Ask about this productRelated genes to: PM20D2 antibody
- Gene:
- PM20D2 NIH gene
- Name:
- peptidase M20 domain containing 2
- Previous symbol:
- ACY1L2
- Synonyms:
- bA63L7.3
- Chromosome:
- 6q15
- Locus Type:
- gene with protein product
- Date approved:
- 2003-06-16
- Date modifiied:
- 2018-04-18
Related products to: PM20D2 antibody
Related articles to: PM20D2 antibody
- Skeletal muscle fiber composition strongly influences meat quality and metabolic regulation in poultry, yet fiber-type-specific responses to high-fat diet (HFD) remain poorly understood. Here, we investigated the effects of short-term and long-term HFD feeding on the fast/glycolytic pectoralis major (PEM) and slow/oxidative soleus (SOL) in Guangyuan Grey chickens. Histological staining and enzyme activity assays revealed that prolonged HFD promoted an oxidative-to-glycolytic transition in SOL, accompanied by reduced mitochondrial function, whereas the PEM showed early lipid accumulation and metabolic stress. Transcriptome sequencing identified 3840 differentially expressed genes between the two muscles, with 1761 constitutively different. Under short-term HFD, SOL activated protective pathways including PPAR and autophagy, while PEM showed limited adaptation. Long-term HFD induced further downregulation of fatty acid metabolism and structural genes (e.g., PM20D2, SLC27A1, and GADD45G) in PEM, but SOL maintained or enhanced expression of genes (e.g., NR4A3, PPARA, and SLC6A6) involved in muscle organization and lipid processing. Temporal clustering highlighted progressive divergence in transcriptional responses. These results suggest SOL fibers exhibit greater resilience to lipid overload than PEM fibers. Our findings provide insight into the molecular basis of muscle-type-specific adaptations to dietary fat and offer targets for improving metabolic health and meat quality in poultry. - Source: PubMed
Publication date: 2025/10/02
Zhang DonghaoYu SonghangLin ZhongzhenTang YuanWang YufeiXu FengWang YanLu LuWang YeLiu Yiping - Obesity represents a significant risk factor in the development of type 2 diabetes (T2D), a chronic metabolic disorder characterized by elevated blood glucose levels, and a previous step for its development. Significant sex differences have been identified in the prevalence, development, and pathophysiology of obesity and T2D; however, the underlying molecular mechanisms remain unclear. This study aims to identify sex-specific signatures in obesity and T2D and enhance our understanding of the underlying mechanisms associated with sex differences by integrating expression data. We performed a systematic review and individual transcriptomic analysis of eight selected studies which included 302 subcutaneous adipose tissue samples. Then, we conducted different gene-level meta-analyses and functional characterizations for obesity and T2D separately, identifying common and sex-specific transcriptional profiles, many of which were previously associated with obesity or T2D. The obesity meta-analysis yielded nineteen differentially-expressed genes from a sex-specific perspective (e.g., SPATA18, KREMEN1, NPY4R, and PRM3), while a comparison of the expression profiles between sexes in T2D prompted the identification and validation of specific transcriptomic signatures in males (SAMD9, NBPF3, LDHD, and EHD3) and females (RETN, HEY1, PLPP2, and PM20D2). At the functional level, we highlighted the fundamental role of the Wnt pathway in the development of obesity and T2D in females, and the roles of mitochondrial damage and free fatty acids in males. Overall, our sex-specific meta-analyses supported the detection of differentially expressed genes in males and females associated with the development of obesity and further T2D development, emphasizing the relevance of sex-based information in biomedical data and opening new avenues for research. - Source: PubMed
Publication date: 2025/03/27
