Jesse Angelis
Position: | PhD student |
Room: | OG-L25 |
Category: | PhD student |
Phone: | |
Email: | j.angelis(at)tum.de |
Mass spectrometry-based proteomics has significantly advanced our ability to identify and quantify proteins. However, these achievements often remain at the gene level, overlooking the critical diversity of protein isoforms—distinct variations of a single gene product. These isoforms are essential to biology, influencing molecular functions and cellular processes, yet their full spectrum often remains hidden within the data.
My research, conducted as part of the ERC Starting Grant project ORIGIN - Learning Isoform Fingerprints to Discover the Molecular Diversity of Life (https://www.mls.ls.tum.de/en/compms/research/grants/origin-learning-isoform-fingerprints-to-discover-the-molecular-diversity-of-life/), seeks to tackle this challenge by applying graph theory to uncover the missing isoform information.
By bridging the gap between mass spectrometry data and isoform-level insights, this work aims to transform our understanding of the molecular diversity that defines life.
Find me on LinkedIn (https://www.linkedin.com/in/jesseangelis/)