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Dissecting Oligomeric States with Photoactivated Localization Microscopy: A Numerical Model.
Daniels, Brian; Wunder, Christian; Chen, Vanessa; Renz, Malte.
Afiliación
  • Daniels B; Broad Institute, Cambridge, Massachusetts, USA.
  • Wunder C; Institut Curie, PSL Research University, Cellular and Chemical Biology Unit, INSERM U 1143, CNRS UMR 3666, Paris Cedex 05, France.
  • Chen V; Division of Gynecologic Oncology, Stanford University School of Medicine, Stanford, California, USA.
  • Renz M; Division of Gynecologic Oncology, Stanford University School of Medicine, Stanford, California, USA.
Cytometry A ; 97(11): 1156-1164, 2020 11.
Article en En | MEDLINE | ID: mdl-32558006
ABSTRACT
Although photoactivated localization microscopy offers the potential to interrogate protein interactions in the physiological environment of a cell, uncertainties in the detection efficiency of photoactivatable proteins lead to complications with data interpretation. Here, we present a numerical model that provides probabilities to detect neighboring molecules dependent on their oligomerization status, density, detection efficiency, and radius, and can be used to assess oligomeric states or detection efficiencies of two molecular species. © 2020 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas / Microscopía Idioma: En Revista: Cytometry A Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas / Microscopía Idioma: En Revista: Cytometry A Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos