Ask about this productRelated genes to: BEST3 antibody
- Gene:
- BEST3 NIH gene
- Name:
- bestrophin 3
- Previous symbol:
- VMD2L3
- Synonyms:
- MGC40411, MGC13168
- Chromosome:
- 12q15
- Locus Type:
- gene with protein product
- Date approved:
- 2003-12-03
- Date modifiied:
- 2015-01-28
Related products to: BEST3 antibody
Related articles to: BEST3 antibody
- Gene mutations and altered epigenetic regulation of gene expression are characteristic features of malignant neoplasms. Combinations of these abnormalities form molecular features of individual tumors. In the large-scale Dependency Map (DepMap) project, the broad panels of human tumor cell lines are being tested for sensitivity to single gene inactivation. Using DepMap data, we have previously identified a set of genes termed supertargets, the deletion of which significantly reduced the survival of cells of a particular tissue origin while minimally impairing the unrelated cell lines. In the present study, we determined the factors of viability (inhibition of proliferation or death) of cell lines in which the supertarget genes have been deleted. We found that, in 79 % of cases, the reduced survival may be caused by epigenetic changes of gene expression. In the remaining 21 % of cases, it is associated with altered gene structure. Three groups containing different types of gene expression alterations can be distinguished. In the first group, the reduced cell survival correlated with a higher expression of the supertarget gene (e. g., SOX10 and HNF1B). In the second group, a gene different from the deleted supertarget was overexpressed (gene pairs: FOXA1 and SPDEF, TP63 and SERPINB13, etc.). The third group was characterized by correlations between low expression of a certain gene and tumor cell sensitivity (e. g., FAM126A and FAM126B, SMARCA2 and SMARCA4). The genetic changes included GOF mutations (KRAS, BRAF genes, etc.), LOF mutations (STAG1, SMARCA2 genes, etc.), gene fusions (BCR-ABL1, PAX3-FOXO1, etc.), and amplification (CPM, BEST3, etc.). Therefore, many different molecular mechanisms act as predictors of tumor cell response to inhibition of supertarget genes. - Source: PubMed
Chetverina D AKozelchuk N YLomaev D VShtil A AErokhin М M - - Source: PubMed
Publication date: 2025/06/16
Fitzgerald Rebecca CSasieni Peter - Mandibular prognathism (MP) is a type of malocclusion characterized by an imbalance in the anteroposterior position of the upper and lower jaws. The prevalence of MP in Japan is relatively high, suggesting a unique genetic background in the population. - Source: PubMed
Publication date: 2025/05/09
Hoshi-Numahata MarieNakanishi-Kimura AtsukoWatanabe HaruhisaNishiura MaiNishimoto ShinnosukeUeno FumiKoguchi RiyuOka AkiraSato YoshiakiKajii Takashi SIimura Tadahiro - This study investigates platelet-related subtypes in non-small cell lung cancer (NSCLC) and seeks to identify genes associated with prognosis, focusing on the clinical significance of the chloride ion channel gene BEST3. We utilised sequencing and clinical data from GEO, TCGA and the Xena platform, building a risk model based on genetic features. TCGA and GSE37745 served as training cohorts, while GSE50081, GSE13213, GSE30129 and GSE42127 were validation cohorts. Immunotherapy datasets (GSE135222, TCGA-SKCM) were also analysed. Differentially expressed genes (DEGs) were identified using Limma, subtypes through ConsensusClusterPlus and key prognostic genes using COX regression, Random Forest and LASSO-COX. BEST3 expression was validated by flow cytometry (FCM) and functional assays in A549 cells with lentiviral overexpression evaluated its impact on apoptosis, proliferation and migration. Three platelet-related subtypes were identified, with ten key prognostic genes (including BEST3). Gene Ontology (GO) analysis showed six genes involved in platelet pathways. BEST3 was highly expressed in the platelet subtype 1. Flow cytometry confirmed elevated BEST3 levels in NSCLC (35.9% vs. 27.3% in healthy individuals). Overexpression of BEST3 in NSCLC cells suppressed apoptosis and promoted proliferation and migration. The discovery of three platelet subtypes and the role of BEST3 in promoting tumour growth and migration highlights its potential as a therapeutic target and prognostic marker in NSCLC. - Source: PubMed
Ren HanxiaoDu Meng-ZeLiao YulinZu RuilingRao LubeiXiang RunZhang XingmeiLiu ShanZhang PeiyinLeng PingQi LingLuo Huaichao - The natural estrogens, including estrone (E), 17β-estradiol (E), and estriol (E), are frequently detected in aquatic environment at relatively high levels. The most commonly used biomarkers for estrogens are mainly expressed in the liver of fish. Analyses of the global gene profiling in fish liver cells under estrogens treatment will provide precise toxicogenomic information of the natural estrogens which is still not well known. In this study, we developed methods for isolation and culture of primary hepatocytes from liver tissue of male Chinese medaka (Oryzias sinensis), and analyzed the global gene expression profiling in the primary hepatocytes treated with E (1, 10, and 100 nmol/L), E (0.01, 0.1, 1, 10, and 100 nmol/L), and E (1, 10, and 100 nmol/L) using RNA-seq. It was found that 175, 248, and 218 genes were differentially expressed in the E, E, and E groups, respectively. These differentially expressed genes (DEGs) were mainly enriched in Gene Ontology (GO) terms of "response to estradiol", "response to estrogen", and "lipid transport". Of the DEGs, vitellogenin genes, including vtg1, vtg2, and vtg3, were the mostly up-regulated and followed by zona pellucida genes which include zp2.3, zp2l1 and zp3a.2. In addition, genes of slc41a1, zp2.1, esr1, pkd1l1, fam20ca, best3, etc. were also obviously up-regulated by the estrogens in concentration-dependent patterns. RT-qPCR was used to validate the results of RNA-seq and found that vtg2 should be the best biomarker gene for estrogen study, which could well response to natural estrogens and weak estrogenic chemical, propyl 4-hydroxybenzoate. - Source: PubMed
Publication date: 2024/04/04
Wang YueLv JunhuiXie ZhongtangHuai NarmaZhang KailunZhou YingReze YilihamuZhu HuaLi XiqingZhang Zhaobin