Human recombinant UBE2R1 (CDC34) proteins
- Known as:
- Human Rec. UBE2R1 (CDC34) proteins
- Catalog number:
- 6436-3
- Product Quantity:
- 3 nmol
- Category:
- Proteins
- Supplier:
- Biovis
- Gene target:
- Human recombinant UBE2R1 (CDC34) proteins
Related genes to: Human recombinant UBE2R1 (CDC34) proteins
- Gene:
- CDC34 NIH gene
- Name:
- cell division cycle 34
- Previous symbol:
- -
- Synonyms:
- E2-CDC34, UBE2R1, UBC3
- Chromosome:
- 19p13.3
- Locus Type:
- gene with protein product
- Date approved:
- 1994-05-12
- Date modifiied:
- 2017-12-06
- Gene:
- UBE2R2 NIH gene
- Name:
- ubiquitin conjugating enzyme E2 R2
- Previous symbol:
- -
- Synonyms:
- UBC3B, CDC34B, FLJ20419, MGC10481
- Chromosome:
- 9p13.3
- Locus Type:
- gene with protein product
- Date approved:
- 2002-12-16
- Date modifiied:
- 2016-10-05
Related products to: Human recombinant UBE2R1 (CDC34) proteins
Related articles to: Human recombinant UBE2R1 (CDC34) proteins
- The pathogenesis of diabetic neuropathy involves complex interactions between metabolic and genetic factors. This study aimed to identify novel genetic variants associated with neuropathy risk in type 2 diabetes through reanalysis of whole-exome sequencing data. We identified seven new SNPs with significant associations, including intronic variants in , , , and and a 5'-upstream variant in . These variants are implicated in muscle elasticity, neurotransmission, endothelial regeneration, and apoptosis resistance, suggesting multifaceted genetic contributions to neuropathy development. These findings enhance our understanding of diabetic neuropathy and may support future advances in risk stratification and therapy development. - Source: PubMed
Publication date: 2025/06/28
Hajdú NoémiTordai Dóra ZsuzsannaRácz RamónaLudvig ZsófiaIstenes IldikóBékeffy MagdolnaVági Orsolya ErzsébetKörei Anna ErzsébetTóbiás BálintIllés AnettPikó HenriettKósa János PÁrvai KristófLakatos Péter AndrásKempler PéterPutz Zsuzsanna - Chemical trapping strategies have recently emerged as powerful approaches for investigating the structural dynamics of E3 ligase-catalyzed substrate ubiquitination. However, current ubiquitination-derived probes are limited to studying substrate mono- or diubiquitination events. Probes capable of investigating how E3 ligases accommodate E2-Ub conjugates and ubiquitinated substrates to generate longer ubiquitin chains remain unexplored. In this work, we report the development of two Cullin1 E3 ligase (CRL1)-dependent probes, Extension Probe and Extension Probe, which mimic transient intermediates formed during CRL1-catalyzed K48-linked diubiquitin and tetraubiquitin chain formation on substrate p27. Notably, a chemoenzymatic semisynthetic strategy was devised to generate Extension Probe, involving the enzymatic conjugation of a preformed K48-linked diubiquitin to a synthetic Ub-p27-degron construct using the E2 conjugating enzyme UBE2K. Both Extension Probe and Extension Probe formed stable complexes with N8-CRL1 (comprising neddylated Cullin1-Rbx1 and the substrate receptor complex Skp1-Skp2-Cks1), facilitating structural analysis by chemical cross-linking mass spectrometry (CX-MS) and cryo-electron microscopy (cryo-EM). Our results indicate the presence of multiple distinct conformations of the catalytic module (comprising the RING domain of Rbx1, CDC34-Ub, and the acceptor ubiquitin) within the di- and tetraubiquitination complexes, while the conformation of the Cullin1-Skp1-Skp2-Cks1 subunit remains unchanged. In conclusion, this work expands the toolkit available for chemical trapping strategies and provides advanced insights into CRL-catalyzed substrate polyubiquitination. - Source: PubMed
Publication date: 2025/06/25
