Project description:Reference materials are vital to benchmarking the reproducibility of clinical tests and essential for monitoring laboratory performance for clinical proteomics. The reference material utilized for mass spectrometric analysis of the human proteome would ideally contain enough proteins to be suitably representative of the human proteome, as well as exhibit a stable protein composition in different batches of sample regeneration. Previously, The Clinical Proteomic Tumor Analysis Consortium (CPTAC) utilized PDX-derived comparative reference (CompRef) materials for the longitudinal assessment of proteomic performance, however, inherent drawbacks of PDX-derived material has resulted in efforts to identify a new source of CompRef material. In this study, we examined the utility of using a panel of seven cancer cell lines, NCI-7 Cell Line Panel, as a reference material for mass spectrometric analysis of the human proteome. Our results showed that not only is the NCI-7 material suitable for benchmarking laboratory sample preparation methods, but NCI-7 sample generation is highly reproducible at both the global and phosphoprotein levels. In addition, the predicted genomic and experimental coverage of the NCI-7 proteome suggests the NCI-7 material may also have applications as a universal standard proteomic reference.
Project description:NCI-60 cancer cell lines were profiled with their genome-wide gene expression patterns using Affymetrix HG-U133A chips. Keywords: NCI-60 cancer cell line expression profiling
Project description:This ArrayExpress record contains meta-data and results of quantitative analysis of cell lines from the NCI-60 panel using pressure cycling technology (PCT) and SWATH-mass spectrometry. Each cell line was analyzed in duplicate. Raw data files are available at the EMBL-EBI protemics data archive (PRIDE) at accession PXD003539 (http://www.ebi.ac.uk/pride/archive/projects/PXD003539). Since the record here does not include the raw data files and hence there is no need to explicitly link individual replicate to a raw file, each sample is only listed once in the ArrayExpress samples table for clarity.
Project description:The NCI-60 cell line collection is a very widely used panel for the study of cellular mechanisms of cancer in general and in vitro drug action in particular. It is a model system for the tissue types and genetic diversity of human cancers and has been extensively molecularly characterized. Here, we present a quantitative proteome and kinome profile of the NCI-60 panel covering, in total, 10,350 proteins (including 375 protein kinases) and including a core cancer proteome of 5,578 proteins that were consistently quantified across all tissue types. Bioinformatic analysis revealed strong cell line clusters according to tissue type and disclosed hundreds of differentially regulated proteins representing potential biomarkers for numerous tumor properties. Integration with public transcriptome data showed considerable similarity between mRNA and protein expression. Modeling of proteome and drug-response profiles for 108 FDA-approved drugs identified known and potential protein markers for drug sensitivity and resistance. To enable community access to this unique resource, we incorporated it into a public database for comparative and integrative analysis (http://wzw.tum.de/proteomics/nci60).
Project description:Knockdown LRRK1-CAPT in NCI-H1299 lung cancer cell line by two independent siRNAs, to investigate the mechanism of LRRK1-CAPT in regulation of cell proliferation.
Project description:To investigate the role of NFATc4 in aldosterone production, we created NFATc4 knock-out NCI-H295R cell line and overexpressed active NFATc4 in wild type NCI-H295R cells. We then analyzed the transcriptome of the four cell types.
Project description:The NCI-60 cell line collection is a very widely used panel for the study of cellular mechanisms of cancer in general and in vitro drug action in particular. It is a model system for the tissue types and genetic diversity of human cancers and has been extensively molecularly characterized. Here, we present a quantitative proteome and kinome profile of the NCI-60 panel covering, in total, 10,350 proteins (including 375 protein kinases) and including a core cancer proteome of 5,578 proteins that were consistently quantified across all tissue types. Bioinformatic analysis revealed strong cell line clusters according to tissue type and disclosed hundreds of differentially regulated proteins representing potential biomarkers for numerous tumor properties. Integration with public transcriptome data showed considerable similarity between mRNA and protein expression. Modeling of proteome and drug-response profiles for 108 FDA-approved drugs identified known and potential protein markers for drug sensitivity and resistance. To enable community access to this unique resource, we incorporated it into a public database for comparative and integrative analysis (http://wzw.tum.de/proteomics/nci60).