ARHGAP18 antibody
- Known as:
- ARHGAP18 (anti-)
- Catalog number:
- orb75353
- Product Quantity:
- EUR
- Category:
- -
- Supplier:
- Biorbyt biorb
- Gene target:
- ARHGAP18 antibody
Related genes to: ARHGAP18 antibody
- Gene:
- ARHGAP18 NIH gene
- Name:
- Rho GTPase activating protein 18
- Previous symbol:
- -
- Synonyms:
- MacGAP, bA307O14.2
- Chromosome:
- 6q22.33
- Locus Type:
- gene with protein product
- Date approved:
- 2003-05-07
- Date modifiied:
- 2016-10-05
Related products to: ARHGAP18 antibody
Related articles to: ARHGAP18 antibody
- Early liver metastasis is a major factor contributing to the poor prognosis of pancreatic ductal adenocarcinoma (PDAC). Single-cell RNA sequencing (scRNA-seq) can analyze the heterogeneity between the primary tumor and metastatic lesions, but its wide clinical application is limited by costs, tissue requirements, and analytical complexity. In contrast, H&E-stained sections are more commonly available. However, it is not clear whether the risk signals derived from images can truly reflect the biological characteristics related to metastasis. We integrated the single-cell RNA sequencing data (GSE154778) of primary and metastatic pancreatic ductal adenocarcinoma (PDAC) with TCGA transcriptome, clinical pathological, and H&E image data. The copy number pattern based on InferCNV was used to distinguish malignant ductal cells with high copy numbers from ductal cells with low copy numbers. Differential expression and LASSO screening identified a transfer-related feature consisting of four genes (ARHGAP18, ASPH, EIF4EBP1, LY6D), and this feature was subsequently associated with image-derived features extracted through a dual-stream pathomics pipeline. The reproducibility of transcriptional levels in prognosis was evaluated in six independent GEO PDAC subgroups, and the locked pathological model was further tested on an external CPTAC subset using frozen cutoff values from TCGA. Pseudotime analysis suggested that a subset of metastatic malignant ductal cells occupied a progenitor-like transcriptional state. Cell-cell communication analysis indicated reduced antigen-presentation/prostaglandin-related signaling and relative enrichment of MIF- and laminin-associated pathways in metastases. The pathology model retained prognostic stratification in the internal TCGA validation split, although discrimination was lower than in training. Across six external GEO cohorts analyzed with cohort-specific optimal cutoffs, LY6D showed significant adverse survival associations in four cohorts, ARHGAP18 and ASPH in three cohorts each, and EIF4EBP1 in one cohort. In the external CPTAC cohort, the locked pathomics score also remained prognostic (HR 1.60, 95% CI 1.11-2.30; log-rank P = 0.011), with 12-, 24-, and 36-month time-dependent AUCs of 0.635, 0.617, and 0.639. This study presents an integrative genotype-to-phenotype workflow linking scRNA-seq-derived metastatic features to routine pathology images. External transcript-level validation and supportive CPTAC pathomics evaluation strengthen the findings, but larger independent validation studies and mechanistic experiments remain necessary before any clinical translation. - Source: PubMed
Publication date: 2026/05/26
Bao WenhaoLeng KaimingXia XiaodanChang JingyuYing PengchaoLuan ShaohaiYuan Qihua - The organization of the cell's cytoskeletal filaments is coordinated through a complex network of signaling cascades activated by both internal and external cues. Two major actin regulatory pathways are signal transduction through Rho family GTPases and growth and proliferation signaling through the Hippo pathway. These two pathways define the actin cytoskeleton, controlling foundational cellular attributes such as morphology and the organization of actin-based structures, and are hijacked to promote proliferation and motility in aggressive cancers. In this study, we use human epithelial cells to investigate the interplay between the Hippo and Rho Family signaling pathways. We identify that the RhoA GTPase-activating protein, ARHGAP18, forms a complex with two Hippo pathway components, the tumor suppressor Merlin (NF2), and the transcriptional coactivator YAP. Using super-resolution STORM microscopy, we characterize single-filament-level changes in the actin cytoskeleton that arise from CRISPR/CAS9 knockout of ARHGAP18. We report that the loss of ARHGAP18 results in cytoskeletal alterations associated with dysregulation of RhoA signaling at apical structures and aberrant nuclear localization of YAP. These findings provide additional support for models suggesting that Hippo and Rho family GTPase signaling cascades may be temporally and spatially coordinated in the regulation of the actin cytoskeleton. - Source: PubMed
Publication date: 2026/06/30
Murray Emma CHodge Gillian MPham KhanhFraher ShaneLee Leighton SMitchell Cameron A RManoj NamyaTooley Christine E SchanerBae YonghoLombardo Andrew T - Oocyte-specific isoforms play crucial roles in oocyte maturation, while current understanding of the oocyte transcriptome is mainly focused on gene level. Here, we utilize single-cell full-length isoform sequencing to detect entire transcripts in human and mouse oocytes. Isoform diversity during oocyte maturation is systematically profiled, including 7154 and 4875 putative novel human and mouse transcripts, respectively. More than half of novel isoforms are categorized as novel-not-in-catalog (NNC) and may serve specific functions in oocytes. For example, ARHGAP18 mainly encoded by novel isoforms colocalizes with microtubules, and targeted knockdown of novel isoforms disrupts oocyte maturation. Moreover, approximately 30% of NNC isoforms are derived from transposable elements, and their incorporation within transcripts could enhance isoform stability during oocyte maturation. Altogether, our findings represent a valuable resource showcasing the complexity and diversity of RNA isoforms in oocytes, as well as transposable element co-option for novel isoform generation and isoform stability enhancement. - Source: PubMed
