CORBEL Service Pipelines
The biological and medical sciences RIs play a central, facilitating role in ground-breaking research: inter-disciplinary biomedical and translational research requires resources from multiple RIs such as biobank samples, imaging facilities, molecular screening centres or animal models.
CORBEL will establish a sustained foundation of collaborative scientific services for biomedical research in Europe, i.e. users will be supported throughout the execution of a scientific project from planning and grant applications through to the long-term sustainable management and exploitation of research data.
Below two different examples of service pipelines are illustrated. In principle, there is no limitation to combining different RIs in a service pipeline. It is of utmost importance that the planned research project is discussed with the RIs before it starts – only then it can be ensured that the subsequent access to the single RIs is feasible and can be performed timely.
In order to discuss your planned research with the RIs, please use the contacts provided in the
Example for a service pipeline in medical research:
This example addresses life scientists, who aim to relate genotype to phenotype. The illustrated service pipeline will empower users from different scientific domains to address main research topics such as systems and personalized medicine, cancer, neurodegenerative and inflammatory diseases, precision biotechnology and modern non-recombinant agriculture with high impact for translational research in health and biotech industries.
One of the greatest challenges in biomedical research is to predict disease risk and treatment outcomes for individuals, taking advantage of increasing genomic information. Personalized medicine aims to facilitate predictions about phenotypes of individuals (e.g. susceptibility to diseases or therapies), based on the analysis of complete genome sequences, functional genomic data, clinical assays and lifestyle parameters. Mathematical models of genotype-to-phenotype relations are generated by systems biologists to integrate genetic with molecular, physiological and imaging data. These models need to be available to researchers in biomedical areas handling biological samples or in vivo models, large data sets, screens, images and physiological data. Researchers in precision biotechnology fields (white, red, green and blue) can also benefit from the same type of model provision.
Example for a service pipeline in biological research:
Marine Metazoan Developmental Models for BioMedical research
This example illustrates how advanced understanding of biological mechanisms underlying disease is generated. Marine species have long proved powerful models for understanding many cellular phenomena including the gene regulatory networks underlying cellular and developmental transitions, fertilization, cell division, differentiation, stem cell biology, morphogenesis, regeneration, ageing and physiological responses. These animals are more accessible for experimentation compared to traditional animal model species with lesser ethical considerations.