a series of expression signatures that illustrate the heterogeneity of mammary epithelial cells, specifically those of the luminal fate, and uncovered transcriptional changes to their lineage-defined, cellular states that are induced during gland development. Our analysis also provided molecular signatures that identified non-epithelial mammary cells, including adipocytes, fibroblasts and rare immune cells. Lastly, we extended our study to elucidate expression signatures of human, breast-resident cells, a strategy that allowed for the cross-species comparison of mammary epithelial identities. Collectively, our approach improved the existing signatures of normal mammary epithelial cells, as well as elucidated the diversity of non-epithelial cells in murine and human breast tissue. Our study provides a useful resource for future studies that use single-cell molecular profiling strategies to understand normal and malignant breast development.
发育中的乳腺依赖于几个转录依赖性网络来定义细胞身份和分化轨迹。最近的技术进步允许对基因表达进行单细胞分析,这为了解不同乳腺成熟阶段上皮细胞的异质性提供了初步的认识。然而,更深入地研究扩展的分子特征将有助于我们了解不同组织发育阶段、不同小鼠品系和哺乳动物物种中乳腺上皮细胞和非上皮细胞群体的多样性。在这里,我们结合了差异乳腺分离方法和从 FACS 分离的乳腺细胞获得的转录谱,以提高我们在单细胞水平上对乳腺固有细胞身份的定义。我们的方法产生了一系列表达特征,说明了乳腺上皮细胞的异质性,特别是那些腔细胞命运的异质性,并揭示了它们在乳腺发育过程中诱导的谱系定义的细胞状态的转录变化。我们的分析还提供了鉴定非上皮乳腺细胞(包括脂肪细胞、成纤维细胞和罕见的免疫细胞)的分子特征。最后,我们扩展了我们的研究来阐明人类乳腺固有细胞的表达特征,这种策略允许对乳腺上皮细胞身份进行跨物种比较。总的来说,我们的方法改进了正常乳腺上皮细胞的现有特征,并阐明了小鼠和人类乳腺组织中非上皮细胞的多样性。我们的研究为未来使用单细胞分子分析策略来理解正常和恶性乳腺发育的研究提供了一个有用的资源。
J Mammary Gland Biol Neoplasia. 2021-3
J Mammary Gland Biol Neoplasia. 2021-3
Breast Cancer Res. 2011-8-11
Nat Cell Biol. 2018-5-21
Breast Cancer Res. 2021-6-29
Adv Exp Med Biol. 2025
Breast Cancer Res. 2024-12-18
J Mammary Gland Biol Neoplasia. 2024-1-30
J Mammary Gland Biol Neoplasia. 2020-12
Nat Commun. 2020-9-15
J Mammary Gland Biol Neoplasia. 2020-6