Evidence map›Paper›PMID 27994090›Full record

ArticleRNA (New York, N.Y.)2017

A common class of transcripts with 5'-intron depletion, distinct early coding sequence features, and

Can Cenik, Hon Nian Chua, Guramrit Singh, Abdalla Akef, Michael P Snyder, Alexander F Palazzo, Melissa J Moore, Frederick P Roth

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Evolutionary Dynamics of Plant TRM6/TRM61 Complexes.Plants (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Long-read RNA sequencing reveals allele-specific NbioRxiv : the preprint server for biology · 2024
    Article
  4. Review
  5. Article
  6. The NPlant physiology · 2020
    Article
  7. Review
  8. Review
  9. Article
  10. Improved ontology for eukaryotic single-exon coding sequences in biological databases.Database : the journal of biological databases and curation · 2018
    Article
  11. Review
  12. Review
  13. 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

8 authors at 5 institutions in 2 countries.

Can CenikDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Hon Nian ChuaDonnelly Centre, Department of Molecular Genetics, and Department of Computer Science, University of Toronto, Toronto M5S 3E1, Ontario, Canada.
Guramrit SinghDepartment of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA.
Abdalla AkefDepartment of Biochemistry, University of Toronto, Toronto, Ontario M5S 1A8, Canada.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Alexander F PalazzoDepartment of Biochemistry, University of Toronto, Toronto, Ontario M5S 1A8, Canada.
Melissa J MooreDepartment of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA Melissa.Moore@umassmed.edu Fritz.Roth@utoronto.ca.
Frederick P RothDonnelly Centre, Department of Molecular Genetics, and Department of Computer Science, University of Toronto, Toronto M5S 3E1, Ontario, Canada Melissa.Moore@umassmed.edu Fritz.Roth@utoronto.ca.
University of Toronto · CAHoward Hughes Medical Institute · USCanadian Institute for Advanced Research · CAStanford University · USUniversity of Massachusetts Chan Medical School · US

Funding

Genomic Analysis of Network Perturbations in Human DiseaseP50HG004233 · NHGRI · DANA-FARBER CANCER INST · PI VIDAL, MARC · 2007 to 2017
$31.6M
The C. elegans Interactome ProjectR01HG001715 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI HILL, DAVID E., ROTH, FREDERICK P · 1998 to 2010
$16.5M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
The second step of pre-mRNA splicingR01GM053007 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MOORE, MELISSA J. · 1995 to 2018
$5.6M
Mapping the first half of the REFERENCE human binary protein interactomeU01HG001715 · NHGRI · DANA-FARBER CANCER INST · PI HILL, DAVID E., ROTH, FREDERICK P · 2012 to 2014
$5.4M
Resource ProjectU41HG001715 · NHGRI · DANA-FARBER CANCER INST · PI HILL, DAVID E. · 2015 to 2017
$4.7M
Characterization of recurrent cancer mutations that cause misregulated translationR00CA204522 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI CENIK, CAN · 2018 to 2020
$747k
Characterization of recurrent cancer mutations that cause misregulated translationK99CA204522 · NCI · STANFORD UNIVERSITY · PI CENIK, CAN · 2016 to 2017
$207k
CIHR FRN 102725NCI NIH HHS K99 CA204522NCI NIH HHS R00 CA204522NHGRI NIH HHS P50 HG004233NHGRI NIH HHS P50 HG007735NHGRI NIH HHS R01 HG001715NHGRI NIH HHS U01 HG001715NHGRI NIH HHS U41 HG001715NIGMS NIH HHS R01 GM053007
6 · The paper itself

Abstract

Introns are found in 5' untranslated regions (5'UTRs) for 35% of all human transcripts. These 5'UTR introns are not randomly distributed: Genes that encode secreted, membrane-bound and mitochondrial proteins are less likely to have them. Curiously, transcripts lacking 5'UTR introns tend to harbor specific RNA sequence elements in their early coding regions. To model and understand the connection between coding-region sequence and 5'UTR intron status, we developed a classifier that can predict 5'UTR intron status with >80% accuracy using only sequence features in the early coding region. Thus, the classifier identifies transcripts with

Indexed as

5' Untranslated RegionsBase SequenceIntronsProtein BiosynthesisSequence DeletionAdenosineCodon, InitiatorEukaryotic Initiation Factor-4EExonsHumansOpen Reading FramesProtein BindingRibosomes1-methyladenosine5' Untranslated RegionsAdenosineCodon, InitiatorEukaryotic Initiation Factor-4E5′-UTR intronsexon junction complexN1-methyladenosinerandom forest

Identifiers

PMID27994090
PMCPMC5311483
OpenAlexW2949101432

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.