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*Ronald Beavis, Canada Research Chair in Experimental Bioinformatics, University of British Columbia; | *Ronald Beavis, Canada Research Chair in Experimental Bioinformatics, University of British Columbia; | ||
*David Fenyo, Rockefeller University; | *David Fenyo, Rockefeller University; | ||
- | *Susan Fisher, Professor of Cell and Tissue Biology, University of California, San Francisco; | + | *Susan Fisher, Professor of Cell and Tissue Biology, University of California, San Francisco; |
- | *Brad Gibson, Professor, The Buck Institute for Aging | + | *Brad Gibson, Professor, The Buck Institute for Aging; and |
+ | *John Wilkins, Director, Manitoba Centre for Proteomics and Systems Biology. | ||
==Other sources== | ==Other sources== |
Contents |
The Normal Clinical Tissue Alliance was created to provide clinical proteomics information about normal human tissues. It was initially conceived as a collaboration between the UCSF Medical School, Lawrence Berkeley Laboratories, the Buck Institute for Aging and the University of British Columbia as part of the Clinical Proteomic Technology Assessment for Cancer program. The NCTA will develop and maintain evolving lists of proteins (proteomes) that can be detected by current mass spectrometry-based proteomics experiments. These proteomes are organized on a tissue-by-tissue basis, with emphasis on those tissues that important for clinical diagnosis. These lists are meant to be practical guides to what proteins are commonly observed, rather than exhaustive catalogues of every protein that has ever been attributed to a particular tissue.
The tissue-specific proteomes will be generated directly from mass spectra and then curated to generate the lists given below. The selection of which tissues will be annotated is dependent on the public availability of data and tissue provenance of the data. Lists of proteins in literature publications will be considered in the curation process, but they will be considered as secondary sources if the supporting mass spectrometry data they are based on has not been made publicly available.
The BRENDA tissue ontology will be used to identify tissues, with the CELL ontology being used when BRENDA does not contain an entry for a particular type of cell that may be considered a tissue for practical purposes, such as erythrocytes.
The following laboratories have contributed the raw data that was used to generate the current release. This contribution has either been through direct submission of data through the GPM interface, posting data to public repository sites such as Tranche, PeptideAtlas or Human Proteinpedia, or through collaboration with Alliance members.
The following links are to spreadsheets that contain the proteomes for the corresponding normal tissue.
The following spreadsheets contain the same proteomes, with the plasma proteome removed.
All of the tandem mass spectra that have been used to generate these proteomes are available for reanalysis, on an ftp site. The files are organized by tissue type. Each data set used for that tissue type is represented by two files that contain the information used to generate the protein list for that data set.