TCF7L2 Mouse Monoclonal Antibody
- Known as:
- TCF7L2 Mouse Monoclonal Antibody
- Catalog number:
- ENZ-006934-M04
- Product Quantity:
- 0.1mg
- Category:
- -
- Supplier:
- Zyagen
- Gene target:
- TCF7L2 Mouse Monoclonal Antibody
Related genes to: TCF7L2 Mouse Monoclonal Antibody
- Gene:
- TCF7L2 NIH gene
- Name:
- transcription factor 7 like 2
- Previous symbol:
- TCF4
- Synonyms:
- TCF-4
- Chromosome:
- 10q25.2-q25.3
- Locus Type:
- gene with protein product
- Date approved:
- 1998-01-20
- Date modifiied:
- 2018-02-13
Related products to: TCF7L2 Mouse Monoclonal Antibody
Related articles to: TCF7L2 Mouse Monoclonal Antibody
- The "World Health Organization" predicts that non-communicable illnesses affect 41 million people globally, with cardiovascular disease accounting for 17.9 million and diabetes 2 million. The metabolic syndrome includes insulin resistance, hyperglycemia, high low-density lipoprotein, high triglycerides, and obesity, which contribute to coronary heart disease and type 2 diabetes. Polyphenols and carotenoids in millet help regulate blood sugar, cholesterol, blood pressure, thyroid function, colon health, obesity, and gut flora by modulating key transcription factors and epigenetic mechanisms. Further, nutrigenomics and epigenetics also highlight the potential of millets for precision nutrition, with some evidence of gene-diet interactions modulating metabolic outcomes. Regular millet consumption improves lipid profiles, insulin sensitivity, and oxidative stress, decreasing cardiovascular disease risk. Polymorphisms in the "Transcription Factor 7 Like 2 (TCF7L2)" gene affect glucose metabolism following millet consumption. Millet-based functional foods, including baby food, porridge, bread, cakes, and cookies, have a low glycemic index and help treat metabolic disorders. Their prebiotic characteristics promote gut health, which is essential for metabolic management and immune function. However, by integrating millet-based functional food, policy framework, and techno-functional framework, the present review proposes millet as a sustainable alternative functional crop in metabolic syndrome alleviation. - Source: PubMed
Publication date: 2026/09/28
Mazumder SaikatBhattacharya DebasmitaLahiri DibyajitMoovendhan MeiveluSarkar TanmayNag Moupriya - Neuroblastoma (NB) exhibits profound clinical and molecular heterogeneity, highlighting the need for reproducible biomarkers for disease stratification. This study aimed to identify robust stage-associated gene signatures through integrative machine learning (ML) and cross-platform validation. Four independent NB microarray datasets were integrated to perform a multi-cohort meta-analysis. Differentially expressed genes (DEGs) were identified using Linear Models for Microarray Data (limma), followed by feature selection through three orthogonal ML models - Random Forest (RF), eXtreme Gradient Boosting (XGBoost), and Neural Network (NN). Overlapping markers among methods were used to define a consensus gene set, which was then compared with gene expression data from the Therapeutically Applicable Research to Generate Effective Treatments - Neuroblastoma (TARGET-NBL) cohort for clinical relevance assessment. We identified a seven-gene consensus set (BIRC5, CCDC127, AW473883, BRD7, TCF7L2, GABARAPL1, and CD1E) through ML, within which TCF7L2 emerged as a critical intersection between statistical and ML frameworks. While the large-scale 632-DEG set provided the broadest prognostic coverage, the refined seven-gene signature maintained robust clinical relevance. Notably, three mapped core genes (CD1E, GABARAPL1, and TCF7L2) were independently validated as significant favorable survival-associated markers (p < 0.05) in the TARGET cohort, even after rigorous clinical adjustment for age and COG risk status. By bridging transcriptomic discovery with cross-platform validation, this study establishes a high-confidence consensus gene signature for NB. Our findings suggest that while high-dimensional signatures offer extensive predictive power, the consensus-based core genes - particularly TCF7L2 - represent reproducible candidate biomarkers associated with disease progression and patient outcome. - Source: PubMed
Publication date: 2026/09/19
Liu DanielKuo JimmyWu Yao-ChongHsieh Shang-YuHuang An RongLin Chorng-Horng - In Sri Lanka, where obesity is increasingly prevalent, evidence on gene-diet interactions involving macronutrient intake and composition remains limited. We therefore examined these interactions on obesity-related traits. - Source: PubMed
Publication date: 2026/09/09
