Ontology highlight
ABSTRACT:
PROVIDER: PRJNA847946 | ENA |
REPOSITORIES: ENA
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Project description:Previous studies have evaluated pork quality by omics methods. However, proteomics coupled with metabolomics to investigate pork freshness by using pork exudates has not been reported. This study determined the changes in profiles of peptides and metabolites in exudates from pork stored at different temperatures (25, 10, 4, and -2 ℃). Multivariate statistical analysis revealed similar changes in profiles in exudates collected from pork stored at -2 and 4 ℃, and additional changes following storage at higher temperatures. We identified peptides from 7 proteins and 30 metabolites differing in abundance between fresh and spoiled pork. Significant correlations be-tween pork quality and most of the peptides from these 7 proteins and 30 metabolites were found. The present study provides insight into changes in peptide and metabolite profiles of exudates from pork during storage at different temperatures and our analysis suggest that such changes can be used as markers for pork spoilage.
2022-08-11 | PXD033970 | Pride
Project description:In order to establish the correlation between biological processes and the mechanisms of gene expression controlling beef traits formation in bovine, microarray analysis was performed to capture the differences in gene expression related to beef traits profile in Longissimus Dorsi muscle tissue between 1-month and 24-month Chinese Red Steppes. 1282 (5.6%) probes showed significant differences at the two stages in the experiment, and 1008 differential gene annotations were obtained using Capitalbio molecule annotation system. BLAST analysis revealed that 1001(78.1%) probe genes shared significant similarity in amino acid sequence with other functional genes (As of June 2009). 126 genes showing strong correlation with beef traits were gained by the GO analysis. With the KEGG analysis, 63 pathways were found to be related to beef traits which involved 73 genes. 28 genes were found in a single pathway, while 35 genes were found in 2-16 pathways respectively. The panels of transcripts and gene pathways analysis in different growth stages may be helpful for the study on beef traits formation, and the gene expression profile construction in Longissimus Dorsi muscle tissues, would make a foundation for screening candidate genes which have genetic effect on meat quality in bovine. Keywords: Microarray analysis; Beef traits; Differences of gene expression; Longissimus Dorsi muscle tissue; Chinese Red Steppe A total of 18 bulls of the same breed (Chinese Red Steppe) were included in the study; 9 were 1month old while another 9 were 24 months old and were provided by Jilin Academy of Agricultural Sciences. They were maintained in standard conditions and fed with standard diet. The bulls were humanely killed at the slaughter house of the academy, and fresh longissimus dorsi muscle tissues were obtained during slaughter, immediately frozen in liquid nitrogen and stored at -80M-BM-0C for microarray analysis.
2013-06-01 | E-GEOD-21782 | biostudies-arrayexpress
Project description:Bovine longissimus lumborum (LL) and psoas major (PM) muscles biopsy samples were collected from four carcasses (n = 4) at 45 min, 12 h, and 36 h postmortem from a commercial beef processing facility. Proteome profile variation between beef LL and PM during the early postmortem period were evaluated by tandem mass tag labeling containing ten different isobaric compounds.
2020-02-19 | PXD017535 | Pride
Project description:Beef constitutes one of the main food sources worldwide due to its high quality protein and other nutrients. Beef tenderness is one of the most important factors influencing the edible quality. To date, a large number of molecular studies have focused on the exploration of mechanisms to form beef tenderness. DNA methylation is the most studied epigenetic modification and research revealed that DNA methylation plays important roles in diverse process. However, the genome-wide DNA methylation regulation on beef quality and tenderness remains unknown. In this study, we reported the DNA methylome profiling related to divergent tenderness of beef. We found that more reads are harbored in the intron, exon and repeat elements of genes of beef. We identified the DMRs between tender and tough beef. And results showed that DNA methylation levels in different part of genome or divergent tenderness are significantly differed. Then we annotated the DMRs and identified the top pathways DMRs are involved in. Meanwhile, we also explored the relationship between DNA methylation and gene expression. This study describes the detail DNA methylome profiling related with beef quality and may provide new strategies for exploring the mechanism of beef quality.
2020-02-01 | GSE127215 | GEO