Live cell tagging tracking and isolation for spatial transcriptomics using photoactivatable cell dyes.

Nat Commun
Authors
Abstract

A cell's phenotype and function are influenced by dynamic interactions with its microenvironment. To examine cellular spatiotemporal activity, we developed SPACECAT-Spatially PhotoActivatable Color Encoded Cell Address Tags-to annotate, track, and isolate cells while preserving viability. In SPACECAT, samples are stained with photocaged fluorescent molecules, and cells are labeled by uncaging those molecules with user-patterned near-UV light. SPACECAT offers single-cell precision and temporal stability across diverse cell and tissue types. Illustratively, we target crypt-like regions in patient-derived intestinal organoids to enrich for stem-like and actively mitotic cells, matching literature expectations. Moreover, we apply SPACECAT to ex vivo tissue sections from four healthy organs and an autochthonous lung tumor model. Lastly, we provide a computational framework to identify spatially-biased transcriptome patterns and enriched phenotypes. This minimally perturbative and broadly applicable method links cellular spatiotemporal and/or behavioral phenotypes with diverse downstream assays, enabling insights into the connections between tissue microenvironments and (dys)function.

Year of Publication
2021
Journal
Nat Commun
Volume
12
Issue
1
Pages
4995
Date Published
2021 08 17
ISSN
2041-1723
DOI
10.1038/s41467-021-25279-y
PubMed ID
34404785
Links
Grant list
T32 GM007753 / GM / NIGMS NIH HHS / United States
K99 CA241072 / CA / NCI NIH HHS / United States
DP2 GM119419 / GM / NIGMS NIH HHS / United States
RM1 HG006193 / HG / NHGRI NIH HHS / United States
HHMI / Howard Hughes Medical Institute / United States