ZMAT1 antibody - middle region (ARP30058_P050)
- Known as:
- ZMAT1 (anti-) - middle region (ARP30058_P050)
- Catalog number:
- arp30058_p050
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Aviva Systems Biology
- Gene target:
- ZMAT1 antibody - middle region (ARP30058_P050)
Related genes to: ZMAT1 antibody - middle region (ARP30058_P050)
- Gene:
- ZMAT1 NIH gene
- Name:
- zinc finger matrin-type 1
- Previous symbol:
- -
- Synonyms:
- KIAA1789
- Chromosome:
- Xq22.1
- Locus Type:
- gene with protein product
- Date approved:
- 2004-09-06
- Date modifiied:
- 2016-10-05
Related products to: ZMAT1 antibody - middle region (ARP30058_P050)
Related articles to: ZMAT1 antibody - middle region (ARP30058_P050)
- Osteoclasts and osteoblasts play critical roles in bone remodeling, and their dysregulation leads to pathological bone loss. However, the precise mechanisms underlying the regulation of differentiation remain unclear. This study investigated the role of the transcriptional regulator Zinc Finger Matrin-Type 1 (Zmat1) in both osteoclastogenesis and osteoblastogenesis. Zmat1 deficiency resulted in decreased osteoclast activity, and bone resorption. Mechanistically, ZMAT1 was significantly upregulated during osteoclast differentiation and acted as a transcriptional repressor of the E3 ubiquitin ligase TRIM46, which regulates YAP1 degradation via K48-linked ubiquitination. Furthermore, Zmat1 deficiency enhanced osteoblast activity and bone formation. These findings highlight a novel ZMAT1/TRIM46/YAP1 axis, providing new insights into the transcriptional regulation of both osteoclast and osteoblast differentiation, and present potential therapeutic targets for osteoporosis. - Source: PubMed
Publication date: 2026/03/02
Chang XinyuHou YijinCui LikunYu HuiqiLiu RongSui JunhaoZheng ZhongLiu LuChen JieChen MengchenDing ChenXu ShuoguiXu ShengZhang Hao - The placenta is essential organ for oxygen and nutrient exchange between the mother and the developing fetus. Trophoblast lineage differentiation is closely related to the normal function of the placenta. Trophoblast stem cells (TSCs) can differentiate into all placental trophoblast subtypes and are widely used as in vitro stem cell models to study placental development and trophoblast lineage differentiation. Although extensive research has been conducted on the differentiation of TSCs, the possible parallels between trophoblast giant cells (TGCs) that are differentiated from TSCs in vitro and the various subtypes of TGC lineages in vivo are still poorly understood. In this study, mouse TSCs (mTSCs) were induced to differentiate into TGCs, and our mRNA sequencing (RNA-seq) data revealed that mTSCs and TGCs have distinct transcriptional signatures. We conducted a comparison of mTSCs and TGCs transcriptomes with the published transcriptomes of TGC lineages in murine placenta detected by single-cell RNA-seq and found that mTSCs tend to differentiate into maternal blood vessel-associated TGCs in vitro. Moreover, we identified the transcription factor (TF) ZMAT1, which may be responsible for the differentiation of mTSCs into sinusoid TGCs, and the TFs EGR1 and MITF, which are likely involved in the differentiation of mTSCs into spiral artery-associated TGCs. Thus, our findings provide a valuable resource for the mechanisms of trophoblast lineage differentiation and placental deficiency-associated diseases development. - Source: PubMed
Publication date: 2024/08/22
Dong Jun-PengXu Yi-ChiJiang Yi-NanJiang Rong-ZhenMa LiLi Xin-ZhuZeng Wei-HongLin Yi - Pancreatic adenocarcinoma (PAAD) is among the most devastating of all cancers with a poor survival rate. Therefore, we established a zinc finger (ZNF) protein-based prognostic prediction model for PAAD patients. The RNA-seq data for PAAD were downloaded from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Differentially expressed ZNF protein genes (DE-ZNFs) in PAAD and normal control tissues were screened using the "lemma" package in R. An optimal risk model and an independent prognostic value were established by univariate and multivariate Cox regression analyses. Survival analyses were performed to assess the prognostic ability of the model. We constructed a ZNF family genes-related risk score model that is based on the 10 DE-ZNFs (ZNF185, PRKCI, RTP4, SERTAD2, DEF8, ZMAT1, SP110, U2AF1L4, CXXC1, and RMND5B). The risk score was found to be a significant independent prognostic factor for PAAD patients. Seven significantly differentially expressed immune cells were identified between the high- and low-risk patients. Then, based on the prognostic genes, we constructed a ceRNA regulatory network that includes 5 prognostic genes, 7 miRNAs and 35 lncRNAs. Expression analysis showed ZNF185, PRKCI and RTP4 were significantly upregulated, while ZMAT1 and CXXC1 were significantly downregulated in the PAAD samples in all TCGA - PAAD, GSE28735 and GSE15471 datasets. Moreover, the upregulation of RTP4, SERTAD2, and SP110 were verified by the cell experiments. We established and validated a novel, Zinc finger protein family - related prognostic risk model for patients with PAAD, that has the potential to inform patient management. - Source: PubMed
Publication date: 2023/06/16
Zhu LeiTu DongLi RuixueLi LinZhang WenjieJin WenxiangLi TiehanZhu Hong - Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancer due to its highly aggressive phenotype and lack of effective biomarkers or treatment strategies. ZMAT1 belongs to the C2H2 type zinc finger family, but its biological function is rarely investigated, as well as its role in cancer development. - Source: PubMed
Publication date: 2022/04/07
Ma ZuyiLi ZhenchongWang ShujieZhou ZixuanLiu ChunshengZhuang HongkaiZhou QiHuang ShanzhouZhang ChuanzhaoHou Baohua - Fragile histidine triad () is a strong tumor suppressor gene, and cells deficient in are prone to acquiring cancer-promoting mutations. Due to its location, deletions within are common in cancer. Over 50% of cancers show loss of expression. However, to date, expression levels, gene regulatory networks, prognostic value, and target prediction of in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) have not been fully reported. Therefore, systematic analysis of expression, gene regulatory network, prognostic value, and targeted prediction in patients with LUAD and LUSC has important guiding significance, providing new therapeutic targets and strategies for clinical treatment of lung cancer to further improve the therapeutic effect of lung cancer. - Source: PubMed
Publication date: 2022/03/07
Situ YongliGao RuxiuLei LeiDeng LiXu QinyingShao Zheng