filtertips 10 ul long, bag
- Known as:
- filtertips 10 ul large, bag
- Catalog number:
- 5131060C
- Product Quantity:
- 1000
- Category:
- -
- Supplier:
- Capp
- Gene target:
- filtertips 10 long bag
Related genes to: filtertips 10 ul long, bag
- Gene:
- AHCYL2 NIH gene
- Name:
- adenosylhomocysteinase like 2
- Previous symbol:
- -
- Synonyms:
- KIAA0828, long-IRBIT, IRBIT2
- Chromosome:
- 7q32.1
- Locus Type:
- gene with protein product
- Date approved:
- 2008-01-17
- Date modifiied:
- 2019-03-26
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- Breast-fed (BF) and formula-fed (FF) pigs have different intestinal morphologies and physiologies. However, how molecular expression affects intestinal morphology is imperfectly known. We compare expression profiles and functions of miRNA, mRNA, and lncRNA in the intestines of 210-d-old BF and FF pigs. Jejunum and duodenum villus height and mucosal thickness were significantly higher in BF pigs than FF pigs (p < 0.05). Of 88 identified differentially expressed (DE) miRNAs in BF pigs, 39 were up- and 49 were down-regulated; of 117 lncRNAs, 53 were up- and 64 were down-regulated; and of 387 mRNAs, 242 were up- and 145 were down-regulated. GO and KEGG analysis revealed overlapping DE mRNA corresponding genes and target genes of DE miRNA and lncRNA to be associated with pathways involved in cold-induced thermogenesis, digestion, and xenobiotics metabolism. Gene families (e.g., UGT, ABC, AHCY and SLC) potentially involved in intestinal morphological development are identified. Further analysis indicates that the CYP1A1-LOC100515741/LOC100622246/LOC100739163 and AHCYL2-miR-145-3p network may regulate the development of intestinal morphology in pigs. Collectively, these results improve our understanding of the possible long-term health effects of specific alterable early-life risk factors and exposures. - Source: PubMed
Publication date: 2026/05/17
Huang YuzhiXu LanmengHuang YuluYan QingHe HangZhang Jie - The survival differences between splenic flexure cancer (SFC) and descending colon cancer (DCC) are unclear owing to their distinct anatomic and molecular features. This study compares their survival outcomes and genetic differences using data from the Surveillance, Epidemiology, and End Results (SEER) and The Cancer Genome Atlas (TCGA) databases. - Source: PubMed
Publication date: 2026/03/19
Wang ZiqiangShen XuanXie YangyangLi XiaowenChu WeijianDu Danwei - Wooden breast (WB) is a prevalent meat quality defect in broilers, characterized by muscle hardness, and reduced functionality. To investigate its molecular basis, we applied an integrated multi-omics strategy combining untargeted metabolomics, proteomics, and phosphoproteomics. By integrating these datasets, our study offers more comprehensive understanding of the protein and signaling landscape in WB compared to previous approaches. Metabolomic showed an energy crisis marked by ATP depletion. Proteomic revealed downregulation of glycolytic, tricarboxylic acid cycle, and oxidative phosphorylation, indicating metabolic dysfunction. Machine learning identified five candidate biomarkers (GOLGA2, AHCYL2, L1CAM, PTRH2, GOLPH3). Phosphoproteomic analysis detected 4348 sites and highlighted RHOA/ROCK signaling pathway activation, suggesting roles in cytoskeletal remodeling and fibrosis. Integrated analyses revealed that WB is associated with impaired energy metabolism, calcium dysregulation, ER stress, and fibrotic progression. These findings provide mechanistic insights and identify potential molecular targets to improve meat quality and reduce economic losses. - Source: PubMed
Publication date: 2025/12/16
Ding CongRen MeijuanLi ZhixuanLiu ShiqiSun HaomingYu SijiaChen YiweiLi XingyuNiu QiangLi BingLi LiYang XiaojunSun Qingzhu - IRBIT1 and IRBIT2 (collectively, the IRBITs) are signaling molecules with great universality in their expression (ubiquitous distribution in all major tissues in animals) and considerable versatility in their biological functions. Structurally, the IRBITs are highly homologous to S-adenosyl-L-homocysteine hydrolase (AHCY). However, the IRBITs had lost the catalytic activity during the evolution but gained new functions by the addition of a unique N-terminal IRBIT domain. By direct protein interaction, the IRBITs modulate the functions of an array of target proteins of distinct biological functions, ranging from membrane channels and transporters to cytosolic protein kinase, lipid kinases, ribonucleotide reductase, etc. The interaction of the IRBITs with specific target proteins is modulated by the redox couple NAD/NADH. The IRBITs are involved in the regulation of many cellular processes, such as Ca signaling, intracellular pH regulation, transepithelial transport of electrolytes and fluid, apoptosis, and DNA metabolism. However, what we have known about the IRBITs is likely just the tip of the iceberg. The present review covers the expression and distribution, physiological and pathological roles, and the structural organization of the IRBITs. It provides a comprehensive review on the binding partners of the IRBITs. Finally, the review addresses the evolution of the IRBITs in reference to the evolution of AHCY. - Source: PubMed
Publication date: 2025/05/30
Liu YingFeng XuhuiWu HanGui TianxiangFu MingfengLuo XudongZhao LeiChen Li-Ming - Stomach adenocarcinoma (STAD) is a common malignancy with high heterogeneity and a lack of highly precise treatment options. We downloaded the multiomics data of STAD patients in The Cancer Genome Atlas (TCGA)-STAD cohort, which included mRNA, microRNA, long non-coding RNA, somatic mutation, and DNA methylation data, from the sxdyc website. We synthesized the multiomics data of patients with STAD using 10 clustering methods, construct a consensus machine learning-driven signature (CMLS)-related prognostic models by combining 10 machine learning methods, and evaluated the prognosis models using the C-index. The prognostic relationship between CMLS and STAD was assessed using Kaplan-Meier curves, and the independent prognostic value of CMLS was determined by univariate and multivariate regression analyses. we also evaluated the immune characteristics, immunotherapy response, and drug sensitivity of different CMLS groups. The results of the multiomics analysis classified STAD into three subtypes, with CS1 resulting in the best survival outcome. In total, 10 hub genes (CES3, AHCYL2, APOD, EFEMP1, CYP1B1, ASPN, CPE, CLIP3, MAP1B, and DKK1) were screened and constructed the CMLS was significantly correlated with prognosis in patients with STAD and was an independent prognostic factor for patients with STAD. Using the CMLS risk score, all patients were divided into a high CMLS group and a low CMLS group. Patients in the low-CMLS group had better survival, more enriched immune cells, and higher tumor mutation load scores, suggesting better immunotherapy responsiveness and a possible "hot tumor" phenotype. Patients in the high-CMLS group had a significantly poorer prognosis and were less sensitive to immunotherapy but were likely to benefit more from chemotherapy and targeted therapy. In this study, 10 clustering methods and 10 machine learning methods were combined to analyze the multiomics of STAD, classify STAD into three subtypes, and constructed CMLS-related prognostic model features, which are important for accurate management and effective treatment of STAD. - Source: PubMed
Publication date: 2025/01/30
Wang MiaodongHe QinChen ZeshanQin Yijue