The landscape of protein expression in cancer based on public proteomics data
Ontology highlight
ABSTRACT: This project contains raw data, intermediate files and results used to create the integrated map of protein expression in human cancer (including data from cell lines and tumours). The map is based on joint reanalysis of 11 large-scale quantitative proteomics studies. The datasets were primarily retrieved from the PRIDE database, as well as MassIVE database and CPTAC data portal. The raw files were manually curated in order to capture mass spectrometry acquisition parameters, experimental design and sample characteristics. The raw files were jointly processed with MaxQuant computational platform using standard settings (see Data Processing Protocol). Due to size of the data, the processing was done in two batches denoted as “celllines” and “tumours” analysis. In total, using a 1% peptide spectrum match and protein false discovery rates, the analysis allowed identification of 21,580 protein groups in the cell lines dataset (MQ search results available in ‘txt-celllines’ folder), and 13,441 protein groups in the tumours dataset (MQ search results available in ‘txt-tumours’ folder).
INSTRUMENT(S):
ORGANISM(S): Homo Sapiens (human)
TISSUE(S): Prostate Gland, Kidney Cancer Cell, Cecum Cancer Cell Line, Permanent Cell Line Cell, Prostate Cancer Cell, Renal Cancer Cell Line, Lymph Node, Blood Cancer Cell, Uterine Cervix, Ovary Cancer Cell Line, Brain Cancer Cell Line, Colorectal Cancer Cell Line, Liver Cancer Cell, Colonic Cancer Cell, Prostate Cancer Cell Line, Cervical Cancer Cell Line, Skin Cancer Cell, Bone Cancer Cell Line, Breast Cancer Cell Line, Breast Cancer Cell, Ovary Cancer Cell
DISEASE(S): Prostate Adenocarcinoma,Colon Cancer,Disease Free,Malignant Neoplasm Of Ovary,Breast Cancer
SUBMITTER:
Andrew Jarnuczak
LAB HEAD: Juan Antonio Vizcaíno
PROVIDER: PXD013455 | Pride | 2019-07-18
REPOSITORIES: Pride
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