دورية أكاديمية
Aggregation of omic data and secretome prediction enable the discovery of candidate plasma biomarkers for beef tenderness
| العنوان: | Aggregation of omic data and secretome prediction enable the discovery of candidate plasma biomarkers for beef tenderness |
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| المؤلفون: | Boudon, Sabrina, Henry-Berger, Joëlle, Cassar-Malek, Isabelle |
| المساهمون: | Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique, Reproduction et Développement (GReD), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne 2017-2020 (UCA 2017-2020 )-Centre National de la Recherche Scientifique (CNRS), regional council of Auvergne Rhone-Alpes (France) FEDER (Ressourcement S3, Europe) |
| المصدر: | ISSN: 1661-6596. |
| بيانات النشر: | HAL CCSD MDPI |
| سنة النشر: | 2020 |
| المجموعة: | Inserm: HAL (Institut national de la santé et de la recherche médicale) |
| مصطلحات موضوعية: | data aggregation, secretome, plasma proteome, biomarkers, meat tenderness, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, [CHIM]Chemical Sciences |
| الوصف: | Beef quality is a complex phenotype that can be evaluated only after animal slaughtering. Previous research has investigated the potential of genetic markers or muscle-derived proteins to assess beef tenderness. Thus, the use of low-invasive biomarkers in living animals is an issue for the beef sector. We hypothesized that publicly available data may help us discovering candidate plasma biomarkers. Thanks to a review of the literature, we built a corpus of articles on beef tenderness. Following data collection, aggregation, and computational reconstruction of the muscle secretome, the putative plasma proteins were searched by comparison with a bovine plasma proteome atlas and submitted to mining of biological information. Of the 44 publications included in the study, 469 unique gene names were extracted for aggregation. Seventy-one proteins putatively released in the plasma were revealed. Among them 13 proteins were predicted to be secreted in plasma, 44 proteins as hypothetically secreted in plasma, and 14 additional candidate proteins were detected thanks to network analysis. Among these 71 proteins, 24 were included in tenderness quantitative trait loci. The in-silico workflow enabled the discovery of candidate plasma biomarkers for beef tenderness from reconstruction of the secretome, to be examined in the cattle plasma proteome. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/pmid/31963926; hal-02516737; https://hal.inrae.fr/hal-02516737Test; https://hal.inrae.fr/hal-02516737/documentTest; https://hal.inrae.fr/hal-02516737/file/Boudon%20et%20al_2020_ijms-21-00664_1.pdfTest; PRODINRA: 495241; PUBMED: 31963926; WOS: 000515380000294 |
| DOI: | 10.3390/ijms21020664 |
| الإتاحة: | https://doi.org/10.3390/ijms21020664Test https://hal.inrae.fr/hal-02516737Test https://hal.inrae.fr/hal-02516737/documentTest https://hal.inrae.fr/hal-02516737/file/Boudon%20et%20al_2020_ijms-21-00664_1.pdfTest |
| حقوق: | info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.9EA4FB56 |
| قاعدة البيانات: | BASE |
| DOI: | 10.3390/ijms21020664 |
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