Ask about this productRelated genes to: OCEL1 antibody
- Gene:
- OCEL1 NIH gene
- Name:
- occludin/ELL domain containing 1
- Previous symbol:
- -
- Synonyms:
- FLJ22709
- Chromosome:
- 19p13.11
- Locus Type:
- gene with protein product
- Date approved:
- 2006-08-22
- Date modifiied:
- 2014-11-18
Related products to: OCEL1 antibody
Related articles to: OCEL1 antibody
- Processes that control tissue inflammation are essential to restore homeostasis after infection. The transcription factor NF-κB plays a central role in coordinating inflammation, but the mechanisms that regulate NF-κB signaling are not fully understood. Here, we identify () as a negative regulator of NF-κB signaling. In the absence of infection, human OCEL1 bound to the LZ domain of NEMO (NF-κB essential modulator) and inhibited TRAF6-mediated K63-linked polyubiquitination, suppressing NF-κB signaling. During infection, OCEL1-mediated negative regulation of NF-κB signaling was impaired by FK506-binding protein bacterial peptidyl-prolyl cis/trans isomerases, which bound to OCEL1 in an amino-terminal palindromic proline-rich element (PPE) and promoted its degradation. Mice expressing a mutant version of the human PPE had dampened inflammation and increased susceptibility to infection. Thus, the PPE of human OCEL1 senses bacterial infection, and its degradation releases the suppression of NF-κB signaling and promotes inflammation. - Source: PubMed
Publication date: 2025/12/19
Li ZhiWang JingDu JuanLi JunSong YananZhu JunjiLi ZiyiZhou WeiChen ShiyunYang LijieFeng MaohuiCai XiaolianStacey Katryn JXiao Wuhan - Peptide YY (PYY), produced by endocrine L cells in the gut, is known for its critical role in regulating gastrointestinal functions as well as satiety. However, how these processes are integrated with maintaining a healthy gut microbiome composition is unknown. Here, we show that lack of PYY in mice leads to distinct changes in gut microbiome composition that are diet-dependent. While under chow diet only slight differences in gut microbiome composition could be observed, high-fat diet (HFD) aggravated these differences. Specifically an increased abundance of the Bacteroidetes phylum with a corresponding decrease of the Firmicutes/Bacteroidetes ratio could be detected in Pyy-knockout (KO) mice in response to HFD. Detailed analysis of the Bacteroidetes phylum further revealed that the Alistipes genus belonging to the Rikenellaceae family, the Parabacteroides belonging to the Tannerellaceae family, as well as Muribaculum were increased in Pyy-KO mice. In order to investigate whether these changes are associated with changed markers of gut barrier and immunity, we analyzed the colonic expression of various pro-inflammatory cytokines, as well as tight junction proteins and mucin 2, and identified increased mRNA expression of the tight junction proteins Cldn2 and Ocel1 in Pyy-KO mice, while pro-inflammatory cytokine expression was not significantly altered. Together these results highlight a critical gene-environment interaction between diet and the gut microbiome and its impact on homeostasis of the intestinal epithelium under conditions of reduced PYY signaling which is commonly seen under obese conditions. - Source: PubMed
Farzi AitakIp Chi KinReed FeliciaEnriquez RonaldoZenz GeraldineDurdevic MarijaZhang LeiHolzer PeterHerzog Herbert - Polycystic ovary syndrome (PCOS) is an endocrine and metabolic disorder affecting up to 15% of women at reproductive age. The main features of PCOS are hyperandrogenism and irregular menstrual cycles together with metabolic dysfunctions including hyperinsulinemia and insulin resistance and a 4-fold increased risk of developing type 2 diabetes. Despite the high prevalence the pathophysiology of the syndrome is unclear. Insulin resistance in women with PCOS likely affect the skeletal muscle and recently it was demonstrated that changes in DNA methylation affects the gene expression in skeletal muscle that in part can explain their metabolic abnormalities. The objective of this work was to combine gene expression array data from different datasets to improve statistical power and thereby identify novel biomarkers that can be further explored. In this narrative review, we performed a meta-analysis of skeletal muscle arrays available from Gene Expression Omnibus and from publications. The eligibility criteria were published articles in English, and baseline (no treatment) skeletal muscle samples from women with PCOS and controls. The R package Metafor was used for integration of the datasets. One hundred and fourteen unique transcripts were differentially expressed in skeletal muscle from women with PCOS vs. controls ( < 0.05), 87% of these transcripts have not been previously identified as altered in PCOS muscle. , and had the largest differential increase in expression, and , and had the largest decrease in expression. Two genes, and were consistently upregulated ( < 0.05) in the individual analyses and meta-analysis. Based on the meta-analysis, we identified several dysregulated immunometabolic pathways as a part of the molecular mechanisms of insulin resistance in the skeletal muscle of women with PCOS. The transcriptomic data need to be verified by functional analyses as well as proteomics to advance our understanding of PCOS specific insulin resistance in skeletal muscle. - Source: PubMed
Publication date: 2020/10/22
Manti MariaStener-Victorin ElisabetBenrick Anna - Occludin/ELL domain containing 1 (OCEL1) is a novel discovered protein with its molecular functions remaining unknown and its role in lung cancer has not been directly explored. - Source: PubMed
Deng MingmingZhang ZheLiu BofangLv QingjieHou KezuoChe XiaofangQu XiujuanLiu YunpengZhang YeHu Xuejun - Neoadjuvant chemotherapy (NAC) is the major preoperative treatment of breast cancer (BC) with negative human epidermal growth factor receptor 2 (HER2), and the efficacy of NAC and the optimization of regimen are under intensive research. The current study aimed to define the predictive biomarkers for paclitaxel (PTX) response in NAC of HER2-negative BC. Data from GSE25065, GSE26065, GSE41998, as well as drug sensitivity data of breast and ovarian cancer cell line from NCI60, were used. Through logistic regression, COX regression, and correlation analysis with bootstrapping, we found that four genes (CDK8, FAM64A, MARC2, and OCEL1) were associated with drug sensitivity of PTX. The four gene "≥3" model had the best classification accuracy. Subgroup analysis found that the model performed well in the hormone receptor positive, HER2-negative subgroup and did not perform well in the triple-negative subgroup. Decision curve analysis showed that the model could enhance the predictive effect of clinical features. Subsequent gene set enrichment analysis, network analysis showed that these genes may be related to the cell cycle, mitosis and other pathways. The current study demonstrated the promising potential of the novel four-gene signature as a predictive biomarker for pathological complete response of HER2-negative BC patients and indicated the drug sensitivity of PTX. - Source: PubMed
Publication date: 2018/12/05
Li ZhiZhang YeZhang ZheZhao ZhenkunLv Qingjie