Add like
Add dislike
Add to saved papers

Characterization and discrimination of Tibetan and Duroc × (Landrace × Yorkshire) pork using label-free quantitative proteomics analysis.

The primary aim of this study was to unravel key proteins for the differentiation of Tibetan (n = 15) and Duroc × (Landrace × Yorkshire) (n = 15) pork. A platform consisting of LC-MS/MS analysis and label-free quantitative proteomics was utilized. Changes in the proteome profiles were observed for different pork cuts. A total of 91 and 116 differentially expressed proteins (fold change >2 or < 0.5, p-value<.05) were identified in the five cuts (e.g., shoulder, rump, loin, shank and belly) of Tibetan (TP) and Duroc × (Landrace × Yorkshire) (DLY) pork, respectively. Meanwhile, a comparative proteomics analysis was performed between the TP and DLY pork. We identified 102 expression altered proteins, of which 52.9% (n = 54) and 47.1% (n = 48) were up- and downregulated, respectively, in DLY pork compared to TP. Functional analysis of these proteins revealed that the most significantly enriched gene ontology term for the biological process was the purine-containing compound metabolic process (p = .003), while that with respect to molecular function was threonine-type peptidase activity (p = .002) and that for the cellular component was the mitochondrial inner membrane (p = .001). The most significantly enriched KEGG pathway was involved in histidine metabolism (p = .01), followed by oxidative phosphorylation (p = .02). Proteins involved in oxidative phosphorylation were overabundant in TP. Using a chemometrics approach, we identified 68 significant proteins for the discrimination of TP and DLY pork. The most significantly upregulated proteins in TP and DLY pork were nicotinamide nucleotide transhydrogenase and heat shock protein 90-beta, respectively. This study demonstrates the feasibility of using differential proteomic analysis to discriminate between TP and DLY pork, and the current dataset can be expanded to a larger sample size for possible discriminant validation.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app