| Name | FLG antisense RNA 1 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Long noncoding RNA FLG‐AS1 has emerged as a multifunctional regulatory molecule in a variety of disease contexts. In diabetic retinopathy, FLG‐AS1 acts as a competing endogenous RNA that sponges miR‐380‐3p to upregulate SOCS6 expression, thereby reducing inflammation, oxidative stress, and apoptosis in retinal epithelial cells and ultimately alleviating retinal injury."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " In metabolic disorders such as obesity and type 2 diabetes mellitus, FLG‐AS1 has been identified as part of a competitive endogenous RNA network, suggesting that its dysregulation may serve as both a potential biomarker and a therapeutic target through its involvement in key metabolic pathways."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": " Its role in cancer is also becoming evident; FLG‐AS1 is recognized as a hub m6A‐modified lncRNA in low‐grade gliomas and contributes to a genomic instability‐associated prognostic signature, linking it to tumorigenesis and patient outcomes."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " In neuropsychiatric conditions such as schizophrenia, FLG‐AS1 is implicated in ceRNA networks—specifically through its interaction with miR‐34a‐5p and the downstream target FOSL1—potentially influencing neurodevelopment and disease progression."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": " Furthermore, FLG‐AS1 has been incorporated into a three‐lncRNA classifier that predicts pathological complete response and favorable clinical outcomes in esophageal squamous cell carcinoma, and it is also differentially expressed in oral squamous cell carcinoma, highlighting its emerging value as a prognostic biomarker in diverse cancers."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "6"}]}, {"type": "t", "text": "\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Rong Luo, Lan Li, Fan Xiao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "LncRNA FLG-AS1 Mitigates Diabetic Retinopathy by Regulating Retinal Epithelial Cell Inflammation, Oxidative Stress, and Apoptosis via miR-380-3p/SOCS6 Axis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Inflammation (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s10753-022-01665-6"}], "href": "https://doi.org/10.1007/s10753-022-01665-6"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35461393"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35461393"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Wei Hu, Yuanlin Ding, Shu Wang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "The Construction and Analysis of the Aberrant lncRNA-miRNA-mRNA Network in Adipose Tissue from Type 2 Diabetes Individuals with Obesity."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Diabetes Res (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1155/2020/3980742"}], "href": "https://doi.org/10.1155/2020/3980742"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32337289"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32337289"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Quang-Huy Nguyen, Tin Nguyen, Duc-Hau Le "}, {"type": "b", "children": [{"type": "t", "text": "Identification and Validation of a Novel Three Hub Long Noncoding RNAs With m6A Modification Signature in Low-Grade Gliomas."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Front Mol Biosci (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3389/fmolb.2022.801931"}], "href": "https://doi.org/10.3389/fmolb.2022.801931"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35237657"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35237657"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Aierpati Maimaiti, Xixian Wang, Yinan Pei, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification and validation of a novel eight mutant-derived long non-coding RNAs signature as a prognostic biomarker for genome instability in low-grade glioma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Aging (Albany NY) (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.18632/aging.203079"}], "href": "https://doi.org/10.18632/aging.203079"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34081618"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34081618"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Hani Sabaie, Marziyeh Mazaheri Moghaddam, Madiheh Mazaheri Moghaddam, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Long non-coding RNA-associated competing endogenous RNA axes in the olfactory epithelium in schizophrenia: a bioinformatics analysis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Sci Rep (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41598-021-04326-0"}], "href": "https://doi.org/10.1038/s41598-021-04326-0"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34969953"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34969953"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Chaoqi Zhang, Zhihui Zhang, Guochao Zhang, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A three-lncRNA signature of pretreatment biopsies predicts pathological response and outcome in esophageal squamous cell carcinoma with neoadjuvant chemoradiotherapy."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Clin Transl Med (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/ctm2.156"}], "href": "https://doi.org/10.1002/ctm2.156"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32898328"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32898328"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Lu Feng, John R Houck, Pawadee Lohavanichbutr, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Transcriptome analysis reveals differentially expressed lncRNAs between oral squamous cell carcinoma and healthy oral mucosa."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Oncotarget (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.18632/oncotarget.16358"}], "href": "https://doi.org/10.18632/oncotarget.16358"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28415559"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28415559"}]}]}]}
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| NCBI Gene ID | 339400 |
| 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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FLG-AS1 has 698 functional associations with biological entities spanning 5 categories (organism, chemical, disease, phenotype or trait, cell line, cell type or tissue, gene, protein or microRNA) extracted from 13 datasets.
Click the + buttons to view associations for FLG-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 FLG-AS1 gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq dataset. | |
| GEO Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of FLG-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Kinase Perturbations | kinase perturbations changing expression of FLG-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Kinase Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of FLG-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations | transcription factor perturbations changing expression of FLG-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations dataset. | |
| GEO Signatures of Differentially Expressed Genes for Viral Infections | virus perturbations changing expression of FLG-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 FLG-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 FLG-AS1 gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset. | |
| GWAS Catalog SNP-Phenotype Associations | phenotypes associated with FLG-AS1 gene in GWAS datasets from the GWAS Catalog SNP-Phenotype Associations dataset. | |
| GWASdb SNP-Disease Associations | diseases associated with FLG-AS1 gene in GWAS and other genetic association datasets from the GWASdb SNP-Disease Associations dataset. | |
| GWASdb SNP-Phenotype Associations | phenotypes associated with FLG-AS1 gene in GWAS datasets from the GWASdb SNP-Phenotype Associations dataset. | |
| HuBMAP Azimuth Cell Type Annotations | cell types associated with FLG-AS1 gene from the HuBMAP Azimuth Cell Type Annotations dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of FLG-AS1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |