Tumor IsomiR Encyclopedia (TIE): a pan-cancer database of miRNA isoforms

Author:

Bofill-De Ros Xavier1,Luke Brian2,Guthridge Robert23,Mudunuri Uma23,Loss Michael23,Gu Shuo1ORCID

Affiliation:

1. RNA Mediated Gene Regulation Section, RNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD, USA

2. Advanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research, Frederick, MD, USA

3. Leidos Biomedical Research Inc., Frederick, MD 21702, USA

Abstract

Abstract Summary MicroRNAs (miRNAs) are master regulators of gene expression in cancers. Their sequence variants or isoforms (isomiRs) are highly abundant and possess unique functions. Given their short sequence length and high heterogeneity, mapping isomiRs can be challenging; without adequate depth and data aggregation, low frequency events are often disregarded. To address these challenges, we present the Tumor IsomiR Encyclopedia (TIE): a dynamic database of isomiRs from over 10 000 adult and pediatric tumor samples in The Cancer Genome Atlas (TCGA) and The Therapeutically Applicable Research to Generate Effective Treatments (TARGET) projects. A key novelty of TIE is its ability to annotate heterogeneous isomiR sequences and aggregate the variants obtained across all datasets. Results can be browsed online or downloaded as spreadsheets. Here, we show analysis of isomiRs of miR-21 and miR-30a to demonstrate the utility of TIE. Availability and implementation TIE search engine and data are freely available to use at https://isomir.ccr.cancer.gov/. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

National Cancer Institute

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference20 articles.

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