Evidence map›Paper›PMID 30171202›Full record

ReviewNature reviews. Microbiology2019

Molecular mechanisms of CRISPR-Cas spacer acquisition.

Jon McGinn, Luciano A Marraffini

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed
10.6field-weighted citation impact, top 1% 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

147 citing papers in PubMed, 276 citations in OpenAlex.

  1. Article
  2. Article
  3. Domain shuffling of endolysin LysKB317 to controlBiotechnology reports (Amsterdam, Netherlands) · 2026
    Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. CRISPR-Cas targeting inmicroLife · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Characterization of Five CRISPR Systems inInternational journal of molecular sciences · 2025
    Article

87 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Jon McGinnLaboratory of Bacteriology, The Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0000-0002-5899-5325
Luciano A MarraffiniLaboratory of Bacteriology, The Rockefeller University, New York, NY, USA. marraffini@rockefeller.edu.
Rockefeller University · US

Funding

Generation of immunological memory by CRISPR-Cas systemsDP1GM128184 · NIGMS · ROCKEFELLER UNIVERSITY · PI MARRAFFINI, LUCIANO A · 2017 to 2021
$5.9M
NIGMS NIH HHS DP1 GM128184
6 · The paper itself

Abstract

Many bacteria and archaea have the unique ability to heritably alter their genomes by incorporating small fragments of foreign DNA, called spacers, into CRISPR loci. Once transcribed and processed into individual CRISPR RNAs, spacer sequences guide Cas effector nucleases to destroy complementary, invading nucleic acids. Collectively, these two processes are known as the CRISPR-Cas immune response. In this Progress article, we review recent studies that have advanced our understanding of the molecular mechanisms underlying spacer acquisition and that have revealed a fundamental link between the two phases of CRISPR immunity that ensures optimal immunity from newly acquired spacers. Finally, we highlight important open questions and discuss the potential basic and applied impact of spacer acquisition research.

Indexed as

CRISPR-Cas SystemsDNA, IntergenicArchaeaBacteriaClustered Regularly Interspaced Short Palindromic RepeatsGenomeDNA, Intergenic

Identifiers

PMID30171202
OpenAlexW2889006480

What OpenQuestion holds

Textmetadata
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.