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Deep thermal profiling for detection of functional proteoform groups

Nils Kurzawa, Isabelle Rose Leo, Matthias Stahl, Elena Kunold, Isabelle Becher, Anastasia Audrey, Georgios Mermelekas, Wolfgang Huber, André Mateus, Mikhail M. Savitski, Rozbeh Jafari

2023Nature Chemical Biology42 citationsDOIOpen Access PDF

Abstract

The complexity of the functional proteome extends considerably beyond the coding genome, resulting in millions of proteoforms. Investigation of proteoforms and their functional roles is important to understand cellular physiology and its deregulation in diseases but challenging to perform systematically. Here we applied thermal proteome profiling with deep peptide coverage to detect functional proteoform groups in acute lymphoblastic leukemia cell lines with different cytogenetic aberrations. We detected 15,846 proteoforms, capturing differently spliced, cleaved and post-translationally modified proteins expressed from 9,290 genes. We identified differential co-aggregation of proteoform pairs and established links to disease biology. Moreover, we systematically made use of measured biophysical proteoform states to find specific biomarkers of drug sensitivity. Our approach, thus, provides a powerful and unique tool for systematic detection and functional annotation of proteoform groups.

Topics & Concepts

ProteomeComputational biologyHuman proteome projectProteomicsBiologyGeneBioinformaticsGeneticsAdvanced Proteomics Techniques and ApplicationsMachine Learning in BioinformaticsMass Spectrometry Techniques and Applications