Exploiting the Tumor Proteome Activity Status for Future Cancer Therapies

Informazioni relative al progetto

TOPAS

ID dell’accordo di sovvenzione: 833710

DOI

10.3030/833710

Progetto chiuso

Data della firma CE 7 Giugno 2019

Data di avvio 1 Settembre 2019

Data di completamento 31 Agosto 2024

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 2 272 055,00

Contributo UE

€ 2 272 055,00

Coordinato da

TECHNISCHE UNIVERSITAET MUENCHEN
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (17)

Proteome activity landscapes of tumor cell lines determine drug responses

Autori: Martin Frejno, Chen Meng, Benjamin Ruprecht, Thomas Oellerich, Sebastian Scheich, Karin Kleigrewe, Enken Drecoll, Patroklos Samaras, Alexander Hogrebe, Dominic Helm, Julia Mergner, Jana Zecha, Stephanie Heinzlmeir, Mathias Wilhelm, Julia Dorn, Hans-Michael Kvasnicka, Hubert Serve, Wilko Weichert, Bernhard Kuster
Pubblicato in: Nature Communications, Numero 11/1, 2020, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-020-17336-9

Decrypting the molecular basis of cellular drug phenotypes by dose-resolved expression proteomics

Autori: Stephan Eckert, Nicola Berner, Karl Kramer, Annika Schneider, Julian Müller, Severin Lechner, Sarah Brajkovic, Amirhossein Sakhteman, Christian Graetz, Jonas Fackler, Michael Dudek, Michael W. Pfaffl, Percy Knolle, Stephanie Wilhelm, Bernhard Kuster
Pubblicato in: Nature Biotechnology, 2024, ISSN 1087-0156
Editore: Nature Publishing Group
DOI: 10.1038/s41587-024-02218-y

Data, Reagents, Assays and Merits of Proteomics for SARS-CoV-2 Research and Testing

Autori: Jana Zecha, Chien-Yun Lee, Florian P. Bayer, Chen Meng, Vincent Grass, Johannes Zerweck, Karsten Schnatbaum, Thomas Michler, Andreas Pichlmair, Christina Ludwig, Bernhard Kuster
Pubblicato in: Molecular & Cellular Proteomics, Numero 19/9, 2020, Pagina/e 1503-1522, ISSN 1535-9476
Editore: American Society for Biochemistry and Molecular Biology Inc.
DOI: 10.1074/mcp.ra120.002164

CurveCurator: a recalibrated F-statistic to assess, classify, and explore significance of dose-response curves

Autori: Bayer FP, Gander M, Kuster B, The M
Pubblicato in: Nature Communications, Numero 14(1), 2023, Pagina/e 7902, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-023-43696-z

Evaluation of Disposable Trap Column nanoLC-FAIMS-MS/MS for the Proteomic Analysis of FFPE Tissue

Autori: Stephan Eckert, Yun-Chien Chang, Florian P Bayer, Matthew The, Peer-Hendrik Kuhn, Wilko Weichert, Bernhard Kuster
Pubblicato in: Journal of Proteome Research, Numero 20(12), 2021, Pagina/e 5402-5411, ISSN 1535-3893
Editore: American Chemical Society
DOI: 10.1021/acs.jproteome.1c00695

Robust Microflow LC-MS/MS for Proteome Analysis: 38 000 Runs and Counting

Autori: Bian Y, Bayer FP, Chang YC, Meng C, Hoefer S, Deng N, Zheng R, Boychenko O, Kuster B.
Pubblicato in: Analytical Chemistry, 2021, ISSN 0003-2700
Editore: American Chemical Society
DOI: 10.1021/acs.analchem.1c00257

Identification of 7 000-9 000 Proteins from Cell Lines and Tissues by Single-Shot Microflow LC-MS/MS.

Autori: Yangyang Bian; Yangyang Bian; Piero Giansanti; Julia Mergner; Runsheng Zheng; Mathias Wilhelm; Alexander Boychenko; Bernhard Kuster
Pubblicato in: Analytical Chemistry, Numero 93(25), 2021, Pagina/e 8687-8692, ISSN 0003-2700
Editore: American Chemical Society
DOI: 10.1021/acs.analchem.1c00738

ProteomicsDB: toward a FAIR open-source resource for life-science research

Autori: Lautenbacher, L., Samaras, P., Muller, J., Grafberger, A., Shraideh, M., Rank, J., Fuchs, S. T., Schmidt, T. K., The, M., Dallago, C., Wittges, H., Rost, B., Krcmar, H., Kuster, B. & Wilhelm, M.
Pubblicato in: Nucleic Acids Research, 2022, ISSN 0305-1048
Editore: Oxford University Press
DOI: 10.1093/nar/gkab1026

Mass spectrometry-based draft of the mouse proteome

Autori: Piero Giansanti, Patroklos Samaras, Yangyang Bian, Chen Meng, Andrea Coluccio, Martin Frejno, Hannah Jakubowsky, Sophie Dobiasch, Rashmi R Hazarika, Julia Rechenberger, Julia Calzada-Wack, Johannes Krumm, Sebastian Mueller, Chien-Yun Lee, Nicole Wimberger, Ludwig Lautenbacher, Zonera Hassan, Yun-Chien Chang, Chiara Falcomatà, Florian P Bayer, Stefanie Bärthel, Tobias Schmidt, Roland Rad, Stephan
Pubblicato in: Nature Methods, 2022, ISSN 1548-7091
Editore: Nature Publishing Group
DOI: 10.1038/s41592-022-01526-y

Chemical proteomics reveals the target landscape of 1,000 kinase inhibitors.

