Transcriptome mining of embryonic implantation in the endometrium of dairy cattle | ||
| علوم دامی | ||
| Volume 33, Issue 129, March 2021, Pages 141-154 PDF (1.18 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.22092/asj.2020.127529.1972 | ||
| Authors | ||
| Jafar Jamdar1; Mohammad Moradi Shahrbabak* 2; Ardeshir Nejati Jvaremi3 | ||
| 1Ph.D. Candidateو Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran | ||
| 2Department of animal science-University of Tehran /professor | ||
| 3Professor, Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran | ||
| Abstract | ||
| Establishment and maintenance of pregnancy are essential for product persistency in ruminants, and especially in dairy cattle. Embryo implantation into the uterus is an essential process for the maintenance of pregnancy, and involves complex interactions between the embryo and maternal endometrium. Examination of genes and mechanisms regulating the initiation of implantation is necessary to understand implantation process. In this study, in order to better understand the molecular basis of implantation, we undertook the transcriptome profiling of endometrial cells of pregnant with non-pregnant cows, during this period. In total differentially expressed genes were identified with the comparison of the endometrial profiles. Thus, after preprocessing and analysis of data and meta-analysis, gene interactions were investigated using data mining approach. Also with the reconstruction of network and search for important and functional modules, we found 4 main modules. The most important genes contained CLU, ACTA2, MX1, MX2, C1S, COL3A1, S100A11, NID1, SELL, PTN and CDH13. The results of this study suggest that identified modules can be used as markers for uterus receptivity, and embryo implantation. | ||
| Keywords | ||
| Data mining; Functional module; Gene network; Uterus | ||
| References | ||
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