Professor Ben MacArthur

Professor of Applied Mathematics

Related links: Personal homepage

Ben MacArthur is a Professor within Mathematical Sciences at the University of Southampton.

Current position:

Professor in Mathematics at the Life Science Interface, Schools of Mathematics and Medicine

Previous positions:

Postdoctoral fellow Mount Sinai School of Medicine, New York, USA, 2008-2010

Postdoctoral fellow, Medicine, University of Southampton, 2003-2008

Research

Publications

Teaching

Contact

Research interests

Research:

I am interested in applying mathematics methods to problems in cell and molecular biology, including:

Mathematical and computational modelling of cell fate
Analysis of the structure and function of biological regulatory networks
High throughput data analysis and bioinformatics

Research group

Applied Mathematics and Theoretical Physics

Affiliate research groups

Computational Applied Mathematics, Mathematics in Biology and Medicine

Research project(s)

Molecular and Cellular Biology

Physiology and Medicine

Stochastic Processes in Biology

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Articles

MacArthur, B. D. (2018). Connected development. Nature Physics, 1-2. DOI: 10.1038/s41567-018-0236-3
Mossotto, E., Ashton, J. J., Coelho, T., Beattie, R. M., Macarthur, B. D., & Ennis, S. (2017). Classification of paediatric inflammatory bowel disease using machine learning. Scientific Reports, 7(1). DOI: 10.1038/s41598-017-02606-2
Smith, R., & Macarthur, B. (2017). Information-theoretic approaches to understanding stem cell variability. Current Stem Cell Reports, 3(3), 225-231. DOI: 10.1007/s40778-017-0093-5
Smith, R., Stumpf, P., Ridden, S., Sim, A., Filippi, S., Harrington, H., & Macarthur, B. (2017). Nanog fluctuations in embryonic stem cells highlight the problem of measurement in cell biology. Biophysical Journal, 112(12), 2641–2652. DOI: 10.1016/j.bpj.2017.05.005
Kontogeorgaki, S., Sanchez Garcia, R., Zygalakis, K., Ewing, R., & Macarthur, B. (2017). Noise-processing by signaling networks. Scientific Reports, 7, [532]. DOI: 10.1038/s41598-017-00659-x
Stumpf, P. S., Smith, R. C. G., Lenz, M., Schuppert, A. A., Muller, F-J., Babtie, A., ... Macarthur, B. D. (2017). Stem cell differentiation as a non-Markov stochastic process. Cell Systems, 5(3). DOI: 10.1016/j.cels.2017.08.009
Hosokawa, K., Macarthur, B., Matsumoto Ikushima, Y., Toyama, H., Masuhiro, Y., Hanazawa, S., ... Arai, F. (2017). The telomere binding protein Pot1 maintains haematopoietic stem cell activity with age. Nature Communications, 8, [804]. DOI: 10.1038/s41467-017-00935-4
Lewis, M. C., MacArthur, B. D., Tare, R., Oreffo, R. O. C., & Please, C. P. (2016). Extracellular matrix deposition in engineered micromass cartilage pellet cultures: measurements and modelling. PLoS ONE, 11(2), 1-12. DOI: 10.1371/journal.pone.0147302
Bernitz, J., Kim, H. S., Macarthur, B., Sieburg, H., & Moore, K. (2016). Hematopoietic stem cells count and remember self-renewal divisions. Cell, 167(5), 1296-1309. DOI: 10.1016/j.cell.2016.10.022
Yamamoto, K., Ishii, M., Hirokawa, F., Macarthur, B., Nakamura, A., Haeno, H., & Uchiyama, K. (2016). Prediction of postoperative liver regeneration from clinical information using a data-led mathematical model. Scientific Reports, 6(34214), 1-9. DOI: 10.1038/srep34214
Stumpf, P., Ewing, R., & Macarthur, B. D. (2016). Single-cell pluripotency regulatory networks. Proteomics, 16(17), 2303-2312. DOI: 10.1002/pmic.201500528
Ridden, S., Chang, H., Zygalakis, K., & MacArthur, B. (2015). Entropy, ergodicity, and stem cell multipotency. Physical Review Letters, 115, [208103]. DOI: 10.1103/PhysRevLett.115.208103
Smyth, C., Spakulova, I., Cotton-Barratt, O., Rafiq, S., Tapper, W., Upstill-Goddard, R., ... MacArthur, B. D. (2015). Quantifying the cumulative effect of low-penetrance genetic variants on breast cancer risk. Molecular Genetics & Genomic Medicine, 3(3), 182-188. DOI: 10.1002/mgg3.129
Papatsenko, D., Darr, H., Kulakovskiy, I., Waghray, A., Makeev, V., MacArthur, B., & Lemischka, I. (2015). Single cell analyses of ES cells reveal alternative pluripotent cell states and molecular mechanisms that control self-renewal. Stem Cell Reports, 5(2), 207-220. DOI: 10.1016/j.stemcr.2015.07.004
