| Name | KANSL1 antisense RNA 1 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n KANSL1‐AS1 is a long non‐coding RNA that, by analogy to other HIF‐1–regulated lncRNAs and genomics findings across multiple complex traits, appears to function as an important regulator of gene expression and chromatin structure. For instance, studies in renal tubular cells have shown that HIF‐1–induced lncRNAs can modulate apoptotic pathways under hypoxic stress, suggesting that transcripts such as KANSL1‐AS1 may help promote cell survival in adverse microenvironments."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " Similarly, transcriptome‐wide association studies in breast tissue indicate that non‐coding RNAs can be linked to cancer risk, supporting a role for KANSL1‐AS1 in oncogenic processes."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n \n "}, {"type": "p", "children": [{"type": "t", "text": "\n Beyond cancer, genome‐wide investigations of device‐measured physical activity and sleep duration, as well as analyses of chromatin spatial organization, underscore the emerging concept that lncRNAs are integral components of the regulatory networks controlling diverse biological phenotypes."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": " Moreover, associations between lung function, risky behavioral traits, and neurodegenerative or psychiatric disorders further suggest that lncRNAs like KANSL1‐AS1 might integrate epigenetic regulation with environmental and genetic signals to modulate disease susceptibility."}, {"type": "fg", "children": [{"type": "fg_fs", "start_ref": "5", "end_ref": "8"}]}, {"type": "t", "text": "\n "}]}, {"type": "t", "text": "\n \n "}, {"type": "p", "children": [{"type": "t", "text": "\n Taken together, these findings imply that KANSL1‐AS1 may act as a nodal regulator of chromatin architecture and transcriptional programs, contributing to both normal cellular adaptations—such as the response to hypoxic stress—and the pathogenesis of complex disorders including cancer, neurodegeneration, and behavioral abnormalities.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Imari Mimura, Yosuke Hirakawa, Yasuharu Kanki, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Novel lnc RNA regulated by HIF-1 inhibits apoptotic cell death in the renal tubular epithelial cells under hypoxia."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Physiol Rep (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.14814/phy2.13203"}], "href": "https://doi.org/10.14814/phy2.13203"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28420760"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28420760"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Lang Wu, Wei Shi, Jirong Long, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Nat Genet (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41588-018-0132-x"}], "href": "https://doi.org/10.1038/s41588-018-0132-x"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29915430"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29915430"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Aiden Doherty, Karl Smith-Byrne, Teresa Ferreira, et al. "}, {"type": "b", "children": [{"type": "t", "text": "GWAS identifies 14 loci for device-measured physical activity and sleep duration."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Nat Commun (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41467-018-07743-4"}], "href": "https://doi.org/10.1038/s41467-018-07743-4"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30531941"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30531941"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Michal Sadowski, Agnieszka Kraft, Przemyslaw Szalaj, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Spatial chromatin architecture alteration by structural variations in human genomes at the population scale."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Genome Biol (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/s13059-019-1728-x"}], "href": "https://doi.org/10.1186/s13059-019-1728-x"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31362752"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31362752"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Linda Kachuri, Mattias Johansson, Sara R Rashkin, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Immune-mediated genetic pathways resulting in pulmonary function impairment increase lung cancer susceptibility."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Nat Commun (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41467-019-13855-2"}], "href": "https://doi.org/10.1038/s41467-019-13855-2"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31911640"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31911640"}]}, {"type": "r", "ref": 6, "children": [{"type": "t", "text": "Jing Ye, Li Liu, Xiaoqiao Xu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A genome-wide multiphenotypic association analysis identified candidate genes and gene ontology shared by four common risky behaviors."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Aging (Albany NY) (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.18632/aging.102812"}], "href": "https://doi.org/10.18632/aging.102812"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32090979"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32090979"}]}, {"type": "r", "ref": 7, "children": [{"type": "t", "text": "Sulev Koks, Abigail L Pfaff, Vivien J Bubb, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Longitudinal intronic RNA-Seq analysis of Parkinson's disease patients reveals disease-specific nascent transcription."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Exp Biol Med (Maywood) (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1177/15353702221081027"}], "href": "https://doi.org/10.1177/15353702221081027"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35289213"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35289213"}]}, {"type": "r", "ref": 8, "children": [{"type": "t", "text": "Xi Su, Wenqiang Li, Luxian Lv, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Transcriptome-Wide Association Study Provides Insights Into the Genetic Component of Gene Expression in Anxiety."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Front Genet (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3389/fgene.2021.740134"}], "href": "https://doi.org/10.3389/fgene.2021.740134"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34650599"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34650599"}]}]}]}
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| NCBI Gene ID | 644246 |
| 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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KANSL1-AS1 has 980 functional associations with biological entities spanning 7 categories (molecular profile, organism, chemical, functional term, phrase or reference, cell line, cell type or tissue, gene, protein or microRNA, sequence feature) extracted from 21 datasets.
Click the + buttons to view associations for KANSL1-AS1 from the datasets below.
If available, associations are ranked by standardized value
| Dataset | Summary | |
|---|---|---|
| Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of KANSL1-AS1 gene relative to other tissues from the Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles dataset. | |
| Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq | tissue samples with high or low expression of KANSL1-AS1 gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by RNA-seq dataset. | |
| Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of KANSL1-AS1 gene relative to other tissues from the Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles dataset. | |
| CCLE Cell Line Gene CNV Profiles | cell lines with high or low copy number of KANSL1-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 KANSL1-AS1 gene relative to other cell lines from the CCLE Cell Line Gene Expression Profiles dataset. | |
| ChEA Transcription Factor Binding Site Profiles | transcription factor binding site profiles with transcription factor binding evidence at the promoter of KANSL1-AS1 gene from the CHEA Transcription Factor Binding Site Profiles dataset. | |
| ChEA Transcription Factor Targets | transcription factors binding the promoter of KANSL1-AS1 gene in low- or high-throughput transcription factor functional studies from the CHEA Transcription Factor Targets dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of KANSL1-AS1 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| GEO Signatures of Differentially Expressed Genes for Gene Perturbations | gene perturbations changing expression of KANSL1-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 KANSL1-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 KANSL1-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 KANSL1-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 KANSL1-AS1 gene from the GEO Signatures of Differentially Expressed Genes for Viral Infections dataset. | |
| GTEx eQTL | SNPs regulating expression of KANSL1-AS1 gene from the GTEx eQTL dataset. | |
| GTEx Tissue Gene Expression Profiles | tissues with high or low expression of KANSL1-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 KANSL1-AS1 gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of KANSL1-AS1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles | cell lines with high or low expression of KANSL1-AS1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene Expression Profiles dataset. | |
| LOCATE Predicted Protein Localization Annotations | cellular components predicted to contain KANSL1-AS1 protein from the LOCATE Predicted Protein Localization Annotations dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of KANSL1-AS1 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |
| Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles | cell types and tissues with high or low DNA methylation of KANSL1-AS1 gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset. | |