Literature DB >> 16104058

A functional annotation of subproteomes in human plasma.

Peipei Ping1, Thomas M Vondriska, Chad J Creighton, T K B Gandhi, Ziping Yang, Rajasree Menon, Min-Seok Kwon, Sang Yun Cho, Garry Drwal, Markus Kellmann, Suraj Peri, Shubha Suresh, Mads Gronborg, Henrik Molina, Raghothama Chaerkady, B Rekha, Arun S Shet, Robert E Gerszten, Haifeng Wu, Mark Raftery, Valerie Wasinger, Peter Schulz-Knappe, Samir M Hanash, Young-Ki Paik, William S Hancock, David J States, Gilbert S Omenn, Akhilesh Pandey.   

Abstract

The data collected by Human Proteome Organization's Plasma Proteome Pilot project phase was analyzed by members of our working group. Accordingly, a functional annotation of the human plasma proteome was carried out. Here, we report the findings of our analyses. First, bioinformatic analyses were undertaken to determine the likely sources of plasma proteins and to develop a protein interaction network of proteins identified in this project. Second, annotation of these proteins was performed in the context of functional subproteomes involved in the coagulation pathway, the mononuclear phagocytic system, the inflammation pathway, the cardiovascular system, and the liver; as well as the subset of proteins associated with DNA binding activities. Our analyses contributed to the Plasma Proteome Database (http://www.plasmaproteomedatabase.org), an annotated database of plasma proteins identified by HPPP as well as from other published studies. In addition, we address several methodological considerations including the selective enrichment of post-translationally modified proteins by the use of multi-lectin chromatography as well as the use of peptidomic techniques to characterize the low molecular weight proteins in plasma. Furthermore, we have performed additional analyses of peptide identification data to annotate cleavage of signal peptides, sites of intra-membrane proteolysis and post-translational modifications. The HPPP-organized, multi-laboratory effort, as described herein, resulted in much synergy and was essential to the success of this project.

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Year:  2005        PMID: 16104058     DOI: 10.1002/pmic.200500140

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  24 in total

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