MYO16-AS1 Gene

Name MYO16 antisense RNA 1
Summary
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\nRecent studies have highlighted the pivotal role of long noncoding RNAs (lncRNAs) acting as competitive endogenous RNAs (ceRNAs) in cancer development. In muscle-invasive bladder cancer (MIBC), RNA sequence profiling led to the construction of a ceRNA network comprising aberrantly expressed mRNAs, lncRNAs, and miRNAs, among which MYO16‐AS1 was identified. This network provided insights into the molecular mechanisms underlying tumor progression in MIBC."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nWithin this network, MYO16‐AS1 emerged as one of eight lncRNAs that form a prognostic signature for MIBC. Its elevated expression was statistically correlated with worsened overall survival in patients, suggesting that MYO16‐AS1 plays a significant oncogenic role."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "t", "text": "\n\n"}, {"type": "p", "children": [{"type": "t", "text": "\nFurthermore, experimental assays demonstrated that overexpression of MYO16‐AS1 enhanced UMUC2 cell migration and invasion, confirming its functional contribution to bladder cancer progression. These findings propose that MYO16‐AS1 may serve as both a biomarker for prognostic prediction and a potential therapeutic target in MIBC."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Danyang Shen, Youyun Zhang, Qiming Zheng, et al. "}, {"type": "b", "children": [{"type": "t", "text": "A Competing Endogenous RNA Network and an 8-lncRNA Prognostic Signature Identify "}, {"type": "a", "children": [{"type": "t", "text": "i"}], "href": "i"}, {"type": "t", "text": "MYO16-AS1"}, {"type": "a", "children": [{"type": "t", "text": "/i"}], "href": "/i"}, {"type": "t", "text": " as an Oncogenic lncRNA in Bladder Cancer."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "DNA Cell Biol (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1089/dna.2020.6014"}], "href": "https://doi.org/10.1089/dna.2020.6014"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33270518"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33270518"}]}]}]}
NCBI Gene ID 100885782
API
Download Associations
Predicted Functions View MYO16-AS1's ARCHS4 Predicted Functions.
Co-expressed Genes View MYO16-AS1's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View MYO16-AS1's ARCHS4 Predicted Functions.

Functional Associations

MYO16-AS1 has 166 functional associations with biological entities spanning 2 categories (cell line, cell type or tissue, gene, protein or microRNA) extracted from 5 datasets.

Click the + buttons to view associations for MYO16-AS1 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 MYO16-AS1 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 MYO16-AS1 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 MYO16-AS1 gene relative to other tissues from the GTEx 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 MYO16-AS1 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset.
MotifMap Predicted Transcription Factor Targets transcription factors regulating expression of MYO16-AS1 gene predicted using known transcription factor binding site motifs from the MotifMap Predicted Transcription Factor Targets dataset.