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:Here we investigated the degradation of mRNA and protein in 68 pairs of adjacent prostate tissue samples using RNA-seq and pressure cycling technology (PCT) coupled with SWATH mass spectrometry and developed a score, the Proteome Integrity Number (PIN), to quantify the extent of protein degradation in the samples.
Project description:Prostate cancer is the Prostate cancer is the most prevalent cancer in men. However, the majority of prostate cancers diagnosed today are indolent with 14% of patients diagnosed with lethal prostate cancer. It is of great importance to determine the molecular features that are involved in the aggressiveness of prostate cancers. To this end, we found that through SWATH-MS proteomics analyses of 108 well-preserved frozen prostate tissues of various disease states, tmost prevalent cancer in men. However, the majority of prostate cancers diagnosed today are indolent with 14% of patients diagnosed with lethal prostate cancer. It is of great importance to determine the molecular features that are involved in the aggressiveness of prostate cancers. To this end, we deployed SWATH-MS proteomics analyses of 108 well-preserved frozen prostate tissues of various disease states.
Project description:DDA and SWATH analysis of human kidney tissues. Data set used for PCT-SWATH paper. PCT-SWATH provides the first method to generate a digital map representing the proteome of biopsy level clinical samples from which thousands of proteins can be accurately quantified with a high degree of reproducibility across sample sets.