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Series GSE178917 Query DataSets for GSE178917
Status Public on Aug 18, 2022
Title MicroRNA-based signatures obtained from endometrial fluid identify implantative endometrium
Organisms Homo sapiens; blank sample
Experiment type Non-coding RNA profiling by high throughput sequencing
Summary Improving embryo implantation rates has become one of the greatest challenges in assisted reproduction techniques. Implantation process requires a synchrony between the development of the embryo and the endometrium, but also, an adequate embryo-endometrial crosstalk. MicroRNAs (miRNAs) and extracellular vesicles (EVs) from endometrial fluid (EF) have been described to be mediators of this communication. Therefore, the molecular analysis of the miRNA content of EF could provide a non-invasive method to recognize an implantative endometrium and consequently improve the implantation rates. In this work, we optimized EF sample collection procedure and performed a comparative analysis of five different methodologies to enrich miRNA content of EF with the purpose of identifying a simple, sensitive, reproducible and non-invasive method that allow the quick identification of an implantative endometrium. Then, we applied the selected methodology in a set of real samples with different implantation outcome. Our results showed that EVs enrichment protocols permit to detect a higher number of miRNAs. In addition, we obtained two predictive models based on three miRNAs that allow us to differentiate between an implantative and non-implantative endometrium. Model 1 (Area under the curve (AUC)=0.93; p-value=0.0033): hsa-miR-200b-3p, hsa-miR-24-3p and hsa-miR-148b-3p. Model 2 (AUC=0.92; p-value=0.0002): hsa-miR-200b-3p, hsa-miR-24-3p and hsa-miR-99b-5p. This work supports the feasibility to analyze EVs and EVs-associated miRNAs from a small volume of EF sample and the development of EV-miRNAs based assays as low-invasive tools for the detection of an implantative endometrium.
 
Overall design Comparison of methods for the characterization of miRNAs from 400uL (1:30 dilution) of endometrial fluid
Web link https://academic.oup.com/humrep/advance-article/doi/10.1093/humrep/deac184/6678065?login=false
 
Contributor(s) Ibañez-Perez J, Díaz-Nuñez M, Clos-García M, Lainz L, Iglesias M, Díez-Zapirain M, Rabanal A, Bárcena L, González M, Lozano JJ, Marigorta UM, González E, Royo F, Aransay AM, Subiran N, Matorras R, Falcón-Pérez JM
Citation(s) 36029522
Submission date Jun 25, 2021
Last update date Aug 31, 2022
Contact name Ana Maria Aransay
E-mail(s) amaransay@cicbiogune.es
Phone 0034944061325
Organization name CIC bioGUNE
Department Genome Analysis Platform
Street address Parque tecnologico de Bizkaia, Building 801-A
City Derio
State/province BIZKAIA
ZIP/Postal code 48160
Country Spain
 
Platforms (2)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
GPL30314 Illumina HiSeq 2500 (blank sample)
Samples (62)
GSM5400832 Mir_10
GSM5400833 Mir_11
GSM5400834 Mir_12
Relations
BioProject PRJNA741497
SRA SRP325643

Download family Format
SOFT formatted family file(s) SOFTHelp
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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE178917_JF-22_counts.txt.gz 55.6 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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