Evidence map›Paper›PMID 30177410›Full record

ReviewTrends in genetics : TIG2018

RNA, Action through Interactions.

Tri C Nguyen, Kathia Zaleta-Rivera, Xuerui Huang, Xiaofeng Dai, Sheng Zhong

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
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  13. Review
  14. Review
  15. Digging into bivalve miRNAomes: between conservation and innovation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  16. Article
  17. Illuminating lncRNA Function Through Target Prediction.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  18. Article
  19. Review
  20. Article
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

5 authors at 2 institutions in 2 countries.

Tri C NguyenDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Kathia Zaleta-RiveraDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Xuerui HuangDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Xiaofeng DaiWuxi School of Medicine, Jiangnan University, Wuxi Shi, Jiangsu Sheng, P.R. China. Electronic address: xiaofeng.dai@jiangnan.edu.cn.
Sheng ZhongDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA. Electronic address: szhong@ucsd.edu.
University of California San Diego · USJiangnan University · CN

Funding

The second phase of NIH Common Fund 4D Nucleome Network Organizational HubU01CA200147 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2015 to 2024
$22.0M
Mapping RNA interactomes by sequencingDP1HD087990 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2015 to 2019
$3.9M
Non-coding Variants Predisposing to Age-related Macular DegenerationR01HG008135 · NHGRI · LUDWIG INSTITUTE FOR CANCER RES LTD · PI REN, BING, ZHANG, KANG · 2015 to 2017
$2.3M
NCI NIH HHS U01 CA200147NHGRI NIH HHS R01 HG008135NICHD NIH HHS DP1 HD087990
6 · The paper itself

Abstract

As transcription of the human genome is quite pervasive, it is possible that many novel functions of the noncoding genome have yet to be identified. Often the noncoding genome's functions are carried out by their RNA transcripts, which may rely on their structures and/or extensive interactions with other molecules. Recent technology developments are transforming the fields of RNA biology from studying one RNA at a time to transcriptome-wide mapping of structures and interactions. Here, we highlight the recent advances in transcriptome-wide RNA interaction analysis. These technologies revealed surprising versatility of RNA to participate in diverse molecular systems. For example, tens of thousands of RNA-RNA interactions have been revealed in cultured cells as well as in mouse brain, including interactions between transposon-produced transcripts and mRNAs. In addition, most transcription start sites in the human genome are associated with noncoding RNA transcribed from other genomic loci. These recent discoveries expanded our understanding of RNAs' roles in chromatin organization, gene regulation, and intracellular signaling.

Indexed as

Transcription, GeneticGene Expression ProfilingGene Expression RegulationGenome, HumanHumansRNA, UntranslatedTranscriptomeRNA, Untranslated

Identifiers

PMID30177410
PMCPMC6195460
OpenAlexW2889500391

What OpenQuestion holds

Textmetadata
LicenceTDM
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.