Transcriptomics

Dataset Information

0

Single Cell Transcriptomics Reveals a Tumor Promoting Mammary Cell Niche in Brca1 Heterozygous Breast Cancer Mouse Model


ABSTRACT: Women carrying BRCA1 (B1) mutations face an elevated risk of developing breast cancer, yet effective preventive strategies remain limited. To design innovative strategies, it is critical to understand the early events driving tumorigenesis. Here we present a unique mouse model which is conditionally heterozygous for B1 and deleted for Trp53, specifically in the mammary epithelial cells, and forms triple-negative mammary tumors under replication stress. Our single-cell RNA sequencing analysis, spanning various stages of mammary tumorigenesis in this model, reveals early tumor-promoting transcriptomic alterations. We identify a distinct, proliferative bi-potent cell population expressing both luminal progenitor and basal epithelial markers, uniquely enriched in Brca1 heterozygous mammary tissue upon replication stress. Notably, the transcriptomic changes in this population correlate with poor outcomes in human breast cancer. Transcriptomic analysis, combined with transcription factor analysis, along the trajectory from normal to precancerous and tumor stages, implicates the AP-1 complex, specifically the FRA-1 transcription factor, as an early driver in BRCA1 mutant breast cancer. Furthermore, pseudo-time analysis along this trajectory identifies alveolar luminal progenitor cells as the likely cell-of-origin. Luminal cells also show reduced efficiency of DNA damage repair when compared to basal cells. In conclusion, we have established the first Brca1 heterozygous mouse model for studying the effects of DNA replication stress on breast cancer and have identified early precancerous transcriptomic changes stemming from BRCA1 haploinsufficiency and replication stress. This study provides critical insights into the molecular mechanisms that drive breast cancer in BRCA1 mutation carriers.

ORGANISM(S): Mus musculus

PROVIDER: GSE255547 | GEO | 2024/10/01

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2017-06-27 | GSE96672 | GEO
2021-09-07 | GSE120034 | GEO
2023-10-11 | GSE234017 | GEO
2023-08-08 | GSE214539 | GEO
2019-06-27 | GSE130453 | GEO
2019-06-27 | GSE114787 | GEO
2019-06-27 | GSE126761 | GEO
2022-11-04 | GSE206068 | GEO
2011-12-17 | E-GEOD-34479 | biostudies-arrayexpress
2014-09-16 | E-GEOD-61438 | biostudies-arrayexpress