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Quantifying Intercellular Movement and Protein Stoichiometry for Computational Modeling.
Van den Broeck, Lisa; Gobble, Mariah; Sozzani, Rosangela.
Afiliação
  • Van den Broeck L; Plant and Microbial Biology Department, North Carolina State University, Raleigh, NC, USA.
  • Gobble M; Plant and Microbial Biology Department, North Carolina State University, Raleigh, NC, USA.
  • Sozzani R; Plant and Microbial Biology Department, North Carolina State University, Raleigh, NC, USA. rsozzan@ncsu.edu.
Methods Mol Biol ; 2457: 367-382, 2022.
Article em En | MEDLINE | ID: mdl-35349154
ABSTRACT
Analyzing protein movement dynamics and their regulation has shown to be important in the study of cell fate decisions. Such analyses can be performed with scanning fluorescence correlation spectroscopy (scanning FCS), a versatile imaging methodology that has been applied in the animal kingdom and recently adapted to the plant kingdom. Specifically, scanning FCS allows for qualitatively capturing protein movement across barriers, such as the active transport through plasmodesmata, the analysis of protein movement rates, and the quantification of the stoichiometry of protein complexes, composed of one or more different proteins. Importantly, the quantifiable data generated with scanning FCS can be used to inform computational models, enhancing model simulations of in vivo events, such as cell fate decisions, during plant development.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plasmodesmos / Movimento Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plasmodesmos / Movimento Idioma: En Ano de publicação: 2022 Tipo de documento: Article