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

TY - JOUR

T1 - Tumor IsomiR Encyclopedia (TIE)

T2 - a pan-cancer database of miRNA isoforms

AU - Bofill-De Ros, Xavier

AU - Luke, Brian

AU - Guthridge, Robert

AU - Mudunuri, Uma

AU - Loss, Michael

AU - Gu, Shuo

N1 - Publisher Copyright: © 2021 Published by Oxford University Press.

PY - 2021/9/15

Y1 - 2021/9/15

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85115609378

U2 - 10.1093/bioinformatics/btab172

DO - 10.1093/bioinformatics/btab172

M3 - Journal article

C2 - 33729437

AN - SCOPUS:85115609378

SN - 1367-4803

VL - 37

SP - 3023

EP - 3025

JO - Bioinformatics

JF - Bioinformatics

IS - 18

ER -