LINC00639 Gene

Name long intergenic non-protein coding RNA 639
Summary
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n LINC00639 is a long non‐coding RNA that has been implicated in distinct pathological contexts. In a study of stage I lung adenocarcinoma, LINC00639 was identified as part of a comprehensive lncRNA–miRNA–mRNA competing endogenous RNA network, suggesting that this lncRNA may contribute to tumorigenesis and progression through post‐transcriptional regulatory mechanisms (2). In a separate investigation focusing on Alzheimer’s disease, LINC00639 was found among gender‐associated lncRNAs whose expression levels were negatively correlated with Braak stage, indicating that lower levels of LINC00639 may be associated with more advanced neurodegenerative pathology (5). Although the precise molecular mechanisms remain to be fully defined, these findings support a role for LINC00639 in modulating disease‐related processes in both cancer and neurodegeneration.\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n (1)"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ", \n (2)"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": ", \n (3)"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "3"}]}, {"type": "t", "text": ", \n (4)"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "4"}]}, {"type": "t", "text": ", \n (5)."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "5"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Pavel Hamet, Mounsif Haloui, François Harvey, et al. "}, {"type": "b", "children": [{"type": "t", "text": "PROX1 gene CC genotype as a major determinant of early onset of type 2 diabetes in slavic study participants from Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation study."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Hypertens (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1097/HJH.0000000000001241"}], "href": "https://doi.org/10.1097/HJH.0000000000001241"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "28060188"}], "href": "https://pubmed.ncbi.nlm.nih.gov/28060188"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Yuan Xu, Guofu Lin, Yifei Liu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "An integrated analysis of the competing endogenous RNA network associated of prognosis of stage I lung adenocarcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "BMC Cancer (2022)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/s12885-022-09290-0"}], "href": "https://doi.org/10.1186/s12885-022-09290-0"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "35183135"}], "href": "https://pubmed.ncbi.nlm.nih.gov/35183135"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Diangeng Li, Pengtao Bao, Zhiwei Yin, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Exploration of the involvement of LncRNA in HIV-associated encephalitis using bioinformatics."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "PeerJ (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.7717/peerj.5721"}], "href": "https://doi.org/10.7717/peerj.5721"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30345171"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30345171"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Henry Sung-Ching Wong, Ying-Ju Lin, Hsing-Fang Lu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Genomic interrogation of familial short stature contributes to the discovery of the pathophysiological mechanisms and pharmaceutical drug repositioning."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Biomed Sci (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/s12929-019-0581-2"}], "href": "https://doi.org/10.1186/s12929-019-0581-2"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31699087"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31699087"}]}, {"type": "r", "ref": 5, "children": [{"type": "t", "text": "Mei Cao, Huaqing Li, Jian Zhao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of age- and gender-associated long noncoding RNAs in the human brain with Alzheimer's disease."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Neurobiol Aging (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1016/j.neurobiolaging.2019.05.023"}], "href": "https://doi.org/10.1016/j.neurobiolaging.2019.05.023"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "31280115"}], "href": "https://pubmed.ncbi.nlm.nih.gov/31280115"}]}]}]}
NCBI Gene ID 283547
API
Download Associations
Predicted Functions View LINC00639's ARCHS4 Predicted Functions.
Co-expressed Genes View LINC00639's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View LINC00639's ARCHS4 Predicted Functions.

Functional Associations

LINC00639 has 677 functional associations with biological entities spanning 5 categories (disease, phenotype or trait, chemical, functional term, phrase or reference, cell line, cell type or tissue, gene, protein or microRNA) extracted from 13 datasets.

Click the + buttons to view associations for LINC00639 from the datasets below.

If available, associations are ranked by standardized value

Dataset Summary
CCLE Cell Line Gene CNV Profiles cell lines with high or low copy number of LINC00639 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 LINC00639 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset.
GEO Signatures of Differentially Expressed Genes for Diseases disease perturbations changing expression of LINC00639 gene from the GEO Signatures of Differentially Expressed Genes for Diseases dataset.
GEO Signatures of Differentially Expressed Genes for Gene Perturbations gene perturbations changing expression of LINC00639 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 LINC00639 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 LINC00639 gene from the GEO Signatures of Differentially Expressed Genes for Small Molecules dataset.
GTEx Tissue Gene Expression Profiles tissues with high or low expression of LINC00639 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 LINC00639 gene relative to other tissue samples from the GTEx Tissue Sample Gene Expression Profiles dataset.
HuBMAP Azimuth Cell Type Annotations cell types associated with LINC00639 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 LINC00639 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset.
LOCATE Predicted Protein Localization Annotations cellular components predicted to contain LINC00639 protein from the LOCATE Predicted Protein Localization Annotations dataset.
MotifMap Predicted Transcription Factor Targets transcription factors regulating expression of LINC00639 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 LINC00639 gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset.