LINC00879 Gene

Name long intergenic non-protein coding RNA 879
Summary
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n In a comprehensive genome‐wide analysis designed to identify non‐coding driver mutations in cancer, a long intergenic non‐coding RNA—LINC00879—was pinpointed as one of 160 significant non‐coding elements showing recurrent mutations and features of evolutionary conservation and cancer specificity (1). The identification of LINC00879 through the novel two‐stage ncDriver procedure suggests that aberrations affecting this lincRNA may disrupt the regulation of gene expression, thereby contributing to cellular dysfunction and tumor development. In essence, LINC00879 is emerging as a candidate driver element in cancer, with its mutation profile hinting at a role in modulating clinical outcomes through altered regulatory mechanisms."}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Henrik Hornshøj, Morten Muhlig Nielsen, Nicholas A Sinnott-Armstrong, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Pan-cancer screen for mutations in non-coding elements with conservation and cancer specificity reveals correlations with expression and survival."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "NPJ Genom Med (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41525-017-0040-5"}], "href": "https://doi.org/10.1038/s41525-017-0040-5"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29354286"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29354286"}]}]}]}
NCBI Gene ID 255025
API
Download Associations
Predicted Functions View LINC00879's ARCHS4 Predicted Functions.
Co-expressed Genes View LINC00879's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View LINC00879's ARCHS4 Predicted Functions.

Functional Associations

LINC00879 has 171 functional associations with biological entities spanning 3 categories (functional term, phrase or reference, cell line, cell type or tissue, gene, protein or microRNA) extracted from 8 datasets.

Click the + buttons to view associations for LINC00879 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 LINC00879 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 LINC00879 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 LINC00879 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 LINC00879 gene from the GEO Signatures of Differentially Expressed Genes for Kinase Perturbations dataset.
Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles cell lines with high or low copy number of LINC00879 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 LINC00879 protein from the LOCATE Predicted Protein Localization Annotations dataset.
MotifMap Predicted Transcription Factor Targets transcription factors regulating expression of LINC00879 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 LINC00879 gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset.