Evidence map›Paper›PMID 29727661›Full record

ArticleCell2018

Spliceosome Profiling Visualizes Operations of a Dynamic RNP at Nucleotide Resolution.

Jordan E Burke, Adam D Longhurst, Daria Merkurjev, Jade Sales-Lee, Beiduo Rao, James J Moresco, John R Yates, Jingyi Jessica Li, Hiten D Madhani

Abstract read
In one paragraph

Article in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jordan E BurkeDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA.
Adam D LonghurstDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA.
Daria MerkurjevDepartment of Statistics, University of California, Los Angeles, Los Angeles, CA, USA.
Jade Sales-LeeDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA.
Beiduo RaoDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA.
James J MorescoDepartment of Molecular Medicine, the Scripps Research Institute, La Jolla, CA, USA.
John R YatesDepartment of Molecular Medicine, the Scripps Research Institute, La Jolla, CA, USA.
Jingyi Jessica LiDepartment of Statistics, University of California, Los Angeles, Los Angeles, CA, USA.
Hiten D MadhaniDepartment of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA; Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA. Electronic address: hitenmadhani@gmail.com.

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
Mechanisms of Gene SilencingR01GM071801 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Hiten D Madhani · 2005 to 2026
$7.1M
Robust Identification and accurate quantification of RNA transcripts on a system wide scaleR01GM120507 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LI, JINGYI JESSICA · 2016 to 2021
$1.7M
NCI NIH HHS P30 CA016042NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R01 GM071801NIGMS NIH HHS R01 GM120507
6 · The paper itself

Abstract

Tools to understand how the spliceosome functions in vivo have lagged behind advances in the structural biology of the spliceosome. Here, methods are described to globally profile spliceosome-bound pre-mRNA, intermediates, and spliced mRNA at nucleotide resolution. These tools are applied to three yeast species that span 600 million years of evolution. The sensitivity of the approach enables the detection of canonical and non-canonical events, including interrupted, recursive, and nested splicing. This application of statistical modeling uncovers independent roles for the size and position of the intron and the number of introns per transcript in substrate progression through the two catalytic stages. These include species-specific inputs suggestive of spliceosome-transcriptome coevolution. Further investigations reveal the ATP-dependent discard of numerous endogenous substrates after spliceosome assembly in vivo and connect this discard to intron retention, a form of splicing regulation. Spliceosome profiling is a quantitative, generalizable global technology used to investigate an RNP central to eukaryotic gene expression.

Indexed as

Adenosine TriphosphateBayes TheoremBromodomain Containing ProteinsDEAD-box RNA HelicasesImmunoprecipitationRibonucleoproteins, Small NuclearRNA, FungalRNA PrecursorsRNA SplicingRNA Splicing FactorsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSpliceosomesTelomeraseTranscription FactorsAdenosine TriphosphateBDF2 protein, S cerevisiaeBromodomain Containing ProteinsDEAD-box RNA HelicasesPRP19 protein, S cerevisiaePRP43 protein, S cerevisiaeRibonucleoproteins, Small NuclearRNA, FungalRNA PrecursorsRNA Splicing FactorsSaccharomyces cerevisiae ProteinsTelomeraseTranscription Factorspre-mRNA splicingspliceosomesplicing catalysissplicing fidelity

Identifiers

PMID29727661
PMCPMC5940017

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.