Radboud University of Nijmegen
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Journal Editors at Radboud University of Nijmegen
Reviewers from Radboud University of Nijmegen
The main focus of my research is the impact of environmental drivers on spatial population dynamics. I want to understand how ecological and evolutionary processes at the individual level integrate and scale-up to population dynamics. I am interested in ecological frameworks and models that can augment the scientific underpinning of conservation, harvest and control management.
Recurring chromosomal abnormalities have been identified in a variety of cancers and are frequently associated with hematological malignancies such as acute myeloid leukemia (AML). In addition to transcriptional activation of proto-oncogenes these cytogenetic changes often cause gene fusions leading to expression of chimeric oncofusion proteins. Our main research goal is to unravel the role of these oncofusion proteins in carcinogenesis. Our aim is to identify the binding regions, the transcriptional consequences and epigenetic features associated with oncofusion protein expression. Next-generation sequencing and high-resolution transcription factor and epigenomic profiling are being used to identify oncofusion protein target sites which are subsequently characterized structurally as well as functionally in relation to the etiology of acute myeloid leukemia using both molecular as well as bioinformatic tools. These studies contribute to our understanding of both normal and aberrant hematopoietic development.
I am an ecologist with broad interests in spatial ecology, macroecology, species-habitat relationships, movement ecology, niche partitioning in co-occurring species and, more recently, on plant-animal interactions. I am interested in the factors that determine species distributions and species abundance, with an emphasis on the effect of anthropogenic pressures such as road development, land use change and overhunting, and how these may drive local populations or species to extinction.
Perception and decision-making are not automatic processes, but strongly shaped by internal brain states, which incorporate our goals, expectations, and knowledge about the world. The mechanisms by which these “top-down factors” affect perception, cognition, and behavior are still largely unknown. Where do the neuronal top-down signals come from? How do they change communication between sensory and decision-related brain regions? And how do these factors affect our perception and decision-making? These questions are the focus of investigation of the Prediction & Attention lab. We use a combination of behavioural and neuroimaging methods (MEG, fMRI, TMS) in healthy volunteers and clinical populations to examine how percepts and decisions are shaped by what we expect (prediction) and deem relevant (attention).