Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31782
Title: Proteomic analyses identify targets, pathways, and cellular consequences of oncogenic KRAS signaling
Authors: Kabella, N
Bayer, FP
Stamatiou, K
Abele, M
Sakhteman, A
Chang, Y-C
Wagner, V
Gabriel, A
Krumm, J
Reinecke, M
Holzner, M
Aigner, M
The, M
Hahne, H
Bassermann, F
Ludwig, C
Vagnarelli, P
Kuster, B
Issue Date: 29-Jul-2025
Publisher: American Association for the Advancement of Science (AAAS)
Citation: Kabella, N. et al. (2025) 'Proteomic analyses identify targets, pathways, and cellular consequences of oncogenic KRAS signaling', Science Signaling, 18 (897), eadt6552, pp. 1 - 51. doi: 10.1126/scisignal.adt6552.
Abstract: Mutations that activate the small GTPase KRAS are a frequent genetic alteration in cancer, and drug discovery efforts have led to inhibitors that block KRAS activity. We sought to better understand oncogenic KRAS signaling and the cytostatic effects of drugs that target this system. We performed proteomic analyses to investigate changes in protein abundance and posttranslational modifications in inhibitor-treated human KRAS-mutant pancreatic (KRAS G12C and G12D) and lung cancer (KRAS G12C) cells. The inhibitors used target these mutant forms of KRAS, the downstream effectors MEK and ERK, and the upstream regulators SHP2 and SOS1. Comparisons of phosphoproteomes between cell lines revealed a core KRAS signaling signature and cell line–specific signaling networks. In all cell lines, phosphoproteomes were dominated by different degrees of autonomous, oncogenic KRAS activity. Comparison of phosphoproteomes after short and long drug exposures revealed the temporal dynamics of KRAS-MEK-ERK axis inhibition that resulted in cell cycle exit. This transition to a quiescent state occurred in the absence of substantial proteome remodeling but included broad changes in protein phosphorylation and ubiquitylation. The collective data reveal insights into oncogenic KRAS signaling, place many additional proteins into this functional context, and implicate cell cycle exit as a mechanism by which cells evade death upon KRAS signaling inhibition.
Description: Data and materials availability: The raw MS proteomic data, protein and peptide identification (search engine and SIMSI transfer outputs), Swiss-Prot reference database and quantification results, and concentration-response curves from CurveCurator or internal analysis pipelines used for Kinobeads analysis have been deposited with the ProteomeXchange Consortium via the MassIVE partner repository (https://massive.ucsd.edu/) with the dataset identifier PXD063604 (MassIVE identifier: MSV000097797). From these data, all analysis presented in this study can be reproduced. In addition, all concentration-response datasets including parameter TOML files, fitted curves saved as .txt files, and interactive dashboards can be viewed on Zenodo. Parts of the analysis can also be found on Zenodo (https://doi.org/10.5281/zenodo.13380481). The data are additionally also available in ProteomicsDB (www.proteomicsdb.org) (20). The MS data and Skyline files for the PRM assays have been deposited to ProteomeXchange Consortium and the Panorama Public website (https://panoramaweb.org/2024_Kabella_KRAS.url; ProteomeXchange identifier PXD054509) (83). All other data needed to evaluate the conclusions in the paper are present in the paper or the Supplementary Materials. There are no restrictions on materials other than those imposed by the commercial availability of cell lines, antibodies, drugs, and other reagents used in this study.
URI: https://bura.brunel.ac.uk/handle/2438/31782
DOI: https://doi.org/10.1126/scisignal.adt6552
ISSN: 1945-0877
Other Identifiers: ORCiD: Nicole Kabella https://orcid.org/0000-0002-1901-2488
ORCiD: Florian P. Bayer https://orcid.org/0000-0001-6489-2835
ORCiD: Konstantinos Stamatiou https://orcid.org/0000-0002-5650-078X
ORCiD: Miriam Abele https://orcid.org/0000-0003-0084-2999
ORCiD: Amirhossein Sakhteman https://orcid.org/0000-0002-1922-6523
ORCiD: Yun-Chien Chang https://orcid.org/0000-0003-1623-3629
ORCiD: Antje Gabriel https://orcid.org/0009-0009-8197-7369
ORCiD: Johannes Krumm https://orcid.org/0000-0002-7193-4498
ORCiD: Michael Aigner https://orcid.org/0009-0004-9579-6386
ORCiD: Matthew The https://orcid.org/0000-0002-5401-5553
ORCiD: Hannes Hahne https://orcid.org/0000-0003-3601-0051
ORCiD: Florian Bassermann https://orcid.org/0000-0003-4435-2609
ORCiD: Christina Ludwig https://orcid.org/0000-0002-6131-7322
ORCiD: Paola Vagnarelli https://orcid.org/0000-0002-0000-2271
ORCiD: Bernhard Kuster* https://orcid.org/0000-0002-9094-1677
Article number: eadt6552
Appears in Collections:Dept of Life Sciences Research Papers

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FullText.pdfCopyright © 2025 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. This is the author’s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science Signaling, Vol. 18, No. 897, on 29 Jul 2025, DOI: 10.1126/scisignal.adt6552 (see: https://www.science.org/content/page/science-licenses-journal-article-reuse and the Science Journals Default License at https://www.science.org/content/page/science-journals-editorial-policies#copyright-license-to-publish).2.22 MBAdobe PDFView/Open


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