Evidence map›Paper›PMID 30718424›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Genome-wide colocalization of RNA-DNA interactions and fusion RNA pairs.

Zhangming Yan, Norman Huang, Weixin Wu, Weizhong Chen, Yiqun Jiang, Jingyao Chen, Xuerui Huang, Xingzhao Wen, Jie Xu, Qiushi Jin and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

54 citing papers in PubMed, 80 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Microfluidic low-input profiling reveals lncRNA roles in disease.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. ChRD-PET: A Method for Mapping RNA-DNA Interactions.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  7. Article
  8. Article
  9. Identification and Sequence Characterization of Semi-extractable RNAs.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. BaRDIC: robust peak calling for RNA-DNA interaction data.NAR genomics and bioinformatics · 2024
    Article
  18. Article
  19. Article
  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

14 authors at 3 institutions in 1 country.

Zhangming YanDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.ORCID 0000-0001-5373-8496
Norman HuangDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
Weixin WuDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
Weizhong ChenDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
Yiqun JiangDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
Jingyao ChenDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
Xuerui HuangDivision of Biological Sciences, University of California, San Diego, La Jolla, CA 92093.
Xingzhao WenDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093.
Jie XuDepartment of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, PA 17033.
Qiushi JinDepartment of Biochemistry and Molecular Biology, College of Medicine, The Pennsylvania State University, Hershey, PA 17033.
Kang ZhangDepartment of Ophthalmology, University of California, San Diego, La Jolla, CA 92093.
Zhen ChenDepartment of Diabetes Complications and Metabolism, Beckman Research Institute, City of Hope, Duarte, CA 91010.
Shu ChienDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093; shuchien@ucsd.edu szhong@ucsd.edu.
Sheng ZhongDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093; shuchien@ucsd.edu szhong@ucsd.edu.ORCID 0000-0001-6419-7453
University of California San Diego · USPennsylvania State University · USCity of Hope · US

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
Systems Biology Analyses for Hemodynamic Regulation of Vascular HomeostasisR01HL108735 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, SHYY, JOHN YJ · 2012 to 2024
$13.4M
Shear Regulation of MicroRNA Transportomes and Targetomes in Vascular HomeostasisR01HL106579 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, SHYY, JOHN YJ · 2011 to 2022
$8.3M
Role of Spatiotemporal Epigenetic Dynamics in Regulating Endothelial Gene Expressions under FlowsR01HL121365 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHIEN, SHU, WANG, YINGXIAO · 2014 to 2025
$7.5M
Mapping RNA interactomes by sequencingDP1HD087990 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHONG, SHENG · 2015 to 2019
$3.9M
Hypoxia-Suppressed Dicer and AGO1 Promote AngiogenesisR00HL122368 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI CHEN, ZHEN BOUMAN · 2017 to 2019
$747k
NCI NIH HHS U01 CA200147NHLBI NIH HHS R00 HL122368NHLBI NIH HHS R01 HL106579NHLBI NIH HHS R01 HL108735NHLBI NIH HHS R01 HL121365NICHD NIH HHS DP1 HD087990
6 · The paper itself

Abstract

Fusion transcripts are used as biomarkers in companion diagnoses. Although more than 15,000 fusion RNAs have been identified from diverse cancer types, few common features have been reported. Here, we compared 16,410 fusion transcripts detected in cancer (from a published cohort of 9,966 tumor samples of 33 cancer types) with genome-wide RNA-DNA interactions mapped in two normal, noncancerous cell types [using iMARGI, an enhanced version of the mapping of RNA-genome interactions (MARGI) assay]. Among the top 10 most significant RNA-DNA interactions in normal cells, 5 colocalized with the gene pairs that formed fusion RNAs in cancer. Furthermore, throughout the genome, the frequency of a gene pair to exhibit RNA-DNA interactions is positively correlated with the probability of this gene pair to present documented fusion transcripts in cancer. To test whether RNA-DNA interactions in normal cells are predictive of fusion RNAs, we analyzed these in a validation cohort of 96 lung cancer samples using RNA sequencing (RNA-seq). Thirty-seven of 42 fusion transcripts in the validation cohort were found to exhibit RNA-DNA interactions in normal cells. Finally, by combining RNA-seq, single-molecule RNA FISH, and DNA FISH, we detected a cancer sample with EML4-ALK fusion RNA without forming the EML4-ALK fusion gene. Collectively, these data suggest an RNA-poise model, where spatial proximity of RNA and DNA could poise for the creation of fusion transcripts.

Indexed as

DNAGenome, HumanHumansIn Situ Hybridization, FluorescenceLung NeoplasmsNeoplasmsOncogene Proteins, FusionRNASequence Analysis, RNADNAEML4-ALK fusion protein, humanOncogene Proteins, FusionRNAfusion transcriptsRNA–DNA interactionsRNA-poise model

Identifiers

PMID30718424
PMCPMC6386723
OpenAlexW2952534796

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.