Evidence map›Paper›PMID 31747015›Full record

ArticleNucleic acids research2020

ChiTaRS 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3D chromatin maps.

Deepak Balamurali, Alessandro Gorohovski, Rajesh Detroja, Vikrant Palande, Dorith Raviv-Shay, Milana Frenkel-Morgenstern

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.0field-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

27 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Pattern recognition in the landscape of seemingly random chimeric transcripts.Computational and structural biotechnology journal · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. The Fusion ofInternational journal of molecular sciences · 2021
    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

6 authors at 1 institution in 1 country.

Deepak BalamuraliLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel.
Alessandro GorohovskiLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel.
Rajesh DetrojaLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel.
Vikrant PalandeLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel.
Dorith Raviv-ShayLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel.
Milana Frenkel-MorgensternLaboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel.
Bar-Ilan University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric RNA transcripts are formed when exons from two genes fuse together, often due to chromosomal translocations, transcriptional errors or trans-splicing effect. While these chimeric RNAs produce functional proteins only in certain cases, they play a significant role in disease phenotyping and progression. ChiTaRS 5.0 (http://chitars.md.biu.ac.il/) is the latest and most comprehensive chimeric transcript repository, with 111 582 annotated entries from eight species, including 23 167 known human cancer breakpoints. The database includes unique information correlating chimeric breakpoints with 3D chromatin contact maps, generated from public datasets of chromosome conformation capture techniques (Hi-C). In this update, we have added curated information on druggable fusion targets matched with chimeric breakpoints, which are applicable to precision medicine in cancers. The introduction of a new section that lists chimeric RNAs in various cell-lines is another salient feature. Finally, using text-mining techniques, novel chimeras in Alzheimer's disease, schizophrenia, dyslexia and other diseases were collected in ChiTaRS. Thus, this improved version is an extensive catalogue of chimeras from multiple species. It extends our understanding of the evolution of chimeric transcripts in eukaryotes and contributes to the analysis of 3D genome conformational changes and the functional role of chimeras in the etiopathogenesis of cancers and other complex diseases.

Indexed as

Databases, GeneticAnimalsChromatinDiseaseHumansOncogene Proteins, FusionRNASequence Analysis, RNATrans-SplicingChromatinOncogene Proteins, FusionRNA

Identifiers

PMID31747015
PMCPMC7145514
OpenAlexW2991020716

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.