Staff profile

• Systems biology

• Durham Centre for Crop Improvement Technology
• Molecular Plant Sciences

Chapter in book

• Mehdi, S., Mudge, A., Rowe, J., Liu, J., Topping, J.F. & Lindsey, K. (2016). The POLARIS Peptide: Role in Hormone Signalling and Root Growth. In Annual Plant Reviews: Peptide Signals in Plants. Huffaker, A. & Pearce, G. Wiley-Blackwell. in press.
• Lindsey, K., Mehdi, S., Casson, S.A., Mudge, A.J., Topping, J.F. & Liu, J. (2013). POLARIS. In The Handbook of Biologically Active Peptides, 2nd Edition. Kastin, A.J. Academic Press. 40-45.

Journal Article

• Hashem, A.M., Moore, S., Chen, S., Hu, C., Zhao, Q., IE Elasawi, I.E., Feng, Y., Topping, J.F., Liu, J., Lindsey, K. & Chen, C. (2021). Putrescine depletion affects Arabidopsis root meristem size by modulating auxin and cytokinin signaling and ROS accumulation. International Journal of Molecular Sciences 22(8): 4094.
• Jackson, S.E., Vernon, I., Liu, J. & Lindsey, K. (2020). Understanding hormonal crosstalk in Arabidopsis root development via emulation and history matching. Statistical Applications in Genetics and Molecular Biology 19(2): 20180053.
• Liu, Junli, Lenzoni, Gioia & Knight, Marc R. (2020). Design principles for decoding calcium signals to generate specific gene expression via transcription. Plant Physiology 182(4): 1743-1761.
• Vernon, I., Liu, J., Goldstein, M., Rowe, J., Topping, J. & Lindsey, K. (2018). Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions. BMC Systems Biology 12: 1.
• Lenzoni, G., Liu, J. & Knight, M.R. (2018). Predicting plant immunity gene expression by identifying the decoding mechanism of calcium signatures. New Phytologist 217(4): 1598-1609.
• Liu, J., Moore, S., Chen, C. & Lindsey, K. (2017). Crosstalk complexities between auxin, cytokinin and ethylene in Arabidopsis root development: from experiments to systems modelling, and back again. Molecular Plant 10(12): 1480-1496.
• Liu, J., Moore, S. & Lindsey, K. (2017). Modelling Plant Cell Growth. eLS 1-7.
• Moore, S., Liu, J., Zhang, X. & Lindsey, K. (2017). A recovery principle provides insight into auxin pattern control in the Arabidopsis root. Scientific Reports 7: 43004.
• Rowe, J., Topping, J.F., Liu, J. & Lindsey, K. (2016). Abscisic acid regulates root growth under osmotic stress conditions via an interacting hormonal network with cytokinin, ethylene and auxin. New Phytologist 211(1): 225-239.
• Moore, S., Zhang, X., Liu, J. & Lindsey, K. (2015). Modelling plant hormone gradients. eLS 1-10.
• Liu, J., Whalley, H.J. & Knight, M.R. (2015). Combining modelling and experimental approaches to explain how calcium signatures are decoded by calmodulin-binding transcription activators (CAMTAs) to produce specific gene expression responses. New Phytologist 208(1): 174-187.
• Moore, S., Zhang, X., Mudge, A., Rowe, J., Topping, J., Liu, J. & Lindsey, K. (2015). Spatiotemporal modelling of hormonal crosstalk explains the level and patterning of hormones and gene expression in Arabidopsis thaliana wildtype and mutant roots. New Phytologist 207(4): 1110-1122.
• Moore, S., Zhang, X., Liu, J. & Lindsey, K. (2015). Some fundamental aspects of modelling auxin patterning in the context of auxin-ethylene-cytokinin crosstalk. Plant Signaling and Behavior 10(10): e1056424.
• Liu, J. & Hussey, P.J. (2014). Dissecting the regulation of pollen tube growth by modeling the interplay of hydrodynamics, cell wall and ion dynamics. Frontiers in Plant Science 5: 392.
• Liu, Junli, Lindsey, Keith & Hussey, Patrick J. (2014). Elucidating the regulation of complex signalling systems in plant cells. Biochemical Society Transactions 42(1): 219-223.
• Liu, J., Rowe, J. & Lindsey, K. (2014). Hormonal crosstalk for root development: a combined experimental and modeling perspective. Frontiers in Plant Sciences 5: 116.
• Liu, J.L., Mehdi, S., Topping, J., Friml, J. & Lindsey, K. (2013). Interaction of PLS and PIN and hormonal crosstalk in Arabidopsis root development. Frontiers in Plant Science: Frontiers in Plant Cell Biology 4: 75.
• Liu, J.L., Knight, H., Hurst, C.H. & Knight, M.R. (2012). Modelling and experimental analysis of the role of interacting cytosolic and vacuolar pools in shaping low temperature calcium signatures in plant cells. Molecular BioSystems 2012(8): 2205-2220.
• Liu, J.L. & Hussey, P.J. (2011). Towards the creation of a systems tip growth model for a pollen tube. Plant Signaling and Behavior 6(4): 520-522.
• Liu, J., Mehdi, S., Topping, J., Tarkowski, P. & Lindsey, K. (2010). Modelling and experimental analysis of hormonal crosstalk in Arabidopsis. Molecular Systems Biology 6(1): 373.
• Liu, Junli, Grieson, Claire S., Webb, Alex A. R. & Hussey, Patrick J. (2010). Modelling dynamic plant cells. CURRENT OPINION IN PLANT BIOLOGY 13(6): 744-749.
• Liu, J.L., Piette, B.M.A.G., Deeks, M.J., Franklin-Tong, V.E. & Hussey, P.J. (2010). A Compartmental Model Analysis of Integrative and Self-Regulatory Ion Dynamics in Pollen Tube Growth. PLoS One 5(10): e13157.
• Liu, J.L., Brazier-Hicks, M. & Edwards, R. (2009). A kinetic model for the metabolism of the herbicide safener fenclorim in Arabidopsis thaliana. Biophysical Chemistry 143(1-2): 85-94.
• Piette, B.M.A.G., Liu, J., Peeters, K., Smertenko, A., Hawkins, T., Deeks, M., Quinlan, R., Zakrzewski, W.J. & Hussey, P.J. (2009). A Thermodynamic Model of Microtubule Assembly and Disassembly. PLoS ONE 4(8): e6378.
• Baxter, CJ, Redestig, H, Schauer, N, Repsilber, D, Patil, KR, Nielsen, J, Selbig, J, Liu, JL, Fernie, AR & Sweetlove, LJ (2007). The metabolic response of heterotrophic Arabidopsis cells to oxidative stress. Plant Physiology 143(1): 312-325.
• Baxter, CJ, Liu, JL, Fernie, AR & Sweetlove, LJ (2007). Determination of metabolic fluxes in a non-steady-state system. Phytochemistry 68(16-18): 2313-2319.
• Liu, JL (2006). Dissipation and maintenance of stable states in an enzymatic system: Analysis and simulation. Biophysical Chemistry 120(3): 207-214.
• Liu, JL (2005). Kinetic constraints for formation of steady states in biochemical networks. Biophysical Journal 88(5): 3212-3223.
• Liu, JL, Crawford, JW & Leontiou, KI (2005). Collapse of single stable states via a fractal attraction basin: analysis of a representative metabolic network. Proceedings Of The Royal Society A: Mathematical Physical and Engineering Sciences 461(2060): 2327-2338.
• Stoleriu, I, Davidson, FA & Liu, JL (2005). Effects of periodic input on the quasi-steady state assumptions for enzyme-catalysed reactions. Journal Of Mathematical Biology 50(2): 115-132.
• Roessner-Tunali, U, Liu, JL, Leisse, A, Balbo, I, Perez-Melis, A, Willmitzer, L & Fernie, AR (2004). Kinetics of labelling of organic and amino acids in potato tubers by gas chromatography-mass spectrometry following incubation in 13C labelled isotopes. Plant Journal 39(4): 668-679.
• Stoleriu, I, Davidson, FA & Liu, JL (2004). Quasi-steady state assumptions for non-isolated enzyme-catalysed reactions. Journal Of Mathematical Biology 48(1): 82-104.
• Liu, JL & Marshall, DF (2003). Sufficient conditions for coordination of coupled nonlinear biochemicalsystems: Analysis of a simple, representative example. Journal Of Biological Systems 11(3): 275-291.
• Davidson, FA & Liu, JL (2002). Global stability of the attracting set of an enzyme-catalysed reactionsystem. Mathematical And Computer Modelling 35(13): 1467-1481.
• Liu, JL (2002). State selection in coupled identical biochemical systems withcoexisting stable states. Biosystems 65(1): 49-60.
• Marion, G, Mao, XR, Renshaw, E & Liu, JL (2002). Spatial heterogeneity and the stability of reaction states inautocatalysis. Physical Review E 66(5): 9.
• Peksel, A, Torres, NV, Liu, J, Juneau, G & Kubicek, CP (2002). C-13-NMR analysis of glucose metabolism during citric acid productionby Aspergillus niger. Applied Microbiology And Biotechnology 58(2): 157-163.
• Davidson, FA, Xu, R & Liu, J (2002). Existence and uniqueness of limit cycles in an enzyme-catalysedreaction system. Applied Mathematics And Computation 127(2-3): 165-179.
• Liu, JL (2001). Enhancement and restriction of system coordination by interaction ofpathways. Journal Of Biological Systems 9(3): 169-186.
• Liu, JL (2000). Sufficient conditions for coordination of a forced biochemical systemwith the interplay of activation and inhibition. Journal Of Biological Systems 8(3): 237-253.
• Liu, JL & Crawford, JW (2000). Sufficient conditions for coordination of a nonlinear biochemicalsystem under external forcing. Journal Of Physical Chemistry B 104(12): 2623-2629.
• Liu, JL (1999). Coordination restriction of enzyme-catalysed reaction systems asnonlinear dynamical systems. Proceedings Of The Royal Society Of London Series A-mathematical Physical And Engineering Sciences 455(1981): 285-298.
• Liu, JL (1999). Dependence of flux distribution and system coordination on dynamicalstates for biochemical systems with multiple coexisting states. Journal Of Biological Systems 7(1): 67-84.
• Liu, JL & Crawford, JW (1998). Stability of an autocatalytic biochemical system in the presence ofnoise perturbations. Ima Journal Of Mathematics Applied In Medicine And Biology 15(4): 339-350.
• Liu, JL & Crawford, JW (1997). Transitions and new dynamical states induced by noise in a multiplyregulated biochemical system. Biophysical Chemistry 69(2-3): 97-106.
• Liu, JL & Crawford, JW (1997). Stability of an autocatalytic system under noise perturbations and itsdependence on the basin of attraction. Proceedings Of The Royal Society Of London Series A-mathematical Physical And Engineering Sciences 453(1961): 1195-1203.
• Liu, JL, Crawford, JW, Viola, R & Goodman, B (1997). Prospects for advancing the understanding of complex biochemical systems. Plant Molecular Biology 33(4): 573-581.