HLC3 antibody
- Known as:
- HLC3 (anti-)
- Catalog number:
- orb101503
- Product Quantity:
- EUR
- Category:
- -
- Supplier:
- Biorbyt biorb
- Gene target:
- HLC3 antibody
Ask about this productRelated genes to: HLC3 antibody
- Gene:
- SLC4A1AP NIH gene
- Name:
- solute carrier family 4 member 1 adaptor protein
- Previous symbol:
- -
- Synonyms:
- kanadaptin, HLC3
- Chromosome:
- 2p23.3
- Locus Type:
- gene with protein product
- Date approved:
- 2000-11-09
- Date modifiied:
- 2016-02-17
Related products to: HLC3 antibody
Related articles to: HLC3 antibody
- To investigate the genetic relationship between irritable bowel syndrome (IBS) and non-alcoholic fatty liver disease (NAFLD). - Source: PubMed
Publication date: 2025/12/15
Hong JundongJi RuiWang PeichengHuang FengmingZhang FanZhou YanlinLv Bin - Camels are increasingly recognized for their potential to meet future nutritional and medical needs due to their unique qualities. This study aims to advance our understanding of the genetic basis of body size in dromedaries by employing confirmatory factor analysis (CFA) and genome-wide association studies (GWAS). We used phenotypic data from 9 body measurements of 96 Iranian male camels to develop a latent variable model for body size. The CFA model demonstrated excellent fit (CFI = 0.99, TLI = 0.99, RMSEA = 0.05, SRMR = 0.02), confirming that the selected biometric traits effectively capture the body size latent variable. Subsequent GWAS, utilizing 14,522 SNPs, identified 13 significant SNPs associated with body size across several chromosomes. The candidate genes linked to these SNPs, including UBE3D, REPS1, SLC4A1AP, EFR3B, PRR11, and VMP1, were further examined through Gene Ontology (GO) enrichment analysis, revealing their involvement in crucial biological processes such as catabolic and metabolic activities, developmental processes, and protein and lipid transport. These findings provide valuable insights into the genetic mechanisms underpinning body size in dromedaries, offering a foundation for future research and potential applications in breeding and genetic improvement strategies. - Source: PubMed
Publication date: 2025/07/08
Bitaraf Sani MortezaMokhtari MortezaRoudbari ZahraKarimi OmidAsadzadeh NaderAlmathen FaisalBanabazi Mohammad Hossein - Housekeeping, or reference genes (RGs) are, by definition, loci with stable expression profiles that are widely used as internal controls to normalize mRNA levels. However, due to specific events, such as pathological changes, or technical procedures, their expression might be altered, failing to fulfil critical normalization pre-requisites. To identify RG genes suitable as internal controls in human non-cancerous kidney tissue, we selected 18 RG candidates based on previous data and screen them in 30 expression datasets (>800 patients), including our own, publicly available or provided by independent groups. Datasets included specimens from patients with hypertensive and diabetic nephropathy, Fabry disease, focal segmental glomerulosclerosis, IgA nephropathy, membranous nephropathy, and minimal change disease. We examined both microdissected and whole section-based datasets. Expression variability of 4 candidate genes (YWHAZ, SLC4A1AP, RPS13 and ACTB) was further examined by qPCR in biopsies from patients with hypertensive nephropathy (n = 11) and healthy controls (n = 5). Only YWHAZ gene expression remained stable in all datasets whereas SLC4A1AP was stable in all but one Fabry dataset. All other RGs were differentially expressed in at least 2 datasets, and in 4.5 datasets on average. No differences in YWHAZ, SLC4A1AP, RPS13 and ACTB gene expression between hypertensive and control biopsies were detected by qPCR. Although RGs suitable to all techniques and tissues are unlikely to exist, our data suggest that in non-cancerous kidney biopsies expression of YWHAZ and SLC4AIAP genes is stable and suitable for normalization purposes. - Source: PubMed
Publication date: 2021/12/09
Strauss PhilippMikkelsen HåvardFurriol Jessica - Head and neck squamous cell carcinomas (HNSCC) includes multiple subsites that exhibit differential treatment outcome, which is in turn reflective of tumor stage/histopathology and molecular profile. This study hypothesized that the molecular profile is an accurate prognostic adjunct in patients triaged based on clinico-pathological characteristics. Towards this effect, publically available micro-array datasets (n = 8), were downloaded, classified based on HPV association (n = 83) and site (tongue n = 88; laryngopharynx n = 53; oropharynx n = 51) and re-analyzed (Genespring; v13.1). The significant genes were validated in respective cohorts in The Cancer Genome Atlas (TCGA) for correlation with clinico-pathological parameters/survival. The gene entities (n = 3258) identified from HPV based analysis, when validated in TCGA identified the subset specifically altered in HPV+ HNSCC (n = 63), with three genes showing survival impact (RPP25, NUDCD2, NOVA1). Site-specific meta-analysis identified respective differentials (tongue: 3508, laryngopharynx: 4893, oropharynx: 2386); validation in TCGA revealed markers with high incidence (altered in >10% of patients) in tongue (n = 331), laryngopharynx (n = 701) and oropharynx (n = 404). Assessment of these genes in clinical sub-cohorts of TCGA indicated that early stage tongue (MTFR1, C8ORF33, OTUD6B) and laryngeal cancers (TWISTNB, KLHL13 and UBE2Q1) were defined by distinct prognosticators. Similarly, correlation with perineural/angiolymophatic invasion, identified discrete marker panels with survival impact (tongue: NUDCD1, PRKC1; laryngopharynx: SLC4A1AP, PIK3CA, AP2M1). Alterations in ANO1, NUDCD1, PIK3CA defined survival in tongue cancer patients with nodal metastasis (node+ECS-), while EPS8 is a significant differential in node+ECS- laryngopharyngeal cancers. In oropharynx, wherein HPV is a major etiological factor, distinct prognosticators were identified in HPV+ (ECHDC2, HERC5, GGT6) and HPV- (GRB10, EMILIN1, FNDC1). Meta-analysis in combination with TCGA validation carried out in this study emphasized on the molecular heterogeneity inherent within HNSCC; the feasibility of leveraging this information for improving prognostic efficacy is also established. Subject to large scale clinical validation, the marker panel identified in this study can prove to be valuable prognostic adjuncts. - Source: PubMed
Publication date: 2019/07/16
Reddy Ram BhupalKhora Samanta SSuresh Amritha - Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data. An additional 100 variants yielded suggestive evidence of association. - Source: PubMed
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