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CRISPR01:59

CRISPR

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Genome editing technologies allow scientists to modify an organism’s DNA via the addition, removal, or rearrangement of genetic material at specific genomic locations. These types of techniques could potentially be used to cure genetic disorders such as hemophilia and sickle cell anemia. One popular and widely used DNA-editing research tool that could lead to safe and effective cures for genetic disorders is the CRISPR-Cas9 system. CRISPR-Cas9 stands for Clustered Regularly Interspaced...
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Homologous Recombination02:31

Homologous Recombination

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The basic reaction of homologous recombination (HR) involves two chromatids that contain DNA sequences sharing a significant stretch of identity. One of these sequences uses a strand from another as a template to synthesize DNA in an enzyme-catalyzed reaction. The final product is a novel amalgamation of the two substrates. To ensure an accurate recombination of sequences, HR is restricted to the S and G2 phases of the cell cycle. At these stages, the DNA has been replicated already and the...
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CRISPR and crRNAs02:53

CRISPR and crRNAs

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Bacteria and archaea are susceptible to viral infections just like eukaryotes; therefore, they have developed a unique adaptive immune system to protect themselves. Clustered regularly interspaced short palindromic repeats and CRISPR-associated proteins (CRISPR-Cas) are present in more than 45% of known bacteria and 90% of known archaea.
The CRISPR-Cas system stores a copy of foreign DNA in the host genome and uses it to identify the foreign DNA upon reinfection. CRISPR-Cas has three different...
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CRISPR/Cas9 Genome Editing01:28

CRISPR/Cas9 Genome Editing

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The CRISPR-Cas system serves as a bacterial defense mechanism against invading genetic elements such as viruses and plasmids, forming the foundation for its adaptation as a powerful genome-editing tool. Originally discovered in prokaryotes, this system has been repurposed to revolutionize genetic engineering across a wide range of organisms, including plants, animals, and humans. The core component, Cas9, is an endonuclease derived from Streptococcus pyogenes, capable of introducing...
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Improving Translational Accuracy02:07

Improving Translational Accuracy

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Related Experiment Video

Updated: Jan 1, 2026

Enhanced Genome Editing with Cas9 Ribonucleoprotein in Diverse Cells and Organisms
09:51

Enhanced Genome Editing with Cas9 Ribonucleoprotein in Diverse Cells and Organisms

Published on: May 25, 2018

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Improving CRISPR guide design with consensus approaches.

Jacob Bradford1, Dimitri Perrin2

  • 1School of Electrical Engineering and Computer Science, Science and Engineering Faculty, Queensland University of Technology (QUT), 2 George Street, Brisbane, QLD 4000, Australia.

BMC Genomics
|December 26, 2019
PubMed
Summary
This summary is machine-generated.

Combining CRISPR guide design tools improves accuracy. A consensus approach using four tools, accepting guides from at least three, achieved the highest precision, outperforming individual methods.

Keywords:
CRISPRConsensusGuide design

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • CRISPR-based systems are crucial for genome engineering.
  • Numerous computational tools exist for identifying CRISPR guide RNAs (gRNAs).
  • Limited overlap among tools suggests potential for combined approaches.

Purpose of the Study:

  • To evaluate the effectiveness of combining existing CRISPR guide design tools.
  • To determine if a consensus approach can improve gRNA identification accuracy.

Main Methods:

  • Assessed nine leading gRNA design tools.
  • Tested tools using experimental validation data for two gRNA sets.
  • Employed consensus strategies by combining outputs from multiple tools.

Main Results:

  • Consensus approaches demonstrated superior performance compared to individual tools.
  • The optimal strategy involved combining four tools and accepting guides selected by at least three.
  • This best approach achieved a precision of up to 0.912.

Conclusions:

  • Combining CRISPR guide design tools enhances study reliability and tool development.
  • The proposed consensus method offers improved precision for gRNA selection.
  • Computational demands of running multiple tools may limit applicability in some scenarios.