T
Thomas E. Gorochowski
Researcher at University of Bristol
Publications - 75
Citations - 2087
Thomas E. Gorochowski is an academic researcher from University of Bristol. The author has contributed to research in topics: Synthetic biology & Computer science. The author has an hindex of 22, co-authored 62 publications receiving 1515 citations. Previous affiliations of Thomas E. Gorochowski include Massachusetts Institute of Technology & Broad Institute.
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Burden-driven feedback control of gene expression
Francesca Ceroni,Alice Boo,Simone Furini,Thomas E. Gorochowski,Olivier Borkowski,Yaseen N. Ladak,Ali R. Awan,Charlie Gilbert,Guy-Bart Stan,Tom Ellis +9 more
TL;DR: This work combined RNA-seq with an in vivo assay to identify the major transcriptional changes that occur in Escherichia coli when inducible synthetic constructs are expressed and built a dCas9-based feedback-regulation system that automatically adjusts the expression of a synthetic construct in response to burden.
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Synchronization and control of complex networks via contraction, adaptation and evolution
TL;DR: A mathematical model usually considered in the literature to describe a complex network which uses appropriate equations to describe the node dynamics, the coupling protocol and the network topology is proposed.
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Trade-offs between tRNA abundance and mRNA secondary structure support smoothing of translation elongation rate
TL;DR: The trade-off between secondary structure and tRNA-concentration based codon choice allows for compensation of their independent effects on translation, helping to smooth overall translational speed and reducing the chance of potentially detrimental points of excessively slow or fast ribosome movement.
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BSim: An Agent-Based Tool for Modeling Bacterial Populations in Systems and Synthetic Biology
Thomas E. Gorochowski,Antoni Matyjaszkiewicz,Thomas Todd,Neeraj Oak,Kira Kowalska,Stephen Reid,Krasimira Tsaneva-Atanasova,Nigel J. Savery,Claire S. Grierson,Mario di Bernardo +9 more
TL;DR: BSim, a highly flexible agent-based computational tool for analyzing the relationships between single-cell dynamics and population level features, is introduced, enabling the modeling of bacterial behavior in more realistic three-dimensional, complex environments.
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A minimal model of ribosome allocation dynamics captures trade-offs in expression between endogenous and synthetic genes
Thomas E. Gorochowski,Irem Avcilar-Kucukgoze,Roel A. L. Bovenberg,Johannes Andries Roubos,Zoya Ignatova,Zoya Ignatova +5 more
TL;DR: A minimal model of ribosome allocation dynamics capturing the demands on translation when expressing a synthetic construct together with endogenous genes required for the maintenance of cell physiology is developed.