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Global Gene Expression Analysis to Identify Molecular Markers of Uterine Receptivity and Embryo Implantation* 210

Overview of attention for article published in Journal of Biological Chemistry, September 2001
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Title
Global Gene Expression Analysis to Identify Molecular Markers of Uterine Receptivity and Embryo Implantation* 210
Published in
Journal of Biological Chemistry, September 2001
DOI 10.1074/jbc.m107563200
Pubmed ID
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Abstract

Infertility and spontaneous pregnancy losses are an enduring problem to women's health. The establishment of pregnancy depends on successful implantation, where a complex series of interactions occurs between the heterogeneous cell types of the uterus and blastocyst. Although a number of genes are implicated in embryo-uterine interactions during implantation, genetic evidence suggests that only a small number of them are critical to this process. To obtain a global view and identify novel pathways of implantation, we used a dual screening strategy to analyze the expression of nearly 10,000 mouse genes by microarray analysis. Comparison of implantation and interimplantation sites by a conservative statistical approach revealed 36 up-regulated genes and 27 down-regulated genes at the implantation site. We also compared the uterine gene expression profile of progesterone-treated, delayed implanting mice to that of mice in which delayed implantation was terminated by estrogen. The results show up-regulation of 128 genes and down-regulation of 101 genes after termination of the delayed implantation. A combined analysis of these experiments showed specific up-regulation of 27 genes both at the implantation site and during uterine activation, representing a broad diversity of molecular functions. In contrast, the majority of genes that were decreased in the combined analysis were related to host immunity or the immune response, suggesting the importance of these genes in regulating the uterine environment for the implanting blastocyst. Collectively, we identified genes with recognized roles in implantation, genes with potential roles in this process, and genes whose functions have yet to be defined in this event. The identification of unique genetic markers for the onset of implantation signifies that genome-wide analysis coupled with functional assays is a promising approach to resolve the molecular pathways required for successful implantation.

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Mendeley demographics

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Sweden 1 2%
Australia 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 10 17%
Student > Bachelor 8 14%
Professor 7 12%
Student > Ph. D. Student 7 12%
Researcher 7 12%
Other 12 20%
Unknown 8 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 28 47%
Biochemistry, Genetics and Molecular Biology 8 14%
Medicine and Dentistry 4 7%
Veterinary Science and Veterinary Medicine 2 3%
Psychology 2 3%
Other 3 5%
Unknown 12 20%