Pol3Base: a resource for decoding the interactome, expression, evolution, epitranscriptome and disease variations of Pol III-transcribed ncRNAs

Author:

Cai Li1,Xuan Jiajia1,Lin Qiao1,Wang Junhao1,Liu Shurong1,Xie Fangzhou1,Zheng Lingling1ORCID,Li Bin1,Qu Lianghu1ORCID,Yang Jianhua1ORCID

Affiliation:

1. MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, School of Life Sciences, The Fifth Affiliated Hospital, Sun Yat-sen University, Guangdong, Guangzhou 510275, P.R. China

Abstract

Abstract RNA polymerase III (Pol III) transcribes hundreds of non-coding RNA genes (ncRNAs), which involve in a variety of cellular processes. However, the expression, functions, regulatory networks and evolution of these Pol III-transcribed ncRNAs are still largely unknown. In this study, we developed a novel resource, Pol3Base (http://rna.sysu.edu.cn/pol3base/), to decode the interactome, expression, evolution, epitranscriptome and disease variations of Pol III-transcribed ncRNAs. The current release of Pol3Base includes thousands of regulatory relationships between ∼79 000 ncRNAs and transcription factors by mining 56 ChIP-seq datasets. By integrating CLIP-seq datasets, we deciphered the interactions of these ncRNAs with >240 RNA binding proteins. Moreover, Pol3Base contains ∼9700 RNA modifications located within thousands of Pol III-transcribed ncRNAs. Importantly, we characterized expression profiles of ncRNAs in >70 tissues and 28 different tumor types. In addition, by comparing these ncRNAs from human and mouse, we revealed about 4000 evolutionary conserved ncRNAs. We also identified ∼11 403 tRNA-derived small RNAs (tsRNAs) in 32 different tumor types. Finally, by analyzing somatic mutation data, we investigated the mutation map of these ncRNAs to help uncover their potential roles in diverse diseases. This resource will help expand our understanding of potential functions and regulatory networks of Pol III-transcribed ncRNAs.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Youth science and technology innovation talent of guangdong TeZhi plan

Guangdong Province

Guangzhou city

Sun Yat-sen University

Guangdong Province Key Laboratory of Computational Science

Guangdong Province Computational Science Innovative Research Team

Publisher

Oxford University Press (OUP)

Subject

Genetics

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