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Analytical Platforms 1: Use of Cultured Cells and Fluorescent Read-Out Coupled to NormaCurve Normalization in RPPA.
Ouine, Bérengère; Rajkumar, Sabine; Hupé, Philippe; de Koning, Leanne.
Afiliação
  • Ouine B; Institut Curie Centre de Recherche, PSL Research University, Paris, France.
  • Rajkumar S; Institut Curie Centre de Recherche, PSL Research University, Paris, France.
  • Hupé P; Institut Curie Centre de Recherche, PSL Research University, Inserm, U900, Mines Paris Tech, CNRS, UMR144, Paris, France.
  • de Koning L; Institut Curie Centre de Recherche, PSL Research University, Paris, France. Leanne.de-Koning@curie.fr.
Adv Exp Med Biol ; 1188: 77-93, 2019.
Article em En | MEDLINE | ID: mdl-31820384
ABSTRACT
The analytic platform described in this chapter uses proteins extracted from cultured cells as an infinite source of material to set up, validate, and quality control an RPPA platform. Readout of the arrays uses near-infrared fluorescence labeling and data normalization is performed using the bioinformatics package NormaCurve.In the first part, we will describe the advantages, drawbacks, and different applications of cell line material for RPPA. In the second part, we will describe how the staining protocol, the method of readout, and the normalization method applied afterward are interconnected and should be considered together. Finally, we will describe the NormaCurve package, which is freely available, and its requirements for implementation.Four protocols are provided in this chapter (1) Protein lysis of cell lines using a homemade Laemmli buffer, (2) RPPA staining for fluorescent readout including a signal amplification step, (3) total protein staining in the visible spectrum for normalization purposes, and (4) total protein staining in the near-infrared spectrum for normalization purposes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Análise Serial de Proteínas Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas / Análise Serial de Proteínas Idioma: En Ano de publicação: 2019 Tipo de documento: Article