ARHGAP24
- Known as:
- ARHGAP24
- Catalog number:
- 001879A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ARHGAP24
Related genes to: ARHGAP24
- Gene:
- ARHGAP24 NIH gene
- Name:
- Rho GTPase activating protein 24
- Previous symbol:
- -
- Synonyms:
- DKFZP564B1162, FLJ33877, FilGAP
- Chromosome:
- 4q21.23-q21.3
- Locus Type:
- gene with protein product
- Date approved:
- 2004-04-06
- Date modifiied:
- 2018-02-13
Related products to: ARHGAP24
Related articles to: ARHGAP24
- Diabetic retinopathy (DR) remains a leading cause of vision loss, with macrophages and glycosylation dysregulation implicated in DR pathogenesis. However, the potential as diagnostic biomarkers has been rarely investigated. - Source: PubMed
Publication date: 2026/08/27
Pan ZhujuanZhou ShaoboQi WenjuanWang JingLuo YanFan Feihong - In the United States, sickle cell disease (SCD) is a rare inherited hemoglobinopathy affecting about 100,000 individuals, mostly with African ancestry. SCD causes damage to multiple organ systems and SCD nephropathy (SCDN) is a common complication associated with early mortality. We previously performed a genome-wide association study (GWAS) for SCDN and identified a modest number of genome-wide significant loci. Here, we leveraged the ancestral composition of participants from two well-characterized adult SCD cohorts to boost statistical power and perform a local ancestry-aware GWAS for estimated glomerular filtration rate (eGFR), resulting in the identification of novel genome-wide significant loci within the African (AFR) and European (EUR) ancestral components of participants. Meta-analysis identified 12 significant genomic regions in the AFR tract, including PPIL6, ARHGAP24, RAB11A, and STEAP3, and 38 regions in the EUR tract, including UBLCP1, ADAMTS6, JAZF1, MYO7B, MYO1C, PDGFA, GPC5, LRP1B, KANK1, and TRPV5. The identified regions encompass genes affecting inflammation, extracellular matrix (ECM) integrity, iron metabolism, magnesium ion homeostasis, B cell apoptosis, tumor necrosis factor (TNF) production, and estrogen signaling. Many of these genes and pathways are important not only for renal function, but also for SCD biology, providing additional support for the hypothesis that SCDN pathophysiology is unique from other forms of kidney disease. This study represents the largest local ancestry-aware analysis of SCDN to date, furthers our understanding of the genetic risk factors underlying SCDN, and proposes new targets that could be useful for the early identification and treatment of kidney dysfunction in SCD patients. - Source: PubMed
Publication date: 2026/08/19
Garrett Melanie ENouraie Seyed MehdiMachado Roberto FGordeuk Victor RGladwin Mark TTelen Marilyn JAshley-Koch Allison ETOPMed Nhlbi Trans-Omics For Precision Medicine - ARHGAP24, a GTPase-activating protein (GAP) for the Rho family small GTPase Rac1, is highly expressed in podocytes and is thought to contribute to maintaining glomerular filtration barrier. Variants in ARHGAP24 have been implicated in human kidney diseases. However, the physiological requirement of ARHGAP24 in podocytes remains unclear. Here, we generated an arhgap24 knockout (KO) zebrafish, a well-established model organism, to investigate the in vivo role of ARHGAP24 in podocytes. - Source: PubMed
Publication date: 2026/07/24
Saito KojiFurukawa FumiyaKawashima NagakoTanaka ManabuNaito Shokichi - Early postnatal growth is a critical determinant of meat production efficiency and long-term genetic improvement in goats; however, the molecular mechanisms underlying individual variation in growth performance remain poorly understood. In this study, a total of 123 Hechuan white goats were included. First, a genome-wide association study (GWAS) for average daily gain (ADG) was performed using all 123 individuals. Subsequently, based on the coefficient of variation of ADG (CV = 65.6%), an extreme phenotype sampling (EPS) strategy was applied to select 39 individuals with extreme growth phenotypes for subsequent metabolomic, microbiome, and integrated mGWAS analyses.The results showed that ADG approximately followed a normal distribution across the 123 goats. GWAS identified 22 loci significantly associated with ADG, mapping to genes including DLK1, NCAPG2, LCORL, CNTNAP2, and SLC8A1, which are involved in pathways related to skeletal muscle development, cell cycle regulation, ion transport, and immune function. Metabolomic profiling detected 1,589 putative metabolites, revealing differential enrichment of lipid, amino acid, and bile acid metabolic pathways between fast- and slow-growing goats. Gut microbiome analysis demonstrated that Christensenellaceae_R-7_group and Monoglobus were significantly enriched in fast-growing individuals, whereas Desulfovibrio was more abundant in slow-growing goats.Integrated mGWAS analysis further revealed extensive effects of host genetic variation on gut microbiota and fecal metabolites. Specifically, 11 bacterial genera were significantly associated with host genomic variants, among which Desulfovibrio exhibited the highest number of associated loci. Integration of multiple variant types consistently linked Desulfovibrio, Eubacterium_hallii_group, and Candidatus_Saccharimonas with genes such as ARHGAP24 and IGF2BP2. In addition, 14 metabolites were significantly associated with host genetic variants, with Lysopc(14:1(9Z)/0:0) and glycocholic acid showing the strongest associations. Notably, the peak signal for Lysopc was located within HMGA2.Collectively, these findings define a coordinated host genome-gut microbiota-metabolite network underlying early growth variation in goats and provide a mechanistic foundation for precision breeding and targeted nutritional strategies in goat production systems. - Source: PubMed
Publication date: 2026/07/11
Mou Hui-LongWang Zi-XuanZhang Ming-DingLiu Yao-LongRen TaoRuan Peng-ChengHan Yan-GuoZeng YanZhang Hao-YuanLu Jia-GuoZhang YangLiu Cheng-LiHuang Yong-FuZhao Yong-JuZhao Zhong-QuanPan XiaoZhou Li-PingCeccobelli SimoneE Guang-Xin - Steroid-resistant nephrotic syndrome (SRNS) frequently reflects an underlying monogenic podocytopathy; however, the increasing use of genomic testing has also led to frequent identification of variants of uncertain significance (VUS), complicating clinical interpretation and creating a risk of overattribution of causality. - Source: PubMed
Publication date: 2026/05/09
Thammathiwat TheerachaiKongtal NoppakaoChompuk LaorKhutanthong SuphakitSuwatronnakorn BanpotKanjanabuch Talerngsak