GADD45G _ DDIT2
- Known as:
- GADD45G _ DDIT2
- Catalog number:
- EB08300
- Product Quantity:
- 0.1 mg
- Category:
- -
- Supplier:
- ACR
- Gene target:
- GADD45G _ DDIT2
Related genes to: GADD45G _ DDIT2
- Gene:
- GADD45G NIH gene
- Name:
- growth arrest and DNA damage inducible gamma
- Previous symbol:
- -
- Synonyms:
- DDIT2, GADD45gamma, GRP17, CR6
- Chromosome:
- 9q22.2
- Locus Type:
- gene with protein product
- Date approved:
- 1999-09-06
- Date modifiied:
- 2016-10-05
Related products to: GADD45G _ DDIT2
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- CXCL13 T cells and LAMP3 dendritic cells (DCs) are pivotal players in orchestrating anti-tumor immune responses, particularly within tumor tertiary lymphoid structures (TLS). However, their heterogeneity, differentiation trajectories, and clinical relevance in bladder cancer remain incompletely defined. This study integrated single-cell RNA sequencing (scRNA-seq) data (16 bladder cancer patients, 113,905 post-quality-control cells) and spatial transcriptomics to characterize CXCL13 T cell/LAMP3 DC subsets, their differentiation pathways (via Velocyto trajectory analysis), and intercellular crosstalk (via receptor-ligand mapping). A risk model (DTscore) was constructed using marker genes of these cells and validated in the IMvigor210 (atezolizumab-treated bladder cancer) and TCGA-BLCA cohorts. scRNA-seq clustering identified 10 immune and 3 nonimmune cell types, with T cells stratified into 8 subpopulations (including CD4CXCL13 T cells and CD8CXCL13 T cells) and DCs into 9 subgroups (including LAMP3 DCs). Receptor-ligand mapping and spatial transcriptomics confirmed functional crosstalk between CXCL13 T cells and LAMP3 DCs via key pairs (e.g., CCR7-CCL19, CXCR5-CXCL13, PDCD1-CD274) within TLS. The DTscore was developed using 8 marker genes (TSHZ2, ALOX5AP, GADD45G, TXN, CHN1, CCL19, CXCL13, ICA1) and exhibited robust prognostic and predictive performance: In the IMvigor210 cohort, high DTscore correlated with significantly poorer overall survival (OS) and a 3.27-fold lower immunotherapy response rate (11% vs. 36%, p = 4.23e-07); multivariate Cox regression confirmed DTscore as an independent OS predictor (hazard ratio = 1.97, p < 0.001). DTscore retained prognostic value in TCGA-BLCA (OS: p = 0.003; disease-specific survival: p < 0.001) and effectively predicted atezolizumab response even in the "immune desert" phenotype (p = 0.04). Combining DTscore with tumor mutational burden/tumor neoantigen burden yielded an AUC of 0.8122 for response prediction. Additionally, high DTscore was associated with higher OS hazard ratios in patients with wild-type TTN, RB1, EP300, or FGFR3 (all p < 0.01), while FGFR3 mutations correlated with lower immune checkpoint/CXCL13 expression. This study delineates the heterogeneity and interactions of CXCL13 T cell/LAMP3 DC subsets in bladder cancer TLS and validates DTscore as a robust tool for predicting OS and immunotherapy response, offering a potential guide for personalized bladder cancer treatment. - Source: PubMed
Publication date: 2026/08/05
Zhou LinZhu JinchaoLiu YushanXu Bin - Based on findings from human atherosclerotic arteries and mouse arterial injury models, where ZHX2 expression is significantly downregulated, this study identifies ZHX2 as a critical inhibitor of pathological vascular remodeling. Functionally, local adenoviral overexpression of ZHX2 in vivo attenuates neointima formation in a mouse carotid artery ligation model, while in vitro experiments demonstrate that ZHX2 impedes the proliferation and migration of primary Vascular Smooth Muscle Cells (VSMCs). Mechanistically, integrated RNA-seq and ChIP-seq analyses reveal that ZHX2 transcriptionally regulates GADD45G, directly binding to its promoter and activating its transcription. The essential role of this pathway is confirmed by the finding that knockdown of GADD45G counteracts the inhibitory effects of ZHX2 overexpression on VSMC proliferation, migration, and neointima formation. Consequently, the ZHX2/GADD45G signaling axis is highlighted as a potential regulatory pathway in injury-associated neointimal remodeling. - Source: PubMed
