Email updates

Keep up to date with the latest news and content from BMC Genomics and BioMed Central.

Open Access Research article

Characterisation of microRNA expression in post-natal mouse mammary gland development

Stefanie Avril-Sassen17, Leonard D Goldstein25, John Stingl36, Cherie Blenkiron4, John Le Quesne1, Inmaculada Spiteri1, Konstantina Karagavriilidou1, Christine J Watson6, Simon Tavaré25, Eric A Miska4* and Carlos Caldas1*

Author Affiliations

1 Breast Cancer Functional Genomics Laboratory, Cancer Research UK Cambridge Research Institute and Department of Oncology, University of Cambridge, Li Ka Shing Centre, Cambridge, UK

2 Computational Biology Group, Cancer Research UK Cambridge Research Institute and Department of Oncology, University of Cambridge, Li Ka Shing Centre, Cambridge, UK

3 Mammary Stem Cell Biology Group, Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Cambridge, UK

4 Wellcome Trust/Cancer Research UK Gurdon Institute and Department of Biochemistry, University of Cambridge, Cambridge, UK

5 Computational Biology Group, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK

6 Department of Pathology, University of Cambridge, Cambridge, UK

7 Current address: Department of Pathology, Technische Universität München, Munich, Germany

For all author emails, please log on.

BMC Genomics 2009, 10:548  doi:10.1186/1471-2164-10-548

Published: 20 November 2009

Abstract

Background

The differential expression pattern of microRNAs (miRNAs) during mammary gland development might provide insights into their role in regulating the homeostasis of the mammary epithelium. Our aim was to analyse these regulatory functions by deriving a comprehensive tissue-specific combined miRNA and mRNA expression profile of post-natal mouse mammary gland development.

We measured the expression of 318 individual murine miRNAs by bead-based flow-cytometric profiling of whole mouse mammary glands throughout a 16-point developmental time course, including juvenile, puberty, mature virgin, gestation, lactation, and involution stages. In parallel whole-genome mRNA expression data were obtained.

Results

One third (n = 102) of all murine miRNAs analysed were detected during mammary gland development. MicroRNAs were represented in seven temporally co-expressed clusters, which were enriched for both miRNAs belonging to the same family and breast cancer-associated miRNAs. Global miRNA and mRNA expression was significantly reduced during lactation and the early stages of involution after weaning. For most detected miRNA families we did not observe systematic changes in the expression of predicted targets. For miRNA families whose targets did show changes, we observed inverse patterns of miRNA and target expression. The data sets are made publicly available and the combined expression profiles represent an important community resource for mammary gland biology research.

Conclusion

MicroRNAs were expressed in likely co-regulated clusters during mammary gland development. Breast cancer-associated miRNAs were significantly enriched in these clusters. The mechanism and functional consequences of this miRNA co-regulation provide new avenues for research into mammary gland biology and generate candidates for functional validation.