Literature DB >> 19635039

Synthetic biology of minimal systems.

Petra Schwille1, Stefan Diez.   

Abstract

"Synthetic biology" is a concept that has developed together with, or slightly after, "systems biology". But while systems biology aims at the full understanding of large systems by integrating more and more details into their models, synthetic biology phrases different questions, namely: what particular biological function could be obtained with a certain known subsystem of reduced complexity; can this function be manipulated or engineered in artificial environments or genetically modified organisms; and if so, how? The most prominent representation of synthetic biology has so far been microbial engineering by recombinant DNA technology, employing modular concepts known from information technology. However, there are an increasing number of biophysical groups who follow similar strategies of dissecting cellular processes and networks, trying to identify functional minimal modules that could then be combined in a bottom-up approach towards biology. These modules are so far not as particularly defined by their impact on DNA processing, but rather influenced by core fields of biophysics, such as cell mechanics and membrane dynamics. This review will give an overview of some classical and some quite new biophysical strategies for constructing minimal systems of certain cellular modules. We will show that with recent advances in understanding of cytoskeletal and membrane elements, the time might have come to experimentally challenge the concept of a minimal cell.

Mesh:

Year:  2009        PMID: 19635039     DOI: 10.1080/10409230903074549

Source DB:  PubMed          Journal:  Crit Rev Biochem Mol Biol        ISSN: 1040-9238            Impact factor:   8.250


  24 in total

1.  FtsZ Polymers Tethered to the Membrane by ZipA Are Susceptible to Spatial Regulation by Min Waves.

Authors:  Ariadna Martos; Ana Raso; Mercedes Jiménez; Zdeněk Petrášek; Germán Rivas; Petra Schwille
Journal:  Biophys J       Date:  2015-05-05       Impact factor: 4.033

2.  Ultrasensitivity by molecular titration in spatially propagating enzymatic reactions.

Authors:  Sergey N Semenov; Albert J Markvoort; Wouter B L Gevers; Aigars Piruska; Tom F A de Greef; Wilhelm T S Huck
Journal:  Biophys J       Date:  2013-08-20       Impact factor: 4.033

Review 3.  Biomaterial systems for mechanosensing and actuation.

Authors:  Peter Fratzl; Friedrich G Barth
Journal:  Nature       Date:  2009-11-26       Impact factor: 49.962

4.  Synthetic biology of minimal living cells: primitive cell models and semi-synthetic cells.

Authors:  Pasquale Stano
Journal:  Syst Synth Biol       Date:  2010-04-10

5.  Prospective Technology Assessment of Synthetic Biology: Fundamental and Propaedeutic Reflections in Order to Enable an Early Assessment.

Authors:  Jan Cornelius Schmidt
Journal:  Sci Eng Ethics       Date:  2015-07-10       Impact factor: 3.525

6.  Topography design in model membranes: Where biology meets physics.

Authors:  Sarina Chand; Paul Beales; Frederik Claeyssens; Barbara Ciani
Journal:  Exp Biol Med (Maywood)       Date:  2018-10-31

7.  Core-Shell Modeling of Light Scattering by Vesicles: Effect of Size, Contents, and Lamellarity.

Authors:  Anna Wang; Christopher Chan Miller; Jack W Szostak
Journal:  Biophys J       Date:  2019-01-10       Impact factor: 4.033

8.  Vesicles-on-a-chip: A universal microfluidic platform for the assembly of liposomes and polymersomes.

Authors:  Julien Petit; Ingmar Polenz; Jean-Christophe Baret; Stephan Herminghaus; Oliver Bäumchen
Journal:  Eur Phys J E Soft Matter       Date:  2016-06-14       Impact factor: 1.890

9.  Engineering Polymersome Protocells.

Authors:  Neha P Kamat; Joshua S Katz; Daniel A Hammer
Journal:  J Phys Chem Lett       Date:  2011-07-07       Impact factor: 6.475

Review 10.  Recent developments in fluorescence correlation spectroscopy for diffusion measurements in planar lipid membranes.

Authors:  Radek Macháň; Martin Hof
Journal:  Int J Mol Sci       Date:  2010-01-28       Impact factor: 6.208

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