Nucleic Acids Research · 2022 · 23 citations · 44 references
Life SciencesGeneticsMolecular BiologyGenetic EngineeringGenome EngineeringGenomicsCrispr-based EngineeringCrispr-cas SystemsGenome Integration StrategiesBacterial Crispr DefenseBacterial Genome EngineeringCrispr-assisted IntegrationCrispr-based Genome EngineeringDna IntegrationGenetic Mobile ElementsPrecision Genome EngineeringSite-specific Integration
CRISPR-Cas systems generally provide adaptive immunity in prokaryotes through RNA-guided degradation of foreign genetic elements like bacteriophages and plasmids. Recently, however, transposon-encoded and nuclease-deficient CRISPR-Cas systems were characterized and shown to be co-opted by Tn7-like transposons for CRISPR RNA-guided DNA transposition. As a genome engineering tool, these CRISPR-Cas systems and their associated transposon proteins can be deployed for programmable, site-specific integration of sizable cargo DNA, circumventing the need for DNA cleavage and homology-directed repair involving endogenous repair machinery. Here, we selected a diverse set of type I-F3 CRISPR-associated transposon systems derived from Gammaproteobacteria, predicted all components essential for transposition activity, and deployed them for functionality testing within Escherichia coli. Our results demonstrate that these systems possess a significant range of integration efficiencies with regards to temperature, transposon size, and flexible PAM requirements. Additionally, our findings support the categorization of these systems into functional compatibility groups for efficient and orthogonal RNA-guided DNA integration. This work expands the CRISPR-based toolbox with new CRISPR RNA-guided DNA integrases that can be applied to complex and extensive genome engineering efforts.
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BLAST+: architecture and applications
Christiam Camacho, George Coulouris, Vahram Avagyan et al. · BMC Bioinformatics · 2009 · 23.2K citations · Full text
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Torsten Seemann · Bioinformatics · 2014 · 19.6K citations
WebLogo: A Sequence Logo Generator: Figure 1
Gavin E. Crooks, Gary C. Hon, John‐Marc Chandonia et al. · Genome Research · 2004 · 13K citations · Full text
CD-HIT: accelerated for clustering the next-generation sequencing data
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Life Sciences, Bioinformatics, High-performance Computing +12