Li ChuntongZhao FangyuZuo ChongZhang LiyingJing YangwodeLi XuChu Guo-ChaoShi LuyuZhang YingyueWang HanSun ShuzheSun MaoshenAi HuasongLiang Lu-JunLi Jinghong - The Cell Division Cycle 34 (CDC34) is an E2 ubiquitin-conjugating enzyme that is required for proteasomal degradation of substrate proteins, and is able to stabilize proteins including the epidermal growth factor receptor to promote lung carcinogenesis. Here, we conducted a pan-cancer analysis of CDC34 in The Cancer Genome Atlas datasets, and found its high expression in breast cancer and negative association with patient outcomes. Analysis of single-cell RNA-sequencing data revealed a negative role of CDC34 in macrophage phagocytotic activity for cancer cells. CDC34 stabilized hypoxia-inducible factor 1α (HIF1α) and transcriptionally upregulated CD47 in cancer cells to evade phagocytosis by macrophages. Inhibition of CDC34 inhibited tumor growth and synergized with anti-PD-L1 antibody in murine models. CDC34 was positively associated with CD47 and negatively associated with CD8 granzyme B T-cell infiltration in patient samples, and patients with co-overexpression of CDC34 and CD47 had markedly poorer prognosis compared to those with high expression of either marker alone. In pre-treatment tumor samples, non-responders to immunotherapy exhibited significantly higher CDC34 levels and reduced CD8 T-cell infiltration compared to responders. These findings indicated that CDC34 is critical to immune evasion and could be a potential therapeutic target for those resistant to immune checkpoint inhibitors. - Source: PubMed
Publication date: 2025/05/24
Jie Xiao-LiangWei Jia-CongWang DiZhang Xiang-WeiLv Meng-YaoLin Yong-FangTan Yi-ShuaiWang ZhengAlifu AikedeJi LeiShen Yu-KeWang CongXu Bing-QingLiu ZhengHan Si-ChongWang Zi-HaoTong Xiao-WanFeng LinYing Jian-MingZhou Guang-BiaoWang Gui-Zhen - Hepatocellular carcinoma (HCC) is an exceedingly aggressive form of cancer that often carries a poor prognosis, especially when it is complicated by the presence of microvascular invasion (MVI). Identifying patients at high risk of MVI is crucial for personalized treatment strategies. Utilizing the single-cell RNA-sequencing dataset (GSE242889) of HCC, we identified malignant cell subtypes associated with microvascular invasion (MVI), in conjunction with the TCGA dataset, selected a set of MVI-related genes (MRGs). We developed an optimal prognostic model comprising 11 genes (NOP16, YIPF1, HMMR, NDC80, DYNLL1, CDC34, NLN, KHDRBS3, MED8, SLC35G2, RAB3B) based on MVI-related signature genes by integrating single-cell transcriptomic analysis with 101 machine learning algorithms. This model is meticulously crafted to forecast the prognosis of individuals afflicted with hepatocellular carcinoma (HCC). Additionally, we affirmed the predictive precision and superiority of our model through a meta-analysis against existing HCC models. Furthermore, we explored the differences between high- and low-risk groups through mutation and immune infiltration analyses. Lastly, we investigated immunotherapy responses and drug sensitivities between risk groups, providing novel therapeutic insights for liver cancer. - Source: PubMed
Publication date: 2025/03/07
Zhang JiayiZhang ZhengYang ChenqingLiu QingguangSong Tao - Protein-protein interactions (PPIs) are some of the most challenging target classes in drug discovery. Highly sensitive detection techniques are required for the identification of chemical modulators of PPIs. Here, we introduce PPI confocal nanoscanning (PPI-CONA), a miniaturized, microbead based high-resolution fluorescence imaging assay. We demonstrate the capabilities of PPI-CONA by detecting low affinity ternary complex formation between the human CDC34A ubiquitin-conjugating (E2) enzyme, ubiquitin, and CC0651, a small molecule enhancer of the CDC34A-ubiquitin interaction. We further exemplify PPI-CONA with an E2 enzyme binding study on CC0651 and a CDC34A binding specificity study of a series of CC0651 analogues. Our results indicate that CC0651 is highly selective toward CDC34A. We further demonstrate how PPI-CONA can be applied to screening very low affinity interactions. PPI-CONA holds potential for high-throughput screening for modulators of PPI targets and characterization of their affinity, specificity, and selectivity. - Source: PubMed
Publication date: 2024/08/21
Koszela JoannaPham Nhan TShave StevenSt-Cyr DanielCeccarelli Derek FOrlicky StevenMarinier AnneSicheri FrankTyers MikeAuer Manfred