- Dekkers, B., Willems, L., Bassel, G.W., van Bolderen-Veldkamp, R.P., Ligterink, W., Hilhorst, H.W.M., Bentsink L. Identification Of Reference Genes For RT-qPCR Expression Analysis In Arabidopsis And Tomato Seeds (2011) Plant Cell Physiol.. pcr113 first published online August 18, 2011 doi:10.1093/pcp/pcr113.

- Bassel, G.W., Glaab, E., Marquez, J., Holdsworth, M.J., Bacardit, J. (2011) Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Datasets. The Plant Cell, doi: 10.1105/tpc.111.088153.

A genome-wide network model generated using rule-based machine learning. Functional associations between genes are established by the collective ability to come together and form "rules" that accurately predict developmnetal outcome in seeds.

- Pearce, S.P., King, J.R., Holdsworth, M.J. (2011) Axisymmetric indentation of curved elastic membranes by a convex rigid indenter. International Journal of Non-Linear Mechanics, 46 (9) 1128-1138

- Bassel, G.W., Lan, H., Glaab, E., Gibbs, D.J., Gerjets, T., Krasnogor, N., Bonner, A.J., Holdsworth, M.J., Provart, N.J. (2011) Genome-wide network model capturing seed germination reveals coordinated regulation of plant cellular phase transitions PNAS (USA), 108 (23) 9709-9714

- Joosen, R.V.L., Ligterink, W., Dekkers, B.J.W., Hilhorst, H.W.M. (2011) Visualization of molecular processes associated with seed dormancy and germination using MapMan. Seed Science Research, DOI: 10.1017/S0960258510000449 Published online: 04 Feb 2011

- Weitbrecht K, Müller K, Leubner-Metzger G (2011) First off the mark: early seed germination. Journal of Experimental Botany, in press, doi:10.1093/jxb/err030

Darwin review about the early phase of seed germination

- Graeber K, Linkies A, Wood ATA; Leubner-Metzger G (2011) A guideline to family-wide comparative state-of-the-art quantitative RT-PCR analysis exemplified with a Brassicaceae cross-species seed germination case study. The Plant Cell, Advance Online Publication, doi:10.1105/tpc.111.084103

Developmental processes like seed germination are characterised by massive transcriptome changes. This study compares seed transcriptome datasets of different Brassicaceae to identify stable expressed reference genes for cross-species qRT-PCR normalisation. A workflow is presented for improving RNA quality, qRT-PCR performance, and normalisation when analysing expression changes across species.