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

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2017-08-30

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Altmäe, Signe
Koel, Mariann
Võsa, Urmo
Adler, Priit
Suhorutšenko, Marina
Laisk-Podar, Triin
Kukushkina, Viktorija
Saare, Merli
Velthut-Meikas, Agne
Krjutškov, Kaarel

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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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Adult
Biomarkers
Computational Biology
Embryo Implantation
Endometrium
Exosomes
Female
Fertility
Gene Expression Profiling
Gene Ontology
Gene Regulatory Networks
Humans
Immunity, Innate
Menstrual Cycle
MicroRNAs
Molecular Sequence Annotation
RNA, Messenger
Sequence Analysis, RNA
Transcriptome

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