An end-to-end software solution for the analysis of high-throughput single-cell migration data

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作者
Paola Masuzzo
Lynn Huyck
Aleksandra Simiczyjew
Christophe Ampe
Lennart Martens
Marleen Van Troys
机构
[1] VIB-UGent Center for Medical Biotechnology,Department of Biochemistry
[2] Ghent University,Department of Cell Pathology
[3] Faculty of Biotechnology,undefined
[4] University of Wroclaw,undefined
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The systematic study of single-cell migration requires the availability of software for assisting data inspection, quality control and analysis. This is especially important for high-throughput experiments, where multiple biological conditions are tested in parallel. Although the field of cell migration can count on different computational tools for cell segmentation and tracking, downstream data visualization, parameter extraction and statistical analysis are still left to the user and are currently not possible within a single tool. This article presents a completely new module for the open-source, cross-platform CellMissy software for cell migration data management. This module is the first tool to focus specifically on single-cell migration data downstream of image processing. It allows fast comparison across all tested conditions, providing automated data visualization, assisted data filtering and quality control, extraction of various commonly used cell migration parameters, and non-parametric statistical analysis. Importantly, the module enables parameters computation both at the trajectory- and at the step-level. Moreover, this single-cell analysis module is complemented by a new data import module that accommodates multiwell plate data obtained from high-throughput experiments, and is easily extensible through a plugin architecture. In conclusion, the end-to-end software solution presented here tackles a key bioinformatics challenge in the cell migration field, assisting researchers in their high-throughput data processing.
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