GeneBio and Utrecht University Announce Collaborative Partnership Around Phenyx
News Jan 23, 2009
Geneva Bioinformatics (GeneBio) SA and Utrecht University’s Biomolecular Mass Spectrometry and Proteomics Group announced that the University’s Heck Laboratory will utilize GeneBio’s Phenyx software platform in order to get optimized scorings for its Lys-N protein digestion workflow in combination with Electron Transfer Dissociation (ETD) and Collision-Induced Dissociation (CID) data, an application developed by the Heck-group and which was recently published in amongst others Nature Methods.
The Lys-N workflow provides a novel complementary tool for high-throughput proteomics analysis with a special focus on the analysis of post-translational modifications and de novo sequencing.
Under the terms of the agreement, GeneBio and the University’s Heck-group will consider each other as privileged partners in the Mass Spectrometry based Proteomics field endeavouring continuously to optimize their respective efforts in order to maximize the synergies between the two groups, beginning with a collaborative project for the Lys-N protein digestion proteomics workflow.
The core research themes of the Heck-group are in the development of mass spectrometric methods applicable to the structural characterization of biomolecular systems, in relation to their biological function. As a world-renowned laboratory in the Mass Spectrometry based Proteomics field, the Heck-group also plays a leading role in the Netherlands Proteomics Centre (NPC), which is dedicated to the development of proteomics techniques and knowledge transfer, with a special focus on cancer proteomics, proteome biology of plants, micro-organisms, stem cells and autoimmune diseases.
Developed in collaboration with the Swiss Institute of Bioinformatics (SIB), Phenyx is GeneBio’s renowned software platform for the identification, quantitation and characterization of proteins and peptides from mass spectrometry data.
The Phenyx platform is specifically designed to meet the concurrent demands of high-throughput MS data analysis and dynamic results assessment via a customizable architecture and an user-friendly interface.
In a new study in cells, University of Illinois researchers have adapted CRISPR gene-editing technology to cause the cell’s internal machinery to skip over a small portion of a gene when transcribing it into a template for protein building. This gives researchers a way not only to eliminate a mutated gene sequence, but to influence how the gene is expressed and regulated.