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Lateral root morphogenesis is dependent on the mechanical properties of the overlaying tissues (2013)
Journal Article
Lucas, M., Kenobi, K., Von Wangenheim, D., Voß, U., Swarup, K., De Smet, I., Van Damme, D., Lawrence, T., Péret, B., Moscardi, E., Barbeau, D., Godin, C., Salt, D., Guyomarc'h, S., Stelzer, E. H., Maizel, A., Laplaze, L., & Bennett, M. J. (2013). Lateral root morphogenesis is dependent on the mechanical properties of the overlaying tissues. Proceedings of the National Academy of Sciences, 110(13), 5229-5234. https://doi.org/10.1073/pnas.1210807110

In Arabidopsis, lateral root primordia (LRPs) originate from pericycle cells located deep within the parental root and have to emerge through endodermal, cortical, and epidermal tissues. These overlaying tissues place biomechanical constraints on the... Read More about Lateral root morphogenesis is dependent on the mechanical properties of the overlaying tissues.

Biosensors for phytohormone quantification: challenges, solutions, and opportunities (2013)
Journal Article
Wells, D. M., Laplaze, L., Bennett, M. J., & Vernoux, T. (2013). Biosensors for phytohormone quantification: challenges, solutions, and opportunities. Trends in Plant Science, 18(5), 244-249. https://doi.org/10.1016/j.tplants.2012.12.005

Fluorescent reporters are valuable tools for plant science research, particularly as sensors to monitor biological signals and developmental processes. Such biosensors are particularly useful to monitor the spatial and temporal distribution of small... Read More about Biosensors for phytohormone quantification: challenges, solutions, and opportunities.

A novel sensor to map auxin response and distribution at high spatio-temporal resolution (2012)
Journal Article
Brunoud, G., Wells, D. M., Oliva, M., Larrieu, A., Mirabet, V., Burrow, A. H., Beeckman, T., Kepinski, S., Traas, J., Bennett, M. J., & Vernoux, T. (2012). A novel sensor to map auxin response and distribution at high spatio-temporal resolution. Nature, 482(7383), 103-106. https://doi.org/10.1038/nature10791

Auxin is a key plant morphogenetic signal but tools to analyse dynamically its distribution and signalling during development are still limited. Auxin perception directly triggers the degradation of Aux/IAA repressor proteins. Here we describe a nove... Read More about A novel sensor to map auxin response and distribution at high spatio-temporal resolution.

The auxin signalling network translates dynamic input into robust patterning at the shoot apex (2011)
Journal Article
Vernoux, T., Brunoud, G., Farcot, E., Morin, V., Van Den Daele, H., Legrand, J., Oliva, M., Das, P., Larrieu, A., Wells, D., Guédon, Y., Armitage, L., Picard, F., Guyomarc'H, S., Cellier, C., Parry, G., Koumproglou, R., Doonan, J. H., Estelle, M., Godin, C., …Traas, J. (2011). The auxin signalling network translates dynamic input into robust patterning at the shoot apex. Molecular Systems Biology, 7(1), Article 508. https://doi.org/10.1038/msb.2011.39

The plant hormone auxin is thought to provide positional information for patterning during development. It is still unclear, however, precisely how auxin is distributed across tissues and how the hormone is sensed in space and time. The control of ge... Read More about The auxin signalling network translates dynamic input into robust patterning at the shoot apex.

Stochastic and deterministic multiscale models for systems biology: An auxin-transport case study (2010)
Journal Article
Twycross, J., Band, L. R., Bennett, M. J., King, J. R., & Krasnogor, N. (2010). Stochastic and deterministic multiscale models for systems biology: An auxin-transport case study. BMC Systems Biology, 4, https://doi.org/10.1186/1752-0509-4-34

Background: Stochastic and asymptotic methods are powerful tools in developing multiscale systems biology models; however, little has been done in this context to compare the efficacy of these methods. The majority of current systems biology modellin... Read More about Stochastic and deterministic multiscale models for systems biology: An auxin-transport case study.

Modular assembly of cell systems biology models using P systems (2009)
Presentation / Conference Contribution
Romero-Campero, F. J., Twycross, J., Camara, M., Bennett, M., Gheorghe, M., & Krasnogor, N. (2008, June). Modular assembly of cell systems biology models using P systems. Presented at Prague International Workshop on Membrane Computing, Prague, Czech Republic

In this paper we propose an extension of a systems/synthetic biology modelling framework based on P systems that explicitly includes modularity. Modularisation in cellular systems can be produced by chemical specificity, spatial localisation and/or t... Read More about Modular assembly of cell systems biology models using P systems.