GABRA5 Blocking Peptide, Blocking Peptides
- Known as:
- GABRA5 Blocking Peptide, Blocking Peptides
- Catalog number:
- 33R-3620
- Product Quantity:
- 100 ug
- Category:
- -
- Supplier:
- Fitzgerald
- Gene target:
- GABRA5 Blocking Peptide Peptides
Related genes to: GABRA5 Blocking Peptide, Blocking Peptides
- Gene:
- GABRA5 NIH gene
- Name:
- gamma-aminobutyric acid type A receptor alpha5 subunit
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 15q12
- Locus Type:
- gene with protein product
- Date approved:
- 1992-08-07
- Date modifiied:
- 2016-02-04
Related products to: GABRA5 Blocking Peptide, Blocking Peptides
Related articles to: GABRA5 Blocking Peptide, Blocking Peptides
- This study aimed to clarify the molecular regulatory mechanisms of the hypothalamic-pituitary-testicular (HPT) axis in rooster lines with distinct hatchability. Two groups of roosters characterized by either high (H) or low (L) hatchability were evaluated. Semen quality and antioxidant capacity were measured, followed by transcriptome, metabolome, and O2PLS integration of the three tissues comprising the HPT axis. Results showed semen quality did not differ significantly between the two groups (P > 0.05), while seminal antioxidant capacity was significantly greater in the H group (P < 0.05). Differentially expressed genes were mainly enriched in transcriptional regulation, signal transduction, and steroid hormone metabolism pathways, whereas differentially expressed metabolites were concentrated in amino acid and lipid metabolism. Integrated analysis detected four potential genes (TGM4, SYCP1, CSPG5, and GABRA5) and two potential metabolites (N-Acetyl-arginine and prostaglandin D2). These findings suggest that the transcriptional and metabolic profiles within the male HPT axis, alongside seminal antioxidant status, appear to relate to offspring hatchability. Our work provides new insights into the molecular basis of hatching differences between rooster lines. - Source: PubMed
Publication date: 2026/09/07
Ma XiaolongNing Zhonghua - Sleep disorders are a core feature of Angelman syndrome (AS), affecting approximately 80% of individuals. They typically manifest as insomnia and disrupted sleep-wake cycles and contribute substantially to the burden experienced by affected individuals and their families. AS is caused by loss of function of the ubiquitin protein ligase E3A (UBE3A) gene, which encodes the E3 ubiquitin ligase E6AP, a protein essential for synaptic development and function. In individuals with a maternal 15q11-q13 deletion, concomitant deletion of neighboring non-imprinted genes, including GABRB3, GABRA5, GABRG3, ATP10A, and HERC2, may also contribute to the phenotype. Evidence from animal models further indicates that UBE3A plays a key role in sleep homeostasis and circadian rhythm regulation, including through interactions with core clock genes such as BMAL1. In this narrative review, we examine the role of UBE3A in sleep regulation and outline the principal sleep disturbances observed in AS, integrating findings from both preclinical models and human studies, while also considering genotype-phenotype correlations for the main clinical manifestations. The available evidence suggests that sleep disruption may be closely linked to the core neurological and behavioral features of AS, particularly epilepsy and behavioral abnormalities, through shared pathophysiological mechanisms related to UBE3A deficiency. Early identification and management of sleep disturbances may therefore represent a potentially modifiable factor for improving behavioral outcomes, seizure control, and overall quality of life in individuals with AS. In addition, sleep measures should be considered as potentially relevant clinical endpoints in ongoing trials of emerging therapeutic strategies. - Source: PubMed
Publication date: 2026/08/14
Terrone GaetanoMiano Maria GiuseppinaCarotenuto MarcoFiorile Maria FrancescaAiello SalvatoreBravaccio CarmelaDel Giudice Ennio - Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS), characterized by persistent pain, is significantly associated with sexual dysfunction, yet the underlying mechanisms remain poorly understood. - Source: PubMed
Luan JiaochenGu QiYu MengchiChen DanniXu ChunluZhang JiayiYang JieSong Ninghong - This study aimed to identify genetic markers for body weight in adult male Dongfeng sika deer (Cervus nippon) using a genome-wide association study (GWAS). A cohort of 266 healthy, five-year-old stags was phenotyped and genotyped via whole-genome resequencing. Population structure was assessed, and a mixed linear model (MLM) was employed for association testing, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of candidate genes. The GWAS identified twelve genome-wide significant SNP loci, which were annotated to seven candidate genes: ERC2, LOC122708028, FHIT, CASP14, UBE3A, NRXN3, and GABRA5. Functional enrichment analyses revealed these genes are significantly involved in the γ-aminobutyric acid (GABA)ergic synaptic transmission pathway and pathways related to DNA damage repair and cell cycle regulation. This study provides insights into the genetic mechanisms underlying body weight traits in adult male Dongfeng sika deer and offers a reference for subsequent functional exploration of candidate genes. - Source: PubMed
Publication date: 2026/06/11
Zhang XinyuanZhang YanZhao LiepingZhao YaoQian Wen-XiGai GuanghuiSong JunDu PeizeHan HuanshengZhang Zhen - To investigate the association between polymorphisms in the , , and genes and growth traits in Dongfeng sika deer and to identify potential molecular markers for breeding, this study was conducted based on prior genome-wide association analysis. Based on the previous GWAS analysis of 266 Dongfeng sika deer, the SNP loci of , , and genes were detected in 36 male deer samples. The genetic parameters were calculated, and an association analysis with growth traits was carried out. Phenotypic analysis indicated that body weight and chest circumference had higher coefficients of variation than other growth traits, and body weight showed a strong positive correlation with body-slant length (r = 0.743, < 0.01) and a moderate correlation with chest circumference (r = 0.709). A total of six SNP loci were identified, including three within (Chr13-8442730, Chr13-9033380, and Chr13-9045819), one within (Chr14-5681678), and two within (Chr20-66603370 and Chr20-66618510). The dominant genotypes at these loci include CG (CC), AA, CG, CC (CG), AA, and GG (GC). Linkage disequilibrium analysis revealed a relatively strong association between Chr13-8442730 and Chr13-903380 on chromosome 13. Combined genotype analysis showed that diplotype CCCGGC was associated with higher body weight and larger chest circumference than other genotype combinations. Gene expression analysis showed that the relative expression levels of , , and were lower in the low-growth group than in the high-growth group, and expression variation was also observed within groups. Overall, gene expression levels appeared to be positively associated with growth traits, with higher expression associated with improved growth performance. These findings suggest that and may serve as candidate genes for further investigation and that the identified SNP loci may contribute to the development of molecular markers for the selection of growth traits in Dongfeng sika deer. The results provide a preliminary basis for molecular breeding and genetic improvement strategies in Dongfeng sika deer bucks and serve as an important reference for genetic improvement of growth traits in Cervidae. - Source: PubMed
Publication date: 2026/06/03
Zhang YanZhang XinyuanHan HuanshengWang Xue