NPInter v5.0: ncRNA interaction database in a new era.
Yu ZhengHuaxia LuoXueyi TengXinpei HaoXiaoyu YanYiheng TangWanyu ZhangYuanxin WangPeng ZhangYanyan LiYi ZhaoRunsheng ChenShunmin HePublished in: Nucleic acids research (2022)
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.
Keyphrases
- single cell
- rna seq
- high throughput
- long noncoding rna
- sars cov
- genome wide
- nucleic acid
- stem cells
- systematic review
- high throughput sequencing
- long non coding rna
- poor prognosis
- randomized controlled trial
- transcription factor
- circulating tumor
- lymph node metastasis
- risk assessment
- cell free
- artificial intelligence
- data analysis
- circulating tumor cells
- dna binding
- heavy metals