Literature DB >> 16869781

Dissecting cancer pathways and vulnerabilities with RNAi.

T F Westbrook1, F Stegmeier, S J Elledge.   

Abstract

The latest generation of molecular-targeted cancer therapeutics has bolstered the notion that a better understanding of the networks governing cancer pathogenesis can be translated into substantial clinical benefits. However, functional annotation exists for only a small proportion of genes in the human genome, raising the likelihood that many cancer-relevant genes and potential drug targets await identification. Unbiased genetic screens in invertebrate organisms have provided substantial insights into signaling networks underlying many cellular and organismal processes. However, such approaches in mammalian cells have been limited by the lack of genetic tools. The emergence of RNA interference (RNAi) as a mechanism to suppress gene expression has revolutionized genetics in mammalian cells and has begun to facilitate decoding of gene functions on a genome scale. Here, we discuss the application of such RNAi-based genetic approaches to elucidating cancer-signaling networks and uncovering cancer vulnerabilities.

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Year:  2005        PMID: 16869781     DOI: 10.1101/sqb.2005.70.031

Source DB:  PubMed          Journal:  Cold Spring Harb Symp Quant Biol        ISSN: 0091-7451


  14 in total

1.  WT1: a weak spot in KRAS-induced transformation.

Authors:  Silvia Licciulli; Joseph L Kissil
Journal:  J Clin Invest       Date:  2010-10-25       Impact factor: 14.808

Review 2.  RNAi screening: new approaches, understandings, and organisms.

Authors:  Stephanie E Mohr; Norbert Perrimon
Journal:  Wiley Interdiscip Rev RNA       Date:  2011-09-22       Impact factor: 9.957

3.  Kinase requirements in human cells: II. Genetic interaction screens identify kinase requirements following HPV16 E7 expression in cancer cells.

Authors:  Amy Baldwin; Wenliang Li; Miranda Grace; Joseph Pearlberg; Ed Harlow; Karl Münger; Dorre A Grueneberg
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-23       Impact factor: 11.205

4.  DNA repair gene variants in relation to overall cancer risk: a population-based study.

Authors:  Anthony J Alberg; Timothy J Jorgensen; Ingo Ruczinski; Lee Wheless; Yin Yao Shugart; Yvette Berthier-Schaad; Bailey Kessing; Judith Hoffman-Bolton; Kathy J Helzlsouer; W H Linda Kao; Lesley Francis; Rhoda M Alani; Michael W Smith; Paul T Strickland
Journal:  Carcinogenesis       Date:  2012-10-01       Impact factor: 4.944

Review 5.  Genetically engineered mouse models in cancer research.

Authors:  Jessica C Walrath; Jessica J Hawes; Terry Van Dyke; Karlyne M Reilly
Journal:  Adv Cancer Res       Date:  2010       Impact factor: 6.242

6.  Therapeutic targeting of PGBD5-induced DNA repair dependency in pediatric solid tumors.

Authors:  Anton G Henssen; Casie Reed; Eileen Jiang; Heathcliff Dorado Garcia; Jennifer von Stebut; Ian C MacArthur; Patrick Hundsdoerfer; Jun Hyun Kim; Elisa de Stanchina; Yasumichi Kuwahara; Hajime Hosoi; Neil J Ganem; Filemon Dela Cruz; Andrew L Kung; Johannes H Schulte; John H Petrini; Alex Kentsis
Journal:  Sci Transl Med       Date:  2017-11-01       Impact factor: 17.956

7.  Large-Scale RNA Interference Screening to Identify Transcriptional Regulators of a Tumor Suppressor Gene.

Authors:  Matteo Forloni; Thuy Ho; Lisha Sun; Narendra Wajapeyee
Journal:  Methods Mol Biol       Date:  2017

8.  Transcriptional Analysis-Based Integrative Genomics Approach to Identify Tumor-Promoting Metabolic Genes.

Authors:  Romi Gupta; Narendra Wajapeyee
Journal:  Methods Mol Biol       Date:  2017

9.  MAPK7 Regulates EMT Features and Modulates the Generation of CTCs.

Authors:  Sarah Javaid; Jianmin Zhang; Gromoslaw A Smolen; Min Yu; Ben S Wittner; Anurag Singh; Kshitij S Arora; Marissa W Madden; Rushil Desai; Matthew J Zubrowski; Benjamin J Schott; David T Ting; Shannon L Stott; Mehmet Toner; Shyamala Maheswaran; Toshi Shioda; Sridhar Ramaswamy; Daniel A Haber
Journal:  Mol Cancer Res       Date:  2015-02-12       Impact factor: 5.852

Review 10.  Loss-of-function genetic tools for animal models: cross-species and cross-platform differences.

Authors:  Benjamin E Housden; Matthias Muhar; Matthew Gemberling; Charles A Gersbach; Didier Y R Stainier; Geraldine Seydoux; Stephanie E Mohr; Johannes Zuber; Norbert Perrimon
Journal:  Nat Rev Genet       Date:  2016-10-31       Impact factor: 53.242

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