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Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study
The aim of our study was to describe the bioinformatics approach to analyze miRNome with Next Generation Sequencing (NGS) of 200 plasma samples from patients with and without endometriosis. Patients were prospectively included in the ENDO-miRNA study that selected patients with pelvic pain suggestiv...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140062/ https://www.ncbi.nlm.nih.gov/pubmed/35626305 http://dx.doi.org/10.3390/diagnostics12051150 |
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author | Bendifallah, Sofiane Dabi, Yohann Suisse, Stéphane Delbos, Léa Poilblanc, Mathieu Descamps, Philippe Golfier, Francois Jornea, Ludmila Bouteiller, Delphine Touboul, Cyril Puchar, Anne Daraï, Emile |
author_facet | Bendifallah, Sofiane Dabi, Yohann Suisse, Stéphane Delbos, Léa Poilblanc, Mathieu Descamps, Philippe Golfier, Francois Jornea, Ludmila Bouteiller, Delphine Touboul, Cyril Puchar, Anne Daraï, Emile |
author_sort | Bendifallah, Sofiane |
collection | PubMed |
description | The aim of our study was to describe the bioinformatics approach to analyze miRNome with Next Generation Sequencing (NGS) of 200 plasma samples from patients with and without endometriosis. Patients were prospectively included in the ENDO-miRNA study that selected patients with pelvic pain suggestive of endometriosis. miRNA sequencing was performed using an Novaseq6000 sequencer (Illumina, San Diego, CA, USA). Small RNA-seq of 200 plasma samples yielded ~4228 M raw sequencing reads. A total of 2633 miRNAs were found differentially expressed. Among them, 8.6% (n = 229) were up- or downregulated. For these 229 miRNAs, the F1-score, sensitivity, specificity, and AUC ranged from 0–88.2%, 0–99.4%, 4.3–100%, and 41.5–68%, respectively. Utilizing the combined bioinformatic and NGS approach, a specific and broad panel of miRNAs was detected as being potentially suitable for building a blood signature of endometriosis. |
format | Online Article Text |
id | pubmed-9140062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91400622022-05-28 Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study Bendifallah, Sofiane Dabi, Yohann Suisse, Stéphane Delbos, Léa Poilblanc, Mathieu Descamps, Philippe Golfier, Francois Jornea, Ludmila Bouteiller, Delphine Touboul, Cyril Puchar, Anne Daraï, Emile Diagnostics (Basel) Article The aim of our study was to describe the bioinformatics approach to analyze miRNome with Next Generation Sequencing (NGS) of 200 plasma samples from patients with and without endometriosis. Patients were prospectively included in the ENDO-miRNA study that selected patients with pelvic pain suggestive of endometriosis. miRNA sequencing was performed using an Novaseq6000 sequencer (Illumina, San Diego, CA, USA). Small RNA-seq of 200 plasma samples yielded ~4228 M raw sequencing reads. A total of 2633 miRNAs were found differentially expressed. Among them, 8.6% (n = 229) were up- or downregulated. For these 229 miRNAs, the F1-score, sensitivity, specificity, and AUC ranged from 0–88.2%, 0–99.4%, 4.3–100%, and 41.5–68%, respectively. Utilizing the combined bioinformatic and NGS approach, a specific and broad panel of miRNAs was detected as being potentially suitable for building a blood signature of endometriosis. MDPI 2022-05-05 /pmc/articles/PMC9140062/ /pubmed/35626305 http://dx.doi.org/10.3390/diagnostics12051150 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bendifallah, Sofiane Dabi, Yohann Suisse, Stéphane Delbos, Léa Poilblanc, Mathieu Descamps, Philippe Golfier, Francois Jornea, Ludmila Bouteiller, Delphine Touboul, Cyril Puchar, Anne Daraï, Emile Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study |
title | Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study |
title_full | Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study |
title_fullStr | Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study |
title_full_unstemmed | Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study |
title_short | Endometriosis Associated-miRNome Analysis of Blood Samples: A Prospective Study |
title_sort | endometriosis associated-mirnome analysis of blood samples: a prospective study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140062/ https://www.ncbi.nlm.nih.gov/pubmed/35626305 http://dx.doi.org/10.3390/diagnostics12051150 |
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