Evidence map›Paper›PMID 36124799›Full record

ArticleBioinformatics (Oxford, England)2022

CRISPRtracrRNA: robust approach for CRISPR tracrRNA detection.

Alexander Mitrofanov, Marcus Ziemann, Omer S Alkhnbashi, Wolfgang R Hess, Rolf Backofen

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2022. 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. Review
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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.

Alexander MitrofanovChair of Bioinformatics, University of Freiburg, Freiburg, Germany.
Marcus ZiemannFaculty of Biology, Genetics and Experimental Bioinformatics, University of Freiburg, Freiburg, Germany.
Omer S AlkhnbashiInformation and Computer Science Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.
Wolfgang R HessFaculty of Biology, Genetics and Experimental Bioinformatics, University of Freiburg, Freiburg, Germany.
Rolf BackofenChair of Bioinformatics, University of Freiburg, Freiburg, Germany.ORCID 0000-0001-8231-3323

Funding

Baden-Wuerttemberg Ministry of Science, Research and ArtCollaborative Research Centre 992 Medical Epigenetics SFB 992/1 2012DFG BA 2168/23-1/2Freiburg Galaxy Team: Rolf Backofen and Björn Grüning, BioinformaticsGerman Federal Ministry of Education and Research BMBF 031 A538AGerman Research Foundation ECCB2022Much more than Defence: the Multiple Functions and Facets of CRISPR-CasUniversity of Freiburg
6 · The paper itself

Abstract

motivationThe CRISPR-Cas9 system is a Type II CRISPR system that has rapidly become the most versatile and widespread tool for genome engineering. It consists of two components, the Cas9 effector protein, and a single guide RNA that combines the spacer (for identifying the target) with the tracrRNA, a trans-activating small RNA required for both crRNA maturation and interference. While there are well-established methods for screening Cas effector proteins and CRISPR arrays, the detection of tracrRNA remains the bottleneck in detecting Class 2 CRISPR systems.

resultsWe introduce a new pipeline CRISPRtracrRNA for screening and evaluation of tracrRNA candidates in genomes. This pipeline combines evidence from different components of the Cas9-sgRNA complex. The core is a newly developed structural model via covariance models from a sequence-structure alignment of experimentally validated tracrRNAs. As additional evidence, we determine the terminator signal (required for the tracrRNA transcription) and the RNA-RNA interaction between the CRISPR array repeat and the 5'-part of the tracrRNA. Repeats are detected via an ML-based approach (CRISPRidenify). Providing further evidence, we detect the cassette containing the Cas9 (Type II CRISPR systems) and Cas12 (Type V CRISPR systems) effector protein. Our tool is the first for detecting tracrRNA for Type V systems. AVAILABILITY AND IMPLEMENTATION: The implementation of the CRISPRtracrRNA is available on GitHub upon requesting the access permission, (https://github.com/BackofenLab/CRISPRtracrRNA). Data generated in this study can be obtained upon request to the corresponding person: Rolf Backofen (backofen@informatik.uni-freiburg.de). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

CRISPR-Cas SystemsRNAGenomeHumansRNA, Small UntranslatedSequence AlignmentRNARNA, Small Untranslated

Identifiers

PMID36124799
PMCPMC9486595

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.