Ask about this productRelated genes to: ACSM3 Blocking Peptide
- Gene:
- ACSM3 NIH gene
- Name:
- acyl-CoA synthetase medium chain family member 3
- Previous symbol:
- SAH
- Synonyms:
- SA
- Chromosome:
- 16p12.3
- Locus Type:
- gene with protein product
- Date approved:
- 1994-08-23
- Date modifiied:
- 2017-06-13
Related products to: ACSM3 Blocking Peptide
Related articles to: ACSM3 Blocking Peptide
- Intestinal mucosal healing is a key indicator for evaluating therapeutic efficacy and predicting long-term prognosis in ulcerative colitis (UC). Short-chain fatty acids (SCFAs) play an important role in maintaining intestinal homeostasis and promoting mucosal repair; however, their quantitative association with UC mucosal healing has not been fully elucidated. This study aimed to investigate the association between SCFA levels and endoscopic mucosal healing in UC patients and evaluate their clinical value as predictive biomarkers. - Source: PubMed
Publication date: 2026/06/13
He Ben-QiuLai Xiang-QuanYang XueZhou Jin - The river buffalo is an economically important livestock species supplying milk and meat. However, a multi-tissue transcriptomic atlas for the key dairy river buffalo breeds, Murrah and Nili-Ravi, has not yet been established, and the lack of stable reference genes has hindered in-depth studies of their biological functions and the molecular mechanisms underlying key economic traits such as lactation. We established a multi-tissue gene expression atlas across 20 tissues and identified 717 housekeeping genes (HKGs), and and were further shown to be stable candidate reference genes under the conditions tested. We found 8368 tissue-specific genes (TSGs), predominantly enriched in the reproductive system. Exploratory analysis of mammary tissue (dry-period vs. public lactating samples, confounded by batch effects) revealed mammary-enriched hub genes including ; these findings are preliminary and require validation. Dynamic analysis across lactation stages (early, peak, mid-, late) identified candidate genes including and . Phenotypic data showed strong negative correlations between milk yield and protein/fat content, and a positive correlation with lactose content. However, causal or regulatory roles were not inferred due to lack of paired individual-level data. Cross-dataset comparisons are descriptive only, and are not key conclusions. In summary, this study lays the foundation for advancing research in lactation trait genetics and functional genomics in river buffalo, with novel reference genes and lactation stage-specific transcriptional dynamics as its main contributions. - Source: PubMed
Publication date: 2026/04/30
Song XinhuiWang DongLuo XierQin ChaobinLi LingYang YanyanPi YifeiDeng YanfeiCui KuiqingLi ZhipengXu WeiLiu Qingyou - Beef flavor is a trait difficult to evaluate since different senses (taste, touch, and smell) are involved in its perception. In the last 20 years, 102 Quantitative Trait Loci (QTLs), associated with the variability of different beef flavor notes, have been reported. These QTLs are spread on all chromosomes, including BTA X. In these QTL regions, 2509 genes are located and, among them, 594 are involved in the metabolic processes of lipids, proteins, and carbohydrates, the main meat components for the production of volatile substances responsible for flavor. Only 19 of these genes (, , , , , , , , , , , , , , , , , , and ) are also present in the QTL regions affecting pork flavor. The applied approach allowed us to strongly restrict the number of candidate genes to affect the variability of both beef and pork flavor. - Source: PubMed
Publication date: 2026/03/25
Rando AndreaGrassi GiuliaPerna Anna MariaDi Gregorio Paola - Renal tubular injury plays a critical role in the progression of lupus nephritis (LN); however, the underlying mechanisms remain poorly understood. In this study, we found that CDO1 expression was significantly positively correlated with the degree of renal tubular injury in renal tissues from LN patients. Using in vitro HK-2 and TCMK-1 cells as well as an in vivo MRL/lpr mouse model, we confirmed that knockdown of CDO1 alleviated renal tubular epithelial cell injury and lipid deposition. Mechanistic studies revealed that CDO1 inhibits lipid metabolism by negatively regulating the expression of ACSM3; notably, downregulation of ACSM3 reversed the ameliorative effects of CDO1 knockdown on lipid deposition and cellular injury. Further investigation demonstrated that ACSM3 deficiency mediates lipid deposition by inducing mitochondrial morphological abnormalities and dysfunction. In summary, this study uncovers a novel mechanism by which the CDO1-ACSM3 axis mediates renal tubular lipid deposition and injury in LN through the regulation of mitochondrial function, offering a potential therapeutic target for this disease. - Source: PubMed
Publication date: 2026/03/04
Zhang ZiboLiu JinxiLiu YunheWang LiweiLi ZekunDong YanTian YuexinMiao XinyanLiu QingjuanZhang WeiGuo HuifangXing LinglingYang LinFeng XiaojuanLiu Shuxia - Lung adenocarcinoma (LUAD) displays significant morphological and molecular heterogeneity both within and between tumors. This heterogeneity, coupled with the complexities of the tumor microenvironment (TME), notably influences LUAD progression and patient prognosis. Integrating mass-spectrometry-based proteomic data from human tumors with corresponding multi-omics data opens significant opportunities for comprehensive and systematic cancer proteogenomic analyses. In our study, we analyzed LUAD proteogenomic data from the Cancer Proteome Atlas Program (CPTAC) to conduct a systematic molecular classification by integrating multi-omics data (genomic, transcriptomic, and proteomic) using ten clustering algorithms. This approach successfully identified three distinct molecular subtypes with notable biological heterogeneity: metabolic pathway activation, cell cycle pathway activation, and immune modulation. The metabolic pathway activation subtype was characterized by significant upregulation of metabolic pathways, this subtype showed enhanced mRNA expression and protein abundance of genes related to fatty acid and bile acid metabolism (e.g., MLYCD, ACSM3, ACSL5, ACSS1, and MAOA). It also exhibited a notably higher frequency of EGFR mutations compared to other subtypes. The cell cycle pathway activation subtype was defined by the activation of cell cycle signaling pathways, this subtype demonstrated amplification of the PCNA gene and significantly increased mRNA and protein expression levels of key cell cycle-related genes, such as CCNB1 and CDK1. Importantly, a high mutation frequency, copy number deletions, and downregulation of the tumor suppressor gene STK11 were observed, leading to the inactivation of its tumor suppressor function. This subtype also showed potential sensitivity to various cell cycle inhibitors. The immune modulation subtype was characterized by high immune cell infiltration and low tumor purity. This subtype exhibited multi-omics activation of the Ras signaling pathway, including MET amplification, increased GRB2 expression, decreased PEBP1 expression, and RET activating mutations. These findings suggest that this subtype may benefit from a combination of immunotherapy and targeted therapy against the Ras signaling pathway. Based on the expression profiles of 300 subtype-specific marker genes, we validated the molecular characteristics and clinical relevance of these three subtypes in the TCGA-LUAD and GSE50081 cohorts. Moreover, to enhance clinical applicability, we developed a rapid and cost-effective multi-instance model based on pathological images combined with deep learning techniques. This deep learning model demonstrated excellent performance in multi-omics subtype predictions. In, conclusion, this study systematically elucidates the molecular heterogeneity of LUAD through a multi-omics integration strategy, establishes a clinically relevant molecular classification system, and provides a theoretical foundation for developing personalized treatment plans for LUAD. - Source: PubMed
Publication date: 2026/01/29
Zhen ShijianZhang XiuyingLi QunyingLiu ZhihuanWang DongdongXi ShuxueShi ShufangTian GengYang JialiangZhao HaiwenLiu Jinyang