Comparing SRM and SWATH Methods for Quantitation of Bovine Muscle Proteomes.


Journal

Journal of agricultural and food chemistry
ISSN: 1520-5118
Titre abrégé: J Agric Food Chem
Pays: United States
ID NLM: 0374755

Informations de publication

Date de publication:
06 Feb 2019
Historique:
pubmed: 10 1 2019
medline: 21 3 2019
entrez: 10 1 2019
Statut: ppublish

Résumé

Mass spectrometry (MS) has become essential for efficient and accurate quantification of proteins and proteomes and, thus, a key technology throughout all biosciences. However, validated MS methods are still scarce for meat quality research applications. The objective of this work was to develop and compare two targeted proteomic methods, namely, selected reaction monitoring (SRM) and sequential window acquisition of all theoretical spectra (SWATH), for the quantification of 11 bovine muscle proteins that may be indicators of meat color. Both methods require evaluation of spectra from proteotypic and quantotypic peptides, and we here report our evaluation of which peptides and MS parameters are best suited for robust quantification of these 11 proteins. We observed that the SRM approach provides better reproducibility, linearity, and sensitivity than SWATH and is therefore ideal for targeted quantification of low-abundance proteins, while the SWATH approach provides a more time-efficient method for targeted protein quantification of high-abundance proteins and, additionally, supports the search for novel biomarkers.

Identifiants

pubmed: 30624930
doi: 10.1021/acs.jafc.8b05459
doi:

Substances chimiques

Biomarkers 0
Muscle Proteins 0
Proteome 0

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1608-1618

Auteurs

Wei Wu (W)

College of Food Science and Nutritional Engineering , China Agricultural University , No. 17 Qinghua East Road , Haidian District, Beijing 100083 , P. R. China.
Department of Molecular Biology and Genetics, Faculty of Science and Technology , Aarhus University , Gustav Wieds Vej 10 , 8000 Aarhus , Denmark.

Rui-Tong Dai (RT)

College of Food Science and Nutritional Engineering , China Agricultural University , No. 17 Qinghua East Road , Haidian District, Beijing 100083 , P. R. China.

Emøke Bendixen (E)

Department of Molecular Biology and Genetics, Faculty of Science and Technology , Aarhus University , Gustav Wieds Vej 10 , 8000 Aarhus , Denmark.

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Classifications MeSH