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Extrinsic stochastic factors (solute partition) in gene expression inside lipid vesicles and lipid-stabilized water-in-oil droplets: a review.
Altamura, Emiliano; Carrara, Paolo; D'Angelo, Francesca; Mavelli, Fabio; Stano, Pasquale.
Afiliación
  • Altamura E; Chemistry Department, University of Bari, Via E. Orabona 4, I-70126, Bari, Italy.
  • Carrara P; Department of Sciences, Roma Tre University, Viale G. Marconi 446, I-00146, Rome, Italy.
  • D'Angelo F; Department of Sciences, Roma Tre University, Viale G. Marconi 446, I-00146, Rome, Italy.
  • Mavelli F; Chemistry Department, University of Bari, Via E. Orabona 4, I-70126, Bari, Italy.
  • Stano P; Department of Biological and Environmental Sciences and Technologies (DiSTeBA), University of Salento, Ecotekne, I-73100, Lecce, Italy.
Synth Biol (Oxf) ; 3(1): ysy011, 2018.
Article en En | MEDLINE | ID: mdl-32995519
ABSTRACT
The encapsulation of transcription-translation (TX-TL) machinery inside lipid vesicles and water-in-oil droplets leads to the construction of cytomimetic systems (often called 'synthetic cells') for synthetic biology and origins-of-life research. A number of recent reports have shown that protein synthesis inside these microcompartments is highly diverse in terms of rate and amount of synthesized protein. Here, we discuss the role of extrinsic stochastic effects (i.e. solute partition phenomena) as relevant factors contributing to this pattern. We evidence and discuss cases where between-compartment diversity seems to exceed the expected theoretical values. The need of accurate determination of solute content inside individual vesicles or droplets is emphasized, aiming at validating or rejecting the predictions calculated from the standard fluctuations theory. At the same time, we promote the integration of experiments and stochastic modeling to reveal the details of solute encapsulation and intra-compartment reactions.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Synth Biol (Oxf) Año: 2018 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Synth Biol (Oxf) Año: 2018 Tipo del documento: Article País de afiliación: Italia