Quantitative proteomic analysis to identify potential biomarkers linked to quality traits of beef tripe from different sources.

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  • Additional Information
    • Source:
      Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 7702639 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7072 (Electronic) Linking ISSN: 03088146 NLM ISO Abbreviation: Food Chem Subsets: MEDLINE
    • Publication Information:
      Publication: Barking : Elsevier Applied Science Publishers
      Original Publication: Barking, Eng., Applied Science Publishers.
    • Subject Terms:
      Proteomics* ; Biomarkers*/analysis; Cattle ; Animals ; Meat/analysis ; Quality Control
    • Abstract:
      In this work, the 4D data-independent acquisition (DIA) quantitative strategy was used for differential proteomic analysis of four beef tripe samples from different sources to explore the associations between differentially expressed proteins (DEPs) and meat quality traits. A total of 68 shared DEPs were identified in all comparison groups, which were mainly involved in phosphorylation signaling pathway, peroxisome proliferator-activated receptor (PPAR) signaling pathway, and glucuronic acid pathway. In the correlation analysis between DEPs and quality traits of beef tripe, it was found that 21 proteins were significantly associated with the quality traits in beef tripe, which could be considered as the potential biomarkers of beef tripe quality. This study has successfully uncovered the protein composition of beef tripe for the very first time, which helps to understand the key proteins and biological processes associated with the quality traits of beef tripe from different sources and improve the quality control of beef tripe.
      Competing Interests: Declaration of competing interest Authors declare that they do not have any conflict of interest for this part of research. We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the submitted manuscript.
      (Copyright © 2024 Elsevier Ltd. All rights reserved.)
    • Contributed Indexing:
      Keywords: Beef tripe; Data-independent acquisition (DIA); Meat quality; Potential biomarker; Proteomic
    • Accession Number:
      0 (Biomarkers)
    • Publication Date:
      Date Created: 20240410 Date Completed: 20240430 Latest Revision: 20240430
    • Publication Date:
      20240501
    • Accession Number:
      10.1016/j.foodchem.2024.139224
    • Accession Number:
      38599111