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Systematic Gene-to-Phenotype Arrays: A High-Throughput Technique for Molecular Phenotyping.
Jaeger, Philipp A; Ornelas, Lilia; McElfresh, Cameron; Wong, Lily R; Hampton, Randolph Y; Ideker, Trey.
Afiliação
  • Jaeger PA; Biocipher(x), Inc., San Diego, CA 92121, USA; Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: pjaeger@biocrx.com.
  • Ornelas L; Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
  • McElfresh C; Department of Nanoengineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Wong LR; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
  • Hampton RY; Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: rhampton@ucsd.edu.
  • Ideker T; Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: tideker@ucsd.edu.
Mol Cell ; 69(2): 321-333.e3, 2018 01 18.
Article em En | MEDLINE | ID: mdl-29351850
ABSTRACT
We have developed a highly parallel strategy, systematic gene-to-phenotype arrays (SGPAs), to comprehensively map the genetic landscape driving molecular phenotypes of interest. By this approach, a complete yeast genetic mutant array is crossed with fluorescent reporters and imaged on membranes at high density and contrast. Importantly, SGPA enables quantification of phenotypes that are not readily detectable in ordinary genetic analysis of cell fitness. We benchmark SGPA by examining two fundamental biological phenotypes first, we explore glucose repression, in which SGPA identifies a requirement for the Mediator complex and a role for the CDK8/kinase module in regulating transcription. Second, we examine selective protein quality control, in which SGPA identifies most known quality control factors along with U34 tRNA modification, which acts independently of proteasomal degradation to limit misfolded protein production. Integration of SGPA with other fluorescent readouts will enable genetic dissection of a wide range of biological pathways and conditions.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ensaios de Triagem em Larga Escala / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ensaios de Triagem em Larga Escala / Sequenciamento de Nucleotídeos em Larga Escala Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article