Quantitative determination of the spatial distribution of components in single cells with CellDetail

The distribution of biomolecules within cells changes upon aging and diseases. To quantitatively determine the spatial distribution of components inside cells, we built the user-friendly open-source 3D-cell-image analysis platform Cell Det ection and A nalysis of I ntensity L ounge (CellDetail). The algorithm within CellDetail is based on the concept of the dipole moment. CellDetail provides quantitative values for the distribution of the polarity proteins Cdc42 and Tubulin in young and aged hematopoietic stem cells (HSCs). Septin proteins form networks within cells that are critical for cell compartmentalization. We uncover a reduced level of organization of the Septin network within aged HSCs and within senescent human fibroblasts. Changes in the Septin network structure might therefore be a common feature of aging. The level of organization of the network of Septin proteins in aged HSCs can be restored to a youthful level by pharmacological attenuation of the activity of the small RhoGTPase Cdc42. Tools to determine the spatial distribution of components and their networks inside cells are not well developed. Here, authors provide the open-source 3D-cell-image analysis platform Cell Detection and Analysis of Intensity Lounge (CellDetail) for quantitative distribution analyses.