Literature DB >> 27250066

Design, execution, and analysis of pooled in vitro CRISPR/Cas9 screens.

Linde A Miles1, Ralph J Garippa2, John T Poirier3,4,5.   

Abstract

The recently described clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 technology has proven to be an exquisitely powerful and invaluable method of genetic manipulation and/or modification. As such, many researchers have realized the potential of using the CRISPR/Cas9 system as a novel screening method for the identification of important proteins in biological processes and have designed short guide RNA libraries for an in vitro screening. The seminal papers describing these libraries offer valuable information regarding methods for generating the short guide RNA libraries, creating cell lines containing these libraries, and specific details regarding the screening workflow. However, certain considerations are often overlooked that may be important when planning and performing a screen, including which CRISPR library to use and how to best analyze the resulting screen data. In this review, we offer suggestions to answer some of these questions that are not covered as deeply in the papers describing the available CRISPR libraries for an in vitro screening.
© 2016 Federation of European Biochemical Societies.

Keywords:  CRISPR; Libraries; Screening; sgRNA

Mesh:

Substances:

Year:  2016        PMID: 27250066     DOI: 10.1111/febs.13770

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  26 in total

1.  MALTA: a calculator for estimating the coverage with shRNA, CRISPR, and cDNA libraries.

Authors:  Venkatramanan Krishnamani; Mark A Stamnes; Robert C Piper
Journal:  SoftwareX       Date:  2019-02-14

2.  DrugThatGene: integrative analysis to streamline the identification of druggable genes, pathways and protein complexes from CRISPR screens.

Authors:  Matthew C Canver; Daniel E Bauer; Takahiro Maeda; Luca Pinello
Journal:  Bioinformatics       Date:  2019-06-01       Impact factor: 6.937

Review 3.  Power in Numbers: Single-Cell RNA-Seq Strategies to Dissect Complex Tissues.

Authors:  Kenneth D Birnbaum
Journal:  Annu Rev Genet       Date:  2018-09-07       Impact factor: 16.830

Review 4.  From Reductionism to Holism: Toward a More Complete View of Development Through Genome Engineering.

Authors:  Rebecca K Delker; Richard S Mann
Journal:  Adv Exp Med Biol       Date:  2017       Impact factor: 2.622

5.  CRISPR-UMI: single-cell lineage tracing of pooled CRISPR-Cas9 screens.

Authors:  Georg Michlits; Maria Hubmann; Szu-Hsien Wu; Gintautas Vainorius; Elena Budusan; Sergei Zhuk; Thomas R Burkard; Maria Novatchkova; Martin Aichinger; Yiqing Lu; John Reece-Hoyes; Roberto Nitsch; Daniel Schramek; Dominic Hoepfner; Ulrich Elling
Journal:  Nat Methods       Date:  2017-10-16       Impact factor: 28.547

Review 6.  Functional interrogation of non-coding DNA through CRISPR genome editing.

Authors:  Matthew C Canver; Daniel E Bauer; Stuart H Orkin
Journal:  Methods       Date:  2017-03-10       Impact factor: 3.608

7.  Exome Sequencing Identifies Candidate Genetic Modifiers of Syndromic and Familial Thoracic Aortic Aneurysm Severity.

Authors:  Benjamin J Landis; Jeffrey A Schubert; Dongbing Lai; Anil G Jegga; Amy R Shikany; Tatiana Foroud; Stephanie M Ware; Robert B Hinton
Journal:  J Cardiovasc Transl Res       Date:  2017-05-26       Impact factor: 4.132

Review 8.  Reprogramming cell fate with artificial transcription factors.

Authors:  Evan A Heiderscheit; Asuka Eguchi; Mackenzie C Spurgat; Aseem Z Ansari
Journal:  FEBS Lett       Date:  2018-02-11       Impact factor: 4.124

Review 9.  Exploring liver cancer biology through functional genetic screens.

Authors:  Cun Wang; Ying Cao; Chen Yang; René Bernards; Wenxin Qin
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2021-06-23       Impact factor: 46.802

10.  CRISPRcloud: a secure cloud-based pipeline for CRISPR pooled screen deconvolution.

Authors:  Hyun-Hwan Jeong; Seon Young Kim; Maxime W C Rousseaux; Huda Y Zoghbi; Zhandong Liu
Journal:  Bioinformatics       Date:  2017-09-15       Impact factor: 6.937

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