Literature DB >> 31881348

TMT-labeled quantitative proteomic analyses on the longissimus dorsi to identify the proteins underlying intramuscular fat content in pigs.

Cai Ma1, Wenwen Wang2, Yuding Wang3, Yi Sun4, Li Kang5, Qin Zhang6, Yunliang Jiang7.   

Abstract

The Laiwu pig is famous for its excessively extremely high level of intramuscular fat content (IMF), however, the exact regulatory mechanism underlying intramuscular fat deposition in skeletal muscle is still unknown. As an economically important trait in pigs, IMF is controlled by multiple genes and biological pathways. In this study, we performed an integrated transcriptome-assisted TMT-labeled quantitative proteomic analysis of the longissimus dorsi (LD) muscle in Laiwu pigs at the fastest IMF deposition stage and identified 5074 unique proteins and 52 differentially abundant proteins (DAPs) (>1.5-fold cutoff, p < .05). These DAPs were hierarchically clustered in the LD muscle over two developmental stages from 120 d to 240 d. A comparison between transcriptomic (mRNA) and proteomic data revealed two differentially expressed genes corresponding to the DAPs. Changes in the levels of the nine proteins were further analyzed using RT-qPCR and parallel reaction monitoring (PRM). The proteins identified in this study could serve as candidates for elucidating the molecular mechanism of IMF deposition in pigs. SIGNIFICANCE: The intramuscular fat content (IMF) refers to the amount of fat within muscles and plays an important role in meat quality by affecting meat quality-related traits, such as tenderness, juiciness and flavor. Using the integrated transcriptome-assisted TMT-labeled quantitative proteomic approach to characterize changes in the proteomic profile of the longissimus dorsi muscle, we identified differentially abundant proteins, such as ALDH1B1, OTX2, AnxA6 and Zfp512, that are associated with intramuscular fat deposition and fat biosynthesis in pigs. These proteins could serve as candidates for elucidating the molecular mechanism of IMF deposition in pigs.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Intramuscular fat content; Pig; Protein; Proteomics; TMT; longissimus dorsi muscle

Mesh:

Year:  2019        PMID: 31881348     DOI: 10.1016/j.jprot.2019.103630

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  13 in total

1.  Proteomics Insights into the Gene Network of cis9, trans11-Conjugated Linoleic Acid Biosynthesis in Bovine Mammary Gland Epithelial Cells.

Authors:  Liying Peng; Ge Bai; Chunzheng Wang; Jianan Dong; Yongjun Liu; Zhe Sun; Yuguo Zhen; Guixin Qin; Xuefeng Zhang; Natnael Demelash; Tao Wang
Journal:  Animals (Basel)       Date:  2022-07-02       Impact factor: 3.231

2.  Myostatin suppresses adipogenic differentiation and lipid accumulation by activating crosstalk between ERK1/2 and PKA signaling pathways in porcine subcutaneous preadipocytes.

Authors:  Shifeng Pan; Lin Zhang; Zhuang Liu; Hua Xing
Journal:  J Anim Sci       Date:  2021-12-01       Impact factor: 3.338

3.  Statistical analysis in metabolic phenotyping.

Authors:  Benjamin J Blaise; Gonçalo D S Correia; Gordon A Haggart; Izabella Surowiec; Caroline Sands; Matthew R Lewis; Jake T M Pearce; Johan Trygg; Jeremy K Nicholson; Elaine Holmes; Timothy M D Ebbels
Journal:  Nat Protoc       Date:  2021-07-28       Impact factor: 13.491

Review 4.  Application of Proteomic Technologies to Assess the Quality of Raw Pork and Pork Products: An Overview from Farm-To-Fork.

Authors:  María López-Pedrouso; José M Lorenzo; Mohammed Gagaoua; Daniel Franco
Journal:  Biology (Basel)       Date:  2020-11-11

5.  TMT Quantitative Proteomics Analysis Reveals the Effects of Transport Stress on Iron Metabolism in the Liver of Chicken.

Authors:  Jun Liu; Dunhua Liu; Xun Wu; Cuili Pan; Shuzhe Wang; Lu Ma
Journal:  Animals (Basel)       Date:  2021-12-28       Impact factor: 2.752

6.  Identification of candidate genes that specifically regulate subcutaneous and intramuscular fat deposition using transcriptomic and proteomic profiles in Dingyuan pigs.

Authors:  Pan Zhang; Qinggang Li; Yijing Wu; Yawen Zhang; Bo Zhang; Hao Zhang
Journal:  Sci Rep       Date:  2022-02-18       Impact factor: 4.379

7.  Comparative Proteomic Profiling: Cellular Metabolisms Are Mainly Affected in Senecavirus A-Inoculated Cells at an Early Stage of Infection.

Authors:  Fuxiao Liu; Bo Ni; Rong Wei
Journal:  Viruses       Date:  2021-05-31       Impact factor: 5.048

8.  Transcriptomic and proteomic analyses of ovarian follicles reveal the role of VLDLR in chicken follicle selection.

Authors:  Qiuyue Chen; Yiya Wang; Zemin Liu; Xiaoli Guo; Yi Sun; Li Kang; Yunliang Jiang
Journal:  BMC Genomics       Date:  2020-07-16       Impact factor: 3.969

9.  TMT-based quantitative proteomics analysis reveals the key proteins related with the differentiation process of goat intramuscular adipocytes.

Authors:  Yu Du; Yong Wang; Qing Xu; Jiangjiang Zhu; Yaqiu Lin
Journal:  BMC Genomics       Date:  2021-06-05       Impact factor: 3.969

10.  Proteomic and Transcriptomic Analyses Indicate Reduced Biofilm-Forming Abilities in Cefiderocol-Resistant Klebsiella pneumoniae.

Authors:  Jinfeng Bao; Lu Xie; Yating Ma; Ran An; Bing Gu; Chengbin Wang
Journal:  Front Microbiol       Date:  2022-01-03       Impact factor: 5.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.