Beef quality with different intramuscular fat content and proteomic analysis using isobaric tag for relative and absolute quantitation of differentially expressed proteins

This review considers the unique characteristics of Chinese cattle and intramuscular fat content (IMF) as factors influencing meat quality, including tenderness, flavor, and juiciness of meat. Due to its nutritional qualities, meat contributes to a healthy and balanced diet. The intramuscular fat content and eating quality of beef are influenced by many factors, which can generally be divided into on-farm and pre-slaughter factors (breed, sex of cattle, age at slaughter, housing system, diet, and pre-slaughter handling) and postmortem factors (post-slaughter processing, chilling temperature, and packaging). Meat quality traits can also be influenced by the individual genetic background of the animal. Worldwide, the function of genes and genetic polymorphisms that have potential effects on fattening of cattle and beef quality have been investigated. The use of DNA markers is recognized as a powerful and efficient approach to achieve genetic gain for desirable phenotypic characteristics, which is helpful for economic growth. The polymorphisms of the SIRT4, SIRT6, SIRT7, CRTC3, ABHD5, KLF6, H-FABP, and ELOVL6 genes for body and growth characteristics of cattle, and also for beef quality, are considered with the aim of highlighting the significance of beef intramuscular fat content, and that growth, body, and meat quality characteristics are polygenically regulated.

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Identification of differentially expressed genes in longissimus muscle of pigs with high and low intramuscular fat content using RNA sequencing

Animal Genetics ◽

10.1111/age.12518 ◽

2016 ◽

Vol 48 (2) ◽

pp. 166-174 ◽

Cited By ~ 15

Author(s):

K. S. Lim ◽

K. T. Lee ◽

J. E. Park ◽

W. H. Chung ◽

G. W. Jang ◽

...

Keyword(s):

Rna Sequencing ◽

Differentially Expressed Genes ◽

Intramuscular Fat ◽

Fat Content ◽

Differentially Expressed ◽

Longissimus Muscle ◽

Intramuscular Fat Content

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Mass Spectrometry-based Label-free Quantitative Proteomic Analysis of CCl4-induced Acute Liver Injury in Mice Intervened by Total Glycosides from Ligustri Lucidi Fructus

Current Proteomics ◽

10.2174/1570164617999200728192812 ◽

2020 ◽

Vol 17 ◽

Author(s):

Qian Lu ◽

Hai-Zhu Xing ◽

Nian-Yun Yang

Keyword(s):

Insulin Resistance ◽

Liver Injury ◽

Protein Expression ◽

Signaling Pathway ◽

Proteomic Analysis ◽

Acute Liver Injury ◽

Liver Cells ◽

Differentially Expressed ◽

Liver Protein ◽

Differentially Expressed Proteins

Background: CCl4 acute liver injury (ALI) is a classical model for experimental research. However, there are few reports involved in the fundamental research of CCl4-induced ALI Ligustri Lucidi Fructus (LLF) are and its prescription have been used to treat hepatitis illness clinically. LLF and its active ingredients displayed anti-hepatitis effects, but the mechanism of function has not been fully clarified Objective: To investigate the proteomic analysis of CCl4-induced ALI, and examine the effects of active total glycosides (TG) from LLF on ALI of mice4, including histopathological survey and proteomic changes of liver tissues, and delineate the possible underlying mechanism. Methods: CCl4 was used to produce ALI mice model. The model mice were intragastrically administrated with TG and the liver his-topathological changes of mice were examined. At the end of test, mice liver samples were collected, after protein denaturation, re-duction, desalination and enzymatic hydrolysis, identification was carried out by nano LC-ESI-OrbiTrap MS/MS technology. The data was processed by Maxquant software. The differentially-expressed proteins were screened and identified, and their biological information was also analyzed based on GO and KEGG analysis. Key protein expression was validated by Western blot analysis Results: A total of 705 differentially-expressed proteins were identified during the normal, model and administration group. 9 signifi-cant differential proteins were focused based on analysis. Liver protein expression changes of CCl4-induced ALI mice were mainly involved in several important signal channels, namely FoxO signaling pathway, autophagy-animal, insulin signaling pathway. TG has anti-liver damnification effect in ALI mice, the mechanism of which is related to FoxO1 and autophagy pathways Conclusion: CCl4 inhibited expression of insulin-Like growth factor 1 (Igf1) and 3-phosphoinositide-dependent protein kinase 1 (Pdpk1) in liver cells and induced insulin resistance, thus interfered with mitochondrial autophagy and regeneration of liver cells and the metabolism of glucose and lipid, and caused hepatic necrosis in mice. TG resisted liver injury in mice. TG adjusted the expression level of key proteins Igf1 and Pdpk1 after liver injury and improved insulin resistance, thus promoted autophagy and resisted the liver damage

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Label-free quantitative proteomic analysis of the inhibition effect of Lactobacillus rhamnosus GG on Escherichia coli biofilm formation in co-culture

Proteome Science ◽

10.1186/s12953-021-00172-0 ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Huiyi Song ◽

Ni Lou ◽

Jianjun Liu ◽

Hong Xiang ◽

Dong Shang

Keyword(s):

Escherichia Coli ◽

Proteomic Analysis ◽

Biofilm Formation ◽

Lactobacillus Rhamnosus ◽

Differentially Expressed ◽

Differentially Expressed Proteins ◽

Label Free ◽

Quantitative Proteomic Analysis ◽

E Coli ◽

Protein Ubiquitination

Abstract Background Escherichia coli (E. coli) is the principal pathogen that causes biofilm formation. Biofilms are associated with infectious diseases and antibiotic resistance. This study employed proteomic analysis to identify differentially expressed proteins after coculture of E. coli with Lactobacillus rhamnosus GG (LGG) microcapsules. Methods To explore the relevant protein abundance changes after E. coli and LGG coculture, label-free quantitative proteomic analysis and qRT-PCR were applied to E. coli and LGG microcapsule groups before and after coculture, respectively. Results The proteomic analysis characterised a total of 1655 proteins in E. coli K12MG1655 and 1431 proteins in the LGG. After coculture treatment, there were 262 differentially expressed proteins in E. coli and 291 in LGG. Gene ontology analysis showed that the differentially expressed proteins were mainly related to cellular metabolism, the stress response, transcription and the cell membrane. A protein interaction network and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analysis indicated that the differentiated proteins were mainly involved in the protein ubiquitination pathway and mitochondrial dysfunction. Conclusions These findings indicated that LGG microcapsules may inhibit E. coli biofilm formation by disrupting metabolic processes, particularly in relation to energy metabolism and stimulus responses, both of which are critical for the growth of LGG. Together, these findings increase our understanding of the interactions between bacteria under coculture conditions.

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