Systems biology meets synthetic biology: a case study of the metabolic effects of synthetic rewiring

2009 ◽  
Vol 5 (10) ◽  
pp. 1214 ◽  
Author(s):  
Josselin Noirel ◽  
Saw Yen Ow ◽  
Guido Sanguinetti ◽  
Phillip C. Wright
Keyword(s):  
Systems Biology ◽  
Synthetic Biology ◽  
Metabolic Effects

Systems Biology and translational oncology: a case study of predictive modeling in molecular biology of the lung cancer

2010 ◽  
Vol 150 ◽  
pp. 542-543
Author(s):  
Fortunato Bianconi ◽  
Mauro Boccadoro ◽  
Vienna Ludovini ◽  
Paolo Valigi
Keyword(s):  
Lung Cancer ◽  
Systems Biology ◽  
Molecular Biology ◽  
Predictive Modeling ◽  
Translational Oncology

Systems biology of persistent infection: tuberculosis as a case study

2008 ◽  
Vol 6 (7) ◽  
pp. 520-528 ◽  
Author(s):  
Douglas Young ◽  
Jaroslav Stark ◽  
Denise Kirschner
Keyword(s):  
Systems Biology ◽  
Persistent Infection

scholarly journals A standard-enabled workflow for synthetic biology

2017 ◽  
Vol 45 (3) ◽  
pp. 793-803 ◽  
Author(s):  
Chris J. Myers ◽  
Jacob Beal ◽  
Thomas E. Gorochowski ◽  
Hiroyuki Kuwahara ◽  
Curtis Madsen ◽  
...  
Keyword(s):  
Systems Biology ◽  
Synthetic Biology ◽  
Markup Language ◽  
Design Tools ◽  
Data Standards ◽  
Data Repositories ◽  
Simulation Tools ◽  
Systems Biology Markup Language ◽  
Visualization Tools ◽  
Synthetic Biology Open Language

A synthetic biology workflow is composed of data repositories that provide information about genetic parts, sequence-level design tools to compose these parts into circuits, visualization tools to depict these designs, genetic design tools to select parts to create systems, and modeling and simulation tools to evaluate alternative design choices. Data standards enable the ready exchange of information within such a workflow, allowing repositories and tools to be connected from a diversity of sources. The present paper describes one such workflow that utilizes, among others, the Synthetic Biology Open Language (SBOL) to describe genetic designs, the Systems Biology Markup Language to model these designs, and SBOL Visual to visualize these designs. We describe how a standard-enabled workflow can be used to produce types of design information, including multiple repositories and software tools exchanging information using a variety of data standards. Recently, the ACS Synthetic Biology journal has recommended the use of SBOL in their publications.

scholarly journals Development of oriC-Based Plasmids for Mesoplasma florum

2017 ◽  
Vol 83 (7) ◽  
Author(s):  
Dominick Matteau ◽  
Marie-Eve Pepin ◽  
Vincent Baby ◽  
Samuel Gauthier ◽  
Mélissa Arango Giraldo ◽  
...  
Keyword(s):  
Systems Biology ◽  
Synthetic Biology ◽  
Genetic Engineering ◽  
Genome Engineering ◽  
Antibiotic Resistance Genes ◽  
Viable Cell ◽  
Pathogenic Potential ◽  
Strong Basis ◽  
Content Type ◽  
Basic Biology

ABSTRACT The near-minimal bacterium Mesoplasma florum constitutes an attractive model for systems biology and for the development of a simplified cell chassis in synthetic biology. However, the lack of genetic engineering tools for this microorganism has limited our capacity to understand its basic biology and modify its genome. To address this issue, we have evaluated the susceptibility of M. florum to common antibiotics and developed the first generation of artificial plasmids able to replicate in this bacterium. Selected regions of the predicted M. florum chromosomal origin of replication (oriC) were used to create different plasmid versions that were tested for their transformation frequency and stability. Using polyethylene glycol-mediated transformation, we observed that plasmids harboring both rpmH-dnaA and dnaA-dnaN intergenic regions, interspaced or not with a copy of the dnaA gene, resulted in a frequency of ∼4.1 × 10−6 transformants per viable cell and were stably maintained throughout multiple generations. In contrast, plasmids containing only one M. florum oriC intergenic region or the heterologous oriC region of Mycoplasma capricolum, Mycoplasma mycoides, or Spiroplasma citri failed to produce any detectable transformants. We also developed alternative transformation procedures based on electroporation and conjugation from Escherichia coli, reaching frequencies up to 7.87 × 10−6 and 8.44 × 10−7 transformants per viable cell, respectively. Finally, we demonstrated the functionality of antibiotic resistance genes active against tetracycline, puromycin, and spectinomycin/streptomycin in M. florum. Taken together, these valuable genetic tools will facilitate efforts toward building an M. florum-based near-minimal cellular chassis for synthetic biology. IMPORTANCE Mesoplasma florum constitutes an attractive model for systems biology and for the development of a simplified cell chassis in synthetic biology. M. florum is closely related to the mycoides cluster of mycoplasmas, which has become a model for whole-genome cloning, genome transplantation, and genome minimization. However, M. florum shows higher growth rates than other Mollicutes, has no known pathogenic potential, and possesses a significantly smaller genome that positions this species among some of the simplest free-living organisms. So far, the lack of genetic engineering tools has limited our capacity to understand the basic biology of M. florum in order to modify its genome. To address this issue, we have evaluated the susceptibility of M. florum to common antibiotics and developed the first artificial plasmids and transformation methods for this bacterium. This represents a strong basis for ongoing genome engineering efforts using this near-minimal microorganism.

scholarly journals Estimating cellular pathways from an ensemble of heterogeneous data sources

2014 ◽  
Author(s):  
Alexander Franks ◽  
Florian Markowetz ◽  
Edoardo Airoldi
Keyword(s):  
Systems Biology ◽  
Expert Knowledge ◽  
Mapk Pathway ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Pheromone Response ◽  
Specific Strategy ◽  
Heterogeneous Data Sources ◽  
Cellular Pathways

Building better models of cellular pathways is one of the major challenges of systems biology and functional genomics. There is a need for methods to build on established expert knowledge and reconcile it with results of high-throughput studies. Moreover, the available data sources are heterogeneous and need to be combined in a way specific for the part of the pathway in which they are most informative. Here, we present a compartment specific strategy to integrate edge, node and path data for the refinement of a network hypothesis. Specifically, we use a local-move Gibbs sampler for refining pathway hypotheses from a compendium of heterogeneous data sources, including novel methodology for integrating protein attributes. We demonstrate the utility of this approach in a case study of the pheromone response MAPK pathway in the yeast S. cerevisiae.

Multimethod optimization in the cloud: A case-study in systems biology modelling

2018 ◽  
Vol 30 (12) ◽  
pp. e4488 ◽  
Author(s):  
Patricia González ◽  
David R. Penas ◽  
Xoan C. Pardo ◽  
Julio R. Banga ◽  
Ramón Doallo
Keyword(s):  
Systems Biology ◽  
Multimethod Optimization

Agent-Based Modelling in Multicellular Systems Biology

2020 ◽  
pp. 369-389
Author(s):  
Sara Montagna ◽  
Andrea Omicini
Keyword(s):  
Developmental Biology ◽  
Drosophila Melanogaster ◽  
Systems Biology ◽  
Computational Models ◽  
The Self ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Multi Agent

This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.

Systems Biology and Synthetic Biology

Crop Science ◽  
2010 ◽  
Vol 50 (2) ◽  
pp. 751-752
Author(s):  
S. K. Basu ◽  
A. Goyal
Keyword(s):  
Systems Biology ◽  
Synthetic Biology
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