Zbtb7c Antibody - middle region (ARP31642_P050)
- Known as:
- Zbtb7c Antibody - middle region (ARP31642_P050)
- Catalog number:
- arp31642_p050
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Aviva Systems Biology
- Gene target:
- Zbtb7c Antibody - middle region (ARP31642_P050)
Related genes to: Zbtb7c Antibody - middle region (ARP31642_P050)
- Gene:
- ZBTB7C NIH gene
- Name:
- zinc finger and BTB domain containing 7C
- Previous symbol:
- ZBTB36
- Synonyms:
- ZNF857C
- Chromosome:
- 18q21.1
- Locus Type:
- gene with protein product
- Date approved:
- 2005-01-07
- Date modifiied:
- 2014-11-18
Related products to: Zbtb7c Antibody - middle region (ARP31642_P050)
Related articles to: Zbtb7c Antibody - middle region (ARP31642_P050)
- Meningiomas are among the most prevalent central nervous system (CNS) tumors, with up to 20% of cases exhibiting recurrence or aggressive behavior. Hypoxia is a key driver of malignant transformation and therapeutic resistance, yet its molecular basis in meningioma remains poorly understood. - Source: PubMed
Publication date: 2025/12/24
Dalal MansiJoshi RitankshaAjithkumar PriyadarshanaSingh JyotsnaSuri VaishaliChatterjee AniruddhaKulshreshtha Ritu - Copy number variation (CNV) serves as a crucial contributor to genetic diversity, exerting a profound influence on phenotypic diversity, traits of economic significance, and the evolutionary trajectory of livestock species. This study aimed to dissect the genome-wide CNV landscape of the Nanyang cattle line (Nanyang, Pinnan, and Xianan cattle) to identify functionally relevant CNVs associated with key economic traits and breed differentiation. In this study, 27 resequencing datasets were utilized to analyze the genome-wide distribution of CNVs in three breeds of Nanyang cattle (Nanyang cattle, Pinnan cattle, and Xianan cattle) based on the latest reference genome ARS-UCD2.0. This study identified a total of 97,564 CNVs, and after merging CNVs with overlapping genomic positions, we obtained 10,349 CNV regions (CNVRs), accounting for 1.48% of the reference genome. Functional enrichment analysis showed that CNVR genes were mainly involved in organ development, neural regulation, immune regulation, and metabolism. In addition, 131 CNVRs overlapped with 81 quantitative trait loci (QTLs), such as growth and carcass QTL, multiple birth QTL, tenderness score QTL, and antal follicle number QTL. Additionally, , and were found to overlap with body weight QTLs. Furthermore, a selective sweep analysis of CNVR revealed that numerous genes (, etc.) exhibited divergent copy numbers between breeds. Conclusively, this study facilitates comprehension of the genetic characteristics of the Nanyang cattle line at the CNV level and furnishes valuable information for the advancement of the Nanyang cattle line breeding system. - Source: PubMed
Publication date: 2025/05/12
Dang DongZhang LilianGao LutaoPeng LinRao YaoYang Linnan - Huge genetic diversity is evident among the diverse goat breeds in terms of production, reproduction, adaptability, growth, disease resistance and thermo-tolerance. This diversity is an outcome of both natural and artificial selection acting on the caprine genome over the years. A fine characterization of whole genome variation is now possible by employing Next Generation Sequencing (NGS) technologies. To explore underlying genetics, genome-wide analysis of genetic markers is the best resolution. The study strived to capture variation in terms of CNV/CNVRs among 11 Indian goat breeds. In this study, the first ever resequencing-based CNV/CNVR distribution of Indigenous goat breeds was delineated, providing a sizable addition to the prior caprine CNVRs reported. Different diversity metrics were analyzed using identified CNVR. Principal component analysis (PCA) showed separate clustering of Kanniadu (KAN) and Jharkhand Black (JB) from other breeds under the study, indicating their unique genetic profile as the former breeds were sampled from institutional farms. The admixture analysis and introgression revealed by f3 statistics suggested distinct genetic structuring of JB, KAN and TEL(Tellicherry) as compared to the rest of the studied populations. Apart from this, we also identified 32 selection signatures through V (Variance-stabilizing transformation) method and key genes such as ZBTB7C, BHLHE22, AGT were found elucidating the genetic architecture of hot and cold adaptation in Indian goats. Information generated hereby in the form of 32,711 autosomal CNVRs and the custom scripts ( https://github.com/kkokay07/Climate-Variables-Analysis.git , https://github.com/chau-mau/SelectCNVR.git and https://github.com/chau-mau/CNVrecaller.git ) will be of relevance in further studies on copy number based genetics. - Source: PubMed
Publication date: 2025/04/02
Sukhija NidhiKanaka K KGanguly IndrajitDixit SatpalSingh SanjeevGoli Rangasai ChandraRathi PallaviNandini P BKoloi Subrata - Diabetic cardiomyopathy (DCM) is one of leading causes of diabetes-associated mortality. The gut microbiota-derived branched-chain amino acids (BCAA) have been reported to play a central role in the onset and progression of DCM, but the potential mechanisms remain elusive. - Source: PubMed
Publication date: 2024/08/24
Zheng HongZhang XiLi ChenWang DieShen YuyingLu JiahuiZhao LiangcaiLi XiaokunGao Hongchang - Cancer is one of the major causes of death worldwide and the development of multidrug resistance (MDR) in cancer cells is the principal cause of chemotherapy failure. To gain insights into the specific mechanisms of MDR in cancer cell lines, we developed a novel method for the combined analysis of recently published datasets on drug sensitivity and CRISPR loss-of-function screens for the same set of cancer cell lines. For our analysis, we first selected cell lines that consistently exhibit drug resistance across several classes of compounds. We then identified putative resistance genes for each class of compound and used inferred gene regulatory networks (GRNs) to study possible mechanisms underlying the development of MDR in the identified cancer cell lines. We show that the same method of analysis can also be used to identify cell lines that consistently exhibit resistance to the gene knockout effect of the CRISPR-Cas9 technique and to study the possible underlying mechanisms. In the GRN associated to the drug resistant cell lines, we identify genes previously associated with resistance (UHMK1, RALYL, MGST3, USP9X, and ESRG), genes for which an indirect association can be identified (SPINK13, LINC00664, MRPL38, and EMILIN3), and genes that are found to be overexpressed in non-resistant cancer cell lines (MRPL38, EMILIN3 and RALYL). In the GRNs associated to the CRISPR-Cas9 resistance mechanism, none of the identified genes has been previously reported in the admittedly sparse literature on the subject. However, some of these genes have a common role: APBB2, RUNX1T1, ZBTB7C, and ISX regulate transcription, while APBB2, BTG3, ZBTB7C, SZRD1 and LEF1 have a function in regulating proliferation, suggesting a role for these two pathways. While our results are specific for the lung cancer cell lines we selected for this work, our method of analysis can be applied to cell lines from other tissues and for which the required data is available. - Source: PubMed
Publication date: 2024/03/05
Tomasi FrancescaPozzi MatteoLauria Mario