Spatially-resolved live cell tagging and isolation using protected photoactivatable cell dyes

Biology Biology
Cancer Cancer
Chemistry Chemistry
Genomics Genomics
R&D R&D
Technology Technology
Alex Genshaft Alex Genshaft
Alex K. Shalek Alex K. Shalek
Andrew Navia Andrew Navia
Ben Mead Ben Mead
Carly Ziegler Carly Ziegler
Constantine Tzouanas Constantine Tzouanas

Genshaft et al.▾ Genshaft, A.S., Ziegler, C.G.K., Tzouanas, C.N., Mead, B.E., Jaeger, A.M., Navia, A.W., King, R.P., Jacks, T., Van Humbeck, J.F., Shalek, A.K.

bioRxiv

March, 2020

Abstract

Whether cultured in vitro or part of a complex tissue in vivo, a cell's phenotype and function are significantly influenced by dynamic interactions with its microenvironment. To explicitly examine how a cell's spatiotemporal activity impacts its behavior, we developed and validated a strategy termed SPACECAT - Spatially PhotoActivatable Color Encoded Cell Address Tags - to annotate, track, and isolate specific cells in a non-destructive, viability-preserving manner. In SPACECAT, a biological sample is immersed in a photocaged fluorescent molecule, and cells within a location of interest are labeled for further study by uncaging that molecule with user-patterned near-UV light. SPACECAT offers high spatial precision and temporal stability across diverse cell and tissue types, and is compatible with common downstream assays, including flow cytometry and single-cell RNA-Seq. Illustratively, we leveraged this approach in patient-derived intestinal organoids, a spatially complex system less amenable to genetic manipulations, to select for crypt-like regions enriched in stem-like and actively mitotic cells. Moreover, we demonstrate its applicability and utility on ex vivo tissue sections from four healthy organs and an autochthonous lung tumor model, uncovering spatially-biased gene expression patterns among immune cell subsets and identifying rare myeloid phenotypes enriched around tumor/healthy border regions. In sum, our method provides a minimally invasive and broadly applicable approach to link cellular spatiotemporal features and/or behavioral phenotypes with diverse downstream assays, enabling fundamental insights into the connections between tissue microenvironments and biological (dys)function.