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Four web tools for analyzing genome editing efficiency showed variable accuracy with complex indels. Careful selection is crucial for reliable results in CRISPR-Cas and other programmable nuclease applications.

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Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics

Background:

  • Genome editing relies on programmable nucleases (PNs), like CRISPR-Cas, for efficient DNA cleavage.
  • Assessing PN efficiency typically involves analyzing indels resulting from double-strand breaks.
  • Sanger sequencing coupled with web tools offers a user-friendly method for estimating indel frequencies.

Purpose of the Study:

  • To evaluate the accuracy of four popular web tools (TIDE, ICE, DECODR, SeqScreener) for analyzing genome editing outcomes.
  • To compare the performance of these tools with varying indel complexities and knock-in sequences.
  • To identify limitations in computational indel analysis for programmable nuclease efficiency assessment.

Main Methods:

  • Utilized artificial sequencing templates with predetermined indels to benchmark web tool performance.
  • Compared indel frequency and sequence deconvolution accuracy across TIDE, ICE, DECODR, and SeqScreener.
  • Analyzed the impact of simple versus complex indels and knock-in sequences on tool estimations.

Main Results:

  • Web tools accurately estimated indel frequencies for simple indels with minor base changes.
  • Increased variability in indel frequency estimations was observed with complex indels and knock-in sequences.
  • While net indel sizes were estimated reliably, sequence deconvolution capabilities varied among the tools.

Conclusions:

  • The accuracy of web-based indel analysis tools is dependent on the complexity of genome editing outcomes.
  • Users must exercise caution and select tools judiciously based on the specific genome editing application.
  • Further development may be needed to improve the deconvolution of complex indel sequences in genome editing analysis.