Evidence map›Paper›PMID 30772756›Full record

ReviewCurrent opinion in biotechnology2019

Therapeutic approaches to treat human spliceosomal diseases.

Anthony B DeNicola, Yi Tang

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. [Screening of drugs that selectively inhibit uveal melanoma cells with SF3B1 mutations].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021
    Article
  7. Article
  8. Article
  9. 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

2 authors at 1 institution in 1 country.

Anthony B DeNicolaDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, United States. Electronic address: adenicola@ucla.edu.
Yi TangDepartment of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, United States.
University of California, Los Angeles · US

Funding

Genomic and synthetic biology tools for expressing natural product gene clustersU01GM110706 · NIGMS · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, STEINMETZ, LARS M · 2014 to 2018
$10.9M
NIGMS NIH HHS U01 GM110706
6 · The paper itself

Abstract

Mutated RNA splicing machinery drives many human diseases and is a promising therapeutic target for engineering and small molecule therapy. In the case of mutations in individual genes that cause them to be incorrectly spliced, engineered splicing factors can be introduced to correct splicing of these aberrant transcripts and reduce the effects of the disease phenotype. Mutations that occur in certain splicing factor genes themselves have been implicated in many cancers, particularly myelodysplastic syndromes. Small molecules that target splicing factors have been developed as therapies to preferentially induce apoptosis in these cancer cells. Specifically, drugs targeting the splicing factor SF3B1 have led to recent clinical trials. Here, we review the role of alternative splicing in disease, approaches to rescue incorrect splicing using engineered splicing factors, and small molecule splicing inhibitors developed to treat hematological cancers.

Indexed as

SpliceosomesHumansMutationMyelodysplastic SyndromesPhosphoproteinsRNA SplicingRNA Splicing FactorsPhosphoproteinsRNA Splicing Factors

Identifiers

PMID30772756
PMCPMC6694006
OpenAlexW2947382042

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.