Ask about this productRelated genes to: ARNTL antibody
- Gene:
- ARNTL NIH gene
- Name:
- aryl hydrocarbon receptor nuclear translocator like
- Previous symbol:
- -
- Synonyms:
- MOP3, JAP3, BMAL1, PASD3, bHLHe5
- Chromosome:
- 11p15.3
- Locus Type:
- gene with protein product
- Date approved:
- 1997-11-06
- Date modifiied:
- 2017-08-18
Related products to: ARNTL antibody
Related articles to: ARNTL antibody
- This study investigated the genetic basis of growth, carcass, and meat quality traits in Yanying chickens, an indigenous breed adapted to high-altitude environments. A total of 19 growth traits and 29 carcass and meat quality traits were measured, and genome-wide association study (GWAS) was performed to identify loci associated with these economically important traits. In total, 455 significant single nucleotide polymorphisms (SNPs) were identified, and 176 candidate genes were obtained. Among these, 1 had been directly associated with the corresponding trait in previous chicken studies, while approximately 5 others had been implicated in related traits. Further regional association and linkage disequilibrium (LD) analyses highlighted RYR2 and ARNTL as positional candidate genes associated with spleen weight and breast muscle pH, respectively. In addition, expression-based analysis provided additional evidence consistent with ARNTL being a positional candidate gene for breast muscle pH. Functional enrichment analysis identified significant Gene Ontology (GO) terms related to cell adhesion and calcium ion binding, whereas Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis suggested nominal enrichment of ECM-receptor interaction and MAPK signaling pathways. Overall, these findings provide new insight into the genetic architecture of growth, carcass, and meat quality traits in this indigenous breed and offer useful information for future functional validation and genetic improvement of local poultry populations. - Source: PubMed
Publication date: 2026/09/12
He YuhangWang QiangLi JingheYang MingZou JunChen YuqiZhao JianianJiang JianxingLiu RuxueWei XinyuYuan XiaochanZheng ZhaoyouTan XiyuXiang QiaoHuang JianfengTong RenboLiu HeheHuang Anqi - Severe burns cause systemic inflammation and a hypermetabolic response, yet their impact on biorhythms remains unclear. Clock gene-regulated circadian rhythms maintain physiologic homeostasis and are altered in disease. We posit that severe burn disrupts tissue-specific clock gene expression in peripheral blood mononuclear cells and is associated with molecular alterations in skeletal muscle. - Source: PubMed
Publication date: 2026/09/22
Kleinhapl JuliaValdez RitoWolf StevenSong Juquan - Chronic kidney disease (CKD) is driven by inflammation, fibrosis, and metabolic dysfunction. While circadian rhythm dysregulation is well documented in chronic disorders, its specific impact on CKD pathogenesis remains elusive. - Source: PubMed
Publication date: 2026/09/06
Li Xiao-QianCheng LeiChen Tian-FenMa Yi-NuoLi Xiao-HuiFu Ting-YuXiao JingZhao Zhan-Zheng - Although individual traits related to metabolic dysfunction-associated steatotic liver disease (MASLD) have been investigated through large-scale genome-wide association studies (GWASs), the shared genetic susceptibility across these traits remains unclear. We therefore conducted a multivariate GWAS of key MASLD-related traits to elucidate their common genetic architecture. We applied genomic structural equation modeling to model a latent genetic factor (MASLD-F) underlying genetically correlated MASLD-related traits, leveraging their GWAS-derived genetic correlations. We then performed functional annotations, including fine-mapping, transcriptome-wide association study, and cell- and tissue-type-specific enrichment analyses, and conducted Mendelian randomization analyses to identify modifiable risk factors. Our multivariate MASLD-F GWAS identified 50 independent variants across 48 genomic loci. Transcriptomic imputation identified several MASLD-F-associated genes, including ARNTL, NPC1, BTBD10, VDAC2, TSKU, SFMBT1, and ABHD17C. We observed significant enrichment of MASLD-F-related genetic signals predominantly in brain tissues, pancreatic islets, and the adrenal gland. Additionally, six modifiable risk factors and four modifiable protective factors for MASLD-F were identified. These findings reveal a complex shared genetic architecture underlying MASLD components, thereby expanding our understanding of disease pathogenesis and providing novel insights for precision medicine and public health interventions. - Source: PubMed
