Evidence map›Paper›PMID 21482539›Full record

ArticleNucleic acids research2011

Context dependence between subdomains in the DNA binding interface of the I-CreI homing endonuclease.

Sylvestre Grizot, Aymeric Duclert, Séverine Thomas, Philippe Duchateau, Frédéric Pâques

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Salient Features of Endonuclease Platforms for Therapeutic Genome Editing.Molecular therapy : the journal of the American Society of Gene Therapy · 2016
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

5 authors.

Sylvestre GrizotCELLECTIS SA, 102 Avenue Gaston Roussel, 93235 Romainville, France.
Aymeric Duclert
Séverine Thomas
Philippe Duchateau
Frédéric Pâques

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Homing endonucleases (HE) have emerged as precise tools for achieving gene targeting events. Redesigned HEs with tailored specificities can be used to cleave new sequences, thereby considerably expanding the number of targetable genes and loci. With HEs, as well as with other protein scaffolds, context dependence of DNA/protein interaction patterns remains one of the major limitations for rational engineering of new DNA binders. Previous studies have shown strong crosstalk between different residues and regions of the DNA binding interface. To investigate this phenomenon, we systematically combined mutations from three groups of amino acids in the DNA binding regions of the I-CreI HE. Our results confirm that important crosstalk occurs throughout this interface in I-CreI. Detailed analysis of success rates identified a nearest-neighbour effect, with a more pronounced level of dependence between adjacent regions. Taken together, these data suggest that combinatorial engineering does not necessarily require the identification of separable functional or structural regions, and that groups of amino acids provide acceptable building blocks that can be assembled, overcoming the context dependency of the DNA binding interface. Furthermore, the present work describes a sequential method to engineer tailored HEs, wherein three contiguous regions are individually mutated and assembled to create HEs with engineered specificity.

Indexed as

Binding SitesDNA-Binding ProteinsDNA Restriction EnzymesModels, MolecularMutationProtein EngineeringProtein Structure, TertiarySubstrate SpecificityDNA-Binding ProteinsDNA Restriction Enzymesendodeoxyribonuclease CreI

Identifiers

PMID21482539
PMCPMC3152339

What OpenQuestion holds

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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.