| Grant Robertson |
| Tue 09 Oct 2018, 11:00 - 12:00 |
| IF 4.31/4.33 |
If you have a question about this talk, please contact: Gareth Beedham (gbeedham)
Community detection in the synaptic proteome
The human synaptic proteome is a complex collection of interacting proteins involved in signalling between nerve cells. Genetic mutations in the synaptic proteome are responsible for over 100 brain disease.1 Synaptic interactions can be represented as a network and previous work has shown differential enrichment of network communities for synaptic functions and neuropsychiatric disorders.2
The Armstrong and Simpson labs have recently completed a large scale network map of the synaptic proteome integrating all primary proteomic experiments between 2000-2017.
I will discuss community detection in this model of the synaptic proteome and how this can be used to understand the results of large scale genetic studies of complex traits and neuropsychiatric disorders.
1 Grant SGN. Synaptopathies: diseases of the synaptome. Curr Opin Neurobiol 2012; 22: 522–529.
2 McLean C, He X, Simpson IT, Armstrong JD. Improved Functional Enrichment Analysis of Biological Networks using Scalable Modularity Based Clustering. J Proteomics Bioinform 2016; 9: 9–18.