Title |
Bottom-up approaches in synthetic biology and biomaterials for tissue engineering applications
|
---|---|
Published in |
Journal of Industrial Microbiology & Biotechnology, July 2018
|
DOI | 10.1007/s10295-018-2027-3 |
Pubmed ID | |
Authors |
Mitchell S Weisenberger, Tara L Deans |
Abstract |
Synthetic biologists use engineering principles to design and construct genetic circuits for programming cells with novel functions. A bottom-up approach is commonly used to design and construct genetic circuits by piecing together functional modules that are capable of reprogramming cells with novel behavior. While genetic circuits control cell operations through the tight regulation of gene expression, a diverse array of environmental factors within the extracellular space also has a significant impact on cell behavior. This extracellular space offers an addition route for synthetic biologists to apply their engineering principles to program cell-responsive modules within the extracellular space using biomaterials. In this review, we discuss how taking a bottom-up approach to build genetic circuits using DNA modules can be applied to biomaterials for controlling cell behavior from the extracellular milieu. We suggest that, by collectively controlling intrinsic and extrinsic signals in synthetic biology and biomaterials, tissue engineering outcomes can be improved. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 30% |
France | 1 | 10% |
United Kingdom | 1 | 10% |
Turkey | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 50% |
Scientists | 5 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 67 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 18% |
Student > Bachelor | 10 | 15% |
Student > Ph. D. Student | 8 | 12% |
Professor | 3 | 4% |
Professor > Associate Professor | 3 | 4% |
Other | 8 | 12% |
Unknown | 23 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 19 | 28% |
Agricultural and Biological Sciences | 7 | 10% |
Chemistry | 7 | 10% |
Engineering | 5 | 7% |
Medicine and Dentistry | 2 | 3% |
Other | 3 | 4% |
Unknown | 24 | 36% |