Bineid Manahil MPerera Dilki SCrosbie ZaraChandrasekara AnandaRathnayake Kumari MVimaleswaran Karani Santhanakrishnan - Genetic variation may contribute to interindividual differences in the efficacy and tolerability of glucagon-like peptide-1 receptor agonists (GLP-1RAs), although the available evidence remains limited. Certain gene variants may underlie variability in glycemic control and weight loss outcomes among patients treated with GLP-1RAs for diabetes and/or obesity. A better understanding of these genetic variations could have significant implications for the development of personalized medicine, contributing to predicting patient responses to GLP-1RAs. Within this review, we collected and synthesized information from different studies about genetic variants that have been reported to be associated with altered therapeutic response to GLP-1RAs, mostly in , but also in and genes. For the same variants, the differences obtained in the outcomes were, however, inconsistent between studies. Such disparities may partly reflect the diversity of the outcomes analyzed, the specific GLP-1RA in use, and/or the characteristics of each population. Additional genes, such as , and , exhibited differences in at least one study. Although still limited, considering the fast expansion of the prescription of this therapeutic class, these results reflect the need for additional studies, before enabling the implementation of pharmacogenetics in clinical practice. - Source: PubMed
Publication date: 2026/09/05
Fernandes Mónica TDias Joana CEspírito-Santo MargaridaEstêvão Maria DulceDe Sousa-Coelho Ana Luísa - : Camel husbandry underpins food security in drylands, and dromedary () milk is valued as a functional food whose composition is thought to be shaped by the desert forage that camels browse. Dietary plant microRNAs (miRNAs) have been proposed as one molecular route linking diet to mammalian physiology, and two interactions are widely cited from experimental reports: rice miR168a repressing LDLRAP1 and plant miR159 repressing TCF7. The hypothesis remains contested, however, and it has not been tested for camel forage against camel transcripts. : We generated de novo, hairpin-based miRNA repertoires for three arid-zone forage plants relevant to camel feeding (, , ) and screened the mature miRNAs against 48,746 reconstructed 3'-UTRs under stringent thresholds, retaining one transcript per gene, weighting interactions by read abundance, normalising scores for 3'-UTR length, and testing over-representation against a matched background. The two previously reported cross-kingdom pairs served as internal positive controls and seed-level grouping as a sensitivity control. : The three forages yielded 170 hairpin-validated miRNA loci (81 , 49 , 40 ) peaking at 21 nt, collapsing to 116 mature sequences and 104 seed groups. The pooled read set was strongly concentrated: five mature sequences shared by all three species carried 51% of reads, miR159 alone 31%, and 19 sequences assignable to conserved miRBase families carried 64%. The pipeline recovered the reported miR168a-LDLRAP1 pairing in the camel; the miR159-TCF7 pairing, by contrast, was not recovered, although TCF7 was among the genes targeted by other plant miRNAs. Genome-wide, predicted targeting was sparse (median 2 miRNAs per gene) and no GO, KEGG or Hallmark category was enriched at either threshold (best FDR 0.56); the nominal -value distribution was approximately uniform, giving no evidence of systematic enrichment under the tested framework. Targeting multiplicity scaled with 3'-UTR length (Pearson r = 0.63; Spearman ρ = 0.58), so apparent "hub" genes are largely long-3'-UTR genes. Of 19, 12 curated milk-fat and lactation genes were among predicted targets, without over-representation (Fisher = 0.36). : A sensitive, species-matched analysis recovered a previously reported cross-kingdom pairing yet found no coordinated enrichment of dietary plant miRNAs on the dromedary transcriptome, and showed that an individual cross-kingdom pairing cannot be assumed to transfer between mammalian species. The work provides a first forage miRNA resource in the context of camel nutrition, sets out a reusable, species-matched analytical framework for cross-kingdom claims, and narrows future experimental work to five abundant forage-derived sequences and a short list of candidate genes (LDLRAP1, TCF7/TCF7L2, PRLR, INSR). - Source: PubMed
Publication date: 2026/08/27
Zoziuk MaksymAli AbdirahmanDjibagao Abel DafogoMontesano CarlaPotestà MarinaMinchella AlessandraTerrinoni AlessandroCaroleo Maria CristinaCappelli GiuliaKoroliouk DimitriJimale Mohamed AhmedCiani ElenaColizzi Vittorio