Unknown

Dataset Information

0

Differentiation dynamics of mammary epithelial cells revealed by single-cell RNA sequencing.


ABSTRACT: Characterising the hierarchy of mammary epithelial cells (MECs) and how they are regulated during adult development is important for understanding how breast cancer arises. Here we report the use of single-cell RNA sequencing to determine the gene expression profile of MECs across four developmental stages; nulliparous, mid gestation, lactation and post involution. Our analysis of 23,184 cells identifies 15 clusters, few of which could be fully characterised by a single marker gene. We argue instead that the epithelial cells-especially in the luminal compartment-should rather be conceptualised as being part of a continuous spectrum of differentiation. Furthermore, our data support the existence of a common luminal progenitor cell giving rise to intermediate, restricted alveolar and hormone-sensing progenitors. This luminal progenitor compartment undergoes transcriptional changes in response to a full pregnancy, lactation and involution. In summary, our results provide a global, unbiased view of adult mammary gland development.

SUBMITTER: Bach K 

PROVIDER: S-EPMC5723634 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Differentiation dynamics of mammary epithelial cells revealed by single-cell RNA sequencing.

Bach Karsten K   Pensa Sara S   Grzelak Marta M   Hadfield James J   Adams David J DJ   Marioni John C JC   Khaled Walid T WT  

Nature communications 20171211 1


Characterising the hierarchy of mammary epithelial cells (MECs) and how they are regulated during adult development is important for understanding how breast cancer arises. Here we report the use of single-cell RNA sequencing to determine the gene expression profile of MECs across four developmental stages; nulliparous, mid gestation, lactation and post involution. Our analysis of 23,184 cells identifies 15 clusters, few of which could be fully characterised by a single marker gene. We argue ins  ...[more]

Similar Datasets

2017-12-13 | GSE106273 | GEO
| S-BSST603 | biostudies-other
| PRJNA416110 | ENA
| S-EPMC7898263 | biostudies-literature
| S-EPMC5966421 | biostudies-literature
| S-EPMC8227096 | biostudies-literature