Quantitative multivariate analysis of dynamic multicellular morphogenic trajectories.

Interrogating fundamental cell biology principles that govern tissue morphogenesis is critical to better understanding of developmental biology and engineering novel multicellular systems. Recently, functional micro-tissues derived from pluripotent embryonic stem cell (ESC) aggregates have provided novel platforms for experimental investigation; however elucidating the factors directing emergent spatial phenotypic patterns remains a significant challenge. Computational modelling techniques offer a unique complementary approach to probe mechanisms regulating morphogenic processes and provide a wealth of spatio-temporal data, but quantitative analysis of simulations and comparison to experimental data is extremely difficult.

Integrated brain diversification along the early neuraxes.

Brains develop under the influence of signaling centers that link major dorsal/ventral (DV) and anterior/posterior (AP) axes. Over ontogeny, these 'developmental neuraxes' progress from near global signaling gradients into more localized gene expression domains separated by molecular boundaries. Therefore, developmental changes along a neuraxis can have major consequences across the brain, or more precise effects on a specific structure, depending upon the time during ontogeny in which change occurs.

Brain diversity evolves via differences in patterning.

Differences in brain region size among species are thought to arise late in development via adaptive control over neurogenesis, as cells of previously patterned compartments proliferate, die, and/or differentiate into neurons. Here we investigate comparative brain development in ecologically distinct cichlid fishes from Lake Malawi and demonstrate that brains vary among recently evolved lineages because of early patterning. Divergence among rock-dwellers and sand-dwellers in the relative size of the telencephalon versus the thalamus is correlated with gene expression variation in a regulatory circuit (composed of six3, fezf2, shh, irx1b, and wnt1) known from model organisms to specify anterior-posterior (AP) brain polarity and position the shh-positive signaling boundary zona limitans intrathalamica (ZLI) in the forebrain.