Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/129491
Title: Using enhanced number and brightness to measure protein oligomerization dynamics in live cells
Author: Cutrale, Francesco
Rodriguez, Daniel
Hortigüela, Verónica
Chiu, CHi Li
Otterstrom, Jason
Seriola, Anna
Larranaga, Enara
Raya, Angel
Lakadamyali, Melike
Fraser, Scott E.
Martinez, Elena
Ojosnegros, Samuel
Mieruszynski, Stephen
Keywords: Proteïnes
Biofísica
Oligòmers
Sistemes d'imatges
Proteins
Biophysics
Oligomers
Imaging systems
Issue Date: 23-Jan-2019
Publisher: Nature Publishing Group
Abstract: Protein dimerization and oligomerization are essential to most cellular functions, yet measurement of the size of these oligomers in live cells, especially when their size changes over time and space, remains a challenge. A commonly used approach for studying protein aggregates in cells is number and brightness (N&B), a fluorescence microscopy method that is capable of measuring the apparent average number of molecules and their oligomerization (brightness) in each pixel from a series of fluorescence microscopy images. We have recently expanded this approach in order to allow resampling of the raw data to resolve the statistical weighting of coexisting species within each pixel. This feature makes enhanced N&B (eN&B) optimal for capturing the temporal aspects of protein oligomerization when a distribution of oligomers shifts toward a larger central size over time. In this protocol, we demonstrate the application of eN&B by quantifying receptor clustering dynamics using electron-multiplying charge-coupled device (EMCCD)-based total internal reflection microscopy (TIRF) imaging. TIRF provides a superior signal-to-noise ratio, but we also provide guidelines for implementing eN&B in confocal microscopes. For each time point, eN&B requires the acquisition of 200 frames, and it takes a few seconds up to 2 min to complete a single time point. We provide an eN&B (and standard N&B) MATLAB software package amenable to any standard confocal or TIRF microscope. The software requires a high-RAM computer (64 Gb) to run and includes a photobleaching detrending algorithm, which allows extension of the live imaging for more than an hour.
Note: Versió postprint del document publicat a: https://doi.org/10.1038/s41596-018-0111-9
It is part of: Nature Protocols, 2019, vol. 14, num. 2, p. 616-638
URI: http://hdl.handle.net/2445/129491
Related resource: https://doi.org/10.1038/s41596-018-0111-9
ISSN: 1754-2189
Appears in Collections:Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC))
Articles publicats en revistes (Electrònica)

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