Ask about this productRelated genes to: PRTFDC1 antibody
- Gene:
- PRTFDC1 NIH gene
- Name:
- phosphoribosyl transferase domain containing 1
- Previous symbol:
- -
- Synonyms:
- HHGP
- Chromosome:
- 10p12.1
- Locus Type:
- gene with protein product
- Date approved:
- 2003-11-10
- Date modifiied:
- 2016-10-05
Related products to: PRTFDC1 antibody
Related articles to: PRTFDC1 antibody
- Sujiang pigs, a high-quality local Chinese breed, represent a valuable model for investigating muscle development and improving meat production through genetic selection. Skeletal muscle satellite cells (MuSCs) are essential regulators of muscle growth, with differentiation tightly controlled by specific genes and signaling pathways. In this study, MuSCs were isolated from the gastrocnemius muscle and subjected to mRNA sequencing during proliferation (GM) and differentiation stages (DM1, DM2, and DM4, collectively referred to as DM). A total of 2790 differentially expressed genes (DEGs) were identified, including 1551 upregulated and 1239 downregulated genes. Time-series analysis revealed 16 significant expression patterns. These DEGs were primarily associated with muscle development and differentiation and were enriched in Wnt, PI3K-Akt, JAK-STAT, p53, Hippo, and Apelin signaling pathways. Among them, phosphoribosyl transferase domain containing 1 (PRTFDC1) exhibited pronounced downregulation during differentiation. Functional validation demonstrated that PRTFDC1 overexpression promoted myotube formation and upregulated , , and expression, whereas knockdown significantly inhibited differentiation. Furthermore, PRTFDC1 enhanced phosphorylation of key proteins in the cGAS-STING signaling pathway. Collectively, this study elucidates the temporal transcriptional regulation of MuSC differentiation in Sujiang pigs and identifies PRTFDC1 as a novel regulatory factor, providing a molecular foundation for breeding strategies and meat quality improvement. - Source: PubMed
Publication date: 2025/12/14
Zhang LiYe XiaoweiSun SuyiZhang LeiGu YixinCao ShinuoZhou MoSun WeixiangFu ChangyaoZhang QingqingLi MeiXu ZiyueMiao WeiXu QinseZhu Shanyuan - Hypereosinophilic syndrome (HES) is a rare group of disorders characterized by eosinophilia in blood and/or tissues. The etiology of HES is largely unknown. Characterizing the molecular pathophysiology of HES may improve diagnostic and therapeutic methodology. - Source: PubMed
Publication date: 2025/08/27
Ferrer AlejandroDehankar MrunalBaheti SaurabhPatnaik Mrinal MPongdee Thanai - Female survivors of physical or psychological violence, including sexual violence, report significant long-term consequences defined as post-traumatic stress disorder (PTSD). Among these, depression, affective difficulties, anomalous behaviours, and worsened reproductive health may also affect offspring through transgenerational transmission involving primordial germ cells (PGCs) and/or through social transmission and acquisition of behavioural patterns from parent(s) to children. The concept of epigenomic modification involves several molecular targets that are sensitive to environmental stressors, which tune gene activity and expression. DNA methylation, histone acetylation, ncRNAs, telomere attrition, and mitochondrial dysfunction cooperate in maintaining homeostasis and may affect genes involved in key pathways, such as the hypothalamic-pituitary-adrenal axis, mediating the integrated homeostatic response to stressors. The most investigated genes were those implicated in neuroendocrine stress responses; dopamine, norepinephrine, and serotonin signalling; apoptosis; insulin secretion; neuroplasticity; reproduction; foetal growth; and cancer (e.g. ). Additional investigated genes were those involved in other important functions, such as neuropeptide binding, immunoregulation, histone deacetylase/demethylase, inflammatory response, and serotonin uptake, yielding interesting but preliminary or not completely replicated findings (e.g. , and ). The assumption that epigenetic traits induced by negative experiences can be reversed by appropriate social, psychological, and pharmacological interventions has prompted the scientific community to investigate the relationship between epigenetic mechanisms and physical and psychological violence. This can help to identify direct links or epigenetic marks useful for optimizing personalized interventions encompassing the genetic, neuropsychiatric, social, and forensic medicolegal fields. Future research should be conducted with extreme caution to evaluate the long-term effects of such strategies and assess whether the immediate observed effects are maintained. - Source: PubMed
Publication date: 2025/09/10
Gemmati DonatoVillanova MatteoScarpellini FabioMilani DanielaCecchi RossanaSingh Ajay VikramGaudio Rosa MariaTisato Veronica - Drug discovery is a lengthy and expensive process, taking an average of 10 years and more than USD 2 billion from target discovery to drug approval. It is even more challenging in complex diseases due to disease heterogeneity and limited knowledge about the underlying mechanisms. We present a novel computational framework that integrates network analysis, statistical mediation, and deep learning to identify causal target genes and repurposable small-molecule candidates. : We applied weighted gene co-expression network analysis (WGCNA) and bidirectional mediation analysis (causal WGCNA) to transcriptomic data from idiopathic pulmonary fibrosis (IPF) patients to identify genes causally linked to the disease phenotype. These genes were used as a phenotypic signature for deep learning-based compound screening using the DeepCE model. : Using RNA-seq data from 103 IPF patients and 103 controls, we identified seven significantly correlated modules and 145 causal genes. Five of these genes ( and ) were predictive of disease severity in IPF. Our compound screening identified several promising candidates, such as Telaglenastat (GLS1 inhibitor), Merestinib (MET kinase inhibitor), and Cilostazol (PDE3 inhibitor), with significant inverse correlation with the IPF-specific gene signature. : This study demonstrates the utility of combining causal inference and deep learning for drug discovery. Our framework identified novel gene targets and therapeutic candidates for IPF, offering a scalable strategy for phenotype-driven drug discovery and repurposing. - Source: PubMed
Publication date: 2025/08/30
Ghandikota SudhirJegga Anil G - This study aims to elucidate the role of Phosphoribosyl Transferase Domain Containing 1 (PRTFDC1) in Lung Adenocarcinoma (LUAD) through bioinformatics analysis and experimental validation, exploring its potential as a biomarker for prognosis and treatment response. - Source: PubMed
Publication date: 2025/08/22
Yao JianZhang QiangZhong ChunheZhang HaiyangLei XinchiLi Dongbing