Synthetic biology and microbioreactor platforms for programmable production of biologics at the point-of-care
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Synthetic biology.pdf
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Author(s)
Cleto, Sara
Lee, Kevin
Perez-Pinera, Pablo
Han, Ningren
Cao, Jicong
Purcell, Oliver
Shah, Kartik A
Ram, Rajeev J
Lu, Timothy K
Date Issued
July 2016
Journal
Nature Communications
Publisher
Nature Publishing Group
Citation
Perez-Pinera, Pablo; Han, Ningren; Cleto, Sara; Cao, Jicong; Purcell, Oliver; Shah, Kartik A.; Lee, Kevin; Ram, Rajeev and Lu, Timothy K. “Synthetic Biology and Microbioreactor Platforms for Programmable Production of Biologics at the Point-of-Care.” Nature Communications 7 (July 2016): 12211. © 2017 Macmillan Publishers Limited, part of Springer Nature
Version
Final published version
Abstract
Current biopharmaceutical manufacturing systems are not compatible with portable or distributed production of biologics, as they typically require the development of single biologic-producing cell lines followed by their cultivation at very large scales. Therefore, it remains challenging to treat patients in short time frames, especially in remote locations with limited infrastructure. To overcome these barriers, we developed a platform using genetically engineered Pichia pastoris strains designed to secrete multiple proteins on programmable cues in an integrated, benchtop, millilitre-scale microfluidic device. We use this platform for rapid and switchable production of two biologics from a single yeast strain as specified by the operator. Our results demonstrate selectable and near-single-dose production of these biologics in <24 h with limited infrastructure requirements. We envision that combining this system with analytical, purification and polishing technologies could lead to a small-scale, portable and fully integrated personal biomanufacturing platform that could advance disease treatment at point-of-care.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Koch Institute for Integrative Cancer Research at MIT
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Creative Commons Attribution 4.0 International License
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DOI of Published Version
https://doi.org/10.1038/ncomms12211
