Pan Cuili, Yang Chaoyun, Wang Shuzhe, Ma Yun
School of Agriculture, Ningxia University, Yinchuan, China.
Key Laboratory of Ruminant Molecular and Cellular Breeding, Ningxia Hui Autonomous Region, Ningxia University, Yinchuan, China.
Front Genet. 2022 Feb 14;13:790690. doi: 10.3389/fgene.2022.790690. eCollection 2022.
Fat is a tissue that not just stores energy and plays a protective role; it is also a vital endocrine organ that generates and integrates signals to influence metabolism. Meanwhile, the excessive accumulation of lipids in adipose tissue can lead to metabolic disturbance and diseases. To date, the complicated molecular mechanisms of bovine adipose tissue are still unknown. This study aimed to identify key genes and functionally enriched pathways in various adipose tissue types. The RNAseq data of 264 samples were downloaded from Gene Expression Omnibus (GEO) and analyzed by weighted gene co-expression network analysis (WGCNA). We identified 19 modules that significantly associated with at least one adipose tissue type. The brown module from GSE39618 was most closely associated with intramuscular fat tissue, which contained 550 genes. These genes were significantly enriched in pathways that related to inflammation and disease, such as TNF signaling pathway, IL-17 signaling pathway, and NF-kappa B signaling pathway. The pink module (GSE39618) that contained 58 genes was most closely associated with omental fat tissue. The turquoise (GSE39618), blue (GSE116775), and yellow (GSE65125) module were most closely associated with subcutaneous fat tissue. Genes in these modules were significantly enriched in pathways related to fat metabolism, such as the PPAR signaling pathway, fatty acid metabolism and PI3K-Akt signaling pathway. At last, key genes for intramuscular fat ( and ), omental fat ( and ), and subcutaneous fat (, , , etc.) were obtained and verified. In addition, it was found that and might be potential genes to distinguish adipose and muscle. The study applied WGCNA to generate a landscape of adipose tissue and provide a basis for identifying potential pathways and hub genes of different adipose tissue types.
脂肪是一种不仅能储存能量并起到保护作用的组织;它还是一个重要的内分泌器官,能产生并整合信号以影响新陈代谢。与此同时,脂肪组织中脂质的过度积累会导致代谢紊乱和疾病。迄今为止,牛脂肪组织复杂的分子机制仍不清楚。本研究旨在鉴定不同脂肪组织类型中的关键基因和功能富集通路。从基因表达综合数据库(GEO)下载了264个样本的RNA测序数据,并通过加权基因共表达网络分析(WGCNA)进行分析。我们鉴定出19个与至少一种脂肪组织类型显著相关的模块。来自GSE39618的棕色模块与肌内脂肪组织关系最为密切,其中包含550个基因。这些基因在与炎症和疾病相关的通路中显著富集,如肿瘤坏死因子信号通路、白细胞介素-17信号通路和核因子κB信号通路。包含58个基因的粉色模块(GSE39618)与网膜脂肪组织关系最为密切。蓝绿色(GSE39618)、蓝色(GSE116775)和黄色(GSE65125)模块与皮下脂肪组织关系最为密切。这些模块中的基因在与脂肪代谢相关的通路中显著富集,如过氧化物酶体增殖物激活受体信号通路、脂肪酸代谢和磷脂酰肌醇-3激酶-蛋白激酶B信号通路。最后,获得并验证了肌内脂肪(和)、网膜脂肪(和)以及皮下脂肪(、、等)的关键基因。此外,发现和可能是区分脂肪和肌肉的潜在基因。该研究应用WGCNA生成了脂肪组织图谱,并为鉴定不同脂肪组织类型的潜在通路和枢纽基因提供了依据。