Microscopy-based high-content screening

• Verfasst von: Boutros, Michael [VerfasserIn]
• Verfasst von: Heigwer, Florian [VerfasserIn]
• Verfasst von: Laufer, Christina [VerfasserIn]
• Titel: Microscopy-based high-content screening
• Verf.angabe: Michael Boutros, Florian Heigwer, and Christina Laufer
• E-Jahr: 2015
• Jahr: December 3, 2015
• Umfang: 12 S.
• Fussnoten: Gesehen am 06.12.2018
• Titel Quelle: Enthalten in: Cell
• Ort Quelle: [Cambridge, Mass.] : Cell Press, 1974
• Jahr Quelle: 2015
• Band/Heft Quelle: 163(2015), 6, Seite 1314-1325
• ISSN Quelle: 1097-4172
• DOI: doi:10.1016/j.cell.2015.11.007
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1584900091

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.