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

Rob Sherwin, Sherwin R, Catalano R, Rob Catalano, Rob D. Catalano, Andrew Sharkey
Reproduction (Cambridge, England) · 2006 · vol. 132(1) , pp. 1–10 · doi:10.1530/rep.1.00355 · PMID:16816328 · W2100526030
Review OA: bronze CC0 ⤵ 10 in-corpus citations
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Large-scale gene expression studies using techniques like DNA microarrays have advanced understanding of endometrial physiology and identified novel genes related to functions such as receptivity.

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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.

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Condition tags

endometriosisinfertility

MeSH descriptors

Endometrium Gene Expression Profiling Oligonucleotide Array Sequence Analysis Oligonucleotide Array Sequence Analysis Endometrial Neoplasms Endometrial Neoplasms Endometrial Neoplasms Endometriosis Endometriosis Endometriosis Endometrium Endometrium Female Female Gene Expression Gene Expression Gene Expression Profiling Gene Expression Profiling Humans Humans

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Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. Outer rings show 2-hop neighbours — papers reached through the immediate citers/citees. [ collapse to 1-hop ]

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