TY - JOUR
T1 - An estimate is worth about a thousand experiments
T2 - Using order-of-magnitude estimates to identify cellular engineering targets
AU - Metcalf, Kevin James
AU - Slininger Lee, Marilyn F.
AU - Jakobson, Christopher Matthew
AU - Tullman-Ercek, Danielle
N1 - Funding Information:
This work was supported by the National Science Foundation (award MCB1150567 to D.T.E. and a graduate research fellowship to K.J.M.), the Army Research Office (grant W911NF‑15‑1‑0144 to D.T.E.), and fellowships from the University of California (to K.J.M. and C.M.J.).
Publisher Copyright:
© 2018 The Author(s).
PY - 2018/8/30
Y1 - 2018/8/30
N2 - Biotechnological processes use microbes to convert abundant molecules, such as glucose, into high-value products, such as pharmaceuticals, commodity and fine chemicals, and energy. However, from the outset of the development of a new bioprocess, it is difficult to determine the feasibility, expected yields, and targets for engineering. In this review, we describe a methodology that uses rough estimates to assess the feasibility of a process, approximate the expected product titer of a biological system, and identify variables to manipulate in order to achieve the desired performance. This methodology uses estimates from literature and biological intuition, and can be applied in the early stages of a project to help plan future engineering. We highlight recent literature examples, as well as two case studies from our own work, to demonstrate the use and power of rough estimates. Describing and predicting biological function using estimates guides the research and development phase of new bioprocesses and is a useful first step to understand and build a new microbial factory.
AB - Biotechnological processes use microbes to convert abundant molecules, such as glucose, into high-value products, such as pharmaceuticals, commodity and fine chemicals, and energy. However, from the outset of the development of a new bioprocess, it is difficult to determine the feasibility, expected yields, and targets for engineering. In this review, we describe a methodology that uses rough estimates to assess the feasibility of a process, approximate the expected product titer of a biological system, and identify variables to manipulate in order to achieve the desired performance. This methodology uses estimates from literature and biological intuition, and can be applied in the early stages of a project to help plan future engineering. We highlight recent literature examples, as well as two case studies from our own work, to demonstrate the use and power of rough estimates. Describing and predicting biological function using estimates guides the research and development phase of new bioprocesses and is a useful first step to understand and build a new microbial factory.
KW - Bioprocess
KW - Metabolic engineering
KW - Synthetic biology
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U2 - 10.1186/s12934-018-0979-7
DO - 10.1186/s12934-018-0979-7
M3 - Review article
C2 - 30165868
AN - SCOPUS:85052590094
VL - 17
JO - Microbial Cell Factories
JF - Microbial Cell Factories
SN - 1475-2859
IS - 1
M1 - 135
ER -