NPInter v5.0: ncRNA interaction database in a new era

Author:

Zheng Yu12,Luo Huaxia1ORCID,Teng Xueyi1ORCID,Hao Xinpei13,Yan Xiaoyu13,Tang Yiheng1ORCID,Zhang Wanyu1ORCID,Wang Yuanxin13,Zhang Peng1,Li Yanyan1,Zhao Yi4ORCID,Chen Runsheng1ORCID,He Shunmin13ORCID

Affiliation:

1. Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences , Beijing  100101,  China

2. College of Life Sciences, University of Chinese Academy of Sciences , Beijing  100049,  China

3. University of Chinese Academy of Sciences , Beijing  100049,  China

4. Bioinformatics Research Group, Key Laboratory of Intelligent Information Processing, Advanced Computing Research Center, Institute of Computing Technology, Chinese Academy of Sciences , Beijing  100190,  China

Abstract

Abstract Noncoding RNAs (ncRNAs) play key regulatory roles in biological processes by interacting with other biomolecules. With the development of high-throughput sequencing and experimental technologies, extensive ncRNA interactions have been accumulated. Therefore, we updated the NPInter database to a fifth version to document these interactions. ncRNA interaction entries were doubled from 1 100 618 to 2 596 695 by manual literature mining and high-throughput data processing. We integrated global RNA–DNA interactions from iMARGI, ChAR-seq and GRID-seq, greatly expanding the number of RNA–DNA interactions (from 888 915 to 8 329 382). In addition, we collected different types of RNA interaction between SARS-CoV-2 virus and its host from recently published studies. Long noncoding RNA (lncRNA) expression specificity in different cell types from tumor single cell RNA-seq (scRNA-seq) data were also integrated to provide a cell-type level view of interactions. A new module named RBP was built to display the interactions of RNA-binding proteins with annotations of localization, binding domains and functions. In conclusion, NPInter v5.0 (http://bigdata.ibp.ac.cn/npinter5/) provides informative and valuable ncRNA interactions for biological researchers.

Funder

National Key Research and Development Program of China

Informatization Plan of Chinese Academy of Sciences

Strategic Priority Research Program of the Chinese Academy of Sciences

National Science Foundation of China

China Postdoctoral Science Foundation

Special investigation on science and technology basic resources of the MOST, China

National Genomics Data Center, China

Publisher

Oxford University Press (OUP)

Subject

Genetics

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