Evidence map›Paper›PMID 26400733›Full record

ArticleBMC molecular biology2015

Deciphering targeting rules of splicing modulator compounds: case of TG003.

Maki Sakuma, Kei Iida, Masatoshi Hagiwara

Open access · hybridAbstract read
In one paragraph

Article in BMC molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Tissue Specificity of Gene Expression Evolves Across Mammal Species.Journal of computational biology : a journal of computational molecular cell biology · 2022
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  6. Estrogen-related receptor β activation and isoform shifting by cdc2-like kinase inhibition restricts migration and intracranial tumor growth in glioblastoma.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
  7. Therapeutic approaches to treat human spliceosomal diseases.Current opinion in biotechnology · 2019
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Molecular Pathways: Understanding and Targeting Mutant Spliceosomal Proteins.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Article
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

3 authors at 1 institution in 1 country.

Maki SakumaDepartment of Anatomy and Developmental Biology, Kyoto University Graduate School of Medicine, Konoecho Yoshida Sakyo-ku, Kyoto, 606-8501, Japan. sakuma.maki.55c@st.kyoto-u.ac.jp.
Kei IidaMedical Research Support Center, Kyoto University Graduate School of Medicine, Konoecho Yoshida Sakyo-ku, Kyoto, 606-8501, Japan. iida.kei.3r@kyoto-u.ac.jp.
Masatoshi HagiwaraDepartment of Anatomy and Developmental Biology, Kyoto University Graduate School of Medicine, Konoecho Yoshida Sakyo-ku, Kyoto, 606-8501, Japan. hagiwara.masatoshi.8c@kyoto-u.ac.jp.
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advances in the development of small chemical compounds that can modulate RNA splicing brought excitement to the field of splicing-targeting therapy. Splicing-targeting therapy tries to ameliorate the disease by altering the exon combination of transcripts to reduce the undesired effect of genetic mutations. However, the knowledge and tools to understand factors contributing to splicing modulator compound sensitivity have been lacking. Our goal was to establish a method to characterize sequence features found in compound sensitive exons.

resultsHere we developed a comparative transcriptomic approach to explore features that make an exon sensitive to a chemical compound. In this study, we chose TG003, a potential drug for Duchenne muscular dystrophy, and performed RNA-sequencing on samples from human and mouse skeletal muscle cells, with and without TG003 treatments. We compared TG003 responsiveness between homologous exon pairs and identified 21 pairs in which human exons were skip-enhanced but not mouse exons. We compared the sequence features; splice site scores, number of splicing factor binding sites, and properties of branch sequence and polypyrimidine tracts, and found that polypyrimidine tracts were stronger (longer stretches and richer content of consecutive polypyrimidine) in the mouse TG003 insensitive exons. We also compared the features between TG003 skip-enhanced and insensitive exons within the species, and discovered that human TG003 skip-enhanced exons were shorter and had less splicing factor binding sites than the group of human TG003 insensitive exons. Mouse insensitive exons homologous to human TG003 skip-enhanced exons shared these properties. Our results suggested that these features are prerequisites for TG003 skip-enhanced exons and weak polypyrimidine tracts are defining features, which were supported by a decision tree analysis on all cassette exons in human.

conclusionsIn this study we established a comparative transcriptomic approach, which shed lights on how small chemical compounds modulate RNA splicing. The results described here was the first attempt to decipher the targeting rules of a splicing modulator compound. We expect that this approach would contribute to the precise understanding of the mechanism of TG003-induced splicing modulation, expand target diseases of splicing modulators in general, as well as the development of new splicing modulators.

Indexed as

Alternative SplicingAnimalsBase SequenceBinding SitesCell LineExonsGene Expression ProfilingHEK293 CellsHumansMiceMuscle, SkeletalMuscular Dystrophy, DuchenneMyoblasts, SkeletalProtein Serine-Threonine KinasesProtein-Tyrosine KinasesPyrimidinesClk dual-specificity kinasesProtein Serine-Threonine KinasesProtein-Tyrosine KinasesPyrimidinesRNA Splice SitesTG 003Thiazoles

Identifiers

PMID26400733
PMCPMC4580995
OpenAlexW2171929664

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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.