The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
Meta-signature of human endometrial receptivity: a meta-analysis and validation study of transcriptomic biomarkers
Open accessAbstract
Previous transcriptome studies of the human endometrium have revealed hundreds of simultaneously up- and down-regulated genes that are involved in endometrial receptivity. However, the overlap between the studies is relatively small, and we are still searching for potential diagnostic biomarkers. Here we perform a meta-analysis of endometrial-receptivity associated genes on 164 endometrial samples (76 from ‘pre-receptive’ and 88 from mid-secretory, ‘receptive’ phase endometria) using a robust rank aggregation (RRA) method, followed by enrichment analysis, and regulatory microRNA prediction. We identify a meta-signature of endometrial receptivity involving 57 mRNA genes as putative receptivity markers, where 39 of these we confirm experimentally using RNA-sequencing method in two separate datasets. The meta-signature genes highlight the importance of immune responses, the complement cascade pathway and the involvement of exosomes in mid-secretory endometrial functions. Bioinformatic prediction identifies 348 microRNAs that could regulate 30 endometrial-receptivity associated genes, and we confirm experimentally the decreased expression of 19 microRNAs with 11 corresponding up-regulated meta-signature genes in our validation experiments. The 57 identified meta-signature genes and involved pathways, together with their regulatory microRNAs could serve as promising and sought-after biomarkers of endometrial receptivity, fertility and infertility.
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miRBase: annotating high confidence microRNAs using deep sequencing data
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Obesity and female infertility
Ennab, F., & Atiomo, W. (2023) · Best Practice & Research Clinical Obstetrics & Gynaecology · doi:10.1016/j.bpobgyn.2023.102336 · Cited by 47
Metadata
- Authors
- Altmäe, S., Koel, M., Võsa, U., Adler, P., Suhorutšenko, M., Laisk-Podar, T., Kukushkina, V., Saare, M., Velthut-Meikas, A., Krjutškov, K., Aghajanova, L., Lalitkumar, P. G., Gemzell-Danielsson, K., Giudice, L., Simón, C., & Salumets, A.
- Venue
- Scientific Reports
- Published
- 2017-08-30
- Volume
- 7
- Issue
- 1
- Pages
- 10077-10077
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2747531951
- Cited by
- 265
- References
- 104
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- gold
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- Altmäe, S., Koel, M., Võsa, U., Adler, P., Suhorutšenko, M., Laisk-Podar, T., Kukushkina, V., Saare, M., Velthut-Meikas, A., Krjutškov, K., Aghajanova, L., Lalitkumar, P. G., Gemzell-Danielsson, K., Giudice, L., Simón, C., & Salumets, A. (2017). Meta-signature of human endometrial receptivity: a meta-analysis and validation study of transcriptomic biomarkers. Scientific Reports. https://doi.org/10.1038/s41598-017-10098-3
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
