Author

C. Poyet

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Organism:human· 3 Assay:proteomics· 3 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

C. Fankhauser· 3 shared B. Wang· 2 shared D. Rutishauser· 2 shared J. H. Rueschoff· 2 shared P. Wild· 2 shared Q. Zhong· 2 shared R. Aebersold· 2 shared T. Guo· 2 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

C. Fankhauser

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Author profile →

3 papers

Recent·Most cited

Proteomic-based stratification of intermediate-risk prostate cancer patients

Q. Zhong, S. Rui, A. T. Aref, Z. Noor, A. Anees, Y. Zhu, N. Lucas, R. C. Poulos, M. Lyu, T. Zhu, B. Wang, G.-B. Chen, Y. Wang, X. Ding, D. Rutishauser, , P. J. Wild

The paper identifies an 18-protein signature from proteomic data to stratify intermediate-risk prostate cancer patients into low- and high-risk groups for biochemical recurrence.

bioRxiv · Mar 3, 2023Cancer Biology

Single-Cell Proteomics Defines the Cellular Heterogeneity of Localized Prostate Cancer

L. De Vargas Roditi, A. Jacobs, J. H. Rueschoff, P. Bankheac, S. Chevrier, H. Jackson, T. Hermanns, C. Fankhauser, C. Poyet, F. Chun, A. Tschaebunin, B. Bodenmiller, P. Wild

This study uses single-cell proteomics to identify cellular heterogeneity in localized prostate cancer and discovers rare subpopulations associated with advanced disease.

bioRxiv · Jan 25, 2021Cancer Biology

High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification

Y. J. Zhu, T. Weiss, Q. Zhang, R. Sun, B. Wang, Z. Wu, Q. Zhong, X. Yi, H. Gao, X. Cai, G. Ruan, T. Zhu, C. Xu, S. Lou, X. Yu, , T. Guo

This study develops a proteomic workflow for FFPE tissues to stratify prostate cancer and DLBCL samples, identifying MPO as a prognostic marker and showing FFPE's utility for biomarker discovery.

bioRxiv · Jun 11, 2019Biochemistry