| Name | long intergenic non-protein coding RNA 670 |
| Summary |
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n The two abstracts provided do not address or mention LINC00670. In the study on severe malaria"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ", the authors describe a comprehensive genome‐wide association approach to uncover genetic factors that impact resistance to severe malaria, highlighting associations with known loci such as hemoglobin variants, interleukin receptors, and others. In the study focused on atherosclerosis"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": ", the authors characterize disease-linked DNA methylation changes in the aorta, particularly in enhancer regions relevant to vascular smooth muscle cell phenotypes. Neither abstract provides any data or discussion related to LINC00670, and thus no conclusions regarding its function can be drawn from these studies.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Matt Ravenhall, Susana Campino, Nuno Sepúlveda, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Novel genetic polymorphisms associated with severe malaria and under selective pressure in North-eastern Tanzania."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "PLoS Genet (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1371/journal.pgen.1007172"}], "href": "https://doi.org/10.1371/journal.pgen.1007172"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29381699"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29381699"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Michelle Lacey, Carl Baribault, Kenneth C Ehrlich, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Atherosclerosis-associated differentially methylated regions can reflect the disease phenotype and are often at enhancers."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Atherosclerosis (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.atherosclerosis.2018.11.031"}], "href": "https://doi.org/10.1016/j.atherosclerosis.2018.11.031"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30529831"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30529831"}]}]}]}
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| NCBI Gene ID | 284034 |
| 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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LINC00670 has 558 functional associations with biological entities spanning 4 categories (organism, chemical, cell line, cell type or tissue, gene, protein or microRNA) extracted from 11 datasets.
Click the + buttons to view associations for LINC00670 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 Microarray | tissue samples with high or low expression of LINC00670 gene relative to other tissue samples from the Allen Brain Atlas Developing Human Brain Tissue Gene Expression Profiles by Microarray dataset. | |
| Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles | tissues with high or low expression of LINC00670 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 LINC00670 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset. | |
| COSMIC Cell Line Gene CNV Profiles | cell lines with high or low copy number of LINC00670 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset. | |
| GEO Signatures of Differentially Expressed Genes for Small Molecules | small molecule perturbations changing expression of LINC00670 gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset. | |
| GEO Signatures of Differentially Expressed Genes for Viral Infections | virus perturbations changing expression of LINC00670 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 LINC00670 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 LINC00670 gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset. | |
| GTEx Tissue-Specific Aging Signatures | tissue samples with high or low expression of LINC00670 gene relative to other tissue samples from the GTEx Tissue-Specific Aging Signatures dataset. | |
| Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles | cell lines with high or low copy number of LINC00670 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset. | |
| MotifMap Predicted Transcription Factor Targets | transcription factors regulating expression of LINC00670 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset. | |