ZNF574 (Human) Recombinant Protein (P01)
- Known as:
- ZNF574 (Human) Recombinant Protein (P01)
- Catalog number:
- H00064763-P01-25
- Product Quantity:
- 25 ug
- Category:
- -
- Supplier:
- Abno
- Gene target:
- ZNF574 (Human) Recombinant Protein (P01)
Related genes to: ZNF574 (Human) Recombinant Protein (P01)
- Gene:
- BZW2 NIH gene
- Name:
- basic leucine zipper and W2 domains 2
- Previous symbol:
- -
- Synonyms:
- HSPC028, MST017, MSTP017
- Chromosome:
- 7p21.1
- Locus Type:
- gene with protein product
- Date approved:
- 2002-08-05
- Date modifiied:
- 2016-10-05
- Gene:
- C2CD3 NIH gene
- Name:
- C2 calcium dependent domain containing 3
- Previous symbol:
- -
- Synonyms:
- DKFZP586P0123
- Chromosome:
- 11q13.4
- Locus Type:
- gene with protein product
- Date approved:
- 2007-10-17
- Date modifiied:
- 2016-06-08
- Gene:
- MBTD1 NIH gene
- Name:
- mbt domain containing 1
- Previous symbol:
- -
- Synonyms:
- SA49P01, FLJ20055
- Chromosome:
- 17q21.33
- Locus Type:
- gene with protein product
- Date approved:
- 2003-01-15
- Date modifiied:
- 2015-04-21
- Gene:
- TMEM63C NIH gene
- Name:
- transmembrane protein 63C
- Previous symbol:
- C14orf171
- Synonyms:
- DKFZp434P0111, CSC1, hsCSC1
- Chromosome:
- 14q24.3
- Locus Type:
- gene with protein product
- Date approved:
- 2003-12-10
- Date modifiied:
- 2017-10-17
- Gene:
- ZNF574 NIH gene
- Name:
- zinc finger protein 574
- Previous symbol:
- -
- Synonyms:
- FLJ22059
- Chromosome:
- 19q13.2
- Locus Type:
- gene with protein product
- Date approved:
- 2004-02-15
- Date modifiied:
- 2015-08-26
Related products to: ZNF574 (Human) Recombinant Protein (P01)
Related articles to: ZNF574 (Human) Recombinant Protein (P01)
- PURPOSE: The complex tumor microenvironment (TME) in ovarian cancer (OC), particularly the role of macrophage clusters, plays a pivotal role in driving cancer progression and determining patient prognosis. Metabolic reprogramming is a hallmark of tumorigenesis and is crucial in reshaping the TME and driving tumor progression. METHODS: Through a comprehensive single-cell RNA sequencing analysis of macrophage clusters in OC, this study integrated data from four independent datasets and identified hypermetabolic subpopulations within nine distinct mononuclear phagocyte clusters. RESULTS: The identified clusters were notably enriched in pathways related to the TCA cycle, glycolysis, and HIF-1 signaling, which are closely linked to tumor invasiveness and immune modulation. Transcriptional regulation analysis revealed key drivers of these metabolic changes, including ZNF574, BRCA1, and ATF5, which might be potential therapeutic targets. Cell-cell communication analysis demonstrated that hypermetabolic macrophage clusters engaged in extensive signaling with tumor epithelial cells, thereby influencing the immune TME and potentially contributing to immune evasion. A metabolism-related prognostic model was also established based on differentially expressed genes within hypermetabolic macrophages, which exhibited robust predictive power for overall survival in OC patients. CONCLUSIONS: Our findings reveal strong associations between metabolic reprogramming in tumor-associated macrophages and OC progression, suggesting their potential importance in shaping the TME. This study provides novel insights into possible therapeutic strategies and prognostic tools for OC, which warrant further functional validation. CLINICAL TRIAL NUMBER: Not applicable. - Source: PubMed
Publication date: 2026/04/03
Qi LinLi LiLiu YinuoLi WenshuMa YaruZhao Manyin - Necrosis by sodium overload (NECSO), a necrotic pathway triggered by sodium overload, has been implicated in various cellular processes. Its link to lung adenocarcinoma (LUAD) remained unexplored; this study investigated the potential relationship between NECSO and LUAD. - Source: PubMed
Publication date: 2025/10/28
Yuan JianxuZhou DalinYu Shengjie - Eukaryotic ribosome assembly is an intricate process that involves four ribosomal RNAs, 80 ribosomal proteins, and over 200 biogenesis factors that participate in numerous interdependent steps. The complexity and essentiality of this process create opportunities for deleterious mutations to occur, accumulate, and impact downstream cellular processes. "Dead-end" ribosome intermediates that result from biogenesis errors are rapidly degraded, affirming the existence of quality control (QC) pathway(s) that monitor ribosome assembly. However, the factors that differentiate between on-path and dead-end intermediates are unknown. We engineered a system to perturb ribosome assembly in human cells and discovered that faulty ribosomes are degraded via the ubiquitin-proteasome system. We identified ZNF574 as a key component of a QC pathway, which we term the ribosome assembly surveillance pathway (RASP). In an animal model, loss of ZNF574 leads to developmental defects, emphasizing the importance of RASP in organismal health. - Source: PubMed
Publication date: 2025/05/05
Akers Jared FLaScola MichaelBothe AdrianSuh HannaJung CarmenStolp Zachary DGhosh TanushreeYan Liewei LWang YumingMacurak MichelleDevan AmishaMcKinney Mary CGrismer Tarabryn SReyes Andres VRoss Eric JHu TianyiXu Shou-LingBan NenadKostova Kamena K - Eukaryotic ribosome assembly is an intricate process that involves four ribosomal RNAs, 80 ribosomal proteins, and over 200 biogenesis factors that take part in numerous interdependent steps. This complexity creates a large genetic space in which pathogenic mutations can occur. Dead-end ribosome intermediates that result from biogenesis errors are rapidly degraded, affirming the existence of quality control pathway(s) that monitor ribosome assembly. However, the factors that differentiate between on-path and dead-end intermediates are unknown. We engineered a system to perturb ribosome assembly in human cells and discovered that faulty ribosomes are degraded via the ubiquitin proteasome system. We identified ZNF574 as a key component of a novel quality control pathway, which we term the Ribosome Assembly Surveillance Pathway (RASP). Loss of ZNF574 results in the accumulation of faulty biogenesis intermediates that interfere with global ribosome production, further emphasizing the role of RASP in protein homeostasis and cellular health. - Source: PubMed
Publication date: 2024/04/29
Akers JaredBothe AdrianSuh HannaJung CarmenStolp ZacharyGhosh TanushreeYan LieweiWang YumingGrismer TarabrynReyes AndreasHu TianyiXu ShoulingBan NenadKostova Kamena - Due to the demand for high-quality animal protein, there has been consistent interest in how to obtain more high-quality beef. As well-known, the adipose content of beef has a close connection with the taste and quality of beef, and cattle with different energy or protein diet have corresponding effects on the lipid metabolism of beef. Thus, we performed weighted gene co-expression network analysis (WGCNA) with subcutaneous adipose genes from Norwegian red heifers fed different diets to identify hub genes regulating bovine lipid metabolism. For this purpose, the RNA sequencing data of subcutaneous adipose tissue of 12-month-old Norwegian red heifers ( = 48) with different energy or protein levels were selected from the GEO database, and 7,630 genes with the largest variation were selected for WGCNA analysis. Then, three modules were selected as hub genes candidate modules according to the correlation between modules and phenotypes, including pink, magenta and grey60 modules. GO and KEGG enrichment analysis showed that genes were related to metabolism, and participated in Rap, MAPK, AMPK, VEGF signaling pathways, and so forth. Combined gene interaction network analysis using Cytoscape software, eight hub genes of lipid metabolism were identified, including and . Further, the expression levels of hub genes in the cattle tissue were also measured to verify the results, and we found hub genes in higher expression in muscle and adipose tissue in adult cattle. In summary, we predicted the key genes of lipid metabolism in the subcutaneous adipose tissue that were affected by the intake of various energy diets to find the hub genes that coordinate lipid metabolism, which provide a theoretical basis for regulating beef quality. - Source: PubMed
Publication date: 2022/11/09
Wang XiaohuiWang JianfangRaza Sayed Haidar AbbasDeng JiahanMa JingQu XiaopengYu ShengchenZhang DianqiAlshammari Ahmed MohajjaAlmohaimeed Hailah MZan Linsen