Ask about this productRelated genes to: HS3ST1 antibody
- Gene:
- HS3ST1 NIH gene
- Name:
- heparan sulfate-glucosamine 3-sulfotransferase 1
- Previous symbol:
- -
- Synonyms:
- 3OST1
- Chromosome:
- 4p15.33
- Locus Type:
- gene with protein product
- Date approved:
- 1999-05-05
- Date modifiied:
- 2016-10-05
Related products to: HS3ST1 antibody
Related articles to: HS3ST1 antibody
- Sheep production contributes to a secure and diverse food and fibre supply in the United States, with growing ethnic diversity strengthening demand. Katahdin is a composite hair-type sheep breed developed in the United States that has become the most popular breed in many regions of the country and the first one to have genomic selection implemented in its breeding program. Therefore, the main objectives of this study were to estimate variance components of reproductive traits, including number of lambs born (NLB), number of lambs weaned (NLW), age at first lambing (AFL), and interval from first to second lambing (LI), in Katahdin sheep using the AIREML method and the single-step Genomic Best Linear Unbiased Prediction (ssGBLUP) approach, and to identify genomic regions and candidate genes associated with these traits. The datasets used consisted of 127,536 animals in the pedigree, phenotypic records of 56,128 parities from 24,067 ewes, and genomic data from 10,032 animals with 30,308 single-nucleotide polymorphisms (SNP) after quality control. Analyses were performed using the BLUPF90 family of programs. We observed low heritability estimates for all studied traits (0.09 ± 0.00 for NLB, 0.08 ± 0.00 for NLW, 0.09 ± 0.01 for AFL, and 0.08 ± 0.01 for LI). The genetic correlations between the traits ranged from 0.17 ± 0.02 (AFL and LI) to 0.79 ± 0.02 (NLB and NLW). All traits were found to be highly polygenic with all 14 significant SNP on eight (OAR) chromosomes (3, 6, 7, 8, 9, 12, 13, and 15) having small effects on the total variability on the traits. These SNP were located near or within 18 candidate genes: four genes associated with NLB (AAK1, GFPT1, SLC23A2, and GDAP1), four with NLW (ARHGAP18, TTLL2, UNC93A, and GPR31), six with AFL (NAP1L5, FAM13A, HS3ST1, CCDC181, NME7, and BLZF1), and four with LI (TAF4, CDH4, CADM1, and SEL1L). These candidate genes have been previously associated with fertility, embryonic development, growth, disease resistance, and climatic adaptation traits. Our findings indicate that fertility and reproduction traits in Katahdin sheep can be improved through direct genetic selection. Genetic improvement for these traits will benefit from genomic selection as more accurate estimates of breeding values for selection candidates can be obtained at a younger age. Although the studied traits are influenced by a complex interplay of genetic and environmental factors, the candidate genes identified enabled a better understanding of the biological mechanisms underlying reproductive performance in Katahdin sheep. - Source: PubMed
Publication date: 2026/03/30
Ospina Alejandra ToroLewis Ronald MFreking Bradley ABurke Joan MMurphy Thomas WWilson Carrie SBrito Luiz F - Schizophrenia (SCZ) is a complex psychiatric disorder, and its pathogenic mechanisms are not yet fully understood. The identification of reliable blood biomarkers and molecular subtypes for early diagnosis and effective therapy remains a significant challenge. To address this issue, we utilized a combination of bioinformatics and machine learning (ML) to identify potential biomarkers for SCZ. Our approach involved the integration of 12 different ML algorithms to develop a diagnostic signature based on data from several datasets, including GSE18312, GSE27383, GSE38485, GSE54913, and GSE165604. A nomogram was constructed using these datasets for potential clinical applications. In addition, clustering analysis was performed on SCZ patients using consensus clustering and non-negative matrix factorization (NMF) algorithms. We further evaluated subtype differences in biological functions and immune cells through various methods, such as gene set enrichment analysis (GSEA), gene set variation analysis (GSVA), Proteomaps, and IOBR analyses. Our results identified a diagnostic signature composed of 16 genes (APBB2, CLCN1, SYDE1, PAX5, SNAI1, DAZL, UNC93B1, PLAGL2, HS3ST1, ITPKB, PILRA, BTLA, SWAP70, AZI2, ADM, and AVPR2), which demonstrated robust performance in diagnosing SCZ across eight different datasets. A nomogram based on these genes was created, providing clinical benefits for SCZ patients. Among the identified genes, AZI2 was found to be the most critical, influencing inflammation and immunity. We also identified potential chemical compounds that could target these 16 genes. Unsupervised clustering and NMF algorithms revealed two distinct subtypes of SCZ, each associated with unique immune cell profiles, biological functions, and protein expression levels. In conclusion, this study not only developed a diagnostic signature and a novel nomogram for SCZ but also provided new insights into the subtypes of SCZ. These findings may pave the way for personalized diagnosis and treatment strategies for SCZ patients. - Source: PubMed
