| Alex Bird and Oksana Sorokina |
| Tue 14 May 2019, 11:00 - 12:00 |
| IF 4.31/4.33 |
If you have a question about this talk, please contact: Gareth Beedham (gbeedham)
Oksana Sorokina
Title: Regional diversity of postsynaptic proteome.
Abstract: Synapses are the specialised junctions between nerve cells and are present in vast numbers in the mammalian nervous system. Integrating published post synapse proteomic data reveals a stunningly complex picture with nearly 6000 proteins involved.
At the macroscopic level, brain architecture is characterised by regions with distinct functions. It is therefore of importance to ask if synapse proteomes differ between brain regions and whether any differences might be relevant to their function.
We analysed the postsynaptic proteome to a depth of 1173 proteins and revealed differential expression signatures for seven major brain regions. Integrating Molecular interaction networks (PPIs) of the post-synaptic proteome with protein expression data we found that the regional variability of protein complex composition strongly depends on the relative protein abundance, thereby providing the heterogeneity and unique biochemical signaling potential of each region.
Alex Bird
Title: Multi-task time series analysis applied to drug response modelling
Abstract: Time series models such as dynamical systems are frequently fitted to a cohort of data, ignoring variation between individual entities such as patients. In this work we demonstrate how these models may be personalised to an individual level while retaining statistical power, via use of multi-task learning (MTL). The modelling framework is demonstrated on a physiological drug response problem which results in improved predictive accuracy and uncertainty estimation over existing state-of-the-art models.