TY - JOUR
T1 - Data management and preliminary data analysis in the pilot phase of the HUPO Plasma Proteome Project
AU - Adamski, Marcin
AU - Blackwell, Thomas
AU - Menon, Rajasree
AU - Martens, Lennart
AU - Hermjakob, Henning
AU - Taylor, Chris
AU - Omenn, Gilbert S.
AU - States, David J.
PY - 2005/8
Y1 - 2005/8
N2 - The pilot phase of the HUPO Plasma Proteome Project (PPP) is an international collaboration to catalog the protein composition of human blood plasma and serum by analyzing standardized aliquots of reference serum and plasma specimens using a variety of experimental techniques. Data management for this project included collection, integration, analysis, and dissemination of findings from participating organizations world-wide. Accomplishing this task required a communication and coordination infrastructure specific enough to support meaningful integration of results from all participants, but flexible enough to react to changing requirements and new insights gained during the course of the project and to allow participants with varying informatics capabilities to contribute. Challenges included integrating heterogeneous data, reducing redundant information to minimal identification sets, and data annotation. Our data integration workflow assembles a minimal and representative set of protein identifications, which account for the contributed data. It accommodates incomplete concordance of results from different laboratories, ambiguity and redundancy in contributed identifications, and redundancy in the protein sequence databases. Recommendations of the PPP for future large-scale proteomics endeavors are described.
AB - The pilot phase of the HUPO Plasma Proteome Project (PPP) is an international collaboration to catalog the protein composition of human blood plasma and serum by analyzing standardized aliquots of reference serum and plasma specimens using a variety of experimental techniques. Data management for this project included collection, integration, analysis, and dissemination of findings from participating organizations world-wide. Accomplishing this task required a communication and coordination infrastructure specific enough to support meaningful integration of results from all participants, but flexible enough to react to changing requirements and new insights gained during the course of the project and to allow participants with varying informatics capabilities to contribute. Challenges included integrating heterogeneous data, reducing redundant information to minimal identification sets, and data annotation. Our data integration workflow assembles a minimal and representative set of protein identifications, which account for the contributed data. It accommodates incomplete concordance of results from different laboratories, ambiguity and redundancy in contributed identifications, and redundancy in the protein sequence databases. Recommendations of the PPP for future large-scale proteomics endeavors are described.
KW - HUPO
KW - Plasma Proteome Project
KW - Protein identification
KW - Proteomics data integration
KW - Proteomics database
UR - http://www.scopus.com/inward/record.url?scp=23944493647&partnerID=8YFLogxK
U2 - 10.1002/pmic.200500186
DO - 10.1002/pmic.200500186
M3 - Article
SN - 1615-9853
VL - 5
SP - 3246
EP - 3261
JO - Proteomics
JF - Proteomics
IS - 13
ER -