The cultivation of (micro-)algae and the extraction of ingredients from them has become increasingly important in recent years. This project`s scope was to develop a dedicated downstream process as a
compact, decentralized, and reliable systems – including inline measurement for a later cloud-driven operation.
Novel diagnostic and prognostic biomarkers for different cancer types CanIso.netA new database to assess the impact of cancer-specific Most Dominant Transcripts (cMDT) using an isoform-specific interaction network. Alternative RNA splicing is a regulatory cellular mechanism to create multiple mRNA molecules from the same gene…
Synthetic glycolipids for the treatment of rare diseases GPI-Anchored Proteins Biosynthesis Rescue We established a synthetic strategy for the chemical synthesis of glycosylphosphatidylinositols having unsaturated lipids. This strategy was used in a project with the group of Prof. Taroh Kinoshita from Osaka University and the Max Planck…
In vitro models for liver disease suffer from the lack of well-established and sensitive biomarkers of cellular damage. MicroRNAs (miRNAs; small noncoding RNAs) represent potential biomarkers for the detection of drug-induced liver injury in vivo and in vitro. Altered physiological state caused by disease or tissue damage results in altered release of exosomal- or protein-bound miRNAs, detectable in body fluids and cell culture media...
Integrated cascades of processes for the extraction and valorisation of proteins and bioactive molecules from legumes, fungi and coffee agro-industrial side streams. Under this title, PROLIFIC applies new, innovative, technological and industrial solutions to transform agro-industrial residues into higher value products....
In FuturEnzyme, a multi-disciplinary and multi-actor consortium of 16 leading academic and industrial partners will develop technologies of the FUTURe for low-cost ENZYMEs for environment-friendly products. The high-tech enzyme development platform will use big biodata mining of both public and internal databases and bio-resources, and disruptive machine learning, activity-based bioprospecting, protein engineering, nano-biotechnology, upscale fermentation, and downstream processing systems...