Cell migration is a fundamental process in medically highly relevant topics, including morphogenesis, immune function, wound healing, and cancer metastasis, and the study of cell migration thus has a direct impact on major clinical applications, especially regarding personalized treatment and diagnosis. Over the last few years, cell migration research has benefited enormously from advances in methodology and instrumentation, allowing multiplexing and multi-parameter post-processing of cell migration analyses to become widely used.
As cell migration studies have thus de facto become both a high-content as well as a high-throughput science, an urgent yet largely unmet bioinformatics need has emerged in the form of intra- and inter-lab data management solutions, standardization and dissemination infrastructure, and novel approaches and algorithms for meta-analysis. The central goal of MULTIMOT is therefore to construct a comprehensive, open and free data exchange ecosystem for cell migration data, based on the development of extensible community standards and a robust, future-proof repository that collects, annotates and disseminates these data in the standardized formats. The standards and repository will be supported by freely available and open source tools for data management, submission, extraction and analysis. Importantly, we will also demonstrate the application of large-scale integrative data analysis from cell migration studies through two proof-of-concept studies: guiding personalized cancer treatment from patient organoids, and providing patient-specific diagnosis based on peripheral blood leukocyte motility.