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Analysis of Stage-Specific Gene Expression Profiles in the Uterine Endometrium during Pregnancy in Pigs

Overview of attention for article published in PLOS ONE, November 2015
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Title
Analysis of Stage-Specific Gene Expression Profiles in the Uterine Endometrium during Pregnancy in Pigs
Published in
PLOS ONE, November 2015
DOI 10.1371/journal.pone.0143436
Pubmed ID
Authors

Mingoo Kim, Heewon Seo, Yohan Choi, Inkyu Yoo, Minseok Seo, Chang-Kyu Lee, Heebal Kim, Hakhyun Ka

Abstract

The uterine endometrium plays a critical role in regulating the estrous cycle and the establishment and maintenance of pregnancy in mammalian species. Many studies have investigated the expression and function of genes in the uterine endometrium, but the global expression pattern of genes and relationships among genes differentially expressed in the uterine endometrium during gestation in pigs remain unclear. Thus, this study investigated global gene expression profiles using microarray in pigs. Diverse transcriptome analyses including clustering, network, and differentially expressed gene (DEG) analyses were performed to detect endometrial gene expression changes during the different gestation stages. In total, 6,991 genes were found to be differentially expressed by comparing genes expressed on day (D) 12 of pregnancy with those on D15, D30, D60, D90 and D114 of pregnancy, and clustering analysis of detected DEGs distinguished 8 clusters. Furthermore, several pregnancy-related hub genes such as ALPPL2, RANBP17, NF1B, SPP1, and CST6 were discovered through network analysis. Finally, detected hub genes were technically validated by quantitative RT-PCR. These results suggest the complex network characteristics involved in uterine endometrial gene expression during pregnancy and indicate that diverse patterns of stage-specific gene expression and network connections may play a critical role in endometrial remodeling and in placental and fetal development to establish and maintenance of pregnancy in pigs.

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Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 33%
Student > Ph. D. Student 4 27%
Other 1 7%
Librarian 1 7%
Researcher 1 7%
Other 0 0%
Unknown 3 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 53%
Biochemistry, Genetics and Molecular Biology 3 20%
Environmental Science 1 7%
Unknown 3 20%