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For: Mao Y, Hopkins DL, Zhang Y, Li P, Zhu L, Dong P, Liang R, Dai J, Wang X, Luo X. Beef quality with different intramuscular fat content and proteomic analysis using isobaric tag for relative and absolute quantitation of differentially expressed proteins. Meat Sci 2016;118:96-102. [PMID: 27064846 DOI: 10.1016/j.meatsci.2016.03.028] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2016] [Revised: 03/29/2016] [Accepted: 03/30/2016] [Indexed: 12/23/2022]
Number Cited by Other Article(s)
1
Kuraz Abebe B, Wang J, Guo J, Wang H, Li A, Zan L. A review of the role of epigenetic studies for intramuscular fat deposition in beef cattle. Gene 2024;908:148295. [PMID: 38387707 DOI: 10.1016/j.gene.2024.148295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 01/23/2024] [Accepted: 02/15/2024] [Indexed: 02/24/2024]
2
Ma Z, Yan XM, Geng J, Gao L, Du W, Li HB, Yuan LX, Zhou ZY, Zhang JS, Zhang Y, Chen L. Genome-wide identification and analysis of TMT-based proteomes in longissimus dorsi tissue from Kazakh cattle and Xinjiang brown cattle. Anim Biotechnol 2023;34:1261-1272. [PMID: 34965845 DOI: 10.1080/10495398.2021.2019756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
3
High-pressure processing and modified atmosphere packaging combinations for the improvement of dark, firm, and dry beef quality and shelf-life. Meat Sci 2023;198:109113. [PMID: 36681061 DOI: 10.1016/j.meatsci.2023.109113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 01/08/2023] [Accepted: 01/10/2023] [Indexed: 01/15/2023]
4
Picard B, Cougoul A, Couvreur S, Bonnet M. Relationships between the abundance of 29 proteins and several meat or carcass quality traits in two bovine muscles revealed by a combination of univariate and multivariate analyses. J Proteomics 2023;273:104792. [PMID: 36535620 DOI: 10.1016/j.jprot.2022.104792] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/23/2022]
5
YAN Z, LI W, HU R, MA Q, LU Z. Quantitative proteomic comparison of protein differences in different parts of yak meat. FOOD SCIENCE AND TECHNOLOGY 2022. [DOI: 10.1590/fst.62020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
6
Nguyen DV, Nguyen OC, Malau-Aduli AE. Main regulatory factors of marbling level in beef cattle. Vet Anim Sci 2021;14:100219. [PMID: 34877434 PMCID: PMC8633366 DOI: 10.1016/j.vas.2021.100219] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 10/24/2021] [Accepted: 11/18/2021] [Indexed: 02/06/2023]  Open
7
Wang Y, Wang Z, Hu R, Peng Q, Xue B, Wang L. Comparison of carcass characteristics and meat quality between Simmental crossbred cattle, cattle-yaks and Xuanhan yellow cattle. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2021;101:3927-3932. [PMID: 33345324 DOI: 10.1002/jsfa.11032] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 11/02/2020] [Accepted: 12/20/2020] [Indexed: 06/12/2023]
8
Yan X, Wang J, Li H, Gao L, Geng J, Ma Z, Liu J, Zhang J, Xie P, Chen L. Combined transcriptome and proteome analyses reveal differences in the longissimus dorsi muscle between Kazakh cattle and Xinjiang brown cattle. Anim Biosci 2021;34:1439-1450. [PMID: 33677919 PMCID: PMC8495333 DOI: 10.5713/ab.20.0751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Accepted: 01/29/2021] [Indexed: 01/09/2023]  Open
9
Genome-wide association study for beef fatty acid profile using haplotypes in Nellore cattle. Livest Sci 2021. [DOI: 10.1016/j.livsci.2021.104396] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
10
Martins R, Machado PC, Pinto LFB, Silva MR, Schenkel FS, Brito LF, Pedrosa VB. Genome-wide association study and pathway analysis for fat deposition traits in nellore cattle raised in pasture-based systems. J Anim Breed Genet 2020;138:360-378. [PMID: 33232564 DOI: 10.1111/jbg.12525] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 10/30/2020] [Accepted: 11/01/2020] [Indexed: 02/06/2023]
11
Gagaoua M, Bonnet M, Picard B. Protein Array-Based Approach to Evaluate Biomarkers of Beef Tenderness and Marbling in Cows: Understanding of the Underlying Mechanisms and Prediction. Foods 2020;9:foods9091180. [PMID: 32858893 PMCID: PMC7554754 DOI: 10.3390/foods9091180] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 08/17/2020] [Accepted: 08/21/2020] [Indexed: 12/14/2022]  Open
12