Publication date: 2026/03/24
Li ZhijunSun QingLi HaoyuGuan NaiyuNi JingWang JingXu XiaoleiShen YeSun SiyuLi Yan - The potential role of artificial sweeteners in eosinophilic esophagitis (EoE) remains poorly understood. This study aimed to investigate the molecular mechanism by which saccharin might exacerbate EoE. We integrated network toxicology with machine learning approaches to identify core pathogenic genes of EoE. The interactions between saccharin and the predicted targets were validated via molecular docking, molecular dynamics (MD) simulations, and surface plasmon resonance (SPR). Our analysis identified MAPK3, CPS1, and HS3ST1 as potential EoE-related targets of saccharin. Molecular docking demonstrated strong binding affinities between saccharin and these proteins, which was confirmed by stable binding via molecular dynamics simulations. Further SPR analysis revealed that saccharin binds directly to MAPK3. This study demonstrated that saccharin potentially aggravates EoE by directly targeting MAPK3 to activate pro-inflammatory pathways, highlighting a novel dietary risk factor and underscoring the need for a safe reevaluation for susceptible populations. - Source: PubMed
Publication date: 2026/01/07
Yang YuanGuo TaoLi PeiyuanGao KangleNing XufengZhou LingshanZhou WeiweiZeng Bin - Could cephalosporin antibiotics, extending beyond their established antimicrobial role, be repurposed as precision anticancer agents and chemosensitizers, particularly against inflammation-driven carcinogenesis? To address this question, this study systematically evaluated the anti-colorectal cancer efficacy of cephalosporins both as monotherapies and in synergistic combinations, elucidating their underlying molecular mechanisms. Employing combinatorial phenotypic screening (viability, cell cycle, apoptosis, colony formation), BALB/c nude mouse xenografts, and omics profiling (RNA-seq, RT-qPCR), we identified conserved anticancer pathways and core regulatory axes. Among 18 evaluated cephalosporins, therapeutic specificity was largely associated exclusively variable side-chain moieties, not the conserved β-lactam core. Cefamandole nafate (CAN) and cefuroxime sodium (CUS) demonstrated potent dual efficacy against colorectal cancer model while enhancing cisplatin chemosensitivity. Building on links to inflammation-driven chemosensitization, CUS synergistically potentiated cisplatin and levofloxacin cytotoxicity in colorectal cancer. This synergy was mechanistically driven by apoptosis induction, cell cycle arrest, significant up-regulation of HMOX1 (80-fold peak in combinations; 40-fold as monotherapy) and DDIT3, coupled with down-regulation of MUC1, CASC19, KRT23, SPNS3, LFNG, HS3ST1, NCOA5, and GJB4. Crucially, we reveal for the first time that CUS significantly up-regulates HMOX1 expression in HCT116 cells in a dose-dependent manner, establishing this ferroptosis regulator as the central effector governing both intrinsic anticancer activity and chemosensitization. This study unveils the translational potential of repurposing cephalosporins for combinatorial precision oncology strategies targeting inflammation-driven cancers. - Source: PubMed
Publication date: 2025/11/21
Liu NianqiuCao WeihanTang JiefuDong RuimeiGuo JuanLuo ZhuangYao QianTeng SongLiang ZhuoxuanYang YuntaoGu MenyingZhou JieChen WenlinLiang HongminHe Xiaoqiong - : Idiopathic pulmonary fibrosis (IPF) is a progressive disease characterized by lung scarring, impaired function, and high mortality. Effective therapies to reverse fibrosis are lacking. This study aims to uncover the molecular mechanisms of IPF, explore diagnostic biomarkers, and identify therapeutic targets. : Multi-omics data were integrated to identify biomarkers with causal associations to IPF using Mendelian randomization and transcriptomic analysis. Machine learning was employed to construct a diagnostic model, and single-cell transcriptomic analysis determined gene expression patterns in fibrotic lung tissue. : Seven core genes (, , , , , , and ) were identified, showing strong diagnostic potential (AUC = 0.987, 95% CI: 0.972-0.987). These genes exhibited distinct distribution patterns in fibroblasts, endothelial cells, epithelial cells, macrophages, and dendritic cells. : This study highlights key genes driving IPF, involved in pathways related to metabolism, immunity, and inflammation. However, their utility as fluid-based biomarkers remains unproven and requires protein-level validation in prospective cohorts. By integrating genomic, immunological, and cellular insights, it provides a framework for targeted therapies and advances mechanism-based precision medicine for IPF. - Source: PubMed
Publication date: 2025/09/01
Jiang HuanyuWang ShujieZhong FanghuiShen Tao