Fluorescence Fluctuations and Equivalence Classes of Ca2+ Imaging Experiments

ESTEFANÍA PIEGARI, LUCÍA LOPEZ, EMILIANO PEREZ IPIÑA AND SILVINA PONCE DAWSON

PLOS ONE

PUBLIC LIBRARY SCIENCE

Año: 2014

1932-6203

Ca2+ release into the cytosol through inositol 1,4,5-trisphosphate receptors (IP3Rs) plays a relevant role in numerous physiological processes. IP3R-mediated Ca2+ signals involve Ca2+-induced Ca2+-release (CICR) whereby Ca2+ release through one open IP3R induces the opening of other channels. IP3Rs are apparently organized in clusters. The signals can remain localized (i.e., Ca2+ puffs) if CICR is limited to one cluster or become waves that propagate between clusters. Ca2+puffs are the building blocks of Ca2+ waves. Thus, there is great interest in determining puff properties, especially in view of the current controversy on the spatial distribution of activatable IP3Rs. Ca2+ puffs have been observed in intact cells with optical techniques proving that they are intrinsically stochastic. Obtaining a correct picture of their dynamics then entails being able to detect the whole range of puff sizes. Ca2+ puffs are observed using visible single-wavelength Ca2+ dyes, slow exogenous buffers (e.g., EGTA) to disrupt inter-cluster CICR and UV-photolyzable caged IP3. Single-wavelength dyes increase their fluorescence upon calcium binding producing images that are strongly dependent on their kinetic, transport and photophysical properties. Determining the artifacts that the imaging setting introduces is particularly relevant when trying to analyze the smallest [Formula: see text] signals. In this paper we introduce a method to estimate the expected signal-to-noise ratio of Ca2+ imaging experiments that use single-wavelength dyes. The method is based on the Number and Brightness technique. It involves the performance of a series of experiments and their subsequent analysis in terms of a fluorescence fluctuation model with which the model parameters are quantified. Using the model, the expected signal-to-noise ratio is then computed. Equivalence classes between different experimental conditions that produce images with similar signal-to-noise ratios can then be established. The method may also be used to estimate the smallest signals that can reliably be observed with each setting.