Proteomic biomarkers of beef colour. Trends Food Sci Technol 2020. [DOI: 10.1016/j.tifs.2020.05.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
13
Zhu C, Zhao G, Cui W, Li S, Yu X, Zhang Q. Utilization of i-TRAQ technology to determine protein modifications in pork soup in response to addition of salt. J Food Compost Anal 2020. [DOI: 10.1016/j.jfca.2020.103453] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
14
Picard B, Gagaoua M. Meta-proteomics for the discovery of protein biomarkers of beef tenderness: An overview of integrated studies. Food Res Int 2020;127:108739. [DOI: 10.1016/j.foodres.2019.108739] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 09/29/2019] [Accepted: 10/02/2019] [Indexed: 01/14/2023]
15
Ma C, Wang W, Wang Y, Sun Y, Kang L, Zhang Q, Jiang Y. TMT-labeled quantitative proteomic analyses on the longissimus dorsi to identify the proteins underlying intramuscular fat content in pigs. J Proteomics 2019;213:103630. [PMID: 31881348 DOI: 10.1016/j.jprot.2019.103630] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 11/11/2019] [Accepted: 12/22/2019] [Indexed: 11/17/2022]
16
Bazile J, Picard B, Chambon C, Valais A, Bonnet M. Pathways and biomarkers of marbling and carcass fat deposition in bovine revealed by a combination of gel-based and gel-free proteomic analyses. Meat Sci 2019;156:146-155. [DOI: 10.1016/j.meatsci.2019.05.018] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 04/05/2019] [Accepted: 05/16/2019] [Indexed: 01/09/2023]
17
Wei Y, Li X, Zhang D, Liu Y. Comparison of protein differences between high- and low-quality goat and bovine parts based on iTRAQ technology. Food Chem 2019;289:240-249. [DOI: 10.1016/j.foodchem.2019.03.052] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 03/01/2019] [Accepted: 03/11/2019] [Indexed: 12/16/2022]
18
López-Pedrouso M, Franco D, Serrano MP, Maggiolino A, Landete-Castillejos T, De Palo P, Lorenzo JM. A proteomic-based approach for the search of biomarkers in Iberian wild deer (Cervus elaphus) as indicators of meat quality. J Proteomics 2019;205:103422. [PMID: 31228583 DOI: 10.1016/j.jprot.2019.103422] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Revised: 05/04/2019] [Accepted: 06/17/2019] [Indexed: 12/21/2022]
19
Zhou CY, Wang C, Dai C, Bai Y, Yu XB, Li CB, Xu XL, Zhou GH, Cao JX. iTRAQ-based quantitative proteomic characterizes the salting exudates of Jinhua ham during the salting process. Food Control 2019. [DOI: 10.1016/j.foodcont.2019.01.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
20
Qiu K, Zhang X, Wang L, Jiao N, Xu D, Yin J. Protein Expression Landscape Defines the Differentiation Potential Specificity of Adipogenic and Myogenic Precursors in the Skeletal Muscle. J Proteome Res 2018;17:3853-3865. [DOI: 10.1021/acs.jproteome.8b00530] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
21
Feedomics: Promises for food security with sustainable food animal production. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.07.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
22
Poleti MD, Regitano LC, Souza GH, Cesar AS, Simas RC, Silva-Vignato B, Oliveira GB, Andrade SC, Cameron LC, Coutinho LL. Longissimus dorsi muscle label-free quantitative proteomic reveals biological mechanisms associated with intramuscular fat deposition. J Proteomics 2018;179:30-41. [DOI: 10.1016/j.jprot.2018.02.028] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Revised: 02/14/2018] [Accepted: 02/26/2018] [Indexed: 02/06/2023]
23
Baik M, Kang HJ, Park SJ, Na SW, Piao M, Kim SY, Fassah DM, Moon YS. TRIENNIAL GROWTH AND DEVELOPMENT SYMPOSIUM: Molecular mechanisms related to bovine intramuscular fat deposition in the longissimus muscle. J Anim Sci 2017;95:2284-2303. [PMID: 28727015 DOI: 10.2527/jas.2016.1160] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]  Open
24
Thornton KJ, Chapalamadugu KC, Eldredge EM, Murdoch GK. Analysis of Longissimus thoracis Protein Expression Associated with Variation in Carcass Quality Grade and Marbling of Beef Cattle Raised in the Pacific Northwestern United States. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2017;65:1434-1442. [PMID: 28117999 DOI: 10.1021/acs.jafc.6b02795] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
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