Evidence map›Paper›PMID 17720713›Full record

ArticleNucleic acids research2007

Sequence occurrence and structural uniqueness of a G-quadruplex in the human c-kit promoter.

Alan K Todd, Shozeb M Haider, Gary N Parkinson, Stephen Neidle

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Review
  6. Polarizable Molecular Dynamics Simulations of TwoJournal of chemical theory and computation · 2020
    Article
  7. Review
  8. Review
  9. Article
  10. Carbazole Derivatives' Binding to c-KIT G-Quadruplex DNA.Molecules (Basel, Switzerland) · 2018
    Article
  11. Article
  12. A novel G-quadruplex motif in the HumanBioscience reports · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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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

4 authors.

Alan K ToddCancer Research UK Biomolecular Structure Group, The School of Pharmacy, University of London, 29-39 Brunswick Square, London WC1N 1AX, UK.
Shozeb M Haider
Gary N Parkinson
Stephen Neidle

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 22-nt c-kit87 promoter sequence is unique within the human genome. Its fold and tertiary structure have recently been determined by NMR methods [Phan,A.T., Kuryavyi,V., Burge,S., Neidle,S. and Patel,D.J. (2007) Structure of an unprecedented G-quadruplex scaffold in the c-kit promoter. J. Am. Chem. Soc., 129, 4386-4392], and does not have precedent among known DNA quadruplexes. We show here using bioinformatics and molecular dynamics simulations methods that (i) none of the closely related sequences (encompassing all nucleotides not involved in the maintenance of structural integrity) occur immediately upstream (<100 nt) of a transcription start site, and (ii) that all of these sequences correspond to the same stable tertiary structure. It is concluded that the c-kit87 tertiary structure may also be formed in a very small number of other loci in the human genome, but the likelihood of these playing a significant role in the expression of particular genes is very low. The c-kit87 quadruplex thus fulfils a fundamental criterion of a 'good' drug target, in that it possesses distinctive three-dimensional structural features that are only present in at most a handful of other genes.

Indexed as

Promoter Regions, GeneticBase SequenceCircular DichroismComputational BiologyComputer SimulationDNAGenomicsG-QuadruplexesHumansModels, MolecularProto-Oncogene Proteins c-kitDNAProto-Oncogene Proteins c-kit

Identifiers

PMID17720713
PMCPMC2034477

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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.