Protein Synthesis Driven by Dynamical Stochastic Transcription

Autor(es)

Innocentini, Guilherme C. P. ^{[1, 2]} ; Forger, Michael ^[1] ; Radulescu, Ovidiu ^[2] ; Antoneli, Fernando ^{[3, 4]}

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Matemat & Estat, Dept Matemat Aplicada, Rua Matao 1010, Cidade Univ, BR-05508090 Sao Paulo, SP - Brazil

^[2] Univ Montpellier 2, UMR 5235, DIMNP, Pl E Bataillon, Bat 24, F-34095 Montpellier 5 - France

^[3] Univ Fed Sao Paulo, Escola Paulista Med, Lab Genom Evolut & Biocomplexidade, Rua Pedro de Toledo 669, 4th Floor, BR-04039032 Sao Paulo, SP - Brazil

^[4] Univ Fed Sao Paulo, Escola Paulista Med, DIS, Rua Pedro de Toledo 669, 4th Floor, BR-04039032 Sao Paulo, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Bulletin of Mathematical Biology; v. 78, n. 1, p. 110-131, JAN 2016.
• Citações Web of Science: 4

Resumo

In this manuscript, we propose a mathematical framework to couple transcription and translation in which mRNA production is described by a set of master equations, while the dynamics of protein density is governed by a random differential equation. The coupling between the two processes is given by a stochastic perturbation whose statistics satisfies the master equations. In this approach, from the knowledge of the analytical time-dependent distribution of mRNA number, we are able to calculate the dynamics of the probability density of the protein population. (AU)

• Processo FAPESP: 12/04723-4 - Análise do ruído transcricional na síntese proteica: Multimodalidade, autorregulação e regulação externa
• Beneficiário: Guilherme da Costa Pereira Innocentini
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado