LINC00643 Gene

Name long intergenic non-protein coding RNA 643
Summary
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Recent transcriptomic and epigenetic studies have highlighted the diverse roles of non‐coding RNAs and gene regulatory mechanisms in health and disease. For instance, investigations into the late first trimester placenta have revealed a complex transcriptome with sex‐specific expression patterns that underpin normal developmental processes (1), and analyses in Alzheimer’s disease and psychiatric disorders have demonstrated that alterations in gene expression and splicing contribute to disease progression (2,3). In the context of gastric cancer risk after Helicobacter pylori eradication, a genome‐wide methylation study identified several candidate markers that reflect overall epigenomic damage. Among these, "}, {"type": "b", "children": [{"type": "t", "text": "LINC00643"}]}, {"type": "t", "text": " was found to be unmethylated in normal gastric mucosa and becomes aberrantly methylated in patients with gastric cancer compared to individuals with gastric atrophy. Its methylation status, which is highly correlated with that of several other markers, indicates that LINC00643 may serve as a novel epigenetic biomarker to stratify cancer risk following H. pylori eradication (4). This finding suggests that LINC00643, through its epigenetic modification, has potential utility in the early detection and risk assessment of gastric cancer independent of factors such as atrophy, gender, or age.\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n <small>\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": "</small>\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Tania L Gonzalez, Tianyanxin Sun, Alexander F Koeppel, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Sex differences in the late first trimester human placenta transcriptome."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biol Sex Differ (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1186/s13293-018-0165-y"}], "href": "https://doi.org/10.1186/s13293-018-0165-y"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29335024"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29335024"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Hongde Liu, Kun Luo, Donghui Luo "}, {"type": "b", "children": [{"type": "t", "text": "Guanosine monophosphate reductase 1 is a potential therapeutic target for Alzheimer's disease."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Sci Rep (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/s41598-018-21256-6"}], "href": "https://doi.org/10.1038/s41598-018-21256-6"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29426890"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29426890"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Michael J Gandal, Pan Zhang, Evi Hadjimichael, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Science (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1126/science.aat8127"}], "href": "https://doi.org/10.1126/science.aat8127"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30545856"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30545856"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "Masahiro Maeda, Satoshi Yamashita, Taichi Shimazu, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Novel epigenetic markers for gastric cancer risk stratification in individuals after Helicobacter pylori eradication."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Gastric Cancer (2018)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1007/s10120-018-0803-4"}], "href": "https://doi.org/10.1007/s10120-018-0803-4"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "29427040"}], "href": "https://pubmed.ncbi.nlm.nih.gov/29427040"}]}]}]}
Proteins U730_HUMAN
NCBI Gene ID 646113
API
Download Associations
Predicted Functions View LINC00643's ARCHS4 Predicted Functions.
Co-expressed Genes View LINC00643's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View LINC00643's ARCHS4 Predicted Functions.

Functional Associations

LINC00643 has 204 functional associations with biological entities spanning 4 categories (organism, disease, phenotype or trait, cell line, cell type or tissue, gene, protein or microRNA) extracted from 12 datasets.

Click the + buttons to view associations for LINC00643 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 LINC00643 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 LINC00643 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 LINC00643 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 LINC00643 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 LINC00643 gene from the GEO Signatures of Differentially Expressed Genes for Kinase Perturbations dataset.
GEO Signatures of Differentially Expressed Genes for Transcription Factor Perturbations transcription factor perturbations changing expression of LINC00643 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 LINC00643 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 LINC00643 gene relative to other tissues from the GTEx Tissue Gene Expression Profiles dataset.
IMPC Knockout Mouse Phenotypes phenotypes of mice caused by LINC00643 gene knockout from the IMPC Knockout Mouse Phenotypes dataset.
Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles cell lines with high or low copy number of LINC00643 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset.
MGI Mouse Phenotype Associations 2023 phenotypes of transgenic mice caused by LINC00643 gene mutations from the MGI Mouse Phenotype Associations 2023 dataset.
MotifMap Predicted Transcription Factor Targets transcription factors regulating expression of LINC00643 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset.