Open AccessHigh-throughput selection of cells based on accumulated growth and division using PicoShell particles
Author(s) -
Mark van Zee,
Joseph de Rutte,
Rose Rumyan,
Cayden Williamson,
Trevor Burnes,
Randor Radakovits,
Andrew Sonico Eugenio,
Sara Badih,
Sohyung Lee,
Dong-Hyun Lee,
Maani M. Archang,
Dino Di Carlo
Publication year - 2022
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2109430119
Subject(s) - bioreactor , chlorella , laboratory flask , biology , chinese hamster ovary cell , population , bioprocess , biomass (ecology) , microbiology and biotechnology , saccharomyces cerevisiae , microfluidics , biochemical engineering , biological system , biophysics , cell culture , nanotechnology , chemistry , yeast , algae , botany , biochemistry , ecology , materials science , genetics , paleontology , demography , sociology , engineering
Significance Current high-throughput cell screening tools do not select cells based on their behavior in production or commercial environments, making it difficult to translate selected cells from the laboratory to commercialization. With PicoShells, we are able to perform high-throughput sorting of cells based on their phenotypic behavior in production-relevant environments, like stirred flasks, and in the presence of background cells, potentially speeding up the development of new biotechnology products by several months to years. In particular, PicoShells enable the selection of clonal colonies based on their overall accumulated growth or production of, for example, chlorophyll over a set period of time, potentially creating a cell selection tool that will improve yields of desired bioproducts.