Ask about this productRelated genes to: RBPJ antibody
- Gene:
- RBPJ NIH gene
- Name:
- recombination signal binding protein for immunoglobulin kappa J region
- Previous symbol:
- IGKJRB1, RBPSUH
- Synonyms:
- SUH, IGKJRB, RBPJK, KBF2, RBP-J, CBF1
- Chromosome:
- 4p15.2
- Locus Type:
- gene with protein product
- Date approved:
- 1993-04-23
- Date modifiied:
- 2016-04-06
Related products to: RBPJ antibody
Related articles to: RBPJ antibody
- Idiopathic retroperitoneal fibrosis (iRPF) is a rare disease frequently misdiagnosed due to the lack of reliable biomarkers. This study aimed to identify novel autoantibodies to improve the diagnosis and differential diagnosis of iRPF. - Source: PubMed
Publication date: 2026/04/28
He XiOuyang LizhiMeng XinyuWu YiweiWu TongxinHe ZhengtingYang JinmingZhu XinyunXuan HanqingSong RuiCao ShanChen Xiaoxiang - Egg production is an essential metric used to assess poultry reproductive efficiency. The liver, functioning as a vital metabolic organ, is integral to avian reproduction and the overall productivity of laying birds. In this research, we aimed to explore various aspects of the mechanisms behind egg production across different poultry species by conducting transcriptomic and metabolomic analyses, as well as integrated assessments, of liver tissues from high- and low-producing pigeons to investigate the biosynthesis processes and identify pivotal genes and metabolic pathways in the liver during egg production. There were 1380 differentially expressed genes (DEGs) identified between the low- and high-production groups. The low-production group had 670 upregulated and 710 downregulated genes. Five genes identified were linked to egg production in the transcriptome: PRLR, HMGCR, CDK6, PTGR1 and RBPJ. The pathways that were identified to be the most significant encompass cytokine-cytokine receptor interaction, PI3K-AKT and JAK-STAT signalling pathways. Of the 229 significantly differentially abundant metabolites (DAMs) identified, 71 were upregulated, and 158 were downregulated, of which forskolin, methionine, prostaglandin F2α and adenosine 5'-diphosphate emerged as key metabolites associated with reproduction. By integrating transcriptomic and metabolomic data, we uncovered correlations between specific DEGs and DAMs, revealing significant gene-metabolite pairs, namely, PRLR-prostaglandin F2α and PRLR-adenosine 5'-diphosphate, involved in egg production. The new knowledge substantially enhances our comprehension of the molecular distinctions in hepatic physiology of high- and low-producing pigeons and establishes a valuable theoretical framework for future investigations into the mechanistic basis of avian egg-laying performance. - Source: PubMed
Publication date: 2026/04/21
Chen HuiZhang BinWang ManmanFu YiqianLi JingZhao KailingChen YufeiSong YujieLi YunhaiXu ShanjinDai Dingzhen - Physiological and pathological processes are governed by networks of genes called gene regulatory networks (GRNs). By reconstructing GRNs, we can accurately model how cells behave in their natural state and predict how genetic changes will affect them. Transcriptomic data of single cells are now available for a wide range of cellular processes in multiple species. Thus, a method building predictive GRNs from single-cell RNA sequencing (scRNA-seq) data, without any additional prior knowledge, could have a great impact on our understanding of biological processes and the genes playing a key role in them. To this aim, we developed IGNITE (Inference of Gene Networks using Inverse kinetic Theory and Experiments), an unsupervised machine learning framework designed to infer directed, weighted, and signed GRNs directly from unperturbed single-cell RNA sequencing data. IGNITE uses the GRNs to generate gene expression data upon single and multiple genetic perturbations. IGNITE is based on the inverse problem for a kinetic Ising model, a model from statistical physics that has been successfully applied to biological networks. We tested IGNITE on two complementary systems of pluripotent stem cells (PSCs): murine PSCs transitioning from the naïve to formative states, and human PSCs differentiating toward definitive endoderm. These datasets differ in species, developmental trajectory, and single-cell technology (10X vs. Fluidigm C1), providing a stringent test of generalizability. Using only unperturbed scRNA-seq data, IGNITE simulated single and multiple gene knockouts (KOs) and produced predictions consistent with independent experimental observations. In mouse PSCs, IGNITE generated wild-type data highly correlated with experiments and accurately predicted the effects of Rbpj, Etv5, and triple KOs, while in human PSCs it correctly predicted differentiation-promoting and differentiation-blocking perturbations, in agreement with published studies. These results demonstrate that IGNITE robustly captures gene interaction logic across species and technologies, enabling robust in silico perturbation analyses directly from scRNA-seq data. - Source: PubMed
Publication date: 2026/04/15
Corridori CleliaRomeike MerritNicoletti GiorgioBuecker ChristaSuweis SamirAzaele SandroMartello Graziano - The molecular interplay between Notch and TGF-β signaling in colorectal cancer (CRC) metastasis remains poorly understood. - Source: PubMed
Publication date: 2026/04/14
Wang YaochunSong JingzhuoSong ShaoranZheng ShuhangLi YuyaoZhang LingxiaoWang Shuhong - Epstein-Barr virus is a globally disseminated oncovirus capable of causing various malignancies, including gastric cancer, Burkitt lymphoma, and Hodgkin's lymphoma. The influence of recombination on the EBV genome revealed limitations in the current traditional EBV classification, and the extent of these recombination events across the EBV genome is not fully understood. The nuclear antigen 3C (EBNA3C) is an indispensable gene in the oncogenesis of the virus. Despite its critical role, little is known about EBNA3C sequence variability. We examined 988 EBNA3C gene sequences extracted from EBV genomes in this context. Among the protein motifs, the interaction sites with Nm23-H1, RBP-Jk, and nuclear localization signal (NLS) 2 and 3 were the most divergent between EBV types, while NLS-1 and the leucine zipper-like showed high conservation. In our study of the impact of recombination vs. point mutations in the EBNA3C gene, we found that recombination contributed five times more to substitutions than mutation. Notably, Asian populations exhibited the highest variability and recombination rates. Importantly, our analysis revealed geographical rather than disease-specific markers. Furthermore, filtering for recombination regions did not affect the classical classification of EBV-1 and EBV-2. This finding suggests that recombination is pivotal in the architecture of EBV genetic diversity of the EBNA3C gene. - Source: PubMed
Publication date: 2026/03/27
Barra AbdielVasquez-Aguilar PaulinaBraz-Silva Paulo HenriqueZanella Louise