Literature DB >> 29158600

CRISPR/Cas9 library screening for drug target discovery.

Morito Kurata1,2, Kouhei Yamamoto3, Branden S Moriarity4,5,6, Masanobu Kitagawa3, David A Largaespada4,5,6,7.   

Abstract

CRISPR/Cas9-based tools have rapidly developed in recent years. These include CRISPR-based gene activation (CRISPRa) or inhibition (CRISPRi), for which there are libraries. CRISPR libraries for loss of function have been widely used to identify new biological mechanisms, such as drug resistance and cell survival signals. CRISPRa is highly useful in screening for gain of functions, and CRISPRi is a more powerful tool than RNA interference (RNAi) libraries in screening for loss of functions. Positive selection using a CRISPR library can detect survival cells with specific conditions, such as drug treatment, and it can easily clarify drug resistance mechanisms. Negative selection is capable of detecting dead or slow-growing cells efficiently, and it can identify survival-essential genes, which can be promising candidates for molecularly targeted drugs. In addition, negative selection can be applied for synthetic lethality interactions, where the perturbation of both genes simultaneously results in the loss of viability, but that of either gene alone does not affect viability. This mechanism is highly important to identifying the optimal combination of molecularly targeted drugs. Survival-co-essential genes in cancer cells can be identified using new methods, such as the paired guide RNA system and in combination with single-cell RNA sequencing techniques. These efficient methods can clarify interesting biological mechanisms and suggest candidates for molecularly targeted drugs. This review identifies what types of screenings were performed and suggests ideas for the next CRISPR screenings to develop new drugs.

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Year:  2017        PMID: 29158600     DOI: 10.1038/s10038-017-0376-9

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  49 in total

1.  Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq.

Authors:  Diego Adhemar Jaitin; Assaf Weiner; Ido Yofe; David Lara-Astiaso; Hadas Keren-Shaul; Eyal David; Tomer Meir Salame; Amos Tanay; Alexander van Oudenaarden; Ido Amit
Journal:  Cell       Date:  2016-12-15       Impact factor: 41.582

2.  High-throughput screening of a CRISPR/Cas9 library for functional genomics in human cells.

Authors:  Yuexin Zhou; Shiyou Zhu; Changzu Cai; Pengfei Yuan; Chunmei Li; Yanyi Huang; Wensheng Wei
Journal:  Nature       Date:  2014-04-09       Impact factor: 49.962

3.  A genome-wide CRISPR screen identifies a restricted set of HIV host dependency factors.

Authors:  Ryan J Park; Tim Wang; Dylan Koundakjian; Judd F Hultquist; Pedro Lamothe-Molina; Blandine Monel; Kathrin Schumann; Haiyan Yu; Kevin M Krupzcak; Wilfredo Garcia-Beltran; Alicja Piechocka-Trocha; Nevan J Krogan; Alexander Marson; David M Sabatini; Eric S Lander; Nir Hacohen; Bruce D Walker
Journal:  Nat Genet       Date:  2016-12-19       Impact factor: 38.330

4.  shRNA library screening identifies nucleocytoplasmic transport as a mediator of BCR-ABL1 kinase-independent resistance.

Authors:  Jamshid S Khorashad; Anna M Eiring; Clinton C Mason; Kevin C Gantz; Amber D Bowler; Hannah M Redwine; Fan Yu; Ira L Kraft; Anthony D Pomicter; Kimberly R Reynolds; Anthony J Iovino; Matthew S Zabriskie; William L Heaton; Srinivas K Tantravahi; Michael Kauffman; Sharon Shacham; Alex Chenchik; Kyle Bonneau; Katharine S Ullman; Thomas O'Hare; Michael W Deininger
Journal:  Blood       Date:  2015-01-08       Impact factor: 22.113

Review 5.  Retroviral insertional mutagenesis identifies oncogene cooperation.

Authors:  Takuro Nakamura
Journal:  Cancer Sci       Date:  2005-01       Impact factor: 6.716

6.  Transposon-mediated mutagenesis of somatic cells in the mouse for cancer gene identification.

Authors:  David A Largaespada
Journal:  Methods       Date:  2009-07-14       Impact factor: 3.608

7.  Functional receptor molecules CD300lf and CD300ld within the CD300 family enable murine noroviruses to infect cells.

Authors:  Kei Haga; Akira Fujimoto; Reiko Takai-Todaka; Motohiro Miki; Yen Hai Doan; Kosuke Murakami; Masaru Yokoyama; Kazuyoshi Murata; Akira Nakanishi; Kazuhiko Katayama
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-28       Impact factor: 11.205

8.  Using genome-wide CRISPR library screening with library resistant DCK to find new sources of Ara-C drug resistance in AML.

