Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Effect of the Conceptus on Global Gene Expression in the Mouse Uterus During Decidualization

ABSTRACT: Analysis of differences in gene expression in the mouse uterus during decidualization in the presence and absence of a conceptus. A deciduomal model previously shown to better mimick natural decidualization was used. The results reveal some, but very few, genes that are differentially expressed, which is unlike previous reports using other deciduomal models shown previously to not mimick natural decidualization. Total RNA obtained from isolated uterine segment tissue undergoing decidualization from pregnant or pseudopregnant mice. Three replicates per condition.

ORGANISM(S): Mus musculus

SUBMITTER: BRENT BANY

PROVIDER: E-GEOD-25903 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Microarray assessment of the influence of the conceptus on gene expression in the mouse uterus during decidualization.

McConaha M E ME Eckstrum K K An J J Steinle J J JJ Bany B M BM

Reproduction (Cambridge, England) 20110207 4

During pregnancy in several species including humans and rodents, the endometrium undergoes decidualization. This process of differentiation from endometrial to decidual tissue occurs only after the onset of implantation in mice. It can also be artificially induced causing the formation of deciduomal tissue. The purpose of this study was to compare the gene expression profile of the developing decidua in pregnant mice with the deciduoma formed after artificial induction in an effort to identify ...[more]

PMID: 21300692

Similar Datasets

Project description:Uterine receptivity implies a dialogue between the hormonally primed maternal endometrium and the free-floating blastocyst. Endometrial stromal cells proliferate, avert apoptosis, and undergo decidualization in preparation for implantation; however, the molecular mechanisms that underlie differentiation into the decidual phenotype remain largely undefined. The Notch family of transmembrane receptors transduce extracellular signals responsible for cell survival, cell-to-cell communication, and trans-differentiation, all fundamental processes for decidualization and pregnancy. Using a murine artificial decidualization model, pharmacological inhibition of Notch signaling by gamma-secretase inhibition resulted in significantly decreased deciduoma. Furthermore, a progesterone receptor (PR)-Cre Notch1 bigenic (Notch1d/d) confirmed a Notch1-dependant hypomorphic decidual phenotype. Microarray and pathway analysis, following Notch1 ablation, demonstrated significantly altered signaling repertoire. Concomitantly, hierarchical clustering demonstrated Notch1-dependent differences in gene expression. Uteri deprived of Notch1 signaling demonstrated decreased cellular proliferation; namely, reduced proliferation-specific antigen, Ki67, altered p21, cdk6, and cyclinD activity, and increased apoptotic-profile, augmented cleaved caspase-3, Bad, and attenuated Bcl2. Demonstrated here, the pre-implantation uterus relies on Notch signaling to inhibit apoptosis of stromal fibroblasts and regulate cell cycle progression, which together promotes successful decidualization. In summary, Notch1 signaling modulates multiple signaling mechanisms crucial for decidualization and we provide greater perspective to the coordination of multiple signaling modalities required during decidualization RNA samples from 3-5 separate mice were extracted. All mRNA quantities were normalized against 18S gene expression. Gene expression levels were measured by real-time RT-PCR SYBR Green analysis using the ABI Prism 7700 Sequence Detector System according to manufacturer’s instructions (Applied Biosystems).

Dataset Information

Effect of the Conceptus on Global Gene Expression in the Mouse Uterus During Decidualization

Publications

Microarray assessment of the influence of the conceptus on gene expression in the mouse uterus during decidualization.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets