Ask about this productRelated genes to: TRIM59 Blocking Peptide
- Gene:
- TRIM59 NIH gene
- Name:
- tripartite motif containing 59
- Previous symbol:
- TRIM57
- Synonyms:
- TSBF1, Mrf1, RNF104
- Chromosome:
- 3q25.33
- Locus Type:
- gene with protein product
- Date approved:
- 2004-07-12
- Date modifiied:
- 2016-10-05
Related products to: TRIM59 Blocking Peptide
Related articles to: TRIM59 Blocking Peptide
- The accurate assessment of chronological age through DNA methylation (DNAm) patterns has emerged as a promising forensic-age estimation tool. This study, therefore, assessed seven age-associated CpG sites to develop an epigenetic age-prediction model capable of rendering reliable outputs especially in the Pakistani population, a population group underrepresented in current epigenetic aging studies. A total of seven age-related CpG sites, KLF14 (cg14361627), CCDC102B (cg19283806), TRIM59 (cg07553761), ASPA (cg02228185), C1ORF132 (cg10501210), FHL2 (cg06639320), and ELOVL2 (cg16867657), were selected and analyzed in blood samples of 181 individuals categorized into different age groups (1 to 76 years). A methylation SNaPshot™ multiplex assay was performed, three different age prediction models like stepwise regression, multivariate linear regression (MVLR), and support vector machine (SVM), were established based on the methylation data of SNaPshot™ multiplex assay. The stepwise regression model and multivariate linear regression enabled age prediction, with mean absolute deviations (MADs) = 3.60 and 3.69, respectively, whereas the SVM model enabled age prediction, with MAD = 3.40. An independent set of 53 samples was used to test the performance of the three models, and the prediction MADs for the validation set were 3.92, 3.73 and 3.44 for the stepwise regression, multivariate linear regression and SVM models, respectively. The number of correct predictions for ± 4 years reached high values of 69.81%, 71.69% and 77.35% for the stepwise regression, MVLR and SVM models, respectively. The results revealed that all seven markers were significantly associated with age, but ELOVL2 and FHL2 are reliable candidates for age estimation models in Pakistan due to their robustness and minimal redundancy among evaluated CpG sites. However, CCDC102B (cg19283806) had the lowest association levels, respectively. Prediction accuracy was found to decrease with increasing age, suggesting that environmental and lifestyle factors may play an increasingly important role in determining biological age-especially so in Pakistan where air pollution and other lifestyle indicators may accelerate biological age. These findings further highlight the need to study DNA methylation changes in polluted settings in order to improve age prediction systems and bridge the gap between chronological and biological age. Additional optimization using population samples and various forensic materials such as bloodstains, saliva, and body fluids is required to improve the performance and applicability of the model in real-life forensic situations. - Source: PubMed
Publication date: 2026/06/08
Arshad FatimaShahzad MuhammadJaved FaqeehaShehzadi AbidaBaig Ibrahim SalamShahid Ahmad AliShafique Muhammad - Lung adenocarcinoma (LUAD) remains a leading cause of cancer-related mortality, with immune evasion being a key driver of treatment resistance and poor prognosis. The tripartite motif-containing (TRIM) family of E3 ubiquitin ligases plays critical roles in regulating tumor immunity, but the functional relevance and molecular mechanisms of most TRIM members in LUAD remain elusive. Here, we integrated multi-omics analyses with functional experiments to systematically investigate the prognostic value and immunoregulatory role of TRIM family in LUAD. We identified TRIM59 as an independent poor prognostic factor, with its high expression correlating with an immunosuppressive tumor microenvironment (TME). Mechanistically, TRIM59 interacts with interferon regulatory factor 3 (IRF3) and promotes its ubiquitination and proteasomal degradation, thereby inhibiting the IRF3-STING pathway and downstream anti-tumor interferon production. Single-cell analyses revealed cell-type-specific functions of IRF3: in tumor cells, IRF3 may suppresses immune-activating gene expression and modulates proliferation; in tumor-infiltrating T/NK cells, IRF3 negatively regulates pro-inflammatory signaling. Collectively, our findings establish the TRIM59-IRF3 axis as a novel regulatory pathway driving LUAD immune evasion, providing a promising prognostic biomarker and therapeutic target for enhancing immunotherapy efficacy. - Source: PubMed
Publication date: 2026/05/20
Li XueGuo MeifangLian Zhen - Taxanes are first-line cchemotherapeutic agents for breast cancer; however, the development of resistance often leads to treatment failure. Ubiquitination plays a critical regulatory role in tumor progression and drug resistance. This study aims to construct a prognostic model based on ubiquitination-related genes (URGs) according to taxane treatment response, to predict patient prognosis and drug sensitivity, identify potential therapeutic targets, and provide a basis for individualized treatment of breast cancer. - Source: PubMed
Luo HuiminLuo MiWang SuweiLi LingZhu JianghuaTang Zhuohong - Accurate chronological age estimation from biological material represents a valuable investigative tool in forensic genetics, particularly in cases involving unidentified persons or where no DNA database match exists. This study aimed to develop and validate the first DNA methylation–based age prediction model tailored to the Serbian population. Methylation fractions at 40 CpG sites located within seven age-associated gene loci (ELOVL2, FHL2, KLF14, TRIM59, MIR29B2CHG, PDE4C, and EDARADD) were quantified using the SNaPshot assay across 188 peripheral blood samples collected from healthy volunteers aged 18–70 years. The dataset was divided into a training set (N = 142) and a test set (N = 40), with an additional six samples from simulated crime scene conditions. Four age prediction models were constructed using multiple regression and machine learning approaches, all demonstrating high predictive accuracy (MAE = 2.04–2.8 years in training; 3.1–3.24 years in test datasets). All models showed notably high accuracy in the youngest age group (18–30 years), whereas prediction precision decreased slightly with age. Importantly, the models maintained robustness when tested on DNA extracted from bloodstains deposited under non-laboratory, uncontrolled conditions, underscoring their forensic applicability. - Source: PubMed
Publication date: 2026/04/28
Andrejevic MarkoTanasic VanjaSrejic Milica MihajlovicKeckarevic DusanMarkovic Milica Keckarevic - Methyl-CpG binding domain protein 3 (MBD3) functions as a critical tumor suppressor in lung adenocarcinoma (LUAD), yet the ubiquitin-dependent mechanisms orchestrating its proteasomal turnover remain elusive. Here, we demonstrate that MBD3 undergoes ubiquitination and identify tripartite motif-containing protein 59 (TRIM59) as the cognate E3 ligase. TRIM59 physically associates with the N-terminal MBD domain of MBD3 and catalyzes its polyubiquitination and degradation, and mass spectrometry mapping reveals that this process occurs primarily at lysine residues K41, K90, and K92. Functional characterization of the TRIM59-MBD3 axis reveals its role in derepressing the heat shock transcription factors HSF1 and HSF2, thereby driving malignant proliferation and tumor progression. Tissue microarray immunohistochemistry reveals that TRIM59 is upregulated, whereas MBD3 is downregulated in LUAD tissues, establishing an inverse expression pattern that supports oncogenesis. Our findings unveil an unappreciated layer of MBD3 regulation and identify the TRIM59-MBD3 ubiquitination cascade as a potential therapeutic vulnerability in LUAD. - Source: PubMed
Publication date: 2026/01/25
Yang WenhuiRen JinWang YufangShi JiaheCai ZiwanCai CuihongZheng JingQu JingjingZhou Jianya