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Protocol for intervention-free quantification of protein turnover rate by steady-state modeling.
Marcotti, Stefania; Sánchez-Sánchez, Besaiz Jose; Serna-Morales, Eduardo; Dragu, Anca; Díaz-de-la-Loza, María-Del-Carmen; Matsubayashi, Yutaka; Stramer, Brian Marc.
Afiliação
  • Marcotti S; Randall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
  • Sánchez-Sánchez BJ; Randall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
  • Serna-Morales E; Randall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
  • Dragu A; Randall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
  • Díaz-de-la-Loza MD; Randall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
  • Matsubayashi Y; Randall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
  • Stramer BM; Randall Centre for Cell and Molecular Biophysics, King's College London, London SE1 1UL, UK.
STAR Protoc ; 2(1): 100377, 2021 03 19.
Article em En | MEDLINE | ID: mdl-33786460
Protein turnover rate is difficult to obtain experimentally. This protocol shows how to mathematically model turnover rates in an intervention-free manner given the ability to quantify mRNA and protein expression from initiation to homeostasis. This approach can be used to calculate production and degradation rates and to infer protein half-life. This model was successfully employed to quantify turnover during Drosophila embryogenesis, and we hypothesize that it will be applicable to diverse in vivo or in vitro systems. For complete details on the use and execution of this protocol, please refer to Matsubayashi et al. (2020).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Mensageiro / Biologia Computacional / Proteólise Limite: Animals Idioma: En Revista: STAR Protoc Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Mensageiro / Biologia Computacional / Proteólise Limite: Animals Idioma: En Revista: STAR Protoc Ano de publicação: 2021 Tipo de documento: Article