A large-scale RNAi screen in human cells identifies new components of the p53 pathway
Katrien Berns,
E. Marielle Hijmans,
Jasper Mullenders,
Thijn R. Brummelkamp,
Arno Velds,
Mike Heimerikx,
Ron M. Kerkhoven,
Mandy Madiredjo,
Wouter Nijkamp,
Britta Weigelt,
Reuven Agami,
Wei Ge,
Guy Cavet,
Peter S. Linsley,
Roderick L. Beijersbergen () and
René Bernards ()
Additional contact information
Katrien Berns: The Netherlands Cancer Institute
E. Marielle Hijmans: The Netherlands Cancer Institute
Jasper Mullenders: The Netherlands Cancer Institute
Thijn R. Brummelkamp: The Netherlands Cancer Institute
Arno Velds: The Netherlands Cancer Institute
Mike Heimerikx: The Netherlands Cancer Institute
Ron M. Kerkhoven: The Netherlands Cancer Institute
Mandy Madiredjo: The Netherlands Cancer Institute
Wouter Nijkamp: The Netherlands Cancer Institute
Britta Weigelt: The Netherlands Cancer Institute
Reuven Agami: The Netherlands Cancer Institute
Wei Ge: Rosetta Inpharmatics, Inc.
Guy Cavet: Rosetta Inpharmatics, Inc.
Peter S. Linsley: Rosetta Inpharmatics, Inc.
Roderick L. Beijersbergen: The Netherlands Cancer Institute
René Bernards: The Netherlands Cancer Institute
Nature, 2004, vol. 428, issue 6981, 431-437
Abstract:
Abstract RNA interference (RNAi) is a powerful new tool with which to perform loss-of-function genetic screens in lower organisms and can greatly facilitate the identification of components of cellular signalling pathways1,2,3. In mammalian cells, such screens have been hampered by a lack of suitable tools that can be used on a large scale. We and others have recently developed expression vectors to direct the synthesis of short hairpin RNAs (shRNAs) that act as short interfering RNA (siRNA)-like molecules to stably suppress gene expression4,5. Here we report the construction of a set of retroviral vectors encoding 23,742 distinct shRNAs, which target 7,914 different human genes for suppression. We use this RNAi library in human cells to identify one known and five new modulators of p53-dependent proliferation arrest. Suppression of these genes confers resistance to both p53-dependent and p19ARF-dependent proliferation arrest, and abolishes a DNA-damage-induced G1 cell-cycle arrest. Furthermore, we describe siRNA bar-code screens to rapidly identify individual siRNA vectors associated with a specific phenotype. These new tools will greatly facilitate large-scale loss-of-function genetic screens in mammalian cells.
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:428:y:2004:i:6981:d:10.1038_nature02371
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DOI: 10.1038/nature02371
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