Ask about this productRelated genes to: ETV5 antibody
- Gene:
- ETV5 NIH gene
- Name:
- ETS variant 5
- Previous symbol:
- -
- Synonyms:
- ERM
- Chromosome:
- 3q27.2
- Locus Type:
- gene with protein product
- Date approved:
- 1996-07-26
- Date modifiied:
- 2016-10-05
Related products to: ETV5 antibody
Related articles to: ETV5 antibody
- Malignant melanoma is characterized by marked intratumoral heterogeneity and an immunosuppressive tumor microenvironment (TME), and resistance to immunotherapy remains common. We hypothesized that melanoma contains a poorly differentiated tumor subpopulation characterized by an ETV5-centered transcriptional program and TGF-β-associated intercellular crosstalk, which may contribute to malignant progression and immune evasion. EV-related signaling was explored as a potential, but unvalidated, component of this phenotype. - Source: PubMed
Publication date: 2026/04/16
Li HaiboZheng XinGong YueXi MengranSun HaoyuDing YantaoSun Qi - - Source: PubMed
Publication date: 2026/04/22
Yin YueLai WenjingHu ChangpengZhou HuyueLiu YaliLiu YafengYang MinHe KanLi Guobing - Physiological and pathological processes are governed by networks of genes called gene regulatory networks (GRNs). By reconstructing GRNs, we can accurately model how cells behave in their natural state and predict how genetic changes will affect them. Transcriptomic data of single cells are now available for a wide range of cellular processes in multiple species. Thus, a method building predictive GRNs from single-cell RNA sequencing (scRNA-seq) data, without any additional prior knowledge, could have a great impact on our understanding of biological processes and the genes playing a key role in them. To this aim, we developed IGNITE (Inference of Gene Networks using Inverse kinetic Theory and Experiments), an unsupervised machine learning framework designed to infer directed, weighted, and signed GRNs directly from unperturbed single-cell RNA sequencing data. IGNITE uses the GRNs to generate gene expression data upon single and multiple genetic perturbations. IGNITE is based on the inverse problem for a kinetic Ising model, a model from statistical physics that has been successfully applied to biological networks. We tested IGNITE on two complementary systems of pluripotent stem cells (PSCs): murine PSCs transitioning from the naïve to formative states, and human PSCs differentiating toward definitive endoderm. These datasets differ in species, developmental trajectory, and single-cell technology (10X vs. Fluidigm C1), providing a stringent test of generalizability. Using only unperturbed scRNA-seq data, IGNITE simulated single and multiple gene knockouts (KOs) and produced predictions consistent with independent experimental observations. In mouse PSCs, IGNITE generated wild-type data highly correlated with experiments and accurately predicted the effects of Rbpj, Etv5, and triple KOs, while in human PSCs it correctly predicted differentiation-promoting and differentiation-blocking perturbations, in agreement with published studies. These results demonstrate that IGNITE robustly captures gene interaction logic across species and technologies, enabling robust in silico perturbation analyses directly from scRNA-seq data. - Source: PubMed
Publication date: 2026/04/15
Corridori CleliaRomeike MerritNicoletti GiorgioBuecker ChristaSuweis SamirAzaele SandroMartello Graziano - Precise labeling of alveolar type 2 (AT2) cells is essential for elucidating lung development and injury responses. In this study, we evaluated Abca3 and Etv5-based genetic strategies for labeling AT2 cells in murine models. Using targeted genetic approaches, we generated Abca3-rtTA and Etv5-rtTA knock-in mouse lines and crossed them with pTRE-H2BGFP to create inducible reporter models driven by Abca3 or Etv5. Labeling specificity and efficiency were assessed by flow cytometry and co-immunostaining. Our results show that both Abca3 and Etv5 strategies faithfully label AT2 cells across developmental stages and following lung injury. Comprehensive analyses confirmed the high specificity and efficiency of labeling. These Abca3- and Etv5-driven systems offer robust tools for investigating AT2 cell biology and pathology and may serve as effective drivers for tetO-mediated gene knockout or overexpression studies specifically in AT2 cells in mouse models. - Source: PubMed
Publication date: 2026/02/06
Liu XueZhang XuexiLi ZekunKulur VrishikaLiu NingshanLiang JiurongJiang Dianhua - Genomic modifications underlie the evolution of human brain features, including a larger neocortex. Human accelerated regions (HARs) are highly conserved loci containing human-specific variants, with ∼50% identified as neurodevelopmental enhancers. However, the neurodevelopmental functions of HARs and their mechanisms of gene regulation are largely unknown. We show that human (Homo sapiens [Hs]) HAR1984 promotes neurogenesis by influencing species-specific transcription and chromatin interactions. Hs-HAR1984 knockin chimpanzee (Pan troglodytes [Pt]) cortical organoids contain more progenitors and neurons, whereas Pt-HAR1984 knockin human cortical organoids exhibit the opposite phenotype. Hs-HAR1984 knockin mice have increased neurogenesis and a thicker cortex with focal folds. HAR1984 exhibits chromatin looping with its target genes, ETV5 and TRA2B, in human fetal brains, which is notably reduced in chimpanzee, macaque, and mouse neural cells. We show that human-specific HAR1984 promotes these interactions and that human-specific ETS variant transcription factor 5 (ETV5) binding auto-regulates enhancer activity. Our study demonstrates molecular mechanisms underlying human-specific neurodevelopment, linking HARs to chromatin architecture, cortical fate, and expansion. - Source: PubMed
Publication date: 2026/03/19
Mosti FedericaLiu JingLam KatieDillon Noah RSkavicus SamanthaKapps Victoria AGjoni KetrinLee Chia-FangGlidewell Emily NHeaton Nicholas SPollard Katherine SSilver Debra L