Kohonen Artificial Neural Network and Multivariate Analysis in the Identification of Proteome Changes during Early and Long Aging of Bovine Longissimus dorsi Muscle Using SWATH Mass Spectrometry
| العنوان: | Kohonen Artificial Neural Network and Multivariate Analysis in the Identification of Proteome Changes during Early and Long Aging of Bovine Longissimus dorsi Muscle Using SWATH Mass Spectrometry |
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| المؤلفون: | Emilio Marengo, Jessica Brandi, Elisa Robotti, Enrico Novelli, Elettra Barberis, Daniela Cecconi, Marcello Manfredi |
| المصدر: | Journal of Agricultural and Food Chemistry |
| بيانات النشر: | American Chemical Society (ACS), 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Male, Proteomics, Meat, Multivariate analysis, Proteome, Biology, PLS-DA, Article, Mass Spectrometry, Andrology, Downregulation and upregulation, medicine, Animals, chemometric techniques, Muscle, Skeletal, Longissimus dorsi, Skeletal, General Chemistry, longissimus dorsi, Tenderness, PFKM, longissimus dorsi, chemometric techniques, supervised Kohonen networks, PLS-DA, SWATH-MS, Multivariate Analysis, SWATH-MS, Muscle, Female, Cattle, Neural Networks, Computer, supervised Kohonen networks, medicine.symptom, General Agricultural and Biological Sciences, Carbonic anhydrase 3 |
| الوصف: | To study proteomic changes involved in tenderization of Longissimus dorsi, Charolais heifers and bulls muscles were sampled after early and long aging (12 or 26 days). Sensory evaluation and instrumental tenderness measurement were performed. Proteins were analyzed by gel-free proteomics. By pattern recognition (principal component analysis and Kohonen’s self-organizing maps) and classification (partial least squares-discriminant analysis) tools, 58 and 86 dysregulated proteins were detected after 12 and 26 days of aging, respectively. Tenderness was positively correlated mainly with metabolic enzymes (PYGM, PGAM2, TPI1, PGK1, and PFKM) and negatively with keratins. Downregulation in hemoglobin subunits and carbonic anhydrase 3 levels was relevant after 12 days of aging, while mimecan and collagen chains levels were reduced after 26 days of aging. Bioinformatics indicated that aging involves a prevalence of metabolic pathways after late and long periods. These findings provide a deeper understanding of changes involved in aging of beef and indicate a powerful method for future proteomics studies. |
| تدمد: | 1520-5118 0021-8561 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac1fd69f1060fa5ae612b90b698508a7Test https://doi.org/10.1021/acs.jafc.1c03578Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....ac1fd69f1060fa5ae612b90b698508a7 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15205118 00218561 |
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