Fan SiyuanWu XuelianGui LinWu YichenQiao BaoruLi YueZheng ZheHuang Kai - Intramuscular fat content is a key determinant of pork quality, influencing traits such as tenderness, juiciness, and flavor. However, the molecular mechanisms regulating intramuscular fat deposition in indigenous pig breeds remain incompletely understood. This study aimed to identify genes and regulatory mechanisms associated with intramuscular fat accumulation in Hezuo pigs. Longissimus dorsi muscle samples from Hezuo pigs with extreme high and low intramuscular fat contents were subjected to chromatin accessibility profiling and transcriptome sequencing. Comparative analyses identified 2201 differentially accessible chromatin regions and 588 differentially expressed genes between the two groups. Functional enrichment analyses indicated that these genes were mainly involved in lipid metabolism, focal adhesion, extracellular matrix-receptor interaction, fatty acid metabolism, and adenosine monophosphate-activated protein kinase signaling. Integration of chromatin accessibility and gene expression datasets identified 92 co-regulated genes associated with intramuscular fat deposition, including , , , , , , , , and . These findings reveal regulatory networks underlying intramuscular fat accumulation in Hezuo pigs and provide candidate genes and molecular resources for improving meat quality through genetic selection and breeding programs. - Source: PubMed
Publication date: 2026/07/13
Yang JiaojiaoHuang XiaoyuYang QiaoliLi JieGun Shuangbao - Cribriform (Crib) acinar adenocarcinoma (AAC), intraductal carcinoma of the prostate (IDC-P), atypical intraductal proliferation (AIP) and ductal adenocarcinoma (DAC) are linked to poor outcomes in prostate cancer (PCa). We analyzed their gene expression using spatial transcriptomics. - Source: PubMed
Publication date: 2026/07/17
Zhao TingNawrocki ColeXiong LinjieNieman Linda TAbbott Todd ESaylor Philip JMcGovern Francis JMiyamoto David TTing David TDahl Douglas MWu Chin-Lee - Shugan Jianpi Formula (SGJPF), a traditional Chinese herbal formulation, has been clinically used for decades in the management of various chronic liver diseases, including liver fibrosis (LF). Previous studies have demonstrated the efficacy of SGJPF in ameliorating pathological manifestations in murine models of LF. However, the precise molecular mechanisms underlying its therapeutic effects remains unclear. In the present study, we aimed to explore the therapeutic mechanisms of SGJPF through comprehensive analysis of LncRNA-mRNA co-expression network.The therapeutic efficacy of SGJPF in a CCL-induced LF murine model was assessed by histopathological alterations, α-smooth muscle actin (α-SMA) and collagen Ⅰ expression. To elucidate the molecular mechanisms underlying the efficacy of SGJPF, whole transcriptome RNA sequencing technology was conducted to identify the LncRNAs and mRNAs expression profiles across control, model, and SGJPF-treated groups. GO function and KEGG pathway enrichment analysis was performed to identify the biological functions and signaling pathways associated with the differentially expressed genes (DEGs). Subsequently, the hub LncRNAs and mRNAs were identified based on fold change and correlation analysis. Finally, biological relevance of these core genes were further validated by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) in mouse liver tissue, revealing the regulatory interactions between LncRNAs and their target mRNAs. Compared with the control group, 401 differentially expressed (DE) LncRNAs and 1224 DE mRNAs were found in the model group. In addition, compared with the model group, 98 DE LncRNAs and 147 DE mRNAs were identified following treatment with SGJPF. Subsequently, 31 DE LncRNAs and 39 DE mRNAs were obtained and served as potential target genes of SGJPF. Functional annotation of the 31 DE LncRNAs revealed predominant involvement in small molecule metabolic processes, with significant associations observed in circadian rhythm regulation, p53 signaling pathway, TGF beta signaling pathway, and Hippo signaling pathway. Correlation analysis indicated significant associations between these 31 DE LncRNAs and 39 DE mRNAs (|PCC|> 0.65, P < 0.05). Additionally, the expression of 2 LncRNAs (Gm28857, D030074P21Rik) and 5 mRNAs (Cdkn1a, Id1, Id4, Wnt9b, Gadd45g) were confirmed by RT-qPCR in mouse liver tissue, which were consistent with RNA sequencing data. This study delineates the comprehensive LncRNA/mRNA expression profiles in LF treated with SGJPF, which may provide valuable insights into the molecular mechanisms underlying LF pathogenesis and identifying potential therapeutic targets for further investigation. - Source: PubMed
Publication date: 2026/06/03
Wan KaiqiangZhou QiongFeng RuiruiFan ChangShi WeibingXu WenbinJiang HuiZhou Qiumei