Proteomic profiling across breast cancer cell lines and models

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...

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Bibliografische gegevens
Hoofdauteurs: 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
Formaat: Artikel
Taal:English
Gepubliceerd in: Nature Portfolio 2023-08-01
Reeks:Scientific Data
Online toegang:https://doi.org/10.1038/s41597-023-02355-0

Internet

https://doi.org/10.1038/s41597-023-02355-0

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