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About

Marvin Thielert is a leading researcher in spatial proteomics and immunopeptidomics, whose work bridges cutting-edge mass spectrometry with three-dimensional tissue biology. His most impactful contribution, "Spatial proteomics in three-dimensional intact specimens" (2022, 114 citations), pioneered methods to map protein distributions within intact tissues, enabling unprecedented insights into cellular organization and disease microenvironments. Thielert further advanced the field with his development of IMBAS-MS (2023), an automated one-pot enrichment technique using magnetic beads to isolate soluble HLA peptides from plasma. By integrating personalized computational libraries generated via AlphaPeptDeep, his approach identifies over 5,000 HLA peptides from just 200 microliters of plasma, revealing organ-specific peptide patterns. This work has profound implications for non-invasive immune monitoring and cancer immunotherapy, as it allows researchers to track tissue-specific immune responses through a simple blood draw. Thielert’s innovations have been widely recognized, with his spatial proteomics paper becoming a foundational reference in the field. His ability to combine sophisticated sample preparation, high-resolution mass spectrometry, and machine learning-driven data analysis positions him at the forefront of proteomics, offering powerful tools for studying complex biological systems and translating them into clinical applications.