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Deep thermal profiling for detection of functional proteoform groups

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 systematic...

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Autores principales: Kurzawa, Nils, Leo, Isabelle Rose, Stahl, Matthias, Kunold, Elena, Becher, Isabelle, Audrey, Anastasia, Mermelekas, Georgios, Huber, Wolfgang, Mateus, André, Savitski, Mikhail M., Jafari, Rozbeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374440/
https://www.ncbi.nlm.nih.gov/pubmed/36941476
http://dx.doi.org/10.1038/s41589-023-01284-8
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author Kurzawa, Nils
Leo, Isabelle Rose
Stahl, Matthias
Kunold, Elena
Becher, Isabelle
Audrey, Anastasia
Mermelekas, Georgios
Huber, Wolfgang
Mateus, André
Savitski, Mikhail M.
Jafari, Rozbeh
author_facet Kurzawa, Nils
Leo, Isabelle Rose
Stahl, Matthias
Kunold, Elena
Becher, Isabelle
Audrey, Anastasia
Mermelekas, Georgios
Huber, Wolfgang
Mateus, André
Savitski, Mikhail M.
Jafari, Rozbeh
author_sort Kurzawa, Nils
collection PubMed
description 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. [Image: see text]
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spelling pubmed-103744402023-07-29 Deep thermal profiling for detection of functional proteoform groups Kurzawa, Nils Leo, Isabelle Rose Stahl, Matthias Kunold, Elena Becher, Isabelle Audrey, Anastasia Mermelekas, Georgios Huber, Wolfgang Mateus, André Savitski, Mikhail M. Jafari, Rozbeh Nat Chem Biol Article 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. [Image: see text] Nature Publishing Group US 2023-03-20 2023 /pmc/articles/PMC10374440/ /pubmed/36941476 http://dx.doi.org/10.1038/s41589-023-01284-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kurzawa, Nils
Leo, Isabelle Rose
Stahl, Matthias
Kunold, Elena
Becher, Isabelle
Audrey, Anastasia
Mermelekas, Georgios
Huber, Wolfgang
Mateus, André
Savitski, Mikhail M.
Jafari, Rozbeh
Deep thermal profiling for detection of functional proteoform groups
title Deep thermal profiling for detection of functional proteoform groups
title_full Deep thermal profiling for detection of functional proteoform groups
title_fullStr Deep thermal profiling for detection of functional proteoform groups
title_full_unstemmed Deep thermal profiling for detection of functional proteoform groups
title_short Deep thermal profiling for detection of functional proteoform groups
title_sort deep thermal profiling for detection of functional proteoform groups
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374440/
https://www.ncbi.nlm.nih.gov/pubmed/36941476
http://dx.doi.org/10.1038/s41589-023-01284-8
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