Intramuscular adipose tissue physically restricts functional muscle recovery
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1241776 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR32859015_1.fastq.gz | Fastqsanger.gz | |||
| SRR32859015_2.fastq.gz | Fastqsanger.gz | |||
| SRR32859016_1.fastq.gz | Fastqsanger.gz | |||
| SRR32859016_2.fastq.gz | Fastqsanger.gz | |||
| SRR32859017_1.fastq.gz | Fastqsanger.gz |
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Project description:Abstract Background: Intramuscular fat refers to the white adipose tissue deposited between muscle fibers, and its quantity and distribution directly impact the quality and value of beef. Compared to subcutaneous fat, intramuscular fat develops later and accumulates more slowly in cattle. The reasons for the delayed development and slower growth of intramuscular fat in cattle remain unclear. Results: Histological analysis showed that adipocytes in intramuscular fat were smaller than those in subcutaneous fat from the same mature cattle, indicating a delayed development or slower growth of intramuscular fat compared to subcutaneous fat. Intramuscular fat had a lower capacity for retaining or incorporating long-chain fatty acids into triglycerides than subcutaneous fat. Comparing the transcriptomes of intramuscular and subcutaneous fat by RNA sequencing identified more than 1,000 genes differentially expressed (DEGs) between the two adipose depots. Genes upregulated in intramuscular fat included FOXO6, SLC27A1, HDAC9, WWTR1, and PIK3C2A, which are known to inhibit adipose tissue development and growth. Genes downregulated in intramuscular fat included FABP4, AGPAT2, ADIG, ADIRF, and PLIN2, which are known to promote adipose tissue development and growth. Functional enrichment analyses of these DEGs suggested that intramuscular fat may have a lower capacity for fatty acid binding and adipogenesis compared to subcutaneous fat. Furthermore, genes downregulated in intramuscular fat were enriched in signaling pathways such as the PPAR signaling pathway, whereas genes upregulated in intramuscular fat were enriched in pathways including the Wnt signaling pathway. Stromal vascular fraction (SVF) cells from intramuscular fat exhibited a lower adipogenic potential than those from subcutaneous fat. Conclusion: Multiple factors may contribute to the delayed and slower deposition of intramuscular fat compared to subcutaneous fat in cattle, including reduced fatty acid binding capacity, lower triglyceride synthesis, and decreased adipogenesis in intramuscular fat. These differences are possibly driven by lower expressions of genes such as AGPAT2, FABP4, and ADIG, higher expression of genes such as FOXO6, HDAC9, and SLC27A1, reduced activation of the PPAR signaling pathway, and increased activation of the Wnt signaling pathway in intramuscular fat.
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Project description:Long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs), which were proved to play a crucial role in regulating cell differentiation and tissue development. However, the expression profiles of different RNAs, such as mRNA, lncRNAs, and circRNAs in different adipose tissues, are still largely unclear. To shed light on this issue, we performed the systematic analysis of mRNAs, lncRNAs, and circRNAs obtained from intramuscular adipose tissues (IAT), subcutaneous adipose tissues (SAT), visceral adipose tissues (RPAT), and mesenteric adipose tissues (MAT) tissues of Chinese Erhualian pigs using high-throughput sequencing. A total of 1,695, 1,878, 494, 1,300, 902, and 355 differentially expressed (DE) mRNAs, 318, 399, 192, 251, 249, and 347 DE lncRNAs, 1,367, 1,007, 999, 1,153, 1,256, and 837 DE circRNAs were identified in IAT versus SAT, IAT versus RPAT, SAT versus RPAT, MAT versus IAT, MAT versus SAT, and MAT versus RPAT, respectively. Gene ontology (GO) enrichment analyses showed these DE genes were mainly involved in lipid metabolic and immune response. Next the co-expression network construction of mRNAs-lncRNAs revealed several key lncRNAs such as MSTRG.604204 and MSTRG.604206 might associated with lipid metabolic. Tissue specific analysis indicated that circRNA exhibited the highest tissue specificity than lncRNA and mRNA, and the IAT had the most tissue specific lncRNA, mRNA, and circRNA compared with other tissues. Taken together, this study gives us a novel clue to the role of mRNAs, lncRNAs and circRNAs in fat metabolism, thus improving our understanding of the regulation mechanism of different gene expression profiles in adipose deposition
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