Meta-signature of human endometrial receptivity: a meta-analysis and validation study of transcriptomic biomarkers.

Authors

Signe Altmäe, Mariann Koel, Urmo Võsa, Priit Adler, Marina Suhorutšenko, Triin Laisk-Podar, Viktorija Kukushkina, Merli Saare, Agne Velthut-Meikas, Kaarel Krjutškov, Lusine Aghajanova, Parameswaran G Lalitkumar, Kristina Gemzell-Danielsson, Linda Giudice, Carlos Simón, Andres Salumets

Published in

Scientific reports. Volume 7. Issue 1. Pages 10077. Aug 30, 2017. Epub Aug 30, 2017.

Abstract

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.

PMID:
28855728
Bibliographic data and abstract were imported from PubMed on 07 Nov 2025.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.