Evidence map›Paper›PMID 29040625›Full record

ArticleNucleic acids research2018

RISE: a database of RNA interactome from sequencing experiments.

Jing Gong, Di Shao, Kui Xu, Zhipeng Lu, Zhi John Lu, Yucheng T Yang, Qiangfeng Cliff Zhang

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed, 113 citations in OpenAlex.

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  17. Computational Prediction of Gene Regulation by lncRNAs.Methods in molecular biology (Clifton, N.J.) · 2025
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  18. Review
  19. The plasma miRNAome in ADNI: Signatures to aid the detection of at-risk individuals.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Jing GongMOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Di ShaoMOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Kui XuMOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Zhipeng LuCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA.
Zhi John LuMOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Yucheng T YangDepartment of Statistics, University of California Los Angeles, Los Angeles, CA 90095-1554, USA.
Qiangfeng Cliff ZhangMOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Center for Life Sciences · CNUniversity of California, Los Angeles · US

Funding

Decoding the RNA Structurome: Method Development and Function Analysis.R00HG009662 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LU, ZHIPENG · 2019 to 2021
$821k
Decoding the RNA structurome: method development and function analysisK99HG009662 · NHGRI · STANFORD UNIVERSITY · PI LU, ZHIPENG · 2017 to 2018
$149k
NHGRI NIH HHS K99 HG009662NHGRI NIH HHS R00 HG009662
6 · The paper itself

Abstract

We present RISE (http://rise.zhanglab.net), a database of RNA Interactome from Sequencing Experiments. RNA-RNA interactions (RRIs) are essential for RNA regulation and function. RISE provides a comprehensive collection of RRIs that mainly come from recent transcriptome-wide sequencing-based experiments like PARIS, SPLASH, LIGR-seq, and MARIO, as well as targeted studies like RIA-seq, RAP-RNA and CLASH. It also includes interactions aggregated from other primary databases and publications. The RISE database currently contains 328,811 RNA-RNA interactions mainly in human, mouse and yeast. While most existing RNA databases mainly contain interactions of miRNA targeting, notably, more than half of the RRIs in RISE are among mRNA and long non-coding RNAs. We compared different RRI datasets in RISE and found limited overlaps in interactions resolved by different techniques and in different cell lines. It may suggest technology preference and also dynamic natures of RRIs. We also analyzed the basic features of the human and mouse RRI networks and found that they tend to be scale-free, small-world, hierarchical and modular. The analysis may nominate important RNAs or RRIs for further investigation. Finally, RISE provides a Circos plot and several table views for integrative visualization, with extensive molecular and functional annotations to facilitate exploration of biological functions for any RRI of interest.

Indexed as

Databases, Nucleic AcidAnimalsGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansMiceMolecular Sequence AnnotationProtein Interaction MapsRNASequence Analysis, RNATranscriptomeUser-Computer InterfaceRNA

Identifiers

PMID29040625
PMCPMC5753368
OpenAlexW2787822418

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.