The is looking for a PhD candidate to discover targets and pathways in molecular networks.
You will investigate transcriptomic and proteomic networks in neurons, and how these networks relate to experience-dependent plasticity, the changes in neuronal and network structure upon sensory input.
This includes developing statistical methods for molecular target identification, and comparison of connectivity in molecular networks to connectivity in cellular networks.
In the nervous system, early stages of information processing are performed by primary sensory pathways, where incoming sensory information is encoded topographically to generate neural representations of the sensory world in an activity-dependent manner.
These sensory maps are products of anatomically and functionally connected neurons. They are formed by spatiotemporally correlated activation of individual neurons and shaped by sensory and perceptual experience through a process called experience-dependent plasticity.
Sensory neuronal plasticity is believed to have a fundamental role in determining where and how information is processed as the aforementioned maps delineate the sensory circuits that represent the environment.
Although the plasticity of these maps is critical for the proper development of neural circuits during postnatal brain development, neural plasticity is also needed in adulthood to ensure adaptation of the brain to ever-changing sensory and perceptual environments.
However, the neural circuits and molecular mechanisms responsible for map plasticity are still largely unknown. Thanks to the developments in high-throughput mapping of the transcriptome and proteome, we can now have an unprecedented look at the overwhelming majority of the molecular players in play as activity shapes network and animal behaviour.
To address this, in you will take advantage of our recent transcriptomic (RNAseq) and proteomic (mass spectroscopy) mapping of the somatosensory cortex in single column and laminae (data already collected) in animals which had all whiskers intact, or in animals that were deprived of somatosensory (whisker) input for 2 weeks.
You will develop statistical methods for molecular target identification based on causal inference approaches. You will focus on single-cell transcriptomics from the same region of the brain to map the correlated changes across the transcriptome using information metric analysis.
The outcome is a directed network whose structure can be directly compared to the cellular network connectivity. This comparison of the neighbourhood will help shed light on the common rules of network connectivity across scales.
Finally, you will develop methods to visualise these networks as topological networks. The molecular tools required for targeted modulation of the genes of interest will be produced in the Viral Gene Core facility of the Department of Neurophysiology at Radboud University.
Please note that the EU Mobility Rule will be applied : PhD candidates must not have resided or carried out their main activity (work, studies, etc.
in the Netherlands for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention, are not taken into account.