Ask about this productRelated genes to: ZC3H4 antibody
- Gene:
- ZC3H4 NIH gene
- Name:
- zinc finger CCCH-type containing 4
- Previous symbol:
- C19orf7
- Synonyms:
- KIAA1064
- Chromosome:
- 19q13.32
- Locus Type:
- gene with protein product
- Date approved:
- 2001-12-14
- Date modifiied:
- 2019-04-16
Related products to: ZC3H4 antibody
Related articles to: ZC3H4 antibody
- Mammalian genomes harbor hundreds of thousands of RNA polymerase II (RNA Pol II) landing pads, enhancers, and promoters from which transcription initiates bidirectionally. Nevertheless, processive transcription is largely restricted to the small gene-containing fraction of the genome. An essential metazoan complex, Restrictor, composed of WDR82 and ZC3H4, restrains processive RNA Pol II activity at extragenic transcription units, thus representing a critical enforcer of genome utilization. However, because of the widespread recruitment of Restrictor to both genic and non-genic transcription sites, the mechanistic basis for its selectivity for extragenic transcription is unclear. Here, we show that while WDR82 tethers Restrictor to transcription initiation sites, the C3H1-type zinc fingers of ZC3H4 make sequence-specific interactions with motifs enriched at the 5' end of extragenic transcripts, with such interactions being required for transcription termination. Hence, although Restrictor recruitment requires WDR82-dependent tethering to the initiating RNA Pol II, its selectivity mainly arises from sequence-specific RNA recognition. - Source: PubMed
Publication date: 2026/03/03
Polizzese DaniloMandana Gaurav MadappaRusso MartaPolletti SaraProsperini ElenaCiossani GiuseppeMonzani SilviaScietti LuigiRodighiero SimonaGualdrini FrancescoPiccolo VivianaNatoli Gioacchino - Facial wrinkling is a prominent sign of aging, yet individuals exhibit unique trajectories of biological aging, contributing to the variability in facial appearance. Here, we present a pioneering study exploring the association between lifestyle choices, DNA methylation, and SNP genotypes with a range of facial skin aging phenotypes. The study demonstrated that age-related facial skin phenotypes are influenced by multiple environmental stressors. Epigenome-wide association analyses identified differentially methylated cytosines mapped to 151 loci, including novel genes associated with facial wrinkles, such as EDAR (cg02925966, p = 4.96 × 10) and NRG1 (cg26267340, p = 4.64 × 10), both involved in wound healing. Sensitivity analysis, conditioning on the top meQTLs, showed minor attenuation, suggesting an association independent of genetic variants. Accelerated epigenetic aging, measured in the blood of over 700 Polish individuals, was found to correlate with facial wrinkle area, photoaging, telangiectasias, and perceived facial age, with the GrimAge and FitAge clocks showing the most robust associations. Genome-wide SNP analysis identified rs73943403 (RP11-78F17.1, p = 3.72 × 10) associated with wrinkle area and rs113125564 (ZC3H4, p = 1.23 × 10) associated with perceived facial age, potentially implicating stress response and adiposity in skin aging. Finally, the study revealed the additive value of methylation and SNP data for predicting two continuous skin phenotypes, with 59.0% of the variation explained in facial wrinkle area and 26.2% in perceived facial age. The findings underscore the relevance of genetic and epigenetic factors, revealing novel candidate genes and molecular pathways involved in skin aging. These insights hold substantial translational value for dermatology, the cosmetics industry, and anti-aging strategies. - Source: PubMed
Publication date: 2025/12/24
Noroozi RezvanPisarek-Pacek AleksandraWysocka BożenaMigacz-Gruszka KamilaPruszkowska-Przybylska PaulinaKobus MagdalenaLisman DagmaraZacharczuk JuliaRudnicka JoannaIljin AleksandraFitzgerald Kathryn CMichalczyk MałgorzataKaczka PiotrKrzysztofik MichałKostrzewa MaciejSitek AnetaSpólnicka MagdalenaOssowski AndrzejBranicki WojciechPośpiech Ewelina - Silicosis is a progressive lung fibrosis lacking effective treatment. Mesenchymal stem cells (MSCs) show antifibrotic potential, but their survival is impaired by the early inflammatory microenvironment. The therapeutic value of repeated MSC administration remains unclear. - Source: PubMed
Publication date: 2025/12/23
Zhou ZihanDing JiaweiHan ShuhuaDuan YuanfangChao JieHuang Jie - mA-Modified R-loops (mA-R-loops) play crucial roles in epigenetic regulation and genome stability, yet resolving their spatial distribution and protein interactomes in live cells remains challenging. To address this, we developed mA-R-loop proximity labeling (mA-RLPL), a chemically inducible split-APEX2 proximity labeling technology integrating dual-target recognition using the RNA-DNA hybrid binding domain of RNase H1 for R-loop targeting and mA reader protein's YTH domain for mA recognition, coupled with an abscisic acid (ABA)-inducible dimerization system for signal amplification. This technology revealed host mA-R-loops enriched with nucleoli under normal conditions. When applied to herpes simplex virus (HSV) infection, it further demonstrated viral mA-R-loops undergoing dramatic accumulation within phase-separated granules in replication compartments during late-stage infection. Proximity proteomics identified ZC3H4 and CCDC124 as essential regulators maintaining these structures, which serve as transcription sites for HSV late genes, with disruption selectively impairing viral transcription. mA-RLPL establishes a generalizable approach for spatially resolved profiling of mA-R-loop interactomes and organizational dynamics in living systems. - Source: PubMed
Publication date: 2025/12/03
Zhu Meng-DieYin Hua-QianHe Zhong-DaCheng YaoYe Qing-QingWang Zhi-GangPang Dai-WenLiu Shu-Lin - Transcriptional regulation involves complex interactions with chromatin-associated proteins, but disentangling these mechanistically remains challenging. Here, we generate deep learning models to predict RNA Pol-II occupancy from chromatin-associated protein profiles in unperturbed conditions. We evaluate the suitability of Shapley Additive Explanations (SHAP), a widely used explainable AI (XAI) approach, to infer functional relevance and analyse regulatory mechanisms across diverse datasets. We aim to validate these insights using data from degron-based perturbation experiments. Remarkably, genes ranked by SHAP importance predict direct targets of perturbation even from unperturbed data, enabling inference without costly experimental interventions. Our analysis reveals that SHAP not only predicts differential gene expression but also captures the magnitude of transcriptional changes. We validate the cooperative roles of SET1A and ZC3H4 at promoters and uncover novel regulatory contributions of ZC3H4 at gene bodies in influencing transcription. Cross-dataset validation uncovers unexpected connections between ZC3H4, a component of the Restrictor complex, and INTS11, part of the Integrator complex, suggesting crosstalk mediated by H3K4me3 and the SET1/COMPASS complex in transcriptional regulation. These findings highlight the power of integrating predictive modelling and experimental validation to unravel complex context-dependent regulatory networks and generate novel biological hypotheses. - Source: PubMed
Publication date: 2025/10/23
Chhatbar KashyapBird AdrianSanguinetti Guido