Publication date: 2026/04/07
Wang YuqianWang WeiLiu YujunHe YimingSong HongyuYang MingWang NanWang XiaomengDing LingKuo YingXiu YuwenDu ZhengrongChen LuLian YingLiu QiangYan LiyingQiao JieYuan Peng - Sheep production contributes to a secure and diverse food and fibre supply in the United States, with growing ethnic diversity strengthening demand. Katahdin is a composite hair-type sheep breed developed in the United States that has become the most popular breed in many regions of the country and the first one to have genomic selection implemented in its breeding program. Therefore, the main objectives of this study were to estimate variance components of reproductive traits, including number of lambs born (NLB), number of lambs weaned (NLW), age at first lambing (AFL), and interval from first to second lambing (LI), in Katahdin sheep using the AIREML method and the single-step Genomic Best Linear Unbiased Prediction (ssGBLUP) approach, and to identify genomic regions and candidate genes associated with these traits. The datasets used consisted of 127,536 animals in the pedigree, phenotypic records of 56,128 parities from 24,067 ewes, and genomic data from 10,032 animals with 30,308 single-nucleotide polymorphisms (SNP) after quality control. Analyses were performed using the BLUPF90 family of programs. We observed low heritability estimates for all studied traits (0.09 ± 0.00 for NLB, 0.08 ± 0.00 for NLW, 0.09 ± 0.01 for AFL, and 0.08 ± 0.01 for LI). The genetic correlations between the traits ranged from 0.17 ± 0.02 (AFL and LI) to 0.79 ± 0.02 (NLB and NLW). All traits were found to be highly polygenic with all 14 significant SNP on eight (OAR) chromosomes (3, 6, 7, 8, 9, 12, 13, and 15) having small effects on the total variability on the traits. These SNP were located near or within 18 candidate genes: four genes associated with NLB (AAK1, GFPT1, SLC23A2, and GDAP1), four with NLW (ARHGAP18, TTLL2, UNC93A, and GPR31), six with AFL (NAP1L5, FAM13A, HS3ST1, CCDC181, NME7, and BLZF1), and four with LI (TAF4, CDH4, CADM1, and SEL1L). These candidate genes have been previously associated with fertility, embryonic development, growth, disease resistance, and climatic adaptation traits. Our findings indicate that fertility and reproduction traits in Katahdin sheep can be improved through direct genetic selection. Genetic improvement for these traits will benefit from genomic selection as more accurate estimates of breeding values for selection candidates can be obtained at a younger age. Although the studied traits are influenced by a complex interplay of genetic and environmental factors, the candidate genes identified enabled a better understanding of the biological mechanisms underlying reproductive performance in Katahdin sheep. - Source: PubMed
Publication date: 2026/03/30
Ospina Alejandra ToroLewis Ronald MFreking Bradley ABurke Joan MMurphy Thomas WWilson Carrie SBrito Luiz F - Invasive non-functional pituitary adenomas (NFPAs) are associated with high recurrence and unfavorable clinical outcomes, yet their underlying molecular mechanisms remain incompletely understood. This study aimed to identify robust biomarkers of invasiveness by integrating transcriptional networks, machine learning, and epigenetic regulation. RNA sequencing was performed on 32 NFPA samples (15 invasive, 17 non-invasive). Weighted gene co-expression network analysis (WGCNA) was used to identify invasiveness-associated modules, which were validated in public datasets (GSE169498, GSE51618). Candidate genes were prioritized using machine learning, and their epigenetic regulation was studied using DNA methylation datasets (GSE207937, GSE115783). We identified a five-gene signature associated with invasiveness (KIFC3, PNMA3, ARHGAP18, LRRC10B, and KCNC4). All five genes were consistently downregulated in invasive NFPAs (all < 0.01) and were enriched in oxidative phosphorylation and neuroactive ligand-receptor interaction pathways. A machine learning validation approach (Random Forest followed by forward stepwise logistic regression) showed strong discriminative performance for this signature (mean AUC = 0.919). DNA methylation analyses indicated no robust differences at the genome-wide level or across promoter regions of the core genes; nevertheless, several locus-specific CpG sites (e.g., near KIFC3) showed suggestive methylation changes. Using an integrative multi-omics framework, we identified a novel five-gene signature associated with NFPA invasiveness. The coordinated downregulation of these genes may reflect alterations in cellular energy metabolism and microenvironmental signaling. Although the signature demonstrated promising diagnostic potential, its transcriptional repression is unlikely to be primarily explained by DNA methylation. These findings provide candidate markers and mechanistic hypotheses for understanding invasive NFPA and developing risk-stratification tools. - Source: PubMed
Publication date: 2026/02/23
Ma XinWu HongyuZhang YuYang ZhijunLiu Pinan