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We approach the 3-dimensional organization of chromatin and epigenetics at single cell level using imaging. We are interested in understanding how individual (single lcell) chromatin states (cell type, cell age, and perturbations) are defined through the combination and topology of epigenetic marks.
We developed a novel technique – image-based chromatin and epigenetic age (ImAge) that captures intrinsic age-related progressions (trajectories) of the spatial organisation of chromatin and epigenetic marks in single nuclei. Such trajectories readily emerge as principal changes in each individual dataset without regression on chronological age. We propose that ImAge represents the first-in-class imaging-based biomarker of ageing with single-cell resolution.