Moldovan Roxana AndreeaHidalgo Marta RCastañé HelenaJiménez-Franco AndreaJoven JorgeBurks Deborah JGalán AmparoGarcía-García Francisco - This study aims to investigate the potential regulatory network responsible for the meat quality using multi-omics to help developing better varieties. Slaughter performance and meat quality of Shuxing No.1 rabbit outperformed IRA rabbit according to the tested rabbit parameters. Differentially expressed genes (DEGs) and differentially abundance proteins (DAPs) were involved in meat quality-related pathways, such as PI3K - Akt and MAPK signaling pathways. Only SMTNL1 and PM20D2 shared between DEGs and DAPs. Olfactory-sensitive undecanal, a differentially abundant metabolite (DAM) in volatilomics (vDAMs), correlated with all of the remaining 11 vDAMs, and most of 12 vDAMs were associated with amino acid metabolism. Integration revealed that 829 DEGs/DAPs were associated with 15 DAMs in four KEGG pathways, such as melatonin (a DAM in widely targeted metabolomics) was significantly positively correlated with ALDH and negatively correlated with RAB3D and CAT in the tryptophan metabolism pathway. This study sheds light on the potential mechanisms that contribute to the improved meat quality and flavor. SIGNIFICANCE: Shuxing No.1 rabbit is a new breed of meat rabbit in the Chinese market. In meat marketing, meat quality usually determines the purchase intention of consumers. Determining the biological and molecular mechanisms of meat quality in meat rabbit is essential for developing strategies to improve meat quality. According to the tested rabbit parameters, this study ascertained that the slaughter performance and meat quality of Shuxing No.1 rabbit surpasses that of IRA rabbit. The present study profiled the transcriptome, proteome, widely targeted metabolome, and volatilome of longissimus dorsi from Shuxing No.1 rabbit and IRA rabbit. The study found that meat quality and flavor-related tryptophan metabolism pathway is enriched with many DEGs/DAPs (including ALDH, RAB3D, and CAT), as well as a DAM, melatonin. This study sheds light on the potential mechanisms that contribute to the improved meat quality and flavor. - Source: PubMed
Publication date: 2024/04/22
Kuang LiangdeZeng JianhongLi YuyingZheng JieRen YongjunGuo ZhiqiangZhang XiangyuZhang CuixiaYang ChaoMei XiuliYang RuiTang LiJi YangXie XiaohongLei MinLi Congyan - The fungus Wolfiporia cocos has wide-ranging and important medicinal value, and its dried sclerotia are used as a traditional Chinese medicine. Modern studies have shown that triterpenoid, the active ingredient of W. cocos, have a variety of pharmacological effects. The aim of our research was to determine the key genes related to triterpenoid biosynthesis, which may be useful for the genetic modification of cell-engineered bacteria for triterpenoid biosynthesis. In this study, two monospore strains, DZAC-WP-H-29 (high-yielding) and DZAC-WP-L-123 (low-yielding), were selected from the sexually propagated offspring of strain 5.78 of W. cocos, and the mycelia were cultured for 17, 34, and 51 days, respectively. Weighted gene co-expression network analysis (WGCNA) method was used to analyze transcriptional expressions. The results show that eight core genes (ACAT1-b, hgsA, mvd1, SQLE, erg6, TAT, erg26, and erg11) are associated with the triterpenoid synthesis pathway, and Pm20d2 and norA outside the pathway may be important genes that influence the biosynthesis and accumulation of W. cocos triterpenoid. The biosynthesis of W. cocos triterpenoid is closely related to the expression of sterol metabolic pathway genes. The role of these genes in triterpenoid synthesis complements our knowledge on the biosynthesis and accumulation of W. cocos triterpenoid, and also provides a reference for the target gene modification of engineered bacteria for the fermentation production of triterpenoid. - Source: PubMed
Publication date: 2021/09/14
Zeng GuipingLi ZhongZhao Zhi - Fatty acid synthase (FASN) is a lipogenic enzyme that participates in tumor progression. We previously showed that FASN is dysregulated in OS malignancy, but the molecular mechanism(s) of these effects remained unclear. - Source: PubMed
Publication date: 2021/01/06
Fu DahuaLiu ShuochuanLiu JiamingChen WenzhaoLong XinhuaChen XuanyinZhou YangZheng YibinHuang Shanhu