Evidence map›Paper›PMID 23492433›Full record

ArticleRNA biology2013

CRISPRTarget: bioinformatic prediction and analysis of crRNA targets.

Ambarish Biswas, Joshua N Gagnon, Stan J J Brouns, Peter C Fineran, Chris M Brown

Open access · hybridAbstract read
In one paragraph

Article in RNA biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 papers.

0numbers the graph read from it
0cells of the map it votes in
199citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

199 citing papers in PubMed, 331 citations in OpenAlex.

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  16. Quinolone Resistance and Zoonotic Potential ofAntibiotics (Basel, Switzerland) · 2025
    Article
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139 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

5 authors at 3 institutions in 3 countries.

Ambarish BiswasDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
Joshua N Gagnon
Stan J J Brouns
Peter C Fineran
Chris M Brown
University of Otago · NZCzech Academy of Sciences, Institute of Microbiology · CZWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The bacterial and archaeal CRISPR/Cas adaptive immune system targets specific protospacer nucleotide sequences in invading organisms. This requires base pairing between processed CRISPR RNA and the target protospacer. For type I and II CRISPR/Cas systems, protospacer adjacent motifs (PAM) are essential for target recognition, and for type III, mismatches in the flanking sequences are important in the antiviral response. In this study, we examine the properties of each class of CRISPR. We use this information to provide a tool (CRISPRTarget) that predicts the most likely targets of CRISPR RNAs (http://bioanalysis.otago.ac.nz/CRISPRTarget). This can be used to discover targets in newly sequenced genomic or metagenomic data. To test its utility, we discover features and targets of well-characterized Streptococcus thermophilus and Sulfolobus solfataricus type II and III CRISPR/Cas systems. Finally, in Pectobacterium species, we identify new CRISPR targets and propose a model of temperate phage exposure and subsequent inhibition by the type I CRISPR/Cas systems.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsArchaeal ProteinsArchaeal VirusesBacteriaBacterial ProteinsBacteriophagesBase PairingBase SequenceComputational BiologyCRISPR-Associated ProteinsDNA, IntergenicEvolution, MolecularMolecular Sequence DataRNA, BacterialSequence AlignmentStreptococcus PhagesArchaeal ProteinsBacterial ProteinsCRISPR-Associated ProteinsDNA, IntergenicRNA, BacterialbioinformaticsCasCRISPRcrRNAhorizontal gene transferphage resistanceR-loopsmall RNA targets

Identifiers

PMID23492433
PMCPMC3737339
OpenAlexW2148245360

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.