Ultrahigh-throughput screening in drop-based microfluidics for directed evolution
- PMID: 20142500
- PMCID: PMC2840095
- DOI: 10.1073/pnas.0910781107
Ultrahigh-throughput screening in drop-based microfluidics for directed evolution
Erratum in
- Proc Natl Acad Sci U S A. 2010 Apr 6;107(14):6550
Abstract
The explosive growth in our knowledge of genomes, proteomes, and metabolomes is driving ever-increasing fundamental understanding of the biochemistry of life, enabling qualitatively new studies of complex biological systems and their evolution. This knowledge also drives modern biotechnologies, such as molecular engineering and synthetic biology, which have enormous potential to address urgent problems, including developing potent new drugs and providing environmentally friendly energy. Many of these studies, however, are ultimately limited by their need for even-higher-throughput measurements of biochemical reactions. We present a general ultrahigh-throughput screening platform using drop-based microfluidics that overcomes these limitations and revolutionizes both the scale and speed of screening. We use aqueous drops dispersed in oil as picoliter-volume reaction vessels and screen them at rates of thousands per second. To demonstrate its power, we apply the system to directed evolution, identifying new mutants of the enzyme horseradish peroxidase exhibiting catalytic rates more than 10 times faster than their parent, which is already a very efficient enzyme. We exploit the ultrahigh throughput to use an initial purifying selection that removes inactive mutants; we identify approximately 100 variants comparable in activity to the parent from an initial population of approximately 10(7). After a second generation of mutagenesis and high-stringency screening, we identify several significantly improved mutants, some approaching diffusion-limited efficiency. In total, we screen approximately 10(8) individual enzyme reactions in only 10 h, using < 150 microL of total reagent volume; compared to state-of-the-art robotic screening systems, we perform the entire assay with a 1,000-fold increase in speed and a 1-million-fold reduction in cost.
Conflict of interest statement
Patent applications that include some of the ideas described in this manuscript have been filed by Harvard University, the Medical Research Council, UK, and the University of Strasbourg. Should these institutions receive revenues as a result of licensing these patents, the authors are entitled to receive payments through the respective Inventor’s Rewards Schemes. J.J.A. is founder of Fluid Discovery, which uses ultrahigh-throughput screening methods derived from ideas described herein. A.D.G. and D.A.W. are also founders of Raindance Technologies, which has licensed some of these patent applications.
Figures



References
-
- Joyce AR, Palsson BO. The model organism as a system: Integrating ‘omics’ data sets. Nat Rev Mol Cell Biol. 2006;7:198–210. - PubMed
-
- Carter PJ. Potent antibody therapeutics by design. Nat Rev Immunol. 2006;6:343–357. - PubMed
-
- Bershtein S, Tawfik DS. Advances in laboratory evolution of enzymes. Curr Opin Chem Biol. 2008;12:151–158. - PubMed
-
- Keasling JD. Synthetic biology for synthetic chemistry. ACS Chem Biol. 2008;3:64–76. - PubMed
-
- Peisajovich SG, Tawfik DS. Protein engineers turned evolutionists. Nat Methods. 2007;4:991–994. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources