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Protocol for intervention-free quantification of protein turnover rate by steady-state modeling
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 d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988239/ https://www.ncbi.nlm.nih.gov/pubmed/33786460 http://dx.doi.org/10.1016/j.xpro.2021.100377 |
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author | Marcotti, Stefania Sánchez-Sánchez, Besaiz Jose Serna-Morales, Eduardo Dragu, Anca Díaz-de-la-Loza, María-del-Carmen Matsubayashi, Yutaka Stramer, Brian Marc |
author_facet | Marcotti, Stefania Sánchez-Sánchez, Besaiz Jose Serna-Morales, Eduardo Dragu, Anca Díaz-de-la-Loza, María-del-Carmen Matsubayashi, Yutaka Stramer, Brian Marc |
author_sort | Marcotti, Stefania |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-7988239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-79882392021-03-29 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 STAR Protoc Protocol 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). Elsevier 2021-03-18 /pmc/articles/PMC7988239/ /pubmed/33786460 http://dx.doi.org/10.1016/j.xpro.2021.100377 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Protocol Marcotti, Stefania Sánchez-Sánchez, Besaiz Jose Serna-Morales, Eduardo Dragu, Anca Díaz-de-la-Loza, María-del-Carmen Matsubayashi, Yutaka Stramer, Brian Marc Protocol for intervention-free quantification of protein turnover rate by steady-state modeling |
title | Protocol for intervention-free quantification of protein turnover rate by steady-state modeling |
title_full | Protocol for intervention-free quantification of protein turnover rate by steady-state modeling |
title_fullStr | Protocol for intervention-free quantification of protein turnover rate by steady-state modeling |
title_full_unstemmed | Protocol for intervention-free quantification of protein turnover rate by steady-state modeling |
title_short | Protocol for intervention-free quantification of protein turnover rate by steady-state modeling |
title_sort | protocol for intervention-free quantification of protein turnover rate by steady-state modeling |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988239/ https://www.ncbi.nlm.nih.gov/pubmed/33786460 http://dx.doi.org/10.1016/j.xpro.2021.100377 |
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