Image-derived models of cell organization changes during differentiation and drug treatments

Author:

Ruan Xiongtao1,Johnson Gregory R.1,Bierschenk Iris2,Nitschke Roland23,Boerries Melanie456,Busch Hauke7,Murphy Robert F.189

Affiliation:

1. Computational Biology Department, School of Computer Science, and

2. Life Imaging Center of the Center for Biological Systems Analysis

3. BIOSS Centre for Biological Signaling Studies

4. Institute of Molecular Medicine and Cell Research, Center of Biochemistry and Molecular Cell Research, and

5. German Cancer Consortium (DKTK), Freiburg, Germany

6. German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany

7. Lübeck Institute of Experimental Dermatology and Institute of Cardiogenetics, University of Lübeck, 23562 Lübeck, Germany

8. Departments of Biological Sciences, Biomedical Engineering, and Machine Learning, Carnegie Mellon University, Pittsburgh, PA 15213

9. Freiburg Institute for Advanced Studies and Faculty of Biology, Albert Ludwig University of Freiburg, D-79104 Freiburg, Germany

Abstract

Images of differentiating PC12 cells were used to construct models of cell shape, nuclear shape, and mitochondrial distribution. Likely trajectories that a single cell would have followed if it had been observed at each time point were found, and synthetic movies made that show the extensive cell–cell variation in rate and extent of differentiation.

Publisher

American Society for Cell Biology (ASCB)

Subject

Cell Biology,Molecular Biology

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