High-content and high-throughput identification of macrophage polarization phenotypes. Issue 31 (29th July 2020)

• Record Type: Journal Article
• Authors: Geng, Yingying; Hardie, Joseph; Landis, Ryan F.; Mas-Rosario, Javier A.; Chattopadhyay, Aritra Nath; Keshri, Puspam; Sun, Jiadi; Rizzo, Erik M.; Gopalakrishnan, Sanjana; Farkas, Michelle E.; Rotello, Vincent M.
• Is Part Of: Chemical science. Volume 11:Issue 31(2020)
• Page Start: 8231
• Page End: 8239
• Publication Date: 2020-07-29
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/d0sc02792h
• Languages: English
• ISSNs: 2041-6520

Abstract

Abstract : 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. 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.