Objetivo
Protein N-termini represent a wealth of biological information, such as their generation by limited proteolysis, which sculpts proteome functionality by yielding protein-sized cleavage products with novel functionality. N-terminomics is a branch of functional proteomics and enables the analysis of thousands of protein N-termini in an unbiased manner. By targeting native, proteolytically generated or acetylated protein N-termini as well as uncovering novel translation initiation sites, N-terminomics bears relevance to proteolysis and proteogenomics research. Unlike proteomic assays to study modifications such as phosphorylation, N-terminomics has remained inaccessible to non-expert laboratories due to a lack of ready-to-use kit formats or commercial services. Based on a recently published N-terminomic workflow by my laboratory, the present project aims to fill this niche by laying the foundation to represent N-terminomics (sample preparation up to mass spectrometry analysis) in a kit-like format together with online data analysis. Development steps include inclusion of multiple internal standards for improved sample-to-sample comparability, sole usage of cost-effective, disposable “small-scale” equipment in sample preparation, minimization of required input material, adaption to different input material including cryopreserved and formalin-fixed, paraffin-embedded samples, as well as web-based mass spectrometry data analysis and annotation. This endeavor is based on multiple collaborative projects of the applicant with pharmaceutical companies and backed by interest of proteomic supply companies. In a small forward-looking activity, the project will explore the application N-terminomics in molecular diagnostics of bladder cancer; based on the rationale local infiltration by solid tumors is based on differential proteolysis. This activity serves an initial step to add N-terminomics to the toolbox of molecular pathology.
Ámbito científico
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
- natural sciencescomputer and information sciencesdata science
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- medical and health sciencesclinical medicineoncologybladder cancer
- medical and health sciencesbasic medicinepathology
- natural scienceschemical sciencesanalytical chemistrymass spectrometry
Programa(s)
Régimen de financiación
ERC-POC - Proof of Concept GrantInstitución de acogida
79106 Freiburg
Alemania