Cargando…
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: | Bendifallah, Sofiane, Dabi, Yohann, Suisse, Stéphane, Delbos, Léa, Poilblanc, Mathieu, Descamps, Philippe, Golfier, Francois, Jornea, Ludmila, Bouteiller, Delphine, Touboul, Cyril, Puchar, Anne, Daraï, Emile |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
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 |
Ejemplares similares
-
MicroRNome analysis generates a blood-based signature for endometriosis
por: Bendifallah, Sofiane, et al.
Publicado: (2022) -
Salivary MicroRNA Signature for Diagnosis of Endometriosis
por: Bendifallah, Sofiane, et al.
Publicado: (2022) -
Machine learning algorithms as new screening approach for patients with endometriosis
por: Bendifallah, Sofiane, et al.
Publicado: (2022) -
Clues for Improving the Pathophysiology Knowledge for Endometriosis Using Serum Micro-RNA Expression
por: Dabi, Yohann, et al.
Publicado: (2022) -
A Bioinformatics Approach to MicroRNA-Sequencing Analysis Based on Human Saliva Samples of Patients with Endometriosis
por: Bendifallah, Sofiane, et al.
Publicado: (2022)