2017
DOI: 10.1101/171983
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Spot-On: robust model-based analysis of single-particle tracking experiments

Abstract: 2 ABSTRACT 27Single-particle tracking (SPT) has become an important method to bridge 28 biochemistry and cell biology since it allows direct observation of protein binding and 29 diffusion dynamics in live cells. However, accurately inferring information from SPT studies 30 is challenging due to biases in both data analysis and experimental design. To address analysis 31 bias, we introduce "Spot-On", an intuitive web-interface. Spot-On implements a kinetic 32 modeling framework that accounts for known biases, … Show more

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Cited by 64 publications
(117 citation statements)
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“…Single molecule imaging studies of transcription factors in living nuclei have uncovered critical new features of their function that could not have been predicted based on biochemical or genomic approaches (Chen et al, 2014b;Chong et al, 2018;Hansen et al, 2018;Liu and Tjian, 2018;Loffreda et al, 2017;Teves et al, 2016). Here we have presented a series of experiments that investigate in detail the molecular mechanisms that govern the dynamic behavior of MeCP2 in live neurons.…”
Section: Discussionmentioning
confidence: 99%
“…Single molecule imaging studies of transcription factors in living nuclei have uncovered critical new features of their function that could not have been predicted based on biochemical or genomic approaches (Chen et al, 2014b;Chong et al, 2018;Hansen et al, 2018;Liu and Tjian, 2018;Loffreda et al, 2017;Teves et al, 2016). Here we have presented a series of experiments that investigate in detail the molecular mechanisms that govern the dynamic behavior of MeCP2 in live neurons.…”
Section: Discussionmentioning
confidence: 99%
“…For example, for faster acquisition rates, you may use a model-based fitting to the distributions of displacements to estimate the fraction of the population that is bound and mobile and the diffusion coefficient of these populations. Recently our group has set up a web-based tool called spot-on where you can upload trajectory data to perform such analysis [13]. For residence time analysis on longer exposure time data, you may calculate the distribution of trajectory lengths of binding events, known as the survival probability distribution.…”
Section: Methodsmentioning
confidence: 99%
“…Second you may perform tracking on a fixed sample, calculate a mean-squared displacement curve, and determine the localization error from the intercept of the curve. If you are using spot-on [13] for analysis, it will estimate the localization error based on the data you provide. …”
Section: Notesmentioning
confidence: 99%
“…Recent years have seen significant advances in both experimental [30][31][32][33][34][35] and data analysis strategies [36][37][38][39][40][41][42][43][44] of SPT, some of which have dramatically improved the information throughput. Among others, spt-PALM combines SPT with photoactivated localization microscopy (PALM) to enable single molecule tracking under dense labeling conditions through stochastic photoswitching 30 .…”
Section: Introductionmentioning
confidence: 99%
“…With spt-PALM, it is routine to acquire tens of thousands of diffusion trajectories from a single cell. A growing list of software tools has also been developed to facilitate spt-PALM data analysis 36,37,39,43,45 . In particular, variational Bayes SPT (vbSPT) package allows construction of a detailed diffusion model from spt-PALM data with parameters such as the number of states, the diffusion coefficient and the occupancy of each state, as well as the state transition rates even when the individual trajectories are short 36 .…”
Section: Introductionmentioning
confidence: 99%