High-Throughput Identification, Modeling, and Analysis of Cancer Driver Genes In Vivo

被引：2
|
作者：
Tang, Yuning J. J. [1 ]
Shuldiner, Emily G. G. [2 ]
Karmakar, Saswati [1 ]
Winslow, Monte M. M. [1 ,3 ]
机构：
[1] Stanford Univ, Sch Med, Dept Genet, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Biol, Stanford, CA 94305 USA
[3] Stanford Univ, Sch Med, Dept Pathol, Stanford, CA 94305 USA
来源：
COLD SPRING HARBOR PERSPECTIVES IN MEDICINE | 2023年 / 13卷 / 07期
基金：
美国国家卫生研究院;
关键词：
INSERTIONAL MUTAGENESIS; TRANSPOSON MUTAGENESIS; FUNCTIONAL GENOMICS; TUMOR SUPPRESSORS; MYELOID-LEUKEMIA; TRANSGENIC MICE; MOUSE MODELS; CRISPR; RNA; ACTIVATION;
D O I：
10.1101/cshperspect.a041382
中图分类号：
R-3 [医学研究方法]; R3 [基础医学];
学科分类号：
1001 ;
摘要：
The vast number of genomic and molecular alterations in cancer pose a substantial challenge to uncovering the mechanisms of tumorigenesis and identifying therapeutic targets. High-throughput functional genomic methods in genetically engineered mouse models allow for rapid and systematic investigation of cancer driver genes. In this review, we discuss the basic concepts and tools for multiplexed investigation of functionally important cancer genes in vivo using autochthonous cancer models. Furthermore, we highlight emerging technical advances in the field, potential opportunities for future investigation, and outline a vision for integrating multiplexed genetic perturbations with detailed molecular analyses to advance our understanding of the genetic and molecular basis of cancer.
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收藏
页数：27
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