Dong HaoLi YufengDing QiangZhang MiaoxinGu ShuaipengLiu Mei - Circadian and sleep-wake dysregulation have been implicated in episode recurrence and clinical heterogeneity in bipolar disorder (BD), supporting peripheral circadian markers as candidates for further investigation. This study examined the peripheral expression of selected circadian rhythm-related gene mRNAs and antisense long non-coding RNAs (lncRNAs), alongside corresponding serum protein levels and self-report-based rhythm phenotyping, in euthymic patients with BD. Sixty euthymic patients with BD (20 BD-1, 20 BD-2, and 20 with antidepressant-associated hypo/manic switch [ASHH], treated as an exploratory group) and 20 healthy controls were enrolled. Euthymia was verified by HAM-D < 7 and YMRS < 6, and chronotype and rhythm phenotypes were assessed using the MEQ, SRM-5, and BRIAN. Morning fasting blood was collected (08:00-10:00) with the morning medication dose withheld; because sampling was confined to a single morning window, the reported values represent morning transcript abundance rather than circadian rhythmicity, amplitude, or phase position. Three core clock gene mRNAs () and two antisense lncRNAs () were quantified by qRT-PCR (2^-ΔΔCt, β-actin reference), and serum CIART, CRY1, PER2, and ARNTL proteins were measured by ELISA. Between-group comparisons used nonparametric tests (Mann-Whitney U; Kruskal-Wallis H with Bonferroni post hoc), and correlations used Spearman's coefficient with Benjamini-Hochberg FDR correction. Compared with healthy controls, patients showed statistically significantly higher expression of the lncRNAs (r = 0,57) and (r = 0,49) and the mRNAs (r = 0,35) and (r = 0,29), all p ≤ 0,007, whereas mRNA did not differ (p = 0,654). In exploratory subgroup analyses, differences were concentrated in BD-2 and ASHH: BD-2 showed the highest expression and BD-1 the lowest, with BD-1 not differing from controls for any marker. Serum protein levels did not differ between groups or subgroups, and MEQ, BRIAN, and SRM-5 scores did not differ; however, a sensitivity analysis excluding shift workers revealed a chronotype difference masked in the full sample. Across 174 correlational tests, none survived FDR correction (lowest q = 0,063); nominal uncorrected associations are reported as preliminary only. In euthymic BD, peripheral expression of selected circadian rhythm-related markers-particularly the antisense lncRNAs and and the mRNAs of and - differed from healthy controls, whereas corresponding serum protein levels and behavioral rhythm phenotypes did not. This divergence across measurement levels can be considered a substantive finding, and the subgroup patterns are exploratory and hypothesis-generating. Longitudinal, episode-inclusive, and subtype-stratified studies incorporating objective circadian phase markers and repeated sampling are needed to establish the significance of peripheral transcript-level differences in BD.HIGHLIGHTS Peripheral circadian gene mRNAs and antisense lncRNAs are profiled in euthymic bipolar subtypes. and lncRNAs and and mRNAs are higher in patients than controls.Exploratory analyses: transcript differences concentrate in BD-2 and ASHH; not BD-1.Serum CIART, CRY1, PER2, and ARNTL protein levels by ELISA do not differ by group.Behavioral rhythm scores do not differ; correlations do not survive FDR correction. - Source: PubMed
Publication date: 2026/09/04
Gümüşlü Ağcabay AslıhanDemir BahadırKorkmaz MuratYumrutaş PınarSancaktar MuhammetElboğa GülçinBülbül FeridunAltındağ Abdurrahman