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Mathematical model identifies differences between individual cells

Fluorescence staining shows sensory neurons (blue) identified by automatic object recognition algorithms (green edges). Yellow or red staining of individual cells indicates signal intensities of proteins after stimulation with nerve growth factor (NGF). Source: University Hospital Cologne.

Scientists from the ICB have developed a mathematical model that is able to describe that cells react to their environment very individually. It uses existing knowledge about cellular signaling pathways in combination with flexible statistical models and has recently been published in ‘Cell Systems’.

Together with the University Hospital Cologne the team investigated whether or not differences in the cellular environment have an effect on pain-sensitization.

For more information, see the press release by the Helmholtz Zentrum München and the original publication: Loos, C. et al. (2018): A hierarchical, data-driven approach to modeling single-cell populations predicts latent causes of cell-to-cell variability. Cell Systems, DOI: 10.1016/j.cels.2018.04.008

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