Literature DB >> 34152211

Identification and Evolution of Cas9 tracrRNAs.

Shane K Dooley1, Erica K Baken2, Walter N Moss3, Adina Howe1, Joshua K Young4.   

Abstract

Clustered regularly interspaced palindromic repeats (CRISPR)-associated (Cas)9 transactivating CRISPR RNAs (tracrRNAs) form distinct structures essential for target recognition and cleavage and dictate exchangeability between orthologous proteins. As noncoding RNAs that are often apart from the CRISPR array, their identification can be arduous. In this article, a new bioinformatic method for the detection of Cas9 tracrRNAs is presented. The approach utilizes a covariance model based on both sequence homology and predicted secondary structure to locate tracrRNAs. This method predicts a tracrRNA for 98% of CRISPR-Cas9 systems identified by us. To ensure accuracy, we also benchmark our approach against biochemically vetted tracrRNAs finding false-positive and false-negative rates of 5.5% and 7.1%, respectively. Finally, the association between Cas9 amino acid sequence-based phylogeny and tracrRNA secondary structure is evaluated, revealing strong evidence that secondary structure is evolutionarily conserved among Cas9 lineages. Altogether, our findings provide insight into Cas9 tracrRNA evolution and efforts to characterize the tracrRNA of Cas9 systems.

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Year:  2021        PMID: 34152211      PMCID: PMC8336202          DOI: 10.1089/crispr.2020.0093

Source DB:  PubMed          Journal:  CRISPR J        ISSN: 2573-1599


  55 in total

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2.  Prediction and diversity of tracrRNAs from type II CRISPR-Cas systems.

Authors:  Te-Yuan Chyou; Chris M Brown
Journal:  RNA Biol       Date:  2018-08-02       Impact factor: 4.652

Review 3.  One Prime for All Editing.

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4.  CRISPR elements in Yersinia pestis acquire new repeats by preferential uptake of bacteriophage DNA, and provide additional tools for evolutionary studies.

Authors:  C Pourcel; G Salvignol; G Vergnaud
Journal:  Microbiology (Reading)       Date:  2005-03       Impact factor: 2.777

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Journal:  Science       Date:  2013-01-03       Impact factor: 47.728

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7.  Orthogonal Cas9 proteins for RNA-guided gene regulation and editing.

Authors:  Kevin M Esvelt; Prashant Mali; Jonathan L Braff; Mark Moosburner; Stephanie J Yaung; George M Church
Journal:  Nat Methods       Date:  2013-09-29       Impact factor: 28.547

8.  CD-HIT: accelerated for clustering the next-generation sequencing data.

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9.  MUSCLE: a multiple sequence alignment method with reduced time and space complexity.

Authors:  Robert C Edgar
Journal:  BMC Bioinformatics       Date:  2004-08-19       Impact factor: 3.169

10.  RNA-guided gene activation by CRISPR-Cas9-based transcription factors.

Authors:  Pablo Perez-Pinera; D Dewran Kocak; Christopher M Vockley; Andrew F Adler; Ami M Kabadi; Lauren R Polstein; Pratiksha I Thakore; Katherine A Glass; David G Ousterout; Kam W Leong; Farshid Guilak; Gregory E Crawford; Timothy E Reddy; Charles A Gersbach
Journal:  Nat Methods       Date:  2013-07-25       Impact factor: 28.547

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  1 in total

1.  CRISPRtracrRNA: robust approach for CRISPR tracrRNA detection.

Authors:  Alexander Mitrofanov; Marcus Ziemann; Omer S Alkhnbashi; Wolfgang R Hess; Rolf Backofen
Journal:  Bioinformatics       Date:  2022-09-16       Impact factor: 6.931

  1 in total

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