Projects
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Programme: Plant Genomics
Public web page: Not specified
This project focuses on studies around brain disorders and ageing.
Programme: Genes, Environment and Chronic Diseases
Public web page: Not specified
Background: Long-term environmental exposure to metals leads to epigenetic changes and may increase risks to human health. The relationship between the type, timing and level of metal exposure and DNA methylation is not yet clear. The human epidemiologic and the toxicologic animal model studies provide strong evidence of metal exposure related DNA methylation changes, and, consequently alterations in gene expression, in metabolic, genetic and signal transduction pathways and their functions. ...
Programme: Genes, Environment and Chronic Diseases
Public web page: Not specified
Start date: 1st Sep 2021
Space radiation (IR) from Solar Particle Events (SPE) and Galactic Cosmic Rays (GCR), also known as high charge and energy (HZE) IR, is a primary risk associated with deep-space missions. There are limited animal and human studies on the risk of cardiovascular disease (CVD) development due to space-IR. The cardiac effects induced by space-type IR, specifically simplified GCR simulated (simGCRsim)-IR, are yet to be discovered. We hypothesized that gamma (γ) and simGCRsim IR-induced biological ...
Programme: Space Radiobiology
Public web page: Not specified
Start date: 1st Jul 2023
End date: 30th Jun 2027
Programme: Bioinformatics Tools for Analysis of Big Genomic Data
Public web page: Not specified
Programme: Bioinformatics Tools for Analysis of Big Genomic Data
Public web page: Not specified
The genomic information becomes functional after transcription and translation. Omics-data (e.g., transcriptomics, epigenetics, proteomics) are increasingly generated for vine and other cultivated plants to study functional genomics with impact for improving yield, quality, and resistance. However, many issues, related to, e.g., development, stress-response, and resistance are still understudied. This opens novel opportunities to close this gap by analyzing such datasets.
Programme: Vine Bioinformatics
Public web page: Not specified