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Detection of Cell-Cell Interactions via Photocatalytic Cell Tagging

Authors :
Grazia Piizzi
Karen Cromie
Samantha D. O’Hara
Rob C. Oslund
Kelly A. Crotty
Vanessa M. Peterson
Lee R. Roberts
Daria J. Hazuda
Cory H. White
Erik C. Hett
Tamara Reyes-Robles
David H. Perlman
Dan Chang
David Vlerick
Silvia Frutos
Olugbeminiyi O. Fadeyi
Edward P. Bowman
Jake H. Tomlinson
Miquel Vila-Perelló
Lixia Li
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

Cell-cell interactions drive essential biological processes critical to cell and tissue development, function, pathology, and disease outcome. The growing appreciation of immune cell interactions within disease environments has led to significant efforts to develop protein- and cell-based therapeutic strategies. A better understanding of these cell-cell interactions will enable the development of effective immunotherapies. However, characterizing these complex cellular interactions at molecular resolution in their native biological contexts remains challenging. To address this, we introduce photocatalytic cell tagging (PhoTag), a modality agnostic platform for profiling cell-cell interactions. Using photoactivatable flavin-based cofactors, we generate phenoxy radical tags for targeted labeling at the cell surface. Through various targeting modalities (e.g. MHC-Multimer, antibody, single domain antibody (VHH)) we deliver a flavin photocatalyst for cell tagging within monoculture, co-culture, and peripheral blood mononuclear cells. PhoTag enables highly selective tagging of the immune synapse between an immune cell and an antigen-presenting cell through targeted labeling at the cell-cell junction. This allowed for the ability to profile gene expression-level differences between interacting and bystander cell populations. Given the modality agnostic and spatio-temporal nature of PhoTag, we envision its broad utilization to detect and profile intercellular interactions within an immune synapse and other confined cellular regions for any biological system.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........be94bbf6f8e3c3e1350c37ea44680a31