MacArthur, B. D. (2014). Collective dynamics of stem cell populations. Proceedings of the National Academy of Sciences, 111(10), 3653-3654. DOI: 10.1073/pnas.1401030111
Schuldt, B. M., Guhr, A., Lenz, M., Kobold, S., Macarthur, B., Schuppert, A. A., ... Müller, F-J. (2013). Power-Laws and the Use of Pluripotent Stem Cell Lines. PLoS ONE. DOI: 10.1371/journal.pone.0052068
MacArthur, B. D., & Lemischka, I. R. (2013). Statistical mechanics of pluripotency. Cell, 154(3), 484-489. DOI: 10.1016/j.cell.2013.07.024
MacArthur, B. D., Sevilla, A., Lenz, M., Müller, F-J., Schuldt, B. M., Schuppert, A. A., ... Lemischka, I. R. (2012). Nanog-dependent feedback loops regulate murine embryonic stem cell heterogeneity. Nature Cell Biology, 14, 1139-1147. DOI: 10.1038/ncb2603
MacArthur, B. D., Lachmann, A., Lemischka, I. R., & Ma'ayan, A. (2010). GATE: software for the analysis and visualization of high-dimensional time series expression data. Bioinformatics, 26(1), 143-144. DOI: 10.1093/bioinformatics/btp628
Méndez-Ferrer, S., Michurina, T. V., Ferraro, F., Mazloom, A. R., MacArthur, B. D., Lira, S. A., ... Frenette, P. S. (2010). Mesenchymal and haematopoietic stem cells form a unique bone marrow niche. Nature, 466(7308), 829-834. DOI: 10.1038/nature09262
MacArthur, B. D., Sanchez-Garcia, R., & Ma’ayan, A. (2010). Microdynamics and criticality of adaptive regulatory networks. Physical Review Letters, 104(16), 168701-[4pp]. DOI: 10.1103/PhysRevLett.104.168701
MacArthur, B. D., & Sanchez-Garcia, R. (2009). Spectral characteristics of network redundancy. Physical Review E, 80(2), 026117-[10pp]. DOI: 10.1103/PhysRevE.80.026117
MacArthur, B. D., Ma'ayan, A., & Lemischka, I. R. (2009). Systems biology of stem cell fate and cellular reprogramming. Nature Reviews Molecular Cell Biology, 10(10), 672-681. DOI: 10.1038/nrm2766
Lu, R., Markowetz, F., Unwin, R. D., Leek, J. T., Airoldi, E. M., MacArthur, B. D., ... Lemischka, I. R. (2009). Systems-level dynamic analyses of fate change in murine embryonic stem cells. Nature, 462(7271), 358-362. DOI: 10.1038/nature08575
MacArthur, B. D., Tare, R. S., Murawski, K., & Oreffo, R. O. C. (2008). Identification of candidate regulators of multipotency in human skeletal progenitor cells. Biochemical and Biophysical Research Communications, 377(1), 68-72. DOI: 10.1016/j.bbrc.2008.09.084
Xiao, Y., MacArthur, B. D., Wang, H., Xiong, M., & Wang, W. (2008). Network quotients: structural skeletons of complex systems. Physical Review E, 78(4), 046102-[7pp]. DOI: 10.1103/PhysRevE.78.046102
MacArthur, B. D., Please, C. P., & Oreffo, R. O. C. (2008). Stochasticity and the molecular mechanisms of induced pluripotency. PLoS ONE, 3(8), e3086. DOI: 10.1371/journal.pone.0003086
MacArthur, B. D., Sanchez-Garcia, R. J., & Anderson, J. W. (2008). Symmetry in complex networks. Discrete Applied Mathematics, 156(18), 3525-3531. DOI: 10.1016/j.dam.2008.04.008
MacArthur, B. D., Ma'ayan, A., & Lemischka, I. R. (2008). Toward stem cell systems biology: from molecules to networks and landscapes. Cold Spring Harbor Symposia on Quantitative Biology, 73, 211-215. DOI: 10.1101/sqb.2008.73.061
MacArthur, B. D., Tare, R. S., Please, C. P., Prescott, P., & Oreffo, R. C. (2006). A non-invasive method for in situ quantification of subpopulation behaviour in mixed cell culture. Journal of the Royal Society Interface, 3(6), 63-69. DOI: 10.1098/rsif.2005.0080
MacArthur, B. D., Please, C. P., & Pettet, G. J. (2005). A mathematical model of dynamic glioma-host interactions: receptor-mediated invasion and local proteolysis. Mathematical Medicine and Biology, 22(3), 247-264. DOI: 10.1093/imammb/dqi010
MacArthur, B. D., & Oreffo, R. O. C. (2005). Bridging the gap. Nature, 433(7021), 19-19. DOI: 10.1038/433019a
Lewis, M. C., MacArthur, B. D., Malda, J., Pettet, G., & Please, C. P. (2005). Heterogeneous proliferation within engineered cartilaginous tissue: the role of oxygen tension. Biotechnology and Bioengineering, 91(5), 607-615. DOI: 10.1002/bit.20508
MacArthur, B. D., Please, C. P., Taylor, M., & Oreffo, R. O. C. (2004). Mathematical modelling of skeletal repair. Biochemical and Biophysical Research Communications, 313(4), 825-833. DOI: 10.1016/j.bbrc.2003.11.171
MacArthur, B. D., & Please, C. P. (2004). Residual stress generation and necrosis formation in multi-cell tumour spheroids. Journal of Mathematical Biology, 49(6), 537-552. DOI: 10.1007/s00285-004-0265-7

