Evidence map›Paper›PMID 30194306›Full record

ArticleNature communications2018

Aberrant splicing and defective mRNA production induced by somatic spliceosome mutations in myelodysplasia.

Yusuke Shiozawa, Luca Malcovati, Anna Gallì, Aiko Sato-Otsubo, Keisuke Kataoka, Yusuke Sato, Yosaku Watatani, Hiromichi Suzuki, Tetsuichi Yoshizato, Kenichi Yoshida and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed
14.4field-weighted citation impact, top 1% 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

119 citing papers in PubMed, 182 citations in OpenAlex.

  1. Trial
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  17. Science advances · 2025
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  19. Review
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59 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

18 authors at 5 institutions in 3 countries.

Yusuke ShiozawaDepartment of Pediatrics, The University of Tokyo, Tokyo, 113-8655, Japan.
Luca MalcovatiDepartment of Molecular Medicine, University of Pavia, 27100, Pavia, Italy.
Anna GallìDepartment of Hematology Oncology, Fondazione IRCCS Policlinico San Matteo & University of Pavia, 27100, Pavia, Italy.
Aiko Sato-OtsuboDepartment of Pathology and Tumor Biology, Kyoto University, Kyoto, 606-8501, Japan.
Keisuke KataokaDepartment of Pathology and Tumor Biology, Kyoto University, Kyoto, 606-8501, Japan.
Yusuke SatoDepartment of Pathology and Tumor Biology, Kyoto University, Kyoto, 606-8501, Japan.
Yosaku WatataniDepartment of Pathology and Tumor Biology, Kyoto University, Kyoto, 606-8501, Japan.
Hiromichi SuzukiDepartment of Pathology and Tumor Biology, Kyoto University, Kyoto, 606-8501, Japan.
Tetsuichi YoshizatoDepartment of Pathology and Tumor Biology, Kyoto University, Kyoto, 606-8501, Japan.
Kenichi YoshidaDepartment of Pathology and Tumor Biology, Kyoto University, Kyoto, 606-8501, Japan.
Masashi SanadaDepartment of Advanced Diagnosis, Clinical Research Center, Nagoya Medical Center, Nagoya, 460-0001, Japan.
Hideki MakishimaDepartment of Pathology and Tumor Biology, Kyoto University, Kyoto, 606-8501, Japan.ORCID http://orcid.org/0000-0001-5983-8578
Yuichi ShiraishiLaboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan.
Kenichi ChibaLaboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan.
Eva Hellström-LindbergDepartment of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institutet, SE-171 77, Stockholm, Sweden.
Satoru MiyanoLaboratory of DNA Information Analysis, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan.
Seishi OgawaDepartment of Pathology and Tumor Biology, Kyoto University, Kyoto, 606-8501, Japan. sogawa-tky@umin.ac.jp.
Mario CazzolaDepartment of Molecular Medicine, University of Pavia, 27100, Pavia, Italy. mario.cazzola@unipv.it.
Kyoto University · JPThe University of Tokyo · JPUniversity of Pavia · ITKarolinska Institutet · SENagoya Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spliceosome mutations are frequently found in myelodysplasia. Splicing alterations induced by these mutations, their precise targets, and the effect at the transcript level have not been fully elucidated. Here we report transcriptomic analyses of 265 bone marrow samples from myelodysplasia patients, followed by a validation using CRISPR/Cas9-mediated gene editing and an assessment of nonsense-mediated decay susceptibility. Small but widespread reduction of intron-retaining isoforms is the most frequent splicing alteration in SF3B1-mutated samples. SF3B1 mutation is also associated with 3' splice site alterations, leading to the most pronounced reduction of canonical transcripts. Target genes include tumor suppressors and genes of mitochondrial iron metabolism or heme biosynthesis. Alternative exon usage is predominant in SRSF2- and U2AF1-mutated samples. Usage of an EZH2 cryptic exon harboring a premature termination codon is increased in both SRSF2- and U2AF1-mutated samples. Our study reveals a landscape of splicing alterations and precise targets of various spliceosome mutations.

Indexed as

Alternative SplicingEnhancer of Zeste Homolog 2 ProteinHumansMutationMyelodysplastic SyndromesPhosphoproteinsRNA Splicing FactorsSerine-Arginine Splicing FactorsSpliceosomesSplicing Factor U2AFEnhancer of Zeste Homolog 2 ProteinEZH2 protein, humanPhosphoproteinsRNA Splicing FactorsSerine-Arginine Splicing FactorsSF3B1 protein, humanSplicing Factor U2AFSRSF2 protein, humanU2AF1 protein, human

Identifiers

PMID30194306
PMCPMC6128865
OpenAlexW2892171374

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.