Authors:  Morito Kurata; Susan K Rathe; Natashay J Bailey; Natalie K Aumann; Justine M Jones; G Willemijn Veldhuijzen; Branden S Moriarity; David A Largaespada
Journal:  Sci Rep       Date:  2016-11-03       Impact factor: 4.379

9.  Pooled CRISPR screening with single-cell transcriptome readout.

Authors:  André F Rendeiro; Christian Schmidl; Paul Datlinger; Thomas Krausgruber; Peter Traxler; Johanna Klughammer; Linda C Schuster; Amelie Kuchler; Donat Alpar; Christoph Bock
Journal:  Nat Methods       Date:  2017-01-18       Impact factor: 28.547

10.  Genetic dissection of Flaviviridae host factors through genome-scale CRISPR screens.

Authors:  Caleb D Marceau; Andreas S Puschnik; Karim Majzoub; Yaw Shin Ooi; Susan M Brewer; Gabriele Fuchs; Kavya Swaminathan; Miguel A Mata; Joshua E Elias; Peter Sarnow; Jan E Carette
Journal:  Nature       Date:  2016-06-17       Impact factor: 49.962

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  32 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

Review 2.  Integrating CRISPR Engineering and hiPSC-Derived 2D Disease Modeling Systems.

Authors:  Kristina Rehbach; Michael B Fernando; Kristen J Brennand
Journal:  J Neurosci       Date:  2020-02-05       Impact factor: 6.167

Review 3.  Modeling Psychiatric Disorder Biology with Stem Cells.

Authors:  Debamitra Das; Kyra Feuer; Marah Wahbeh; Dimitrios Avramopoulos
Journal:  Curr Psychiatry Rep       Date:  2020-04-21       Impact factor: 5.285

4.  Polo-Like Kinase 1 Regulates Chromosomal Instability and Paclitaxel Resistance in Breast Cancer Cells.

Authors:  Ju Hee Kim; Hyeong-Gon Moon; Mingji Quan; Yumi Oh; Sung-Yup Cho
Journal:  J Breast Cancer       Date:  2022-06       Impact factor: 2.922

Review 5.  Delivery approaches for CRISPR/Cas9 therapeutics in vivo: advances and challenges.

Authors:  D C Luther; Y W Lee; H Nagaraj; F Scaletti; V M Rotello
Journal:  Expert Opin Drug Deliv       Date:  2018-09-12       Impact factor: 6.648

Review 6.  Cancer diagnosis and immunotherapy in the age of CRISPR.

Authors:  Peter J Cook; Andrea Ventura
Journal:  Genes Chromosomes Cancer       Date:  2018-12-20       Impact factor: 5.006

Review 7.  Acceleration of cancer science with genome editing and related technologies.

Authors:  Tetsushi Sakuma; Takashi Yamamoto
Journal:  Cancer Sci       Date:  2018-10-31       Impact factor: 6.716

8.  The BioGRID interaction database: 2019 update.

Authors:  Rose Oughtred; Chris Stark; Bobby-Joe Breitkreutz; Jennifer Rust; Lorrie Boucher; Christie Chang; Nadine Kolas; Lara O'Donnell; Genie Leung; Rochelle McAdam; Frederick Zhang; Sonam Dolma; Andrew Willems; Jasmin Coulombe-Huntington; Andrew Chatr-Aryamontri; Kara Dolinski; Mike Tyers
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

Review 9.  CRISPR-Cas deployment in non-small cell lung cancer for target screening, validations, and discoveries.

Authors:  K Sreedurgalakshmi; R Srikar; Reena Rajkumari
Journal:  Cancer Gene Ther       Date:  2020-11-15       Impact factor: 5.987

Review 10.  How genomics can be used to understand host susceptibility to enteric infection, aiding in the development of vaccines and immunotherapeutic interventions.

Authors:  Lynda Mottram; Subhra Chakraborty; Eric Cox; James Fleckenstein
Journal:  Vaccine       Date:  2019-01-29       Impact factor: 3.641

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