Autori: Reinecke M, Brear P, Vornholz L, Berger BT, Seefried F, Wilhelm S, Samaras P, Gyenis L, Litchfield DW, Médard G, Müller S, Ruland J, Hyvönen M, Wilhelm M, Kuster B.
Pubblicato in: Nature Chemical Biology, 2023, ISSN 1552-4450
Editore: Nature Publishing Group
DOI: 10.1038/s41589-023-01459-3

SIMSI-Transfer: Software-Assisted Reduction of Missing Values in Phosphoproteomic and Proteomic Isobaric Labeling Data Using Tandem Mass Spectrum Clustering

Autori: Firas Hamood, Florian P Bayer, Mathias Wilhelm, Bernhard Kuster, Matthew The
Pubblicato in: Molecular & Cellular Proteomics, Numero 21(8), 2022, Pagina/e 100238, ISSN 1535-9476
Editore: American Society for Biochemistry and Molecular Biology Inc.
DOI: 10.1016/j.mcpro.2022.100238

Decrypting drug actions and protein modifications by dose- and time-resolved proteomics

Autori: Zecha J, Bayer FP, Wiechmann S, Woortman J, Berner N, Müller J, Schneider A, Kramer K, Abril-Gil M, Hopf T, Reichart L, Chen L, Hansen FM, Lechner S, Samaras P, Eckert S, Lautenbacher L, Reinecke M, Hamood F, Prokofeva P, Vornholz L, Falcomatà C, Dorsch M, Schröder A, Venhuizen A, Wilhelm S, Médard G, Stoehr G, Ruland J, Grüner BM, Saur D, Buchner M, Ruprecht B, Hahne H, The M, Wilhelm M, Kus
Pubblicato in: Science, Numero 380(6640), 2023, Pagina/e 93–101, ISSN 0036-8075
Editore: American Association for the Advancement of Science
DOI: 10.1126/science.ade3925

Illuminating phenotypic drug responses of sarcoma cells to kinase inhibitors by phosphoproteomics

Autori: Lee CY, The M, Meng C, Bayer FP, Putzker K, Müller J, Streubel J, Woortman J, Sakhteman A, Resch M, Schneider A, Wilhelm S, Kuster B
Pubblicato in: Molecular Systems Biology, Numero 20(1), 2023, Pagina/e 28-55, ISSN 1744-4292
Editore: Nature Publishing Group
DOI: 10.1038/s44320-023-00004-7

Reanalysis of ProteomicsDB Using an Accurate, Sensitive, and Scalable False Discovery Rate Estimation Approach for Protein Groups

Autori: Matthew The, Patroklos Samaras, Bernhard Kuster, Mathias Wilhelm
Pubblicato in: Molecular & Cellular Proteomics, Numero 21(12), 2022, Pagina/e 100437, ISSN 1535-9476
Editore: American Society for Biochemistry and Molecular Biology Inc.
DOI: 10.1016/j.mcpro.2022.100437

Decrypting lysine deacetylase inhibitor action and protein modifications by dose-resolved proteomics

Autori: Yun-Chien Chang, Christian Gnann, Raphael R. Steimbach, Florian P. Bayer, Severin Lechner, Amirhossein Sakhteman, Miriam Abele, Jana Zecha, Jakob Trendel, Matthew The, Emma Lundberg, Aubry K. Miller, Bernhard Kuster
Pubblicato in: Cell Reports, Numero 43, 2024, Pagina/e 114272, ISSN 2211-1247
Editore: Cell Press
DOI: 10.1016/j.celrep.2024.114272

Linking post-translational modifications and protein turnover by site-resolved protein turnover profiling

Autori: Jana Zecha, Wassim Gabriel, Ria Spalek, Yun-Chien Chang, Julia Mergner, Mathias Wilhelm, Florian Bassermann, Bernhard Kuster
Pubblicato in: Nature communications, Numero 13(1), 2022, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-021-27639-0

Robust, reproducible and quantitative analysis of thousands of proteomes by micro-flow LC-MS/MS

Autori: Yangyang Bian, Runsheng Zheng, Florian P. Bayer, Cassandra Wong, Yun-Chien Chang, Chen Meng, Daniel P. Zolg, Maria Reinecke,Jana Zecha, Svenja Wiechmann, Stephanie Heinzlmeir, Johannes Scherr, Bernhard Hemmer,Mike Baynham, Anne-Claude Gingras, Oleksandr Boychenko, and Bernhard Kuster
Pubblicato in: Nature communications, Numero 11(1), 2020, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-019-13973-x