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.
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NPInter v5.0: ncRNA interaction database in a new era , Nucleic Acids Res, 14 Nov 2022
Nucleic Acids Research, 14 November, 2022, DOI：https://doi.org/10.1093/nar/gkac1002
NPInter v5.0: ncRNA interaction database in a new era
Yu Zheng, Huaxia Luo, Xueyi Teng, Xinpei Hao, Xiaoyu Yan, Yiheng Tang, Wanyu Zhang, Yuanxin Wang, Peng Zhang, Yanyan Li, Yi Zhao, Runsheng Chen, Shunmin He
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.
文章链接：https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkac1002/6827104#380643177