LINC00571 Gene

Name long intergenic non-protein coding RNA 571
Summary
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n A recent study investigated the prognostic relevance of N6‐methyladenosine (m6A)–related long non‐coding RNAs (lncRNAs) in triple‐negative breast cancer (TNBC) by analyzing clinical and expression data from TCGA and GEO databases."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": " Among the ten independent prognostic m6A‐related lncRNAs identified—including SAMD12‐AS1, BVES‐AS1, LINC00593, MIR205HG, "}, {"type": "b", "children": [{"type": "t", "text": "LINC00571"}]}, {"type": "t", "text": ", ANKRD10‐IT1, CIRBP‐AS1, SUCLG2‐AS1, BLACAT1, and HOXB‐AS1—LINC00571 was differentially expressed between high‐risk and control groups. This differential expression suggests that LINC00571 may play a role in modulating key oncogenic processes in TNBC, possibly through its participation in competing endogenous RNA (ceRNA) networks that target mRNAs involved in cell communication, signal transduction, and cancer‐related pathways. Consequently, LINC00571, along with the other m6A‐related lncRNAs, holds promise as a potential biomarker for prognostic risk assessment and may serve as a target for future therapeutic strategies in TNBC."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Jie Wu, Yan Cai, Gaiping Zhao, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A ten N6-methyladenosine-related long non-coding RNAs signature predicts prognosis of triple-negative breast cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Clin Lab Anal (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/jcla.23779"}], "href": "https://doi.org/10.1002/jcla.23779"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33934391"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33934391"}]}]}]}
NCBI Gene ID 100874188
API
Download Associations
Predicted Functions View LINC00571's ARCHS4 Predicted Functions.
Co-expressed Genes View LINC00571's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View LINC00571's ARCHS4 Predicted Functions.

Functional Associations

LINC00571 has 378 functional associations with biological entities spanning 1 categories (cell line, cell type or tissue) extracted from 7 datasets.

Click the + buttons to view associations for LINC00571 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 LINC00571 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 LINC00571 gene relative to other cell lines from the COSMIC Cell Line Gene CNV Profiles dataset.
GTEx Tissue Gene Expression Profiles tissues with high or low expression of LINC00571 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 LINC00571 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 LINC00571 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 LINC00571 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset.
Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles cell types and tissues with high or low DNA methylation of LINC00571 gene relative to other cell types and tissues from the Roadmap Epigenomics Cell and Tissue DNA Methylation Profiles dataset.