Evidence map›Paper›PMID 32010936›Full record

ReviewBiochemical Society transactions2020

Detection of CRISPR adaptation.

Anna Shiriaeva, Ivan Fedorov, Danylo Vyhovskyi, Konstantin Severinov

Abstract readReview
In one paragraph

Review in Biochemical Society transactions, 2020. 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
–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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Digging into the lesser-known aspects of CRISPR biology.International microbiology : the official journal of the Spanish Society for Microbiology · 2021
    Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
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.

Anna ShiriaevaCenter of Life Sciences, Skolkovo Institute of Science and Technology, Moscow 121205, Russia.
Ivan FedorovCenter of Life Sciences, Skolkovo Institute of Science and Technology, Moscow 121205, Russia.
Danylo VyhovskyiCenter of Life Sciences, Skolkovo Institute of Science and Technology, Moscow 121205, Russia.
Konstantin SeverinovCenter of Life Sciences, Skolkovo Institute of Science and Technology, Moscow 121205, Russia.

Funding

The Function of Small RNA-Based viral Defense System in E. coli - Renewal 1R01GM104071 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI SEMENOVA, EKATERINA · 2013 to 2024
$3.9M
NIGMS NIH HHS R01 GM104071
6 · The paper itself

Abstract

Prokaryotic adaptive immunity is built when short DNA fragments called spacers are acquired into CRISPR (clustered regularly interspaced short palindromic repeats) arrays. CRISPR adaptation is a multistep process which comprises selection, generation, and incorporation of prespacers into arrays. Once adapted, spacers provide immunity through the recognition of complementary nucleic acid sequences, channeling them for destruction. To prevent deleterious autoimmunity, CRISPR adaptation must therefore be a highly regulated and infrequent process, at least in the absence of genetic invaders. Over the years, ingenious methods to study CRISPR adaptation have been developed. In this paper, we discuss and compare methods that detect CRISPR adaptation and its intermediates in vivo and propose suppressing PCR as a simple modification of a popular assay to monitor spacer acquisition with increased sensitivity.

Indexed as

Adaptation, PhysiologicalAdaptive ImmunityBase SequenceCells, CulturedClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsEscherichia coliPolymerase Chain ReactionProkaryotic CellsCRISPR adaptationCRISPR arraysCRISPR-Cas systemsspacers

Identifiers

PMID32010936
PMCPMC7054753

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.