Evidence map›Paper›PMID 37339984›Full record

ArticleNature communications2023

Dynamic interplay between target search and recognition for a Type I CRISPR-Cas system.

Pierre Aldag, Marius Rutkauskas, Julene Madariaga-Marcos, Inga Songailiene, Tomas Sinkunas, Felix Kemmerich, Dominik Kauert, Virginijus Siksnys, Ralf Seidel

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Biophysical characterization ofSensors & diagnostics · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

9 authors.

Pierre AldagPeter Debye Institute for Soft Matter Physics, Universität Leipzig, 04103, Leipzig, Germany.
Marius RutkauskasPeter Debye Institute for Soft Matter Physics, Universität Leipzig, 04103, Leipzig, Germany.
Julene Madariaga-MarcosPeter Debye Institute for Soft Matter Physics, Universität Leipzig, 04103, Leipzig, Germany.
Inga SongailieneInstitute of Biotechnology, Life Sciences Center, Vilnius University, Saulėtekis ave. 7, Vilnius, 10257, Lithuania.
Tomas SinkunasInstitute of Biotechnology, Life Sciences Center, Vilnius University, Saulėtekis ave. 7, Vilnius, 10257, Lithuania.
Felix KemmerichPeter Debye Institute for Soft Matter Physics, Universität Leipzig, 04103, Leipzig, Germany.
Dominik KauertPeter Debye Institute for Soft Matter Physics, Universität Leipzig, 04103, Leipzig, Germany.ORCID 0000-0002-1796-6181
Virginijus SiksnysInstitute of Biotechnology, Life Sciences Center, Vilnius University, Saulėtekis ave. 7, Vilnius, 10257, Lithuania. siksnys@ibt.lt.ORCID 0000-0003-1983-2096
Ralf SeidelPeter Debye Institute for Soft Matter Physics, Universität Leipzig, 04103, Leipzig, Germany. ralf.seidel@physik.uni-leipzig.de.ORCID 0000-0002-6642-053X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CRISPR-Cas effector complexes enable the defense against foreign nucleic acids and have recently been exploited as molecular tools for precise genome editing at a target locus. To bind and cleave their target, the CRISPR-Cas effectors have to interrogate the entire genome for the presence of a matching sequence. Here we dissect the target search and recognition process of the Type I CRISPR-Cas complex Cascade by simultaneously monitoring DNA binding and R-loop formation by the complex. We directly quantify the effect of DNA supercoiling on the target recognition probability and demonstrate that Cascade uses facilitated diffusion for its target search. We show that target search and target recognition are tightly linked and that DNA supercoiling and limited 1D diffusion need to be considered when understanding target recognition and target search by CRISPR-Cas enzymes and engineering more efficient and precise variants.

Indexed as

CRISPR-Cas SystemsDNADNA

Identifiers

PMID37339984
PMCPMC10281945

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.