Evidence map›Paper›PMID 24267974›Full record

ArticleBMC bioinformatics2013

Systematic classification of non-coding RNAs by epigenomic similarity.

Mikhail G Dozmorov, Cory B Giles, Kristi A Koelsch, Jonathan D Wren

Abstract read
In one paragraph

Article in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Peripheral Biomarkers in Manifest and Premanifest Huntington's Disease.International journal of molecular sciences · 2023
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. [Opportunities and Challenges of RNA Interference Therapeutics in Oncology].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2022
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
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

4 authors.

Mikhail G Dozmorov
Cory B Giles
Kristi A Koelsch
Jonathan D Wren

Funding

Understanding connective tissue development and disease with PDGFR-driven..... P20GM103636 · NIGMS · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI THOMPSON, LINDA F · 2013 to 2023
$26.9M
VALIDATING NOVEL GENES IMPLICATED IN LEUKOCYTE CHEMOTAXISP20RR020143 · NCRR · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI ALARCON-RIQUELME, MARTA E · 2004 to 2011
$21.0M
SNP Confirmation and High Throughput Genotyping CoreP30AR053483 · NIAMS · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI GUTHRIDGE, JOEL MARVIN · 2007 to 2017
$6.7M
Molecular Mechanisms and Genetics of AutoimmunityP20GM103456 · NIGMS · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI GAFFNEY, PATRICK M · 2012 to 2013
$4.8M
Science in a Culture of MentoringP30GM103510 · NIGMS · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI JAMES, JUDITH A · 2012 to 2016
$3.9M
NCRR NIH HHS P20 RR020143NIAMS NIH HHS P30 AR053483NIGMS NIH HHS 1P20GM103636NIGMS NIH HHS 8P20GM103456NIGMS NIH HHS P20 GM103456NIGMS NIH HHS P20 GM103636NIGMS NIH HHS P30 GM103510NIGMS NIH HHS P30GM103510
6 · The paper itself

Abstract

backgroundEven though only 1.5% of the human genome is translated into proteins, recent reports indicate that most of it is transcribed into non-coding RNAs (ncRNAs), which are becoming the subject of increased scientific interest. We hypothesized that examining how different classes of ncRNAs co-localized with annotated epigenomic elements could help understand the functions, regulatory mechanisms, and relationships among ncRNA families.

resultsWe examined 15 different ncRNA classes for statistically significant genomic co-localizations with cell type-specific chromatin segmentation states, transcription factor binding sites (TFBSs), and histone modification marks using GenomeRunner (http://www.genomerunner.org). P-values were obtained using a Chi-square test and corrected for multiple testing using the Benjamini-Hochberg procedure. We clustered and visualized the ncRNA classes by the strength of their statistical enrichments and depletions.

conclusionsSearching for statistically significant associations between ncRNA classes and epigenomic elements permits detection of potential functional and/or regulatory relationships among ncRNA classes, and suggests cell type-specific biological roles of ncRNAs.

Indexed as

EpigenomicsAlgorithmsBinding SitesChromatinGenome, HumanHistonesHumansRNA, UntranslatedTranscription FactorsChromatinHistonesRNA, UntranslatedTranscription Factors

Identifiers

PMID24267974
PMCPMC3851203

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.