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High-content and high-throughput identification of macrophage polarization phenotypes
Authors:Yingying Geng  Joseph Hardie  Ryan F. Landis  Javier A. Mas-Rosario  Aritra Nath Chattopadhyay  Puspam Keshri  Jiadi Sun  Erik M. Rizzo  Sanjana Gopalakrishnan  Michelle E. Farkas  Vincent M. Rotello
Affiliation:Molecular and Cellular Biology Program, University of Massachusetts Amherst, 710 N. Pleasant St., Amherst MA 01003 USA.; Department of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant St., Amherst MA 01003 USA
Abstract:Macrophages are plastic cells of the innate immune system that perform a wide range of immune- and homeostasis-related functions. Due to their plasticity, macrophages can polarize into a spectrum of activated phenotypes. Rapid identification of macrophage polarization states provides valuable information for drug discovery, toxicological screening, and immunotherapy evaluation. The complexity associated with macrophage activation limits the ability of current biomarker-based methods to rapidly identify unique activation states. In this study, we demonstrate the ability of a 2-element sensor array that provides an information-rich 5-channel output to successfully determine macrophage polarization phenotypes in a matter of minutes. The simple and robust sensor generates a high dimensional data array which enables accurate macrophage evaluations in standard cell lines and primary cells after cytokine treatment, as well as following exposure to a model disease environment.

Phenotyping macrophage activation states using an array-based sensor. FRET complex assembly selectively interacts with the macrophage surface, generating a fingerprint for each polarization state that is further used to identify the activation state.
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