Proteomic profiling across breast cancer cell lines and models
Abstract We performed quantitative proteomics on 60 human-derived breast cancer cell line models to a depth of ~13,000 proteins. The resulting high-throughput datasets were assessed for quality and reproducibility. We used the datasets to identify and characterize the subtypes of breast cancer and s...
Main Authors: | Marian Kalocsay, Matthew J. Berberich, Robert A. Everley, Maulik K. Nariya, Mirra Chung, Benjamin Gaudio, Chiara Victor, Gary A. Bradshaw, Robyn J. Eisert, Marc Hafner, Peter K. Sorger, Caitlin E. Mills, Kartik Subramanian |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-08-01
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Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-023-02355-0 |
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