TY  - JOUR
AU  - Gagaoua, Mohammed
AU  - Warner, Robyn D.
AU  - Purslow, Peter
AU  - Ramanathan, Ranjith
AU  - Mullen, Anne Maria
AU  - Lopez-Pedrouso, Maria
AU  - Franco, Daniel
AU  - Lorenzo, José M.
AU  - Tomašević, Igor
AU  - Picard, Brigitte
AU  - Troy, Declan
AU  - Terlouw, E.M. Claudia
PY  - 2021
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5885
AB  - Comprehensive characterization of the post-mortem muscle proteome defines a fundamental goal in meat proteomics. During the last decade, proteomics tools have been applied in the field of foodomics to help decipher factors underpinning meat quality variations and to enlighten us, through data-driven methods, on the underlying mechanisms leading to meat quality defects such as dark-cutting meat known also as dark, firm and dry (DFD) meat. In cattle, several proteomics studies have focused on the extent to which changes in the post-mortem muscle proteome relate to dark-cutting beef development. The present data-mining study firstly reviews proteomics studies which investigated dark-cutting beef, and secondly, gathers the protein biomarkers that differ between dark-cutting versus beef with normal-pH in a unique repertoire. A list of 130 proteins from eight eligible studies was curated and mined through bioinformatics for Gene Ontology annotations, molecular pathways enrichments, secretome analysis and biological pathways comparisons to normal beef color from a previous meta-analysis. The major biological pathways underpinning dark-cutting beef at the proteome level have been described and deeply discussed in this integromics study.
PB  - Elsevier Ltd
T2  - Meat Science
T1  - Dark-cutting beef: A brief review and an integromics meta-analysis at the  proteome level to decipher the underlying pathways
SP  - 108611
VL  - 181
DO  - 10.1016/j.meatsci.2021.108611
ER  - 

@article{
author = "Gagaoua, Mohammed and Warner, Robyn D. and Purslow, Peter and Ramanathan, Ranjith and Mullen, Anne Maria and Lopez-Pedrouso, Maria and Franco, Daniel and Lorenzo, José M. and Tomašević, Igor and Picard, Brigitte and Troy, Declan and Terlouw, E.M. Claudia",
year = "2021",
abstract = "Comprehensive characterization of the post-mortem muscle proteome defines a fundamental goal in meat proteomics. During the last decade, proteomics tools have been applied in the field of foodomics to help decipher factors underpinning meat quality variations and to enlighten us, through data-driven methods, on the underlying mechanisms leading to meat quality defects such as dark-cutting meat known also as dark, firm and dry (DFD) meat. In cattle, several proteomics studies have focused on the extent to which changes in the post-mortem muscle proteome relate to dark-cutting beef development. The present data-mining study firstly reviews proteomics studies which investigated dark-cutting beef, and secondly, gathers the protein biomarkers that differ between dark-cutting versus beef with normal-pH in a unique repertoire. A list of 130 proteins from eight eligible studies was curated and mined through bioinformatics for Gene Ontology annotations, molecular pathways enrichments, secretome analysis and biological pathways comparisons to normal beef color from a previous meta-analysis. The major biological pathways underpinning dark-cutting beef at the proteome level have been described and deeply discussed in this integromics study.",
publisher = "Elsevier Ltd",
journal = "Meat Science",
title = "Dark-cutting beef: A brief review and an integromics meta-analysis at the  proteome level to decipher the underlying pathways",
pages = "108611",
volume = "181",
doi = "10.1016/j.meatsci.2021.108611"
}

Gagaoua, M., Warner, R. D., Purslow, P., Ramanathan, R., Mullen, A. M., Lopez-Pedrouso, M., Franco, D., Lorenzo, J. M., Tomašević, I., Picard, B., Troy, D.,& Terlouw, E.M. C.. (2021). Dark-cutting beef: A brief review and an integromics meta-analysis at the  proteome level to decipher the underlying pathways. in Meat Science
Elsevier Ltd., 181, 108611.
https://doi.org/10.1016/j.meatsci.2021.108611

Gagaoua M, Warner RD, Purslow P, Ramanathan R, Mullen AM, Lopez-Pedrouso M, Franco D, Lorenzo JM, Tomašević I, Picard B, Troy D, Terlouw EC. Dark-cutting beef: A brief review and an integromics meta-analysis at the  proteome level to decipher the underlying pathways. in Meat Science. 2021;181:108611.
doi:10.1016/j.meatsci.2021.108611 .

Gagaoua, Mohammed, Warner, Robyn D., Purslow, Peter, Ramanathan, Ranjith, Mullen, Anne Maria, Lopez-Pedrouso, Maria, Franco, Daniel, Lorenzo, José M., Tomašević, Igor, Picard, Brigitte, Troy, Declan, Terlouw, E.M. Claudia, "Dark-cutting beef: A brief review and an integromics meta-analysis at the  proteome level to decipher the underlying pathways" in Meat Science, 181 (2021):108611,
https://doi.org/10.1016/j.meatsci.2021.108611 . .