CircRTrain is led by a network of investigators, who share research interests but apply different approaches, model systems, disciplines, and disease areas, and maintain active collaborations with several companies.
Albrecht Bindereif’s group at the University of Giessen works on circRNA biogenesis, circRNA release in exosomes, and the use of circRNAs as disease biomarkers in the mammalian system. Within the ITN consortium, our projects address these questions: What are the factors and sequence requirements for circRNA processing and circRNP formation? Are circRNAs packaged in extracellular vesicles such as exosomes, and can specific circRNAs be used as biomarkers in human disease, with a focus on cardiovascular disease and human platelet biology?
The research activity of the Bozzoni group is mainly directed to the study of the biogenesis and function of non-coding RNAs with specific focus on the role that these molecules play during cell differentiation and how their deregulation leads to pathological alterations. Two major pathologies are currently under analysis in the lab, Duchenne Muscular Dystrophy (DMD) and Amyotrophic Lateral Sclerosis (ALS); for their study, animal and cellular model systems, as well as patient-derived human iPS, are available. Many different key biochemical and genetics methodologies for studying ncRNAs have been set up, including RIP, CLIP, ChRIP, RNA pull-down, FISH analysis, high content screening and advanced bioinformatics.
The Irimia lab is interested in understanding the roles that alternative splicing and other mechanisms of transcriptomic diversification play in vertebrate embryonic development, and how novel transcript variants have contributed to shape the unique vertebrate development and body plan during evolution.
The Kadener lab is interested in understanding how molecular processes in the brain determine behavior. For doing so, we study the circadian clock of Drosophila at the molecular, behavioral and neural level.
The Aarhus University partner has a strong expertise in identification, profiling, bioinformatics and biochemical characterisation of circRNA. They will contribute to the circRTrain with circRNA characterisation, single molecule in situ staining of cells and tissue and exploration of new functions of circRNA during neuronal development and human disease.
Qiagen Aarhus (QIAAR) has a solid track record of bringing scientific software to the market with commercial success. The company has a strong development team with extensive experience in developing highly advanced next generation sequencing analysis software. QIAAR provides custom solutions as well as integrated software platforms using a broad spectrum of IT technologies including high-performance computing and cloud deployment, and develops software under ISO 9001 audited and certificated quality management systems. All software works on all major operating systems, is well tested, thoroughly documented, professionally supported and regularly updated and enhanced.
Our lab studies the molecular and cellular basis of neural circuit development and disease (www.jeroenpasterkamplab.com). Within circRTrain we will examine which circRNAs contribute to the growth and guidance of axons and how these effects are mediated. In addition, we will determine how circRNAs are deregulated in neurological disorders, such as epilepsy, and whether they contribute to pathophysiology.
Our lab combines light & electron microscopy, transcription imaging and deep sequencing with computer vision and software development. We develop tools and solutions in order to study and model transcriptional regulation in development using C. elegans and other major model organisms. We develop software in the context of ImgLib2, Fiji, and BigDataViewer and provide it open-source to the community.
The Rajewsky lab combines theoretical/computational and experimental methods to understand more about gene regulation in animals. Research teams are interdisciplinary, employing techniques from molecular biology and biochemistry on different model organisms and driving the analysis with tools and concepts from bioinformatics, statistics, and physics.