Evidence map›Paper›PMID 26290535›Full record

ArticleGenome research2015

Genome-wide annotation of microRNA primary transcript structures reveals novel regulatory mechanisms.

Tsung-Cheng Chang, Mihaela Pertea, Sungyul Lee, Steven L Salzberg, Joshua T Mendell

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
–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

70 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
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  6. The biogenesis and regulation of animal microRNAs.Nature reviews. Molecular cell biology · 2025
    Review
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  11. Review
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  14. A micro-RNA is the effector gene of a classic evolutionary hotspot locus.bioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Two for one: regulatory RNAs that encode small proteins.Trends in biochemical sciences · 2023
    Review
  17. Deciphering the Functional Long Non-Coding RNAs Derived from MicroRNA Loci.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  18. Review
  19. 17β-estradiol promotes extracellular vesicle release and selective miRNA loading in ERα-positive breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. Article

10 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

5 authors at 2 institutions in 1 country.

Tsung-Cheng ChangDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA;
Mihaela PerteaCenter for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA;
Sungyul LeeDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA;
Steven L SalzbergCenter for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA; Departments of Biomedical Engineering, Computer Science, and Biostatistics, Johns Hopkins University, Baltimore, Maryland 21205, USA;
Joshua T MendellDepartment of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA; Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA; Simmons Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.
The University of Texas Southwestern Medical Center · USJohns Hopkins University · US

Funding

Computational Methods for Genome Assembly, Transcript Assembly, and Variant DiscoveryR01HG006677 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI SALZBERG, STEVEN L. · 2011 to 2025
$10.7M
Zebrafish CoreP01CA134292 · NCI · JOHNS HOPKINS UNIVERSITY · PI LEACH, STEVEN D · 2009 to 2013
$7.4M
The intersection of RNA biology and tumor biologyR35CA197311 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MENDELL, JOSHUA T · 2015 to 2021
$5.1M
c-Myc-regulated microRNAs in normal and pathologic cellular physiologyR01CA120185 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MENDELL, JOSHUA T · 2007 to 2015
$2.5M
NCI NIH HHS P01 CA134292NCI NIH HHS P01CA134292NCI NIH HHS R01 CA120185NCI NIH HHS R01CA120185NCI NIH HHS R35 CA197311NHGRI NIH HHS R01 HG006677NHGRI NIH HHS R01HG006677
6 · The paper itself

Abstract

Precise regulation of microRNA (miRNA) expression is critical for diverse physiologic and pathophysiologic processes. Nevertheless, elucidation of the mechanisms through which miRNA expression is regulated has been greatly hindered by the incomplete annotation of primary miRNA (pri-miRNA) transcripts. While a subset of miRNAs are hosted in protein-coding genes, the majority of pri-miRNAs are transcribed as poorly characterized noncoding RNAs that are 10's to 100's of kilobases in length and low in abundance due to efficient processing by the endoribonuclease DROSHA, which initiates miRNA biogenesis. Accordingly, these transcripts are poorly represented in existing RNA-seq data sets and exhibit limited and inaccurate annotation in current transcriptome assemblies. To overcome these challenges, we developed an experimental and computational approach that allows genome-wide detection and mapping of pri-miRNA structures. Deep RNA-seq in cells expressing dominant-negative DROSHA resulted in much greater coverage of pri-miRNA transcripts compared with standard RNA-seq. A computational pipeline was developed that produces highly accurate pri-miRNA assemblies, as confirmed by extensive validation. This approach was applied to a panel of human and mouse cell lines, providing pri-miRNA transcript structures for 1291/1871 human and 888/1181 mouse miRNAs, including 594 human and 425 mouse miRNAs that fall outside protein-coding genes. These new assemblies uncovered unanticipated features and new potential regulatory mechanisms, including links between pri-miRNAs and distant protein-coding genes, alternative pri-miRNA splicing, and transcripts carrying subsets of miRNAs encoded by polycistronic clusters. These results dramatically expand our understanding of the organization of miRNA-encoding genes and provide a valuable resource for the study of mammalian miRNA regulation.

Indexed as

Gene Expression RegulationGenome-Wide Association StudyMolecular Sequence AnnotationNucleic Acid ConformationAlternative SplicingEvolution, MolecularHigh-Throughput Nucleotide SequencingHumansMicroRNAsMultigene FamilyOpen Reading FramesPromoter Regions, GeneticRibonuclease IIIRNA, UntranslatedSequence Analysis, RNATranscription, GeneticDROSHA protein, humanMicroRNAsRibonuclease IIIRNA, Untranslated

Identifiers

PMID26290535
PMCPMC4561498
OpenAlexW2162157385

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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.