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PMID: 16816328 Published · ppublish English Journal Article Review

Large-scale gene expression studies of the endometrium: what have we learnt?

Reproduction (Cambridge, England) ·Vol. 132 ·No. 1 ·2006-07-00 ·Pages 1-10

Sherwin R, Catalano R, Sharkey A

Abstract

The endometrium is a dynamic tissue that undergoes coordinated changes under the influence of steroid hormones. This results in proliferation and differentiation culminating in a receptive state, followed by menstruation and endometrial repair. These functions involve complex interactions between the epithelium, stroma and leucocytes in the endometrium. Understanding the underlying causes of endometrial disorders, such as infertility, endometriosis and heavy menstrual bleeding, therefore represents a considerable challenge. Recently developed techniques, such as differential display and DNA microarrays permit the abundance of thousands of mRNA transcripts within cells or tissues to be measured simultaneously. This provides a new approach to understanding the complex interactions that underlie both healthy and disease states. Responses of the endometrium to hormones or drugs can be studied and the response of the system as an integrated whole can be assessed. Comparisons of endometrium from healthy women and those with endometrial dysfunction have advanced our understanding of key areas of endometrial physiology, including infertility, receptivity, endometriosis and cancer. Using this approach, novel genes controlling specific endometrial functions like receptivity have been identified for functional testing. This paper will review the impact of these techniques for transcript profiling on our understanding of selected areas of endometrial biology and discuss the potential applications in future.

MeSH Terms
Endometrial Neoplasms/metabolism Endometriosis/metabolism Endometrium/metabolism Female Gene Expression Gene Expression Profiling/methods Humans Infertility, Female/metabolism Menstruation/physiology Menstruation Disturbances/metabolism Oligonucleotide Array Sequence Analysis
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Sherwin Rob
Department of Obstetrics and Gynaecology, The Rosie Hospital, Robinson Way, Cambridge CB2 2SW, UK.
Catalano Rob
Sharkey Andrew
Article Info
Journal
Reproduction (Cambridge, England)
Abbr.
Reproduction
ISSN
1470-1626
Published
2006-07-00
Pages
1-10
Language
English
Region
England
NLM ID
100966036
Subset
IM
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