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Title: Colorectal cancer atlas: an integrative resource for genomic and proteomic annotations from colorectal cancer cell lines and tissues
Austin Authors: Chisanga, David;Keerthikumar, Shivakumar;Pathan, Mohashin;Ariyaratne, Dinuka;Kalra, Hina;Boukouris, Stephanie;Abraham Mathew, Nidhi;Al Saffar, Haidar;Gangoda, Lahiru;Ang, Ching-Seng;Sieber, Oliver M;Mariadason, John M ;Dasgupta, Ramanuj;Chilamkurti, Naveen;Mathivanan, Suresh
Affiliation: Austin Health, Heidelberg, Victoria, Australia
Department of Computer Science and Information Technology, La Trobe University, Bundoora, Victoria, Australia
The Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, Victoria, Australia
Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
Faculty of Medicine, Dentistry and Health Sciences, Department of Medical Biology, University of Melbourne, Parkville, Victoria, Australia
Olivia Newton John Cancer Research Institute, Melbourne, Victoria, Australia
Ludwig Institute for Cancer Research, Melbourne-Austin Branch, Victoria, Australia
Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Victoria, Australia
Issue Date: Jan-2016
Date: 2015-10-22
Publication information: Nucleic Acids Research 2016; 44(D1): D969-974
Abstract: In order to advance our understanding of colorectal cancer (CRC) development and progression, biomedical researchers have generated large amounts of OMICS data from CRC patient samples and representative cell lines. However, these data are deposited in various repositories or in supplementary tables. A database which integrates data from heterogeneous resources and enables analysis of the multidimensional data sets, specifically pertaining to CRC is currently lacking. Here, we have developed Colorectal Cancer Atlas (, an integrated web-based resource that catalogues the genomic and proteomic annotations identified in CRC tissues and cell lines. The data catalogued to-date include sequence variations as well as quantitative and non-quantitative protein expression data. The database enables the analysis of these data in the context of signaling pathways, protein-protein interactions, Gene Ontology terms, protein domains and post-translational modifications. Currently, Colorectal Cancer Atlas contains data for >13 711 CRC tissues, >165 CRC cell lines, 62 251 protein identifications, >8.3 million MS/MS spectra, >18 410 genes with sequence variations (404 278 entries) and 351 pathways with sequence variants. Overall, Colorectal Cancer Atlas has been designed to serve as a central resource to facilitate research in CRC.
DOI: 10.1093/nar/gkv1097
Journal: Nucleic Acids Research
PubMed URL:
Type: Journal Article
Subjects: Colorectal Neoplasms
Databases, Genetic
Appears in Collections:Journal articles

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