ANO2
- Known as:
- ANO2
- Catalog number:
- 001668A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ANO2
Related genes to: ANO2
- Gene:
- ANO2 NIH gene
- Name:
- anoctamin 2
- Previous symbol:
- C12orf3, TMEM16B
- Synonyms:
- -
- Chromosome:
- 12p13.31
- Locus Type:
- gene with protein product
- Date approved:
- 2000-08-24
- Date modifiied:
- 2016-10-04
Related products to: ANO2
Related articles to: ANO2
- : Lung adenocarcinoma (LUAD) is the most common subtype of non-small-cell lung cancer and is one of the leading causes of cancer-related deaths globally. Despite current developments, reliable biomarkers for effective diagnosis, prognosis, and patient stratification are still lacking. : We analyzed publicly available TCGA-LUAD and GEO datasets using integrative bioinformatics approaches, including differential gene expression, weighted gene co-expression network analysis (WGCNA), survival modeling, mutation profiling, immune cell infiltration scores, machine learning, and bulk-RNA and single-cell RNA sequencing. : A total of 5581 deregulated genes were identified, with the turquoise module (298 genes) showing strong correlation with LUAD (Corr = -0.79, < 2.2 × 10). The integration of two analyses yielded 281 overlapping genes, out of which nine candidates (, , , , , , , , and ) were selected via LASSO Cox regression to build a prognostic risk model. High-risk patients have significantly worse survival (log-rank = 0.0027). exhibited the highest mutation frequency, with 41% of TCGA-LUAD samples harboring mutations. Among all mutation events, missense mutations were the most common (47%). GSEA and KEGG analysis revealed significant enrichment of pathways such as nucleocytoplasmic transport, oxidative phosphorylation, protein processing in the endoplasmic reticulum, ribosome, and ribosome biogenesis in high-risk patients. Immune infiltration analysis indicated differences in immune cell infiltration scores between high- and low-immune-score groups, with M1 macrophages showing strong statistical correlation with aDC, monocytes, and CD4 naïve T cells. Machine learning confirmed that the combined Enet+PLS model predicted as a core predictor, and was successfully validated in independent GEO datasets (GSE43458 and GSE31210), showing strong diagnostic accuracy (AUCs up to 0.98). Finally, single-cell RNA sequencing revealed that was mostly expressed in fibroblasts and myeloid cells, with significantly downregulated in LUAD compared with normal samples. : This study integrates multi-omics and machine learning to highlight as a promising candidate biomarker, with potential diagnostic and prognostic relevance in LUAD. The nine-gene risk signature stratified patients by survival outcomes in the TCGA cohort. Genomic and immune analyses revealed features associated with the high-immune-score group. As the study is entirely computational and the prognostic model lacks external survival validation, these findings should be regarded as preliminary and hypothesis-generating, requiring future independent validation and functional studies to confirm the biological significance and clinical utility of and related genes. - Source: PubMed
Publication date: 2026/09/11
Arya RakeshBiswas Viplov KumarShakya HemlataMajumdar MoumitaKim Jong-Joo - Precise genetic access to the zebrafish habenula remains limited by a scarcity of compact, sequence-defined cis-regulatory elements (CREs). Here, we integrated developmental expression mapping, deep-learning predictions on long-range sequences, and in vivo reporter assays to identify compact regulatory sequences driving habenular expression. - Source: PubMed
Publication date: 2026/09/07
Li ZeranLiu ShanshanZhang QuanZhang CuizhenPeng Gang - Epstein-Barr virus (EBV) is a critical risk factor for multiple sclerosis (MS), but the pathogenic mechanisms remain elusive. To clarify its role in MS, we examined the sequence of EBV-related antibody responses over a broad period before the clinical onset of MS, from early childhood to middle age. A nested case-control study was performed by linking Swedish MS registries with biobanks to identify pre-symptomatic samples from individuals who later developed MS and matched controls. Leveraging these samples, we analysed the immune responses to EBV in and before the prodromal phase of MS. Antibodies against EBV (viral capsid antigen, VCA; EBV nuclear antigen 1, EBNA1; early antigen-diffuse, EA-D) and the putative autoantibody target Anoctamin 2 (ANO2) were quantified by immunoassay. Serum neurofilament light chain (S-NfL), a marker of axonal injury, was quantified by single-molecule array. Ratios of these markers were calculated within each matched case-control set, plotted against time to the clinical onset of MS, and analysed with Loess regression to visualise the temporal order of events on group level. Samples from 981 cases and 1278 controls were included. Median age at blood sampling was 22 years and 32% of the participants were children or adolescents. The median time from the blood sample to the clinical onset of MS was 9 years. On the group level, we observed the following sequence of events: Seroreactivity against lytic EBV antigens (VCA-IgG, VCA-IgM, EA-D) - characterizing primary EBV infection and reactivation - were significantly higher in cases than in controls more than 20 years before MS onset and onwards. Increased seroreactivity against the latent antigen EBNA1 was observed 15 years before onset, followed by increased ANO2 seroreactivity from 9 years and onwards. Finally, a significant elevation of S-NfL was observed from 7 years prior to MS onset. These findings demonstrate a more extensive lytic EBV infection in the decades before MS onset, consistent with the hypothesis that EBV is a driver of MS development. The sequence of increasing seroreactivity against EBNA1 and ANO2 was closely followed by biochemical signs of neuroaxonal injury, suggesting epitope spreading from EBNA1 before the subclinical onset of neuroaxonal damage. This sequence of events supports the hypothesis that EBV infection promotes autoreactive immune cells contributing to MS pathogenesis. - Source: PubMed
Publication date: 2026/08/22
Grut ViktorIngvarsson JensBiström MartinJons DanielMichels Birgitta EButt JuliaWaterboer TimBergström TomasNilsson StaffanThomas Olivia GOlsson TomasSundström Peter - Anoctamin 2 (ANO2, TMEM16B) is a calcium-activated chloride channel best known for its role in sensory neurons, yet its expression in multiple brain regions associated with dopamine-related signaling, including the prefrontal cortex, striatum, substantia nigra, ventral tegmental area, and cerebellum, suggests broader functions in central neural circuits. However, the contribution of ANO2 to dopamine-related neural function and behavior remains undefined. To address this question, we generated ANO2-deficient mice using CRISPR-Cas9-mediated gene editing and examined their behavioral and neurochemical phenotypes. ANO2 knockout mice exhibited age-dependent hyperactivity, impaired inhibitory behavioral control, altered aversive/risk-related responses, and selective motor coordination deficits, while spatial learning and memory were preserved. Neurochemically, ANO2 deficiency resulted in reduced tyrosine hydroxylase expression and phosphorylation, decreased dopamine levels despite unchanged dopamine transporter expression, region- and subtype-dependent dopamine receptor alterations, and reduced downstream signaling markers across cortico-striatal and cerebellar circuits. These changes suggest impaired dopamine biosynthesis and altered dopamine-related signaling rather than broad disruption of dopaminergic neuronal identity. Together, these findings identify ANO2 as a potential modulator of dopamine-related signaling and inhibitory behavioral control, expanding current understanding of calcium-activated chloride channel function in neural circuits relevant to behavioral domains implicated in neuropsychiatric disorders. - Source: PubMed
Publication date: 2026/08/19
Cho EunsilBae JooeunSong Jae GwangSeo JoeunKwon Seung-HaeHwang Eun MiSung Young HoonKim Hyung WookPark Jae-Yong - The gas phase reactivity of actinide monocations (Th, Pa, U, Np, Pu, Am, Cm and Cf) with O and CO was studied using inductively coupled plasma mass spectrometry (ICP-MS). Total reactions were observed for all actinides, except californium, for which only partial reactions occurred. Depending on the actinide, different reaction products are formed. AnO and AnO products are formed sequentially for Th, Pa, U, Np and Pu, whereas only AnO is formed for Am, Cm and Cf. Among all investigated actinides, Cf is the least reactive. The results are compared to experimental and calculated bond dissociation energies of the AnO and AnO products. The smallest bond dissociation energies are found for AmO, CmO and CfO, suggesting that these species are the least stable, as expected given their lack of formation. Among the actinide monoxides, the AmO and CfO species exhibit the lowest bond dissociation energy, consistent with their weaker reactivity toward O and CO compared with the other actinides. - Source: PubMed
Publication date: 2026/07/29
Goujet MathildeQuemet AlexandreGuillaumont Dominique