Literature DB >> 28288827

CRISPR/Cas9 editing of the genome for cancer modeling.

Alexis Guernet1, Luca Grumolato2.   

Abstract

The CRISPR/Cas9 revolution has democratized access to genome editing in many biological fields, including cancer research. Cancer results from the multistep accumulation of mutations that confer to the transformed cells certain biological hallmarks typical of the malignant phenotype. One of the major goals in cancer research is to characterize such mutations and assess their implication in the oncogenic process. Through CRISPR/Cas9 technology, genetic aberrations identified in a patient's tumor can now be easily recreated in experimental models, which can then be used for basic research or for more translational applications. Here we review the different CRISPR/Cas9 strategies that have been implemented to recapitulate oncogenic mutations in both in vitro and in vivo systems, including novel strategies to model tumor evolution and genetic heterogeneity.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CRISPR-barcoding; CRISPR/Cas9; Cancer model; Oncogene; Tumor heterogeneity; Tumor suppressor

Mesh:

Substances:

Year:  2017        PMID: 28288827     DOI: 10.1016/j.ymeth.2017.03.007

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  15 in total

Review 1.  CRISPR-Cas9: A multifaceted therapeutic strategy for cancer treatment.

Authors:  Itishree Kaushik; Sharavan Ramachandran; Sanjay K Srivastava
Journal:  Semin Cell Dev Biol       Date:  2019-05-04       Impact factor: 7.727

Review 2.  Research on CRISPR/system in major cancers and its potential in cancer treatments.

Authors:  Z Liu; Z Liao; Y Chen; L Zhou; W Huangting; H Xiao
Journal:  Clin Transl Oncol       Date:  2020-07-15       Impact factor: 3.405

3.  Identification and Characterization of Metastatic Factors by Gene Transfer into the Novel RIP-Tag; RIP-tva Murine Model.

Authors:  George Zhang; Yudan Chi; Yi-Chieh Nancy Du
Journal:  J Vis Exp       Date:  2017-10-16       Impact factor: 1.355

Review 4.  Animal Models to Study MicroRNA Function.

Authors:  Arpita S Pal; Andrea L Kasinski
Journal:  Adv Cancer Res       Date:  2017-08-08       Impact factor: 6.242

Review 5.  Modeling phenotypes of malignant gliomas.

Authors:  Oltea Sampetrean; Hideyuki Saya
Journal:  Cancer Sci       Date:  2017-11-15       Impact factor: 6.716

Review 6.  Preclinical Imaging for the Study of Mouse Models of Thyroid Cancer.

Authors:  Adelaide Greco; Luigi Auletta; Francesca Maria Orlandella; Paola Lucia Chiara Iervolino; Michele Klain; Giuliana Salvatore; Marcello Mancini
Journal:  Int J Mol Sci       Date:  2017-12-16       Impact factor: 5.923

Review 7.  Glioblastoma: new therapeutic strategies to address cellular and genomic complexity.

Authors:  Xue Cai; Michael E Sughrue
Journal:  Oncotarget       Date:  2017-12-20

Review 8.  Type II CRISPR/Cas9 approach in the oncological therapy.

Authors:  A Biagioni; A Chillà; E Andreucci; A Laurenzana; F Margheri; S Peppicelli; M Del Rosso; G Fibbi
Journal:  J Exp Clin Cancer Res       Date:  2017-06-15

9.  Multiplexed in vivo homology-directed repair and tumor barcoding enables parallel quantification of Kras variant oncogenicity.

Authors:  Ian P Winters; Shin-Heng Chiou; Nicole K Paulk; Christopher D McFarland; Pranav V Lalgudi; Rosanna K Ma; Leszek Lisowski; Andrew J Connolly; Dmitri A Petrov; Mark A Kay; Monte M Winslow
Journal:  Nat Commun       Date:  2017-12-12       Impact factor: 14.919

10.  Accounting for tumor heterogeneity when using CRISPR-Cas9 for cancer progression and drug sensitivity studies.

Authors:  Jessica F Olive; Yuanbo Qin; Molly J DeCristo; Tyler Laszewski; Frances Greathouse; Sandra S McAllister
Journal:  PLoS One       Date:  2018-06-13       Impact factor: 3.240

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