Integrated Bottom-Up and Top-Down Proteomics of Patient-Derived Breast Tumor Xenografts.
Ontology highlight
ABSTRACT: Bottom-up proteomics relies on the use of proteases and is the method of choice for identifying thousands of protein groups in complex samples. Top-down proteomics has been shown to be robust for direct analysis of small proteins and offers a solution to the "peptide-to-protein" inference problem inherent with bottom-up approaches. Here, we describe the first large-scale integration of genomic, bottom-up and top-down proteomic data for the comparative analysis of patient-derived mouse xenograft models of basal and luminal B human breast cancer, WHIM2 and WHIM16, respectively. Using these well-characterized xenograft models established by the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium, we compared and contrasted the performance of bottom-up and top-down proteom
SUBMITTER: Ntai I
PROVIDER: S-EPMC4762530 | biostudies-literature | 2016 Jan
REPOSITORIES: biostudies-literature
ACCESS DATA