Ask about this productRelated genes to: RASL12 antibody
- Gene:
- RASL12 NIH gene
- Name:
- RAS like family 12
- Previous symbol:
- -
- Synonyms:
- RIS
- Chromosome:
- 15q22.31
- Locus Type:
- gene with protein product
- Date approved:
- 2004-02-03
- Date modifiied:
- 2016-10-05
Related products to: RASL12 antibody
Related articles to: RASL12 antibody
- Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease characterized by aberrant fibroblast activation and excessive extracellular matrix (ECM) accumulation, resulting in irreversible lung remodeling. Although fibroblasts are central to IPF pathogenesis, comprehensive transcriptomic analyses of IPF patient-derived lung fibroblasts remain limited. This study aimed to identify novel molecular contributors to IPF through transcriptomic profiling of lung fibroblasts. - Source: PubMed
Publication date: 2026/03/27
Seo Eun-JeongLee Jong-UkPark Seung-LeeKim Min-KyungChoi Jae-SungHwang Hun-GyuKim Jung-HyunChang Hun-SooPark Choon-Sik - Aberrant proliferation of mesangial cells (MCs) is a central driver of glomerular injury in IgA nephropathy (IgAN) and lupus nephritis (LN), the two most common mesangioproliferative glomerulopathies. Emerging evidence implicates dysregulated arginine-proline metabolism in this process; however, the key regulatory genes and underlying mechanisms remain incompletely defined. Here, we performed integrative bulk RNA sequencing of glomerular datasets and applied machine learning algorithms (LASSO and SVM-RFE) to identify disease-specific differentially expressed genes (DEGs) linked to the arginine-proline metabolic pathway. We identified 34 LN-specific and 18 IgAN-specific DEGs, among which ASS1, PCK1, and CBR3 emerged as core hub genes through feature selection and network analyses. A nomogram-based diagnostic model incorporating these genes demonstrated strong predictive performance, with AUC values exceeding 0.75 in internal cohorts and robust validation across external datasets. Single-cell RNA sequencing of mouse models delineated seven MC subclusters, highlighting Rasl12 and Col3a1 subpopulations with pronounced proliferative-inflammatory phenotypes, characterized by downregulated ASS1 and PCK1 and upregulated CBR3. These transcriptional patterns were corroborated in vivo in anti-Thy1 nephritis rats, BAFF-transgenic IgAN mice, and MRL/lpr LN mice, where altered gene expression correlated with mesangial hyperplasia, macrophage infiltration, and elevated inflammatory cytokines. Functional assays in PDGF-BB-stimulated human MCs further demonstrated that overexpression of ASS1 or PCK1, or knockdown of CBR3, attenuated MC activation, proliferation, and proinflammatory crosstalk with macrophages. Collectively, our results position ASS1, PCK1, and CBR3 as pivotal regulators of arginine-proline metabolism in mesangial proliferation, establishing them as innovative diagnostic biomarkers and therapeutic targets for precise management of IgAN and LN. - Source: PubMed
Publication date: 2025/12/04
He JiayiPeng FeiQu YilunZhao YinghuaLi YueyangZhou YueranGuo ChangLi XingangSong MansuChen XiangmeiHong QuanWang Wei - Cancer-associated fibroblasts (CAFs) play a critical role in hepatocellular carcinoma (HCC) progression. This study aimed to develop a CAF-based risk signature model for predicting prognosis and identifying potential therapeutic targets. - Source: PubMed
Publication date: 2025/10/24
Qian WenchenWu KezhiShen ZhuNi BowenZheng HaojieLiu YaweiGuo Manlan - Age-related hearing loss (HL) and sarcopenia (ARS) are prevalent geriatric syndromes sharing common risk factors. This study aimed to identify shared biomarkers and elucidate convergent pathogenic mechanisms. Transcriptomic datasets were obtained from public database. Differential expression analysis was performed, followed by enrichment analysis. Hub genes were identified via LASSO regression, SVM-RFE, and random forest algorithms. Diagnostic performance was evaluated using receiver operating characteristic curve analysis across 6 independent cohorts. Comprehensive integrative analysis revealed distinct yet overlapping molecular signatures between HL and ARS. In HL, 11 upregulated and 16 downregulated genes were shared between 2 diseases, and complement and coagulation cascades, Toll-like receptor signaling, efferocytosis, as well as immune response processes were found to be associated with these genes. Machine learning identified 10 hub genes (AIMP2, JUN, SEMA5A, RASL12, GUSB, C1QA, GYPC, IRF7, C1QB, SERPING1) as shared biomarkers. Notably, these genes demonstrated robust diagnostic utility: individual genes exhibited area under the curve (AUC) values > 0.7 in most cohorts. Although the combined 10-gene model achieved AUC = 1 in several cohorts, these results should be interpreted with caution due to the limited sample sizes in some datasets (e.g., GSE6045, n = 3 per group), which may inflate performance metrics. Permutation tests confirmed that the AUC values were significantly better than chance in several cohorts (P < .05). This study pioneers a machine-learning framework to uncover shared molecular drivers of HL and ARS, identifying 10 hub genes as promising diagnostic biomarkers. - Source: PubMed
Li Ming - The global incidence of prostate cancer (PCa) has been rising annually, and early diagnosis and treatment remain pivotal for improving therapeutic outcomes and patient prognosis. Concurrently, advancements in liquid biopsy technology have facilitated disease diagnosis and monitoring, with its minimally invasive nature and low heterogeneity positioning it as a promising approach for predicting disease progression. However, current liquid biopsy strategies for PCa predominantly rely on prostate-specific antigen (PSA), which lacks specificity and compromises diagnostic accuracy. Thus, there is an urgent need to identify novel liquid biopsy biomarkers to enable early and precise PCa diagnosis. - Source: PubMed
Publication date: 2025/04/22
Zhong XingyuYang YuxuanHe HaodongXiong YifanZhong MingliangWang ShaogangXia Qidong