Transcriptomics

Dataset Information

0

Single-cell dissection of Comma-1D cultures reveals cell populations with unique differentiation and transformation properties [bulk RNA-Seq]


ABSTRACT: The mammary epithelial tree is a heterogeneous structure that contains two main populations, luminal and basal, with distinct molecular and functional characteristics. The investigation of how this heterogeneity is developed and how it influences breast tumorigenesis has been hampered by the need to perform these studies using animal models due to the lack of relevant, tractable, and fully characterized in vitro models. Comma-1D is an immortalized mouse mammary epithelial cell line that has unique morphogenetic properties particularly its ability to generate cells of luminal and basal lineages. Here, we perform single-cell RNA-seq studies to dissect its heterogeneous nature. Our analysis reveals that Comma-1D cultures consist of two main populations with luminal and basal features and a smaller population with mixed lineage and bipotent characteristics. Additionally, we demonstrate that multiple transcription factors associated with the differentiation of the mammary epithelium in vivo also modulate this process in Comma-1D cultures. Finally, we have used the Comma-1D model to study how the cellular subtype of origin influences the response to cancer-promoting mutations. We found that only cells with luminal molecular features were able to acquire transformed characteristics after an oncogenic HER2 mutant was introduced in their genomes. Overall, the studies present here characterize at a single-cell level the heterogeneity of the Comma-1D cell line and illustrate how the unique properties of Comma-1D cells can be used as an experimental model to study both the differentiation and the transformation processes in vitro.

ORGANISM(S): Mus musculus

PROVIDER: GSE182351 | GEO | 2022/05/04

REPOSITORIES: GEO

Similar Datasets

2022-05-04 | GSE182352 | GEO
2021-12-31 | GSE182589 | GEO
2018-10-19 | GSE121499 | GEO
2020-05-07 | GSE149966 | GEO
2020-05-07 | GSE149967 | GEO
| PRJNA724778 | ENA
2016-06-06 | GSE77586 | GEO
2023-03-01 | GSE214815 | GEO
2016-12-20 | GSE77497 | GEO
2013-12-31 | E-GEOD-43825 | biostudies-arrayexpress