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Proteomic and peptidomic differences and similarities between four muscle types from New Zealand raised Angus steers

journal contribution
posted on 2023-05-03, 20:43 authored by Stefan ClerensStefan Clerens, Ancy ThomasAncy Thomas, Jessica Gathercole, Jeff PlowmanJeff Plowman, Robert Yu, Anita Grosvenor, Stephen HainesStephen Haines, Peter Dobbie, Kevin TaukiriKevin Taukiri, Katja Rosenvold, Jolon Dyer, Santanu Deb-Choudhury
Four muscles from New Zealand-raised Angus steers were evaluated (musculus semitendinosus, m. longissimus thoracis et lumborum, m. psoas major and m. infraspinatus) to test their differences and common features in protein and peptide abundances. The ultimate goal of such a comparison is to match muscle types to products with targeted properties. Protein profiling based on two-dimensional electrophoresis showed that the overall profiles were similar, but, between muscle types, significant (p < 0.05) intensity differences were observed in twenty four protein spots. Profiling of endogenous peptides allowed characterisation of 346 peptides. Quantitative analysis showed a clear distinction between the muscle types. Forty-four peptides were identified that showed a statistically significant (p < 0.05) and substantial (> 2-fold change) difference between at least two muscle types. These analyses demonstrate substantial similarities between these four muscle types, but also clear distinctions in their profiles; specifically a 25% difference between at least two muscles at the peptidomic level, and a 14% difference at the proteomic level.

History

Rights statement

© 2016 Elsevier Ltd. All rights reserved.

Language

  • English

Does this contain Māori information or data?

  • No

Publisher

Elsevier

Journal title

Meat Science

ISSN

0309-1740

Citation

Clerens, S., Thomas, A., Gathercole, J., Plowman, J. E., Yu, R., Grosvenor, A. J., … Deb-Choudhury, S. (2016). Proteomic and peptidomic differences and similarities between four muscle types from New Zealand raised Angus steers. Meat Science, 121, 53–63. doi:10.1016/j.meatsci.2016.05.014

Funder

Core Funding

Contract number

A19119

Job code

167305

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