A Platform To Enhance Quantitative Single Molecule Localization Microscopy
Author(s) -
Ottavia Golfetto,
Devin L. Wakefield,
Eliedonna E. Cacao,
Kendra N. Avery,
Victor Kenyon,
Raphaël Jorand,
Steven J. Tobin,
Sunetra Biswas,
Jennifer Gutiérrez,
Ronald M. Clinton,
Yuelong Ma,
David Horne,
John C. Williams,
Tijana JovanovićTalisman
Publication year - 2018
Publication title -
journal of the american chemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.115
H-Index - 612
eISSN - 1520-5126
pISSN - 0002-7863
DOI - 10.1021/jacs.8b04939
Subject(s) - chemistry , fluorescence , fluorescence microscope , endogeny , biophysics , in situ , membrane , antibody , receptor , molecule , computational biology , microscopy , human epidermal growth factor receptor 2 , microbiology and biotechnology , biochemistry , cancer , biology , physics , genetics , organic chemistry , quantum mechanics , breast cancer , immunology , optics
Quantitative single molecule localization microscopy (qSMLM) is a powerful approach to study in situ protein organization. However, uncertainty regarding the photophysical properties of fluorescent reporters can bias the interpretation of detected localizations and subsequent quantification. Furthermore, strategies to efficiently detect endogenous proteins are often constrained by label heterogeneity and reporter size. Here, a new surface assay for molecular isolation (SAMI) was developed for qSMLM and used to characterize photophysical properties of fluorescent proteins and dyes. SAMI-qSMLM afforded robust quantification. To efficiently detect endogenous proteins, we used fluorescent ligands that bind to a specific site on engineered antibody fragments. Both the density and nano-organization of membrane-bound epidermal growth factor receptors (EGFR, HER2, and HER3) were determined by a combination of SAMI, antibody engineering, and pair-correlation analysis. In breast cancer cell lines, we detected distinct differences in receptor density and nano-organization upon treatment with therapeutic agents. This new platform can improve molecular quantification and can be developed to study the local protein environment of intact cells.
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