Book

Ma'ayan, A., & MacArthur, B. D. (Eds.) (2012). New frontiers of network analysis in systems biology. Dordrecht, NL: Springer.

Book Chapters

Stumpf, P., & Macarthur, B. (2014). Visualization and Clustering of High-Dimensional Transcriptome Data Using GATE. In Stem Cell Transcriptional Networks: Methods and Protocols (Vol. 1150, pp. 131-139). (Methods in Molecular Biology). New York: Springer. DOI: 10.1007/978-1-4939-0512-6_7
Macarthur, B., & Oreffo, R. (2013). From mathematical models to clinical reality. In Principles of Tissue Engineering Elsevier. DOI: http://dx.doi.org/10.1016/B978-0-12-398358-9.00003-3
Ridden, S. J., & MacArthur, B. D. (2012). Cell fate regulatory networks. In A. Ma'ayan, & B. D. MacArthur (Eds.), New Frontiers of Network Analysis in Systems Biology (pp. 15-29). Dordrecht, NL: Springer. DOI: 10.1007/978-94-007-4330-4_2

Letter/Editorial

Greulich, P., & MacArthur, B. (2017). Systems biology of development and differentiation: Editorial overview. Current Opinion in Systems Biology, 5, vi-viii. DOI: 10.1016/j.coisb.2017.10.001

Thesis

MacArthur, B. D. (2002). Mathematical modelling of malignant growth and invasion

MATH6140 Structure and Dynamics of Networks

Professor Ben MacArthur
Building 54 Mathematical Sciences University of Southampton Highfield Southampton SO17 1BJ

Room Number: 85/Level 3

Professor Ben MacArthur's personal home page

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