TANRIC: An Interactive Open Platform to Explore the Function of LncRNAs in Cancer
Overview
Affiliations
Long noncoding RNAs (lncRNA) have emerged as essential players in cancer biology. Using recent large-scale RNA-seq datasets, especially those from The Cancer Genome Atlas (TCGA), we have developed "The Atlas of Noncoding RNAs in Cancer" (TANRIC; http://bioinformatics.mdanderson.org/main/TANRIC:Overview), a user-friendly, open-access web resource for interactive exploration of lncRNAs in cancer. It characterizes the expression profiles of lncRNAs in large patient cohorts of 20 cancer types, including TCGA and independent datasets (>8,000 samples overall). TANRIC enables researchers to rapidly and intuitively analyze lncRNAs of interest (annotated lncRNAs or any user-defined ones) in the context of clinical and other molecular data, both within and across tumor types. Using TANRIC, we have identified a large number of lncRNAs with potential biomedical significance, many of which show strong correlations with established therapeutic targets and biomarkers across tumor types or with drug sensitivity across cell lines. TANRIC represents a valuable tool for investigating the function and clinical relevance of lncRNAs in cancer, greatly facilitating lncRNA-related biologic discoveries and clinical applications.
Non-Coding RNAs in Cancer: Structure, Function, and Clinical Application.
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PMID: 40002172 PMC: 11853212. DOI: 10.3390/cancers17040579.
Localization is the key to action: regulatory peculiarities of lncRNAs.
Poloni J, Oliveira F, Feltes B Front Genet. 2024; 15:1478352.
PMID: 39737005 PMC: 11683014. DOI: 10.3389/fgene.2024.1478352.
Computational Prediction of Gene Regulation by lncRNAs.
Sinha T, Sadhukhan S, Panda A Methods Mol Biol. 2024; 2883:343-362.
PMID: 39702716 DOI: 10.1007/978-1-0716-4290-0_15.
Unveiling Long Non-coding RNA Networks from Single-Cell Omics Data Through Artificial Intelligence.
Cao G, Chen D Methods Mol Biol. 2024; 2883:257-279.
PMID: 39702712 DOI: 10.1007/978-1-0716-4290-0_11.
TREMSUCS-TCGA - an integrated workflow for the identification of biomarkers for treatment success.
Balogh G, Jorge N, Dupain C, Kamal M, Servant N, Le Tourneau C J Integr Bioinform. 2024; 21(4).
PMID: 39654143 PMC: 11698617. DOI: 10.1515/jib-2024-0031.