Ontology highlight
ABSTRACT:
SUBMITTER: Kalocsay M
PROVIDER: S-EPMC10403526 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature
Kalocsay Marian M Berberich Matthew J MJ Everley Robert A RA Nariya Maulik K MK Chung Mirra M Gaudio Benjamin B Victor Chiara C Bradshaw Gary A GA Eisert Robyn J RJ Hafner Marc M Sorger Peter K PK Mills Caitlin E CE Subramanian Kartik K
Scientific data 20230804 1
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 showed that they conform to known transcriptional subtypes, revealing that molecular subtypes are preserved even in under-sampled protein feature sets. All datasets are freely available as public resources on t ...[more]