ACOT7 siRNA_Lentivectors
- Known as:
- ACOT7 siRNA_Lentivectors
- Catalog number:
- i000413d
- Product Quantity:
- 500ng
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ACOT7 siRNA_Lentivectors
Ask about this productRelated genes to: ACOT7 siRNA_Lentivectors
- Gene:
- ACOT7 NIH gene
- Name:
- acyl-CoA thioesterase 7
- Previous symbol:
- -
- Synonyms:
- BACH, ACH1, ACT, CTE-II, LACH1, MGC1126, hBACH
- Chromosome:
- 1p36.31
- Locus Type:
- gene with protein product
- Date approved:
- 2005-09-07
- Date modifiied:
- 2016-10-05
Related products to: ACOT7 siRNA_Lentivectors
Related articles to: ACOT7 siRNA_Lentivectors
- Invasive Ductal Carcinoma (IDC), which is the most common histological subtype of breast cancer, is highly aggressive and progresses rapidly. Acyl-CoA thioesterase 7 (ACOT7) is a key regulator of cell survival, the cell cycle, and lipid and glucose metabolism. However, the mechanism of ACOT7 in IDC is still unclear. Our study aims to investigate the clinical significance of ACOT7 in IDC. - Source: PubMed
Publication date: 2026/02/25
Song ChonghuiQuan YinglanShan YuxinChen YantongDu JuanLi KunweiLi Ning - The ciliary muscle, a critical intraocular smooth muscle, plays a potent role in ocular accommodation. Investigating the potential detrimental effects on the ciliary muscle during prolonged contraction and precise mechanism underlying the cell damage hold significance in treating ciliary muscle dysfunction. The effect and mechanism of vitamin E (VitE), an antioxidant, in mitigating these adverse effects of prolonged contraction remains to be thoroughly elucidated. - Source: PubMed
Cao HuijieWu JiaxueXiang YongguoGao XiangKou JiaojiaoCheng HongTan YixinWan WenjuanLiang LiangKang JuanZheng ShijieHu Ke - Huanghuai sheep, a newly developed meat-specialized breed in China, are valued for their rapid growth and high meat quality, but the optimal slaughter age and the molecular basis of these traits remain poorly understood. Gaining insight into these mechanisms is vital for improving production efficiency and guiding molecular breeding in this economically important breed. Although previous studies have described the phenotypic characteristics of Huanghuai sheep, the genetic regulatory networks controlling muscle growth and meat quality at different developmental stages remain unclear. No thorough analysis of growth traits and transcriptomic variations across key age points has been conducted. Therefore, in this study, we aimed to evaluate how growth stage influences muscle development, carcass characteristics, and meat quality in Huanghuai sheep by integrating phenotypic characterization with transcriptomic profiling to identify key genes and molecular pathways underlying these economically important traits throughout development. Sixty Huanghuai sheep were assigned to three groups (twenty per group) representing key developmental stages (3, 9, and 18 months of age). Carcass traits and meat quality were evaluated. RNA sequencing of the muscle was performed to identify differentially expressed genes (DEGs), followed by bioinformatics analysis and experimental validation. The results indicated that the 9-month-old sheep presented a favorable balance of dressing percentage and intramuscular unsaturated fatty acid content, while those aged 18 months old exhibited the highest dressing percentage (61.23%). Transcriptome analysis identified 1395 DEGs ( < 0.05 and |log2FC| > 1) and enrichment analysis revealed key pathways involved in thyroid hormone synthesis, skeletal muscle satellite cell proliferation, and skeletal muscle tissue growth. Several candidate genes for muscle development (e.g., , , ) and meat quality (e.g., , , ) were identified and validated. Their expression patterns showed significant correlations between critical growth performance and fatty acid composition metrics. These findings provide novel insights into the molecular networks regulating economically important traits in Huanghuai sheep, offering valuable targets for future molecular breeding programs aimed at enhancing productivity and meat quality. - Source: PubMed
Publication date: 2025/12/15
Han WanliSong MengkeGao FuxianHan HaoyuanShi HuibinQuan KaiLi Jun - Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma, accounting for 30-40% of newly diagnosed cases globally. Although the R-CHOP regimen effectively cures 60-70% of patients, 30-40% of patients relapse or develop resistance, highlighting the need for new biomarkers to improve prognosis and therapeutic strategies. Members of the Acyl-CoA thioesterase (ACOT) family are known to regulate various cellular processes, including lipid metabolism, inflammation, and cancer progression. However, the role of ACOT7 in DLBCL remains unclear. In this study, we investigated the expression and function of ACOT7 in DLBCL. Using public database analysis and functional experiments, we found that ACOT7 is highly expressed in DLBCL tissues and is associated with poor patient prognosis. Silencing ACOT7 in DLBCL cell lines significantly inhibited cell proliferation, invasion, and regulated genes associated with epithelial mesenchymal transition (EMT), while promoting apoptosis and G0/G1 cell cycle arrest. Furthermore, we identified sterol regulatory element binding transcription factor 2 (SREBF2) as a transcriptional regulator of ACOT7, demonstrating that SREBF2 upregulates ACOT7 expression and promotes DLBCL progression. Our findings suggest that the SREBF2-ACOT7 axis plays a critical role in DLBCL by promoting tumor cell growth, invasion, and survival. ACOT7 could serve as a potential prognostic biomarker and therapeutic target for DLBCL, providing new insights into the molecular mechanisms of this aggressive lymphoma. - Source: PubMed
Publication date: 2025/12/07
Wang HuanYao XiaoweiWu ShujunHeng JianruCheng YaliLi Ling - Glioblastoma (GBM) is a highly aggressive brain tumor with limited treatment options and poor survival. Mitochondrial dysfunction and metabolic reprogramming, particularly the Warburg effect, are increasingly recognized as critical drivers of GBM progression. Here, we integrated single-cell (scRNA-seq) and bulk RNA-sequencing (bulk RNA-seq) data to comprehensively examine mitochondria-associated genes in GBM. We identified differentially expressed mitochondrial genes with prognostic significance and constructed a 9-gene risk signature—ACOT7, THEM5, MTHFD2, ABCB7, PICK1, PDK3, ARMCX6, GSTK1, and SSBP1—using LASSO and Cox regression. This signature robustly stratified patients into high- and low-risk groups in both The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) cohorts, remaining an independent prognostic factor in multivariate analyses. Time-dependent ROC AUCs were 0.729, 0.813, and 0.828 at 1, 2, and 3 years in TCGA, and 0.597, 0.650, and 0.546 in CGGA. A nomogram integrating the signature with clinical variables achieved AUCs of 0.649, 0.820, and 0.854 at 1, 3, and 5 years, with good 1/2/3-year calibration. Functional enrichment and clustering analyses revealed distinct metabolic phenotypes and survival differences between subtypes. Single-cell pseudotime analysis showed a transition from oxidative phosphorylation to glycolysis in malignant cells, aligning with the Warburg effect and implicating metabolic reprogramming in immune modulation. Our findings underscore the prognostic value of mitochondria-associated genes and suggest potential therapeutic targets for disrupting GBM metabolism. Overall, these results establish a mitochondria-centric prognostic model supported by single-cell context; findings are hypothesis-generating and warrant prospective and experimental validation. - Source: PubMed
Publication date: 2025/10/27
Wang FangyuanHuo AoLi MingheZhao ChenglinGuo YupeiJing ZhouWang QingyiLu BingqiLi HaoLiang WulongHu WeihuaFu Xudong