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Molecular Biology Reports

, Volume 40, Issue 1, pp 651–663 | Cite as

Novel differential transcript expression identified by LongSAGE in the mouse endometrium during the implantation window

  • Yu-Bin Ding
  • Jun-Lin He
  • Xue-Mei Chen
  • Xue-Qing Liu
  • Ying-Xiong Wang
Article

Abstract

Full development of a receptive uterus is necessary for embryo implantation; however, many genes that are required for the endometrial modifications that occur during this process remain unidentified. To identify novel genes that control endometrial modifications during this period, we investigated the differential gene expression profile in the endometrium of mice on days 2 (D2) (pre-implantation) and 4 (D4) of pregnancy (i.e., the implantation window) using 17-bp long serial analysis of gene expression (LongSAGE). One hundred fifty-six tags were annotated as unique transcripts. Of these, 101 tags were significantly upregulated, and 55 tags were downregulated in the D4 library relative to the D2 library. These differentially expressed genes should therefore be of increased importance in the establishment of uterine receptivity. The differential expressions of certain of the identified genes, namely, Hspa8, Tctp, Sparc, Ifitm1, Ik, serbp1 and Dnmt1, were validated by semi-quantitative RT-PCR and/or immunohistochemistry. Functional grouping analysis classified 86 of the mapped tags into 17 categories, which are closely associated with morphological modifications of the endometrium during pregnancy. Ingenuity pathways analysis revealed that the identified differentially expressed genes fell into six primary networks, which themselves contain numerous factors that are related to key modulators of signaling pathways that are vital for endometrial modifications. These findings will aid in the further understanding of the molecular events that underlie the implantation physiology in mice.

Keywords

Implantation Endometrium Implantation window SAGE 

Notes

Acknowledgments

This research was supported by the National Natural Science Fund of China (Nos. 30700898, 30770816, 30973195), the Natural Science Foundation Project of CQ CSTC (nos. 2007BB5286, cstc2009BA5082, 2011jjA10085) and the Excellent Doctoral Dissertation of Chongqing Medical University Grant. The authors are grateful to Qing Zeng for the statistical analyses.

Conflict of interest

The authors declare that there are no conflicts of interest.

Supplementary material

11033_2012_2104_MOESM1_ESM.doc (4.1 mb)
Supplementary Fig. 1 Network analysis based on the Ingenuity Pathway Knowledge Base (IPKB). The solid lines indicate direct interactions, and dashed lines indicate indirect interactions. (a) The functions that are influenced by network 3 include energy production and cell cycle regulation. (b) The functions that are influenced by network 4 include protein synthesis and cell death. (c) The functions that are influenced by network 5 include organ morphology. (d) The functions that are influenced by network 6 include antigen presentation and cellular growth and proliferation (DOC 4156 kb)
11033_2012_2104_MOESM2_ESM.doc (38 kb)
Supplementary material 2 (DOC 37 kb)

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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  1. 1.Department of Public HealthChongqing Medical UniversityChongqingPeople’s Republic of China

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