| Name | ARHGEF26 antisense RNA 1 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n ARHGEF26‐AS1, a long non‐coding RNA, has emerged as a multifunctional regulator in diverse pathological contexts, with a prominent role in tumor biology. In esophageal squamous cell carcinoma, ARHGEF26‐AS1 functions as a competing endogenous RNA that sponges miR‐372–3p, thereby de‐repressing ADAM23 expression; this mechanism leads to enhanced ferroptosis and is associated with decreased cell proliferation and migration (a."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In colon cancer, ARHGEF26‐AS1 is incorporated into competing endogenous RNA networks, and its dysregulated expression correlates with patient prognosis, suggesting its utility as a prognostic biomarker (b."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " Similarly, in glioma and low‐grade glioma, ARHGEF26‐AS1 is part of autophagy‐ and ferroptosis‐related prognostic signatures that are indicative of tumor progression and treatment response (c."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": " In lung adenocarcinoma, ARHGEF26‐AS1 is featured within risk signatures based on m6A‐related and ferroptosis/iron metabolism–related long non‐coding RNAs, further highlighting its potential as a prognostic and therapeutic target (d."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "6"}]}, {"type": "t", "text": " Beyond oncology, altered levels of ARHGEF26‐AS1 have also been identified among differentially expressed transcripts in pulpitis, implying a broader regulatory role in inflammatory conditions (e."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "8"}]}, {"type": "t", "text": "\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n Collectively, these studies underscore that ARHGEF26‐AS1 modulates gene expression via ceRNA interactions, influencing key cellular processes such as ferroptosis, proliferation, migration, and autophagy. Its consistent inclusion in prognostic signatures across different diseases indicates that ARHGEF26‐AS1 may serve both as a valuable biomarker and as a potential target for therapeutic intervention.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Chen Chen, Jun Zhao, Jing-Ni Liu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Mechanism and Role of the Neuropeptide LGI1 Receptor ADAM23 in Regulating Biomarkers of Ferroptosis and Progression of Esophageal Cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Dis Markers (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1155/2021/9227897"}], "href": "https://doi.org/10.1155/2021/9227897"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35003396"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35003396"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Zhenzhen Gao, Peng Fu, Zhengyi Yu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Comprehensive Analysis of lncRNA-miRNA- mRNA Network Ascertains Prognostic Factors in Patients with Colon Cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Technol Cancer Res Treat (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1177/1533033819853237"}], "href": "https://doi.org/10.1177/1533033819853237"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31159706"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31159706"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Wen-Jie Wang, Hong-Tao Li, Jian-Ping Yu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A Competing Endogenous RNA Network Reveals Novel Potential lncRNA, miRNA, and mRNA Biomarkers in the Prognosis of Human Colon Adenocarcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Surg Res (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.jss.2018.09.053"}], "href": "https://doi.org/10.1016/j.jss.2018.09.053"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30691798"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30691798"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Aierpati Maimaiti, Mirezhati Tuerhong, Yongxin Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "An innovative prognostic model based on autophagy-related long noncoding RNA signature for low-grade glioma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Mol Cell Biochem (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s11010-022-04368-6"}], "href": "https://doi.org/10.1007/s11010-022-04368-6"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35152365"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35152365"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Jianglin Zheng, Zijie Zhou, Yue Qiu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A Prognostic Ferroptosis-Related lncRNAs Signature Associated With Immune Landscape and Radiotherapy Response in Glioma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Front Cell Dev Biol (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3389/fcell.2021.675555"}], "href": "https://doi.org/10.3389/fcell.2021.675555"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34095147"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34095147"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Jian Zheng, Zhuochen Zhao, Junhu Wan, et al. "}, {"type": "b", "children": [{"type": "t", "text": "N-6 methylation-related lncRNA is potential signature in lung adenocarcinoma and influences tumor microenvironment."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Clin Lab Anal (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/jcla.23951"}], "href": "https://doi.org/10.1002/jcla.23951"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34558724"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34558724"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Jie Yao, Xiao Chen, Xiao Liu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Characterization of a ferroptosis and iron-metabolism related lncRNA signature in lung adenocarcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Cancer Cell Int (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/s12935-021-02027-2"}], "href": "https://doi.org/10.1186/s12935-021-02027-2"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34217273"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34217273"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Liu Liu, Tianyi Wang, Dingming Huang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Comprehensive Analysis of Differentially Expressed Genes in Clinically Diagnosed Irreversible Pulpitis by Multiplatform Data Integration Using a Robust Rank Aggregation Approach."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Endod (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.joen.2021.07.007"}], "href": "https://doi.org/10.1016/j.joen.2021.07.007"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34260959"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34260959"}]}]}]}
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| NCBI Gene ID | 100507524 |
| API | |
| Download Associations | |
| Predicted Functions |
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| Co-expressed Genes |
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| Expression in Tissues and Cell Lines |
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ARHGEF26-AS1 has 1,456 functional associations with biological entities spanning 5 categories (molecular profile, organism, disease, phenotype or trait, cell line, cell type or tissue, gene, protein or microRNA) extracted from 17 datasets.
Click the + buttons to view associations for ARHGEF26-AS1 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq | tissue samples with high or low expression of ARHGEF26-AS1 gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of ARHGEF26-AS1 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| CCLE Cell Line Gene Expression Profiles | cell lines with high or low expression of ARHGEF26-AS1 gene relative to other cell lines from the CCLE Cell Line Gene Expression Profiles dataset. | |
| CellMarker Gene-Cell Type Associations | cell types associated with ARHGEF26-AS1 gene from the CellMarker Gene-Cell Type Associations dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of ARHGEF26-AS1 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| ENCODE Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at ARHGEF26-AS1 gene from the ENCODE Histone Modification Site Profiles dataset. | |
| ENCODE Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of ARHGEF26-AS1 gene from the ENCODE Transcription Factor Binding Site Profiles dataset. | |
| ENCODE Transcription Factor Targets | transcription factors binding the promoter of ARHGEF26-AS1 gene in ChIP-seq datasets from the ENCODE Transcription Factor Targets dataset. | |
| GEO Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of ARHGEF26-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Viral Infections | virus perturbations changing expression of ARHGEF26-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of ARHGEF26-AS1 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset. | |
| GTEx Tissue Sample Gene Expression Profiles | tissue samples with high or low expression of ARHGEF26-AS1 gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset. | |
| GWASdb SNP-Disease Associations | diseases associated with ARHGEF26-AS1 gene in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset. | |
| GWASdb SNP-Phenotype Associations | phenotypes associated with ARHGEF26-AS1 gene in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of ARHGEF26-AS1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles | cell types and tissues with high or low DNA methylation of ARHGEF26-AS1 gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset. | |
| Roadmap Epigenomics Histone Modification Site Profiles | histone modification site profiles with high histone modification abundance at ARHGEF26-AS1 gene from the Roadmap Epigenomics Histone Modification Site Profiles dataset. | |