Multiplexed Optical Sensors in Arrayed Islands of Cells for multimodal recordings of cellular physiology.
Christopher A WerleyStefano BoccardoAlessandra RigamontiEmil M HanssonAdam E CohenPublished in: Nature communications (2020)
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.
Keyphrases
- induced apoptosis
- cell cycle arrest
- endothelial cells
- cell death
- signaling pathway
- magnetic resonance imaging
- low cost
- physical activity
- oxidative stress
- quantum dots
- machine learning
- magnetic resonance
- deep learning
- climate change
- cell proliferation
- induced pluripotent stem cells
- high glucose
- diabetic rats
- human health
- mass spectrometry
- big data
- bone marrow
- cell fate
- bioinformatics analysis