Presentation + Paper
5 March 2021 Integrated functional characterization and optical tagging for cell-type identification
Author Affiliations +
Abstract
Imaging has become one of the most important tools for categorizing neurons based on their function. However, for a cell type identified only by its pattern of activity, the process of identifying molecular markers remains laborious. We developed physiological optical tagging sequencing (PhOTseq), a technique for tagging and expression profiling of cells on the basis of their functional properties. We developed a reporter combining a green calcium indicator (GCaMP) with a photoactivatable red reporter (PAmCherry). When visualizing neuronal activity in such animals, real-time analysis allowed digital selection of cells exhibiting specific activity patterns, and photoactivation was directed specifically to those cells to tag them for later harvesting and analysis. We found that PhOTseq was capable of selecting rare cell types and enriching them by nearly 100-fold. We applied PhOTseq to the challenge of mapping receptor-ligand pairings among pheromone-sensing neurons in mice, and densely mapped the cell types responsible for encoding a specific portion of the sensory world.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Donghoon Lee, Maiko Kume, and Timothy E. Holy "Integrated functional characterization and optical tagging for cell-type identification", Proc. SPIE 11663, Integrated Sensors for Biological and Neural Sensing, 116630I (5 March 2021); https://doi.org/10.1117/12.2583433
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KEYWORDS
Integrated optics

Integration

Neurons

Brain mapping

Calcium

Computer programming

Profiling

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