LINC01001 Gene

Name long intergenic non-protein coding RNA 1001
Summary
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Recent computational and transcriptomic analyses have identified a number of long non‐coding RNAs as potential biomarkers and regulators in human disease, including LINC01001. In a study examining acute myocardial infarction (AMI), a comprehensive microarray analysis of circulating endothelial cells from patients and controls led to the computational prediction of key regulatory lncRNAs implicated in AMI pathogenesis (1). Although that study did not detail the individual molecular functions of each lncRNA, the results emphasized the importance of such molecules in the inflammatory responses observed during AMI.\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n In a separate transcriptomic analysis focusing on lung adenocarcinoma (LUAD), LINC01001 was identified among nine differentially expressed lncRNAs with prognostic significance (4). This analysis integrated RNA-seq and miRNA-seq data from The Cancer Genome Atlas to build a miRNA–lncRNA–mRNA regulatory network, underscoring the potential of LINC01001, along with other lncRNAs, to serve as indicators of disease outcome. Although the precise mechanistic role of LINC01001 remains to be elucidated, its differential expression in LUAD samples suggests that it may participate in the complex regulatory networks that underpin oncogenic processes.\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n Collectively, these studies highlight LINC01001 as a lncRNA of interest in both cardiovascular and cancer contexts, serving as a potential prognostic marker and possibly contributing to disease-specific regulatory pathways (1, 2, 3, 4)."}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "fg", "children": [{"type": "fg_fs", "start_ref": "1", "end_ref": "4"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Xiaodong Sheng, Tao Fan, Xiaoqi Jin "}, {"type": "b", "children": [{"type": "t", "text": "Identification of Key Genes Involved in Acute Myocardial Infarction by Comparative Transcriptome Analysis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Biomed Res Int (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1155/2020/1470867"}], "href": "https://doi.org/10.1155/2020/1470867"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33083450"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33083450"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Meiling Zhang, Qian Wang, Zihao Ke, et al. "}, {"type": "b", "children": [{"type": "t", "text": "LINC01001 Promotes Progression of Crizotinib-Resistant NSCLC by Modulating IGF2BP2/MYC Axis."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Front Pharmacol (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3389/fphar.2021.759267"}], "href": "https://doi.org/10.3389/fphar.2021.759267"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34630126"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34630126"}]}, {"type": "r", "ref": 3, "children": [{"type": "t", "text": "Yaxuan Sun, Jing Wang, Bin Han, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Elucidating the Molecular Mechanism of Ischemic Stroke Using Integrated Analysis of miRNA, mRNA, and lncRNA Expression Profiles."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Front Integr Neurosci (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.3389/fnint.2021.638114"}], "href": "https://doi.org/10.3389/fnint.2021.638114"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "34483854"}], "href": "https://pubmed.ncbi.nlm.nih.gov/34483854"}]}, {"type": "r", "ref": 4, "children": [{"type": "t", "text": "D-S Li, J-L Ainiwaer, I Sheyhiding, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of key long non-coding RNAs as competing endogenous RNAs for miRNA-mRNA in lung adenocarcinoma."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Eur Rev Med Pharmacol Sci (2016)"}]}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "27338053"}], "href": "https://pubmed.ncbi.nlm.nih.gov/27338053"}]}]}]}
NCBI Gene ID 100133161
API
Download Associations
Predicted Functions View LINC01001's ARCHS4 Predicted Functions.
Co-expressed Genes View LINC01001's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View LINC01001's ARCHS4 Predicted Functions.

Functional Associations

LINC01001 has 242 functional associations with biological entities spanning 1 categories (cell line, cell type or tissue) extracted from 3 datasets.

Click the + buttons to view associations for LINC01001 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 LINC01001 gene relative to other tissues from the Allen Brain Atlas Adult Human Brain Tissue Gene Expression Profiles dataset.
Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles tissues with high or low expression of LINC01001 gene relative to other tissues from the Allen Brain Atlas Prenatal Human Brain Tissue Gene Expression Profiles dataset.
Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles cell lines with high or low copy number of LINC01001 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset.