Synthetic biology with artificially expanded genetic information systems. From personalized medicine to extraterrestrial life

2003 ◽  
Vol 3 (1) ◽  
pp. 125-126 ◽  
Author(s):  
S. A. Benner ◽  
D. Hutter ◽  
A. M. Sismour
2016 ◽  
Vol 60 (4) ◽  
pp. 303-313 ◽  
Author(s):  
Juhyun Kim ◽  
Manuel Salvador ◽  
Elizabeth Saunders ◽  
Jaime González ◽  
Claudio Avignone-Rossa ◽  
...  

The chassis is the cellular host used as a recipient of engineered biological systems in synthetic biology. They are required to propagate the genetic information and to express the genes encoded in it. Despite being an essential element for the appropriate function of genetic circuits, the chassis is rarely considered in their design phase. Consequently, the circuits are transferred to model organisms commonly used in the laboratory, such as Escherichia coli, that may be suboptimal for a required function. In this review, we discuss some of the properties desirable in a versatile chassis and summarize some examples of alternative hosts for synthetic biology amenable for engineering. These properties include a suitable life style, a robust cell wall, good knowledge of its regulatory network as well as of the interplay of the host components with the exogenous circuits, and the possibility of developing whole-cell models and tuneable metabolic fluxes that could allow a better distribution of cellular resources (metabolites, ATP, nucleotides, amino acids, transcriptional and translational machinery). We highlight Pseudomonas putida, widely used in many different biotechnological applications as a prominent organism for synthetic biology due to its metabolic diversity, robustness and ease of manipulation.


2017 ◽  
Vol 6 (10) ◽  
pp. 1834-1840 ◽  
Author(s):  
Sydney E. Morris ◽  
Aaron W. Feldman ◽  
Floyd E. Romesberg

2017 ◽  
Vol 1 (3) ◽  
pp. 241-243
Author(s):  
Jeffrey Skolnick

As is typical of contemporary cutting-edge interdisciplinary fields, computational biology touches and impacts many disciplines ranging from fundamental studies in the areas of genomics, proteomics transcriptomics, lipidomics to practical applications such as personalized medicine, drug discovery, and synthetic biology. This editorial examines the multifaceted role computational biology plays. Using the tools of deep learning, it can make powerful predictions of many biological variables, which may not provide a deep understanding of what factors contribute to the phenomena. Alternatively, it can provide the how and the why of biological processes. Most importantly, it can help guide and interpret what experiments and biological systems to study.


Author(s):  
Ali Nikoomanzar ◽  
Nicholas Chim ◽  
Eric J. Yik ◽  
John C. Chaput

Abstract DNA polymerases play a central role in biology by transferring genetic information from one generation to the next during cell division. Harnessing the power of these enzymes in the laboratory has fueled an increase in biomedical applications that involve the synthesis, amplification, and sequencing of DNA. However, the high substrate specificity exhibited by most naturally occurring DNA polymerases often precludes their use in practical applications that require modified substrates. Moving beyond natural genetic polymers requires sophisticated enzyme-engineering technologies that can be used to direct the evolution of engineered polymerases that function with tailor-made activities. Such efforts are expected to uniquely drive emerging applications in synthetic biology by enabling the synthesis, replication, and evolution of synthetic genetic polymers with new physicochemical properties.


Structure ◽  
2003 ◽  
Vol 11 (12) ◽  
pp. 1485-1498 ◽  
Author(s):  
C.Ronald Geyer ◽  
Thomas R. Battersby ◽  
Steven A. Benner

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