Dept. of Systems Biology and Bioinformatics is a part of the University of Rostock, Germany Universität Rostock

Prof. Mukhtar Ullah

Image: Prof. Mukhtar Ullah

Research Interest

Stochastic Dynamics of Stem Cell Populations
"I am interested in cell populations in the stem cell niche."

With their ability to renew and divide into different specialized cell types, stem cells play a key role in the maintenance and repair of adult organisms.

The question we focus on is: How does the proportion of populations of differentiated cells relative to stem cells relates to the functioning of tissue?
Due to intrinsic cell-cell variation and environmental effects, cellular population dynamics have an unavoidable uncertainty (noise). To relate tissue fate to the noisy cell population dynamics, a modelling framework is needed in which biological questions of interest can be cast in terms of probabilities.
Most works in the literature on stem cells either ignore noise completely (by using deterministic approaches) or rely on detailed stochastic simulations of each cell. Our aim is to incorporate noise and yet keep modelling tractable to allow room for intuition.
Methods from large deviation theory will be employed in the Langevin framework so that questions about specific tissue fates can be cast in terms of probabilities of specific trajectories. Traditional approximations based on mean and variance cannot be used because of inherent bistabilities of stem cell populations.

Academic Background

2009 - 2013   
PostDoc, Systems Biology and Bioinformatics
University of Rostock, Rostock/Germany
2003 - 2009    
Doctor of Engineering in Systems Biology, Systems Biology and Bioinformatics University of Rostock, Rostock/Germany
2001 - 2002    
Master of Science in Advanced Control and Systems Engineering
University of Manchester, Manchester/United Kingdom
1994 - 1999     
Bachelor of Science in Electrical Engineering
NWFP University of Engineering and Technology Peshawar, Peshawar/Pakistan

Publications

Ullah M, Wolkenhauer O
Stochastic Approaches for Systems Biology

Springer 2011. ISBN-10: 1461404770

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Ullah M, Wolkenhauer O (2009)
Stochastic approaches in systems biology

Wiley Interdisciplinary Reviews: Systems Biology and Medicine 4: 385-397
access

Ullah M, Wolkenhauer O (2009)
Investigating the two-moment characterisation of subcellular biochemical networks

Journal of Theoretical Biology 3: 340-352
access

additional files

Ullah M, Wolkenhauer O (2007)
Family tree of Markov models in systems biology

IET Systems Biology 1: 247-254
access

Ullah M, Schmidt H, Cho KH, Wolkenhauer O (2006)
Deterministic modelling and stochastic simulation of biochemical pathways using MATLAB

IEE Proc Systems Biology 2: 53-60

access

additional files

Wolkenhauer O, Ullah M
All Models are Wrong

in: Systems Biology - Philosophical Foundations; Boogard F, Bruggeman F, Hofmeyr J, Westerhoff H (eds.); Elsevier 2006. ISBN 10: 0444520856

Wolkenhauer O, Ullah M, Wellstead P, Cho KH (2005)
The dynamic systems approach to control and regulation of intracellular networks

FEBS Letters 579: 1846-1853
access

Wolkenhauer O, Sreenath S, Wellstead P, Ullah M, Cho KH (2005)
A systems- and signal-oriented approach to intracellular dynamics

Biochemical Society Transactions 3: 507-515
no access

Wolkenhauer O, Ullah M, Kolch W, Cho KH (2004)
Modeling and simulation of intracellular dynamics: choosing an appropriate framework

IEEE Transactions on NanoBioScience 3: 200-207
open access

additional files

Contact Details

Collaborators & Partners

University of Rostock
Rostock/Germany