MS-PROT 2025/2026 is an engaging, hands-on course designed for students interested in the science of proteomics analysis and data interpretation. The course blends essential theory with practical applications, covering core principles of mass spectrometry (MS), protein and peptide identification and quantification, and advanced R-based data analysis. Students will gain real-world insights through interactive sessions, lab tours at the university’s proteomics core facilities, and direct exposure to cutting-edge MS platforms such as Orbitrap and MALDI-TOF. Led by Mohieddin Jafari and Markku Varjosalo, with contributions from leading international and internal experts, the course fosters critical thinking through pre-assignments, quizzes, and a collaborative capstone project based on real proteomics datasets.
Looking back at 2025:
The first edition of the course brought together six student teams who reanalyzed public proteomics datasets and competed with each other on the race day. Their work addressed challenges related to reproducibility and data transparency in open-access proteomics. The outcome of this project was a peer-reviewed research article published in Scientific Data Journal:
This experience reflected the organizers' vision of research-based teaching: students engage with real datasets, critically evaluate published results, and contribute to improving community standards in proteomics.