Ask about this productRelated genes to: VNN3 antibody
- Gene:
- VNN3 NIH gene
- Name:
- vanin 3
- Previous symbol:
- -
- Synonyms:
- HSA238982
- Chromosome:
- 6q23.2
- Locus Type:
- gene with protein product
- Date approved:
- 2001-08-28
- Date modifiied:
- 2014-11-19
Related products to: VNN3 antibody
Related articles to: VNN3 antibody
- Family history is a known risk factor for multiple myeloma (MM) and its precursor condition, monoclonal gammopathy of undetermined significance (MGUS). Previous genome-wide association studies (GWASs) have identified 35 common loci associated with MM risk and 21 associated with MGUS. The objective of this study was to identify less common and rare genetic loci predisposing to MM/MGUS through whole-exome sequencing (WES)-based linkage analysis. - Source: PubMed
Publication date: 2025/11/10
Clay-Gilmour Alyssa ICamp Nicola JWei XiaomuEarle AngelNorman AaronSinnwell JasonDemangel DelphineGriffin RosalieDumontet CharlesMcKay JamesOffit KenJoseph VijaiChen SiweiO'Brien DanielRajkumar VincentKlein RobertKumar ShajiLipkin SteveVachon Celine M - Members of the vanin gene family include VNN1, VNN2, and VNN3 in humans. Although the functions of vanins have been widely examined in myeloid cells, their expression and functions have not been clarified in T lymphocytes. This study aimed to elucidate the significance of Vanin-2 (VNN2) on human peripheral blood T lymphocytes and study its expression in systemic lupus erythematosus (SLE). The differential expression of Vanins was analyzed by bioinformatics. VNN2 expressions in peripheral blood T-cell subsets were analyzed by single-cell RNA sequencing data and flow cytometry. Changes of VNN2 expression before and after T-cell activation were further clarified by western blot. The function of VNN2+ cells was studied by granzyme B (GZMB) and perforin detection. Changes in VNN2+ proportions in T-cell subsets of patients with SLE were further analyzed. In the present study, only VNN2 among vanins showed distinguishable expression in T cells. VNN2+ percentages were higher in CD8+ T cells those in CD4+ T cells. VNN2+ T cells were with a higher memory T-cell composition. VNN2 expression was significantly increased after T-cell stimulation. VNN2+ T cells had higher levels of GZMB and perforin secretion than VNN2- T cells. Clinically, VNN2+ percentages in T cells of patients with SLE were upregulated. Together, these data suggested that VNN2 is expressed in peripheral blood T cells characterized more GZMB and perforin secretion, and increased VNN2+ T cells in patients with SLE could reflect altered T-cell functions in vivo. - Source: PubMed
Liu ChenAlimu XiayidanZeng XingyueBahabayi AyibaotaGao YimingHu YuzheChen YangZhao JunjieLian XinranZheng MohanLiu TianciWang Pingzhang - To identify key and shared insulin resistance (IR) molecular signatures across all insulin-sensitive tissues (ISTs), and their potential targeted drugs. - Source: PubMed
Publication date: 2024/03/26
Xu JinyuanZhu LilinXu JieLin KailongWang JuanBi Yan-LongXu Guo-TongTian HaibinGao FurongJin CaixiaLu Lixia - Heart failure (HF) is a complex and heterogeneous manifestation of multiple cardiovascular diseases that usually occurs in the advanced stages of disease progression. The role of neutrophil extracellular traps (NETs) in the pathogenesis of HF remains to be explored. Bioinformatics analysis was employed to investigate general and single-cell transcriptome sequencing data downloaded from the GEO datasets. Differentially expressed genes (DEGs) associated with NETs in HF patients and healthy controls were identified using transcriptome sequencing datasets and were subsequently subjected to functional enrichment analysis. To identify potential diagnostic biomarkers, the random forest algorithm (RF) and the least absolute shrinkage and selection operator (LASSO) were applied, followed by the construction of receiver operating characteristic (ROC) curves to assess accuracy. Additionally, single-cell transcriptome sequencing data analysis identified key immune cell subpopulations in TAC (transverse aortic constriction) mice potentially involved in NETs regulation. Cell-cell communication analysis and trajectory analysis was then performed on these key cell subpopulations. We identified thirteen differentially expressed genes (DEGs) associated with NET through differential analysis of transcriptome sequencing data from HF (heart failure) samples. Utilizing the Random Forest and Lasso algorithms, along with experimental validation, we successfully pinpointed four diagnostic markers (CXCR2, FCGR3B, VNN3, and FPR2) capable of predicting HF risk. Furthermore, our analysis of intercellular communication, leveraging single-cell sequencing data, highlighted macrophages and T cells as the immune cell subpopulations with the closest interactions with neutrophils. Pseudo-trajectory analysis sheds light on the differentiation states of distinct neutrophil subpopulations. In this study, we conducted an in-depth investigation into the functions of neutrophil subpopulations that infiltrate cardiac tissue in TAC mice. Additionally, we identified four biomarkers (CXCR2, FCGR3B, VNN3, and FPR2) associated with NETs in HF. Our findings enhance the understanding of immunology in HF. - Source: PubMed
Publication date: 2023/10/24
Li XudongXu ChanghaoLi QiaoqiaoShen QingxiangZeng Long - The occurrence of ischemic stroke (IS) is associated with nonalcoholic fatty liver disease (NAFLD). The cancer burden of NAFLD complicated by IS also warrants attention. This study aimed to identify candidate immune biomarkers linked to NAFLD and IS and analyze their association with cancer. - Source: PubMed
Publication date: 2023/04/05
Bao HuayanLi JianwenZhang BoyangHuang JuSu DankeLiu Lidong