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Published on: September 19, 2019
Heterogeneous run-and-tumble motion accounts for transient non-Gaussian super-diffusion in haematopoietic
Benjamin Partridge1, Sara Gonzalez Anton2,3, Reema Khorshed2
1Department of Bioengineering, Imperial College London, South Kensington Campus, London, United Kingdom.
Abstract:
Multi-potent progenitor (MPP) cells act as a key intermediary step between haematopoietic stem cells and the entirety of the mature blood cell system. Their eventual fate determination is thought to be achieved through migration in and out of spatially distinct niches. Here we first analyze statistically MPP cell trajectory data obtained from a series of long time-course 3D in vivo imaging experiments on irradiated mouse calvaria, and report that MPPs display transient super-diffusion with apparent non-Gaussian displacement distributions. Second, we explain these experimental findings using a run-and-tumble model of cell motion which incorporates the observed dynamical heterogeneity of the MPPs. Third, we use our model to extrapolate the dynamics to time-periods currently inaccessible experimentally, which enables us to quantitatively estimate the time and length scales at which super-diffusion transitions to Fickian diffusion. Our work sheds light on the potential importance of motility in early haematopoietic progenitor function.
Insights
Multi-potent progenitor (MPP) cells exhibit transient super-diffusion, a finding explained by a run-and-tumble motion model. This research estimates the transition from super-diffusion to Fickian diffusion, highlighting motility
Area of Science:
- Hematology
- Cell Biology
- Biophysics
Background:
- Multi-potent progenitor (MPP) cells are crucial intermediates linking hematopoietic stem cells to mature blood cells.
- MPP cell fate is influenced by migration between distinct spatial niches.
- Understanding MPP cell dynamics is key to comprehending early hematopoietic development.
Purpose of the Study:
- To statistically analyze MPP cell trajectory data from in vivo imaging.
- To model MPP cell motion and explain observed super-diffusion.
- To predict the transition from super-diffusion to Fickian diffusion at extended timescales.
Main Methods:
- Long time-course 3D in vivo imaging of MPP cells in irradiated mouse calvaria.
- Statistical analysis of cell trajectory data.
- Development and application of a run-and-tumble cell motion model.
Main Results:
- MPP cells exhibit transient super-diffusion with non-Gaussian displacement distributions.
- A run-and-tumble model successfully explains the observed heterogeneous MPP dynamics.
- Model extrapolation estimates the timescale for super-diffusion to transition to Fickian diffusion.
Conclusions:
- Cellular motility plays a significant role in the function of early hematopoietic progenitors.
- The run-and-tumble model provides a framework for understanding complex cell migration patterns.
- This study offers quantitative insights into the diffusion dynamics of MPPs.
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