bioRxiv preprint doi: https://doi.org/10.1101/503813; this version posted January 15, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Cell Division History Determines Hematopoietic Stem Cell Potency Fumio Arai1,†,*, Patrick S. Stumpf2,†, Yoshiko M. Ikushima3,†, Kentaro Hosokawa1, Aline Roch4, Matthias P. Lutolf4, Toshio Suda5, and Ben D. MacArthur2,6,7,* †† 1Department of Stem Cell Biology and Medicine, Graduate School of Medical Sciences, Kyushu University, 812-8582, Fukuoka, Japan. 2Centre for Human Development, Stem Cells and Regeneration, University of Southampton, SO17 1BJ, UK 3Research Institute National Center for Global Health and Medicine, Tokyo, Japan 4Laboratory of Stem Cell Bioengineering, Institute of Bioengineering, School of Life Sciences and School of Engineering, Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland 5Cancer Science Institute, National University of Singapore, 14 Medical Drive, MD6, 117599 Singapore, Singapore 6Institute for Life Sciences, University of Southampton, SO17 1BJ, United Kingdom 7Mathematical Sciences, University of Southampton, SO17 1BJ, United Kingdom *Correspondence to Fumio Arai (
[email protected]) and Ben MacArthur (
[email protected]) †These authors contributed equally. ††Lead Author ABSTRACT Loss of stem cell self-renewal may underpin aging. Here, we combined single cell profiling, deep-learning, mathematical modelling and in vivo functional studies to explore how hematopoietic stem cell (HSC) division patterns evolve with age. We trained an artificial neural network (ANN) to accurately identify cell types in the hematopoietic hierarchy and predict their age from their gene expression patterns.