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