Author

S. Doll

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· 3 Biochemistry· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 5 Assay:proteomics· 5 Organism:human· 4 Research Focus:cancer & tumor microenvironment· 3 Research Focus:cell type annotation· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1

Frequent Co-Authors

M. Mann· 3 shared M. Conrad· 2 shared P. E. Geyer· 2 shared A. Ali· 1 shared A. Beatty· 1 shared A. Friedman· 1 shared A. Luengo· 1 shared A. Plasger· 1 shared

Activity by Year

2018-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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3 shared papersCell Biology

M. Mann

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Author profile →

6 papers

Recent·Most cited

Transparent exploration of machine learning for biomarker discovery from proteomics and omics data

M. T. Strauss, F. M. Torun, S. Virreira Winter, S. Doll, F. M. Riese, A. Vorobyev, J. B. Müller-Reif, P. E. Geyer

The paper introduces OmicLearn, an open-source web-based tool for applying machine learning to biomarker discovery in proteomics and omics data without requiring programming or bioinformatics expertise.

bioRxiv · Mar 5, 2021Biochemistry

Spatially and cell-type resolved quantitative proteomic atlas of healthy human skin

B. Dyring-Andersen, M. B. Loevendorf, F. Coscia, A. Santos, L. B. P. Moeller, A. R. Colaco, L. Niu, M. Bzorek, S. Doll, J. Lock Andersen, R. A. Clark, L. Skov, M. B. M. Teunissen, M. Mann

The paper creates a spatially and cell-type resolved proteomic atlas of healthy human skin, quantifying 10,701 proteins across different locations and cell types.

Nature Communications · Nov 5, 2020Peer-reviewedCell Biology

Limited Environmental Serine Confers Sensitivity to PHGDH Inhibition in Brain Metastasis

B. Ngo, E. Kim, V. Osorio-Vasquez, S. Doll, S. Bustraan, A. Luengo, S. M. Davidson, A. Ali, G. D. Ferraro, D. Kang, J. Ni, R. Liang, A. Plasger, E. R. Kastenhuber, R. Eskandari, , M. E. Pacold

This study shows that brain metastases rely on PHGDH-mediated serine synthesis due to limited environmental serine, making them sensitive to PHGDH inhibition.

bioRxiv · Mar 3, 2020 · PreprintCancer Biology

Cell density-dependent ferroptosis in breast cancer is induced by accumulation of polyunsaturated fatty acid-enriched triacylglycerides

E. Panzilius, F. Holstein, J. Dehairs, M. Planque, C. von Toerne, A.-C. Koenig, S. Doll, M. Bannier-Helaouët, H. M. Ganz, S. M. Hauck, A. Talebi, J. V. Swinnen, S.-M. Fendt, J. P. Friedmann Angeli, M. Conrad, C. H. Scheel

This study shows that low cell density in breast cancer cells increases ferroptosis sensitivity by promoting PUFA-enriched TAG accumulation and reducing lipid desaturation.

bioRxiv · Oct 1, 2019 · PreprintCancer Biology

Conjugated linolenic fatty acids trigger ferroptosis in triple-negative breast cancer

A. Beatty, T. Singh, Y. Y. Tyurina, E. Nicolas, K. Maslar, Y. Zhou, K. Q. Cai, Y. Tan, S. Doll, M. Conrad, H. Bayır, V. E. Kagan, U. Rennefahrt, J. R. Peterson

This study identifies conjugated linolenic acids as ferroptosis inducers in triple-negative breast cancer and shows their anti-tumor effects in a xenograft model.

bioRxiv · Feb 20, 2019 · PreprintCancer Biology

A novel LC system embeds analytes in pre-formed gradients for rapid, ultra-robust proteomics

N. Bache, P. E. Geyer, D. B. Bekker-Jensen, O. Hoerning, L. Falkenby, P. V. Treit, S. Doll, I. Paron, F. Meier, J. V. Olsen, O. Vorm, M. Mann

The paper introduces a novel LC system for proteomics that enables rapid, high-throughput, and robust analysis with deep proteome coverage.

bioRxiv · May 15, 2018Biochemistry