ZNF189 antibody - middle region (ARP33547_P050)
- Known as:
- ZNF189 (anti-) - middle region (ARP33547_P050)
- Catalog number:
- arp33547_p050
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Aviva Systems Biology
- Gene target:
- ZNF189 antibody - middle region (ARP33547_P050)
Related genes to: ZNF189 antibody - middle region (ARP33547_P050)
- Gene:
- ZNF189 NIH gene
- Name:
- zinc finger protein 189
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 9q31.1
- Locus Type:
- gene with protein product
- Date approved:
- 1996-12-12
- Date modifiied:
- 2016-10-05
Related products to: ZNF189 antibody - middle region (ARP33547_P050)
Related articles to: ZNF189 antibody - middle region (ARP33547_P050)
- Defects in adipocyte lipolysis drive multiple aspects of cardiometabolic disease, but the transcriptional framework controlling this process has not been established. To address this, we performed a targeted perturbation screen in primary human adipocytes. Our analyses identified 37 transcriptional regulators of lipid mobilization, which we classified as (i) transcription factors, (ii) histone chaperones, and (iii) mRNA processing proteins. On the basis of its strong relationship with multiple readouts of lipolysis in patient samples, we performed mechanistic studies on one hit, , which encodes the zinc finger protein 189. Using mass spectrometry and chromatin profiling techniques, we show that ZNF189 interacts with the tripartite motif family member TRIM28 and represses the transcription of an adipocyte-specific isoform of phosphodiesterase 1B (PDE1B2). The regulation of lipid mobilization by ZNF189 requires PDE1B2, and the overexpression of PDE1B2 is sufficient to attenuate hormone-stimulated lipolysis. Thus, our work identifies the ZNF189-PDE1B2 axis as a determinant of human adipocyte lipolysis and highlights a link between chromatin architecture and lipid mobilization. - Source: PubMed
Publication date: 2024/01/03
Ludzki Alison CHansen MattiasZareifi DanaeJalkanen JuttaHuang ZhiqiangOmar-Hmeadi MuhmmadRenzi GianlucaKlingelhuber FelixBoland SebastianAmbaw Yohannes AWang NaDamdimopoulos AnastasiosLiu JianpingJernberg TomasPetrus PaulArner PeterKrahmer NatalieFan RongrongTreuter EckardtGao HuiRydén MikaelMejhert Niklas - The pathophysiological mechanisms, especially the roles of immune cells, underlying early stages of severe burn injury have not yet been fully clarified. Here, we analyzed circulating neutrophils (PMNs) in healthy donors and early burned patients by single-cell RNA sequencing to provide a comprehensive transcriptional landscape of PMNs in heterogeneity and functional multiplicity. Circulating PMNs in the healthy donors and burned groups were divided into five subgroups (G3, G4, G5a, G5b, G5c) with different functions. The dominant subsets of PMNs in homeostasis and burn injury significantly differed between groups. In addition, cells in the same subpopulation had the same core identity markers but performed different functions in healthy and burned states. Under burned conditions, PMN activation was very evident and accompanied by clear degranulation and metabolic abnormalities. Interestingly, was found that PMN activation, degranulation, chemotaxis, phagocytosis and reactive oxygen species (ROS) production in burned patients significantly differed between day 1 and days 2 or 3, thus providing a theoretical basis for PMN interventions in early burn stages. Significantly, previously undescribed transcription factors were also identified, including ZNF-787, ZNF-467, ZNF-189, ZNF-770, ZNF-262. In conclusion, this study conducted for the first time a detailed analysis of the heterogeneity and functional multiplicity of PMNs in early stages of severe burn injuries. Our findings attempted to clarify the influence of PMN heterogeneity on the pathophysiology and related mechanisms of burn injuries, which can provide new ideas for further research in burn intervention. - Source: PubMed
Publication date: 2022/01/18
Huang JiaminZhu ZhechenJi DongdongSun RanYang YunxiLiu LuShao YimingChen YiLi LinbinSun Binwei - Human papillomavirus (HPV) integrating into human genome is the main cause of cervical carcinogenesis. HPV integration selection preference shows strong dependence on local genomic environment. Due to this theory, it is possible to predict HPV integration sites. However, a published bioinformatic tool is not available to date. Thus, we developed an attention-based deep learning model DeepHPV to predict HPV integration sites by learning environment features automatically. In total, 3608 known HPV integration sites were applied to train the model, and 584 reviewed HPV integration sites were used as the testing dataset. DeepHPV showed an area under the receiver-operating characteristic (AUROC) of 0.6336 and an area under the precision recall (AUPR) of 0.5670. Adding RepeatMasker and TCGA Pan Cancer peaks improved the model performance to 0.8464 and 0.8501 in AUROC and 0.7985 and 0.8106 in AUPR, respectively. Next, we tested these trained models on independent database VISDB and found the model adding TCGA Pan Cancer performed better (AUROC: 0.7175, AUPR: 0.6284) than the model adding RepeatMasker peaks (AUROC: 0.6102, AUPR: 0.5577). Moreover, we introduced attention mechanism in DeepHPV and enriched the transcription factor binding sites including BHLHA15, CHR, COUP-TFII, DMRTA2, E2A, HIC1, INR, NPAS, Nr5a2, RARa, SCL, Snail1, Sox10, Sox3, Sox4, Sox6, STAT6, Tbet, Tbx5, TEAD, Tgif2, ZNF189, ZNF416 near attention intensive sites. Together, DeepHPV is a robust and explainable deep learning model, providing new insights into HPV integration preference and mechanism. Availability: DeepHPV is available as an open-source software and can be downloaded from https://github.com/JiuxingLiang/DeepHPV.git, Contact: huzheng1998@163.com, liangjiuxing@m.scnu.edu.cn, lizheyzy@163.com. - Source: PubMed
Tian RuiZhou PingLi MengyuanTan JinfengCui ZifengXu WeiWei JingyueZhu JingjingJin ZhuangCao ChenFan WeiwenXie WeilingHuang ZhaoyueXie HongxianYou ZeshanNiu GangWu CanbiaoGuo XiaofangWeng XuchuTian XunYu FubingYu ZhiyingLiang JiuxingHu Zheng - The results obtained with dynamic PET (dPET) were compared to gene expression data obtained in patients with gastrointestinal stromal tumors (GIST). The primary aim was to assess the association of the dPET results and gene expression data. - Source: PubMed
Publication date: 2012/06/04
Strauss Ludwig GDimitrakopoulou-Strauss AntoniaKoczan DirkPan LeyunHohenberger Peter - Fetal conditions can in principle be affected by the mother's genotype working through the prenatal environment. - Source: PubMed
Publication date: 2010/07/09
Jugessur AstanandShi MinGjessing Håkon KristianLie Rolv TerjeWilcox Allen JamesWeinberg Clarice RingChristensen KaareBoyles Abee LowmanDaack-Hirsch SandraNguyen Truc TrungChristiansen LeneLidral Andrew CarlMurray Jeffrey Clark