Erwin M. Schoof
Affiliations: | Biotechnology and Biomedicine | Technical University of Denmark, Kongens Lyngby, Denmark |
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Sign in to add trainee| Lukas R. Woltereck | research assistant | Technical University of Denmark (Cell Biology Tree) | |
| Teeradon Phlairaharn | research assistant | 2021-2022 | Technical University of Denmark |
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| Petrosius V, Aragon-Fernandez P, Üresin N, et al. (2023) Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition. Nature Communications. 14: 5910 |
| Woessmann J, Petrosius V, Üresin N, et al. (2023) Assessing the Role of Trypsin in Quantitative Plasma and Single-Cell Proteomics toward Clinical Application. Analytical Chemistry. 95: 13649-13658 |
| Phlairaharn T, Ye Z, Krismer E, et al. (2023) Optimizing Linear Ion-Trap Data-Independent Acquisition toward Single-Cell Proteomics. Analytical Chemistry. 95: 9881-9891 |
| Cox TR, Rumney RMH, Schoof EM, et al. (2023) Retraction Note: The hypoxic cancer secretome induces pre-metastatic bone lesions through lysyl oxidase. Nature |
| Phlairaharn T, Ye Z, Krismer E, et al. (2023) Optimizing linear ion trap data independent acquisition towards single cell proteomics. Biorxiv : the Preprint Server For Biology |
| Gatto L, Aebersold R, Cox J, et al. (2023) Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments. Nature Methods |
| Phlairaharn T, Grégoire S, Woltereck LR, et al. (2022) High Sensitivity Limited Material Proteomics Empowered by Data-Independent Acquisition on Linear Ion Traps. Journal of Proteome Research. 21: 2815-2826 |
| Petrosius V, Schoof EM. (2022) Recent advances in the field of single-cell proteomics. Translational Oncology. 27: 101556 |
| Furtwängler B, Üresin N, Motamedchaboki K, et al. (2022) Real-Time Search-Assisted Acquisition on a Tribrid Mass Spectrometer Improves Coverage in Multiplexed Single-Cell Proteomics. Molecular & Cellular Proteomics : McP. 21: 100219 |
| Schoof EM, Furtwängler B, Üresin N, et al. (2021) Quantitative single-cell proteomics as a tool to characterize cellular hierarchies. Nature Communications. 12: 3341 |