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Plasma Proteome Database as a resource for proteomics research: 2014 update

Authors :
Richard J. Simpson
Rajesh Raju
Binit N Jhaveri
H. C. Harsha
Kaushal V. Sheth
Rakesh Sharma
Premendu P. Mathur
Lavanya Balakrishnan
Patrick G. Shaw
Subramanian Shankar
S Srikanth
T. S. Keshava Prasad
Nandini A. Sahasrabuddhe
Dindagur Nagaraja
Babylakshmi Muthusamy
Rita Christopher
Ramesh Kumar Khatana
Aneesha Radhakrishnan
Joji Kurian Thomas
Suresh Mathivanan
Ravi Sirdeshmukh
Aditi Chatterjee
Satwant Kumar
Arivusudar Marimuthu
Akhilesh Pandey
Vishalakshi Nanjappa
Aafaque Ahmad Khan
Source :
Nucleic Acids Research
Publication Year :
2013
Publisher :
Oxford University Press (OUP), 2013.

Abstract

Plasma Proteome Database (PPD; http://www.plasmaproteomedatabase.org/) was initially described in the year 2005 as a part of Human Proteome Organization's (HUPO's) pilot initiative on Human Plasma Proteome Project. Since then, improvements in proteomic technologies and increased throughput have led to identification of a large number of novel plasma proteins. To keep up with this increase in data, we have significantly enriched the proteomic information in PPD. This database currently contains information on 10,546 proteins detected in serum/plasma of which 3784 have been reported in two or more studies. The latest version of the database also incorporates mass spectrometry-derived data including experimentally verified proteotypic peptides used for multiple reaction monitoring assays. Other novel features include published plasma/serum concