Breast Cancer Research and Treatment

, Volume 132, Issue 3, pp 969–977

Comparative gene expression analysis in mouse models for identifying critical pathways in mammary gland development

Authors

  • Hongbo Zhao
    • Institute of Molecular and Clinical MedicineKunming Medical College
  • Mini Huang
    • School of Agriculture and BiologyShanghai Jiao Tong University
  • Qiang Chen
    • School of Agriculture and BiologyShanghai Jiao Tong University
    • Shanghai Key Lab for Animal Bio-technology
  • Qishan Wang
    • School of Agriculture and BiologyShanghai Jiao Tong University
    • Shanghai Key Lab for Animal Bio-technology
    • School of Agriculture and BiologyShanghai Jiao Tong University
    • Shanghai Key Lab for Animal Bio-technology
Preclinical Study

DOI: 10.1007/s10549-011-1650-8

Cite this article as:
Zhao, H., Huang, M., Chen, Q. et al. Breast Cancer Res Treat (2012) 132: 969. doi:10.1007/s10549-011-1650-8
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Abstract

Functional development of the mammary gland is an important physiological process. Several studies have used gene expression profiling of mammary gland development to identify the key genes in the process, but few focused on the involved pathways. And there is a lack of concordance between those observed pathways. In this article, we applied a standardized microarray preprocessing to four independent studies, and then used gene set enrichment analysis (GSEA) to identify the key pathways. The result demonstrated an increased concordance between these expression profiling data sets. From the stage of puberty to pregnancy, we found 7 up-regulated and 6 down-regulated pathways in common. From the period of pregnancy to lactation, we found 7 up-regulated and 58 down-regulated pathways in common. And 10 up-regulated and 3 down-regulated pathways were found in common from lactation to the involution period. The main canonical pathways identified belong to immune system, cell communication, metabolism, and disease-related pathways. Pathway analysis is a more effective method than single gene analysis because the former one can able to detect genes weakly connected to the phenotype. As we applied GSEA to the study, our findings suggested a greater concordance in this physiological process. The critical pathways we find can provide some insight of functional development of the mammary gland and motivate other relative studies.

Keywords

Mammary glandMicroarrayGene set enrichment analysisPathways

Supplementary material

10549_2011_1650_MOESM1_ESM.xls (18 kb)
Supplementary material 1 (XLS 18 kb)
10549_2011_1650_MOESM2_ESM.xls (34 kb)
Supplementary material 2 (XLS 34 kb)
10549_2011_1650_MOESM3_ESM.xls (18 kb)
Supplementary material 3 (XLS 18 kb)

Copyright information

© Springer Science+Business Media, LLC. 2011