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Stochastic ordering of complexoform protein assembly by genetic circuits
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4611320
Author(s) Jensen, Mikkel Herholdt; Morris, Eliza J.; Hai , Tran; Nash, Michael A.; Tan, Cheemeng
Author(s) at UniBasel Nash, Michael
Year 2020
Title Stochastic ordering of complexoform protein assembly by genetic circuits
Journal PLoS Computational Biology
Volume 16
Number 6
Pages / Article-Number e1007997
Mesh terms Science & TechnologyLife Sciences & BiomedicineBiochemical Research MethodsMathematical & Computational BiologyBiochemistry & Molecular BiologyMathematical & Computational Biology
Abstract Top-down proteomics has enabled the elucidation of heterogeneous protein complexes with different cofactors, post-translational modifications, and protein membership. This heterogeneity is believed to play a previously unknown role in cellular processes. The different molecular forms of a protein complex have come to be called "complex isoform" or "complexoform". Despite the elucidation of the complexoform, it remains unclear how and whether cellular circuits control the distribution of a complexoform. To help address this issue, we first simulate a generic three-protein complexoform to reveal the control of its distribution by the timing of gene transcription, mRNA translation, and protein transport. Overall, we ran 265 computational experiments: each averaged over 1,000 stochastic simulations. Based on the experiments, we show that genes arranged in a single operon, a cascade, or as two operons all give rise to the different protein composition of complexoform because of timing differences in protein-synthesis order. We also show that changes in the kinetics of expression, protein transport, or protein binding dramatically alter the distribution of the complexoform. Furthermore, both stochastic and transient kinetics control the assembly of the complexoform when the expression and assembly occur concurrently. We test our model against the biological cellulosome system. With biologically relevant rates, we find that the genetic circuitry controls the average final complexoform assembly and the variation in the assembly structure. Our results highlight the importance of both the genetic circuit architecture and kinetics in determining the distribution of a complexoform. Our work has a broad impact on our understanding of non-equilibrium processes in both living and synthetic biological systems.
Publisher Library of Science
ISSN/ISBN 1553-734X ; 1553-7358
edoc-URL https://edoc.unibas.ch/80294/
Full Text on edoc Available
Digital Object Identifier DOI 10.1371/journal.pcbi.1007997
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/32598355
ISI-Number 000558077600057
Document type (ISI) Journal Article
 
   

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