Protocol for intervention-free quantification of protein turnover rate by steady-state modeling
Authors: Marcotti, S., Sánchez-Sánchez, B.J., Serna-Morales, E., Dragu, A., Díaz-de-la-Loza, M.D.C., Matsubayashi, Y. and Stramer, B.M.
Journal: STAR Protocols
Volume: 2
Issue: 1
eISSN: 2666-1667
DOI: 10.1016/j.xpro.2021.100377
Abstract: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.
https://eprints.bournemouth.ac.uk/38484/
Source: Scopus
Protocol for intervention-free quantification of protein turnover rate by steady-state modeling.
Authors: Marcotti, S., Sánchez-Sánchez, B.J., Serna-Morales, E., Dragu, A., Díaz-de-la-Loza, M.-D.-C., Matsubayashi, Y. and Stramer, B.M.
Journal: STAR Protoc
Volume: 2
Issue: 1
Pages: 100377
eISSN: 2666-1667
DOI: 10.1016/j.xpro.2021.100377
Abstract: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).
https://eprints.bournemouth.ac.uk/38484/
Source: PubMed
Protocol Protocol for intervention-free quantification of protein turnover rate by steady-state modeling
Authors: Marcotti, S., Sanchez-Sanchez, B.J., Serna-Morales, E., Dragu, A., Diaz-de-la-Loza, M.-D.-C., Matsubayashi, Y. and Stramer, B.M.
Journal: STAR PROTOCOLS
Volume: 2
Issue: 1
ISSN: 2666-1667
DOI: 10.1016/j.xpro.2021.100377
https://eprints.bournemouth.ac.uk/38484/
Source: Web of Science (Lite)
Protocol for intervention-free quantification of protein turnover rate by steady-state modeling.
Authors: Marcotti, S., Sánchez-Sánchez, B.J., Serna-Morales, E., Dragu, A., Díaz-de-la-Loza, M.-D.-C., Matsubayashi, Y. and Stramer, B.M.
Journal: STAR protocols
Volume: 2
Issue: 1
Pages: 100377
eISSN: 2666-1667
ISSN: 2666-1667
DOI: 10.1016/j.xpro.2021.100377
Abstract: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).
https://eprints.bournemouth.ac.uk/38484/
Source: Europe PubMed Central
Protocol for intervention-free quantification of protein turnover rate by steady-state modeling
Authors: Marcotti, S., Sánchez-Sánchez, B.J., Serna-Morales, E., Dragu, A., Díaz-de-la-Loza, M.-D.-C., Matsubayashi, Y. and Stramer, B.M.
Journal: STAR Protocols
Volume: 2
ISSN: 2666-1667
Abstract: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.
https://eprints.bournemouth.ac.uk/38484/
Source: BURO EPrints