Literature DB >> 16104057

Data management and preliminary data analysis in the pilot phase of the HUPO Plasma Proteome Project.

Marcin Adamski1, Thomas Blackwell, Rajasree Menon, Lennart Martens, Henning Hermjakob, Chris Taylor, Gilbert S Omenn, David J States.   

Abstract

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.

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Year:  2005        PMID: 16104057     DOI: 10.1002/pmic.200500186

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


  17 in total

1.  Direct maximization of protein identifications from tandem mass spectra.

Authors:  Marina Spivak; Jason Weston; Daniela Tomazela; Michael J MacCoss; William Stafford Noble
Journal:  Mol Cell Proteomics       Date:  2011-11-03       Impact factor: 5.911

2.  Generic comparison of protein inference engines.

Authors:  Manfred Claassen; Lukas Reiter; Michael O Hengartner; Joachim M Buhmann; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2011-11-04       Impact factor: 5.911

Review 3.  Comparative human salivary and plasma proteomes.

Authors:  J A Loo; W Yan; P Ramachandran; D T Wong
Journal:  J Dent Res       Date:  2010-08-25       Impact factor: 6.116

4.  Proteomic parsimony through bipartite graph analysis improves accuracy and transparency.

Authors:  Bing Zhang; Matthew C Chambers; David L Tabb
Journal:  J Proteome Res       Date:  2007-08-04       Impact factor: 4.466

5.  Peptide Shifter: enhancing separation reproducibility using correlated expression profiles.

Authors:  Dmitri Sitnikov; Joanna M Hunter; Clive Hayward; Kevin Eng; Isabelle Migneault; Sylvain Tessier; Gregory J Opiteck; Paul Kearney
Journal:  J Am Soc Mass Spectrom       Date:  2007-06-19       Impact factor: 3.109

6.  Protein identification false discovery rates for very large proteomics data sets generated by tandem mass spectrometry.

Authors:  Lukas Reiter; Manfred Claassen; Sabine P Schrimpf; Marko Jovanovic; Alexander Schmidt; Joachim M Buhmann; Michael O Hengartner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2009-07-16       Impact factor: 5.911

7.  The proteomes of human parotid and submandibular/sublingual gland salivas collected as the ductal secretions.

Authors:  Paul Denny; Fred K Hagen; Markus Hardt; Lujian Liao; Weihong Yan; Martha Arellanno; Sara Bassilian; Gurrinder S Bedi; Pinmannee Boontheung; Daniel Cociorva; Claire M Delahunty; Trish Denny; Jason Dunsmore; Kym F Faull; Joyce Gilligan; Mireya Gonzalez-Begne; Frédéric Halgand; Steven C Hall; Xuemei Han; Bradley Henson; Johannes Hewel; Shen Hu; Sherry Jeffrey; Jiang Jiang; Joseph A Loo; Rachel R Ogorzalek Loo; Daniel Malamud; James E Melvin; Olga Miroshnychenko; Mahvash Navazesh; Richard Niles; Sung Kyu Park; Akraporn Prakobphol; Prasanna Ramachandran; Megan Richert; Sarah Robinson; Melissa Sondej; Puneet Souda; Mark A Sullivan; Jona Takashima; Shawn Than; Jianghua Wang; Julian P Whitelegge; H Ewa Witkowska; Lawrence Wolinsky; Yongming Xie; Tao Xu; Weixia Yu; Jimmy Ytterberg; David T Wong; John R Yates; Susan J Fisher
Journal:  J Proteome Res       Date:  2008-03-25       Impact factor: 4.466

Review 8.  Saliva: diagnostics and therapeutic perspectives.

Authors:  N Spielmann; D T Wong
Journal:  Oral Dis       Date:  2010-12-02       Impact factor: 3.511

9.  Discovery of the serum biomarker proteins in severe preeclampsia by proteomic analysis.

Authors:  Jisook Park; Dong Hyun Cha; Soo Jae Lee; Young Nam Kim; Young Hwan Kim; Kwang Pyo Kim
Journal:  Exp Mol Med       Date:  2011-07-30       Impact factor: 8.718

10.  An attempt to understand kidney's protein handling function by comparing plasma and urine proteomes.

Authors:  Lulu Jia; Ling Zhang; Chen Shao; Eli Song; Wei Sun; Mingxi Li; Youhe Gao
Journal:  PLoS One       Date:  2009-04-20       Impact factor: 3.240

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