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A rationally engineered decoder of transient intracellular signals.
Lormeau, Claude; Rudolf, Fabian; Stelling, Jörg.
Afiliação
  • Lormeau C; Department of Biosystems Science and Engineering and SIB Swiss Institute of Bioinformatics, ETH Zurich, Mattenstrasse 26, CH 4058, Basel, Switzerland.
  • Rudolf F; Life Science Zurich Graduate School, Interdisciplinary PhD Program Systems Biology, Zurich, Switzerland.
  • Stelling J; Department of Biosystems Science and Engineering and SIB Swiss Institute of Bioinformatics, ETH Zurich, Mattenstrasse 26, CH 4058, Basel, Switzerland.
Nat Commun ; 12(1): 1886, 2021 03 25.
Article em En | MEDLINE | ID: mdl-33767179
ABSTRACT
Cells can encode information about their environment by modulating signaling dynamics and responding accordingly. Yet, the mechanisms cells use to decode these dynamics remain unknown when cells respond exclusively to transient signals. Here, we approach design principles underlying such decoding by rationally engineering a synthetic short-pulse decoder in budding yeast. A computational method for rapid prototyping, TopoDesign, allowed us to explore 4122 possible circuit architectures, design targeted experiments, and then rationally select a single circuit for implementation. This circuit demonstrates short-pulse decoding through incoherent feedforward and positive feedback. We predict incoherent feedforward to be essential for decoding transient signals, thereby complementing proposed design principles of temporal filtering, the ability to respond to sustained signals, but not to transient signals. More generally, we anticipate TopoDesign to help designing other synthetic circuits with non-intuitive dynamics, simply by assembling available biological components.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Biologia Computacional / Biologia Sintética Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Biologia Computacional / Biologia Sintética Idioma: En Ano de publicação: 2021 Tipo de documento: Article