Literature DB >> 34508259

Analysis of combinatorial CRISPR screens with the Orthrus scoring pipeline.

Henry N Ward1, Michael Aregger2,3, Thomas Gonatopoulos-Pournatzis2,3, Maximilian Billmann4, Toshiro K Ohsumi5, Kevin R Brown2, Benjamin J Blencowe2,6, Jason Moffat2,6,7, Chad L Myers8,9.   

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.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2021        PMID: 34508259      PMCID: PMC9084619          DOI: 10.1038/s41596-021-00596-0

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   17.021


  25 in total

1.  Genetic screens in human cells using the CRISPR-Cas9 system.

Authors:  Tim Wang; Jenny J Wei; David M Sabatini; Eric S Lander
Journal:  Science       Date:  2013-12-12       Impact factor: 47.728

2.  High-Resolution CRISPR Screens Reveal Fitness Genes and Genotype-Specific Cancer Liabilities.

Authors:  Traver Hart; Megha Chandrashekhar; Michael Aregger; Zachary Steinhart; Kevin R Brown; Graham MacLeod; Monika Mis; Michal Zimmermann; Amelie Fradet-Turcotte; Song Sun; Patricia Mero; Peter Dirks; Sachdev Sidhu; Frederick P Roth; Olivia S Rissland; Daniel Durocher; Stephane Angers; Jason Moffat
Journal:  Cell       Date:  2015-11-25       Impact factor: 41.582

3.  limma powers differential expression analyses for RNA-sequencing and microarray studies.

Authors:  Matthew E Ritchie; Belinda Phipson; Di Wu; Yifang Hu; Charity W Law; Wei Shi; Gordon K Smyth
Journal:  Nucleic Acids Res       Date:  2015-01-20       Impact factor: 16.971

Review 4.  Genetic interaction networks: better understand to better predict.

Authors:  Benjamin Boucher; Sarah Jenna
Journal:  Front Genet       Date:  2013-12-17       Impact factor: 4.599

5.  Orthologous CRISPR-Cas9 enzymes for combinatorial genetic screens.

Authors:  Fadi J Najm; Christine Strand; Katherine F Donovan; Mudra Hegde; Kendall R Sanson; Emma W Vaimberg; Meagan E Sullender; Ella Hartenian; Zohra Kalani; Nicolo Fusi; Jennifer Listgarten; Scott T Younger; Bradley E Bernstein; David E Root; John G Doench
Journal:  Nat Biotechnol       Date:  2017-12-18       Impact factor: 54.908

6.  Functional annotation of chemical libraries across diverse biological processes.

Authors:  Jeff S Piotrowski; Sheena C Li; Raamesh Deshpande; Scott W Simpkins; Justin Nelson; Yoko Yashiroda; Jacqueline M Barber; Hamid Safizadeh; Erin Wilson; Hiroki Okada; Abraham A Gebre; Karen Kubo; Nikko P Torres; Marissa A LeBlanc; Kerry Andrusiak; Reika Okamoto; Mami Yoshimura; Eva DeRango-Adem; Jolanda van Leeuwen; Katsuhiko Shirahige; Anastasia Baryshnikova; Grant W Brown; Hiroyuki Hirano; Michael Costanzo; Brenda Andrews; Yoshikazu Ohya; Hiroyuki Osada; Minoru Yoshida; Chad L Myers; Charles Boone
Journal:  Nat Chem Biol       Date:  2017-07-24       Impact factor: 15.040

7.  A Genome-wide CRISPR Screen Identifies CDC25A as a Determinant of Sensitivity to ATR Inhibitors.

Authors:  Sergio Ruiz; Cristina Mayor-Ruiz; Vanesa Lafarga; Matilde Murga; Maria Vega-Sendino; Sagrario Ortega; Oscar Fernandez-Capetillo
Journal:  Mol Cell       Date:  2016-04-07       Impact factor: 17.970

8.  Predicting bioprocess targets of chemical compounds through integration of chemical-genetic and genetic interactions.

Authors:  Scott W Simpkins; Justin Nelson; Raamesh Deshpande; Sheena C Li; Jeff S Piotrowski; Erin H Wilson; Abraham A Gebre; Hamid Safizadeh; Reika Okamoto; Mami Yoshimura; Michael Costanzo; Yoko Yashiroda; Yoshikazu Ohya; Hiroyuki Osada; Minoru Yoshida; Charles Boone; Chad L Myers
Journal:  PLoS Comput Biol       Date:  2018-10-30       Impact factor: 4.475

9.  Systematic mapping of genetic interactions for de novo fatty acid synthesis identifies C12orf49 as a regulator of lipid metabolism.

Authors:  Michael Aregger; Keith A Lawson; Maximillian Billmann; Michael Costanzo; Amy H Y Tong; Katherine Chan; Mahfuzur Rahman; Kevin R Brown; Catherine Ross; Matej Usaj; Lucy Nedyalkova; Olga Sizova; Andrea Habsid; Judy Pawling; Zhen-Yuan Lin; Hala Abdouni; Cassandra J Wong; Alexander Weiss; Patricia Mero; James W Dennis; Anne-Claude Gingras; Chad L Myers; Brenda J Andrews; Charles Boone; Jason Moffat
Journal:  Nat Metab       Date:  2020-06-01

10.  Multiplex enCas12a screens detect functional buffering among paralogs otherwise masked in monogenic Cas9 knockout screens.

Authors:  Merve Dede; Megan McLaughlin; Eiru Kim; Traver Hart
Journal:  Genome Biol       Date:  2020-10-15       Impact factor: 13.583

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  1 in total

Review 1.  Common computational tools for analyzing CRISPR screens.

Authors:  Medina Colic; Traver Hart
Journal:  Emerg Top Life Sci       Date:  2021-12-21
  1 in total

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