Multiplexed Optical Sensors in Arrayed Islands of Cells for multimodal recordings of cellular physiology

Christopher A. Werley, Stefano Boccardo, Alessandra Rigamonti, Emil M. Hansson and Adam E. Cohen ()
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Christopher A. Werley: Harvard University
Stefano Boccardo: Harvard University
Alessandra Rigamonti: Karolinska Institute
Emil M. Hansson: Karolinska Institute
Adam E. Cohen: Harvard University

Nature Communications, 2020, vol. 11, issue 1, 1-17

Abstract: Abstract Cells typically respond to chemical or physical perturbations via complex signaling cascades which can simultaneously affect multiple physiological parameters, such as membrane voltage, calcium, pH, and redox potential. Protein-based fluorescent sensors can report many of these parameters, but spectral overlap prevents more than ~4 modalities from being recorded in parallel. Here we introduce the technique, MOSAIC, Multiplexed Optical Sensors in Arrayed Islands of Cells, where patterning of fluorescent sensor-encoding lentiviral vectors with a microarray printer enables parallel recording of multiple modalities. We demonstrate simultaneous recordings from 20 sensors in parallel in human embryonic kidney (HEK293) cells and in human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs), and we describe responses to metabolic and pharmacological perturbations. Together, these results show that MOSAIC can provide rich multi-modal data on complex physiological responses in multiple cell types.

Date: 2020
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DOI: 10.1038/s41467-020-17607-5

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