| Title |
Cell type-specific analysis of transcriptome changes in the porcine endometrium on Day 12 of pregnancy
|
|---|---|
| Published in |
BMC Genomics, June 2018
|
| DOI | 10.1186/s12864-018-4855-y |
| Pubmed ID | |
| Authors |
Shuqin Zeng, Jochen Bick, Susanne E. Ulbrich, Stefan Bauersachs |
| Abstract |
Along with trophoblast elongation (Days 10 to 12), estradiol is secreted in increasing amounts for recognition of pregnancy. Endometrial secretions driven by ovarian progesterone and conceptus signals are essential for conceptus growth and development. Results of transcriptome analyses of whole endometrial tissue samples in the pig indicated the need for cell type-specific endometrial gene expression analysis for a better understanding of transcriptome changes associated with establishment of pregnancy. The most distinct transcriptome profile and the majority of differentially expressed genes (DEGs) were identified in luminal epithelium (LE). Many DEGs were found only in the cell type-specific analysis. The functional classification of DEGs identified in specific endometrial cell types revealed various distinct functions and pathways. Genes related to immune activation, estrogen signaling pathway, embryo development, and cell proliferation were upregulated in LE of pregnant gilts. Genes involved in sterol biosynthetic and metabolic processes and extracellular matrix were upregulated in stroma. Genes associated with cell communication such as via exosomes and vesicles were found as differential in LE, glandular epithelium (GE), and stroma (S). This study revealed that conceptus signals induce different transcriptomic regulations in the endometrial compartments/cell types related to their specific function during recognition and establishment of pregnancy. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 20% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Doctoral Student | 5 | 14% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 8 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 26% |
| Agricultural and Biological Sciences | 8 | 23% |
| Veterinary Science and Veterinary Medicine | 6 | 17% |
| Computer Science | 1 | 3% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 June 2018.
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#20,522,137
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Outputs of similar age from BMC Genomics
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