In Vivo Genome-Wide Pooled RNAi Screens in Cancer Cells to Identify Determinants of Chemotherapy/Drug Response

Margaret L. Dahn, Paola Marcato

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Large-scale RNAi screens (i.e., genome-wide arrays and pools) can reveal the essential biological functions of previously uncharacterized genes. Due to the nature of the selection process involved in screens, RNAi screens are also very useful for identifying genes involved in drug responses. The information gained from these screens could be used to predict a cancer patient’s response to a specific drug (i.e., precision medicine) or identify anti-cancer drug resistance genes, which could be targeted to improve treatment outcomes. In this capacity, screens have been most often performed in vitro. However, there is limitation to performing these screens in vitro: genes which are required in only an in vivo setting (e.g., rely on the tumor microenvironment for function) will not be identified. As such, it can be desirable to perform RNAi screens in vivo. Here we outline the additional technical details that should be considered for performing genome-wide RNAi drug screens of cancer cells under in vivo conditions (i.e., tumor xenografts).

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages189-200
Number of pages12
DOIs
Publication statusPublished - 2021

Publication series

NameMethods in Molecular Biology
Volume2381
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Bibliographical note

Funding Information:
P.M. is funded by a grant support from the Canadian Institutes of Health Research (CIHR, PJT 162313). M.L.D. was supported by Nova Scotia Research and Innovation Graduate and Killam Laureate scholarships. M.L.D. was also supported by CGS-D award from the CIHR.

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

ASJC Scopus Subject Areas

  • Molecular Biology
  • Genetics

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't

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