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Microscopy-Based High-Content Screening.
Boutros, Michael; Heigwer, Florian; Laufer, Christina.
Afiliación
  • Boutros M; Division Signaling and Functional Genomics, German Cancer Research Center (DKFZ) and Department of Cell and Molecular Biology, Heidelberg University, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany; German Cancer Consortium (DKTK), 69120 Heidelberg, Germany. Electronic address: m.boutros@dkfz.de.
  • Heigwer F; Division Signaling and Functional Genomics, German Cancer Research Center (DKFZ) and Department of Cell and Molecular Biology, Heidelberg University, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany.
  • Laufer C; Division Signaling and Functional Genomics, German Cancer Research Center (DKFZ) and Department of Cell and Molecular Biology, Heidelberg University, Im Neuenheimer Feld 580, 69120 Heidelberg, Germany.
Cell ; 163(6): 1314-25, 2015 Dec 03.
Article en En | MEDLINE | ID: mdl-26638068
ABSTRACT
Image-based screening is used to measure a variety of phenotypes in cells and whole organisms. Combined with perturbations such as RNA interference, small molecules, and mutations, such screens are a powerful method for gaining systematic insights into biological processes. Screens have been applied to study diverse processes, such as protein-localization changes, cancer cell vulnerabilities, and complex organismal phenotypes. Recently, advances in imaging and image-analysis methodologies have accelerated large-scale perturbation screens. Here, we describe the state of the art for image-based screening experiments and delineate experimental approaches and image-analysis approaches as well as discussing challenges and future directions, including leveraging CRISPR/Cas9-mediated genome engineering.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Células Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Revista: Cell Año: 2015 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Células Tipo de estudio: Diagnostic_studies / Screening_studies Idioma: En Revista: Cell Año: 2015 Tipo del documento: Article