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Analysis of combinatorial CRISPR screens with the Orthrus scoring pipeline

  1. Author:
    Ward, Henry N.
    Aregger,Michael
    Gonatopoulos Pournatzis,Thomas
    Billmann, Maximilian
    Ohsumi, Toshiro K.
    Brown, Kevin R.
    Blencowe, Benjamin J.
    Moffat, Jason
    Myers, Chad L.
  2. Author Address

    Univ Minnesota Twin Cities, Bioinformat & Computat Biol Grad Program, Minneapolis, MN 55417 USA.Univ Toronto, Donnelly Ctr, Toronto, ON, Canada.NCI, RNA Biol Lab, NIH, Frederick, MD 21701 USA.Univ Minnesota Twin Cities, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA.Repare Therapeut, Cambridge, MA USA.Univ Toronto, Dept Mol Genet, Toronto, ON, Canada.Univ Toronto, Inst Biomed Engn, Toronto, ON, Canada.
    1. Year: 2021
    2. Date: Oct
    3. Epub Date: 2021 09 10
  1. Journal: Nature protocols
  2. NATURE PORTFOLIO,
    1. 16
    2. 10
    3. Pages: 4766-4798
  3. Type of Article: Review
  4. ISSN: 1754-2189
  1. Abstract:

    The continued improvement of combinatorial CRISPR screening platforms necessitates the development of new computational pipelines for scoring combinatorial screening data. Unlike for single-guide RNA (sgRNA) pooled screening platforms, combinatorial scoring for multiplexed systems is confounded by guide design parameters such as the number of gRNAs per construct, the position of gRNAs along constructs, and additional features that may impact gRNA expression, processing or capture. In this protocol we describe Orthrus, an R package for processing, scoring and analyzing combinatorial CRISPR screening data that addresses these challenges. This protocol walks through the application of Orthrus to previously published combinatorial screening data from the CHyMErA experimental system, a platform we recently developed that pairs Cas9 with Cas12a gRNAs and enables programmed targeting of multiple genomic sites. We demonstrate Orthrus' features for screen quality assessment and two distinct scoring modes for dual guide RNAs (dgRNAs) that target the same gene twice or dgRNAs that target two different genes. Running Orthrus requires basic R programming experience, -5-10 min of computational time and 15-60 min total.

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External Sources

  1. DOI: 10.1038/s41596-021-00596-0
  2. PMID: 34508259
  3. WOS: 000694787100001

Library Notes

  1. Fiscal Year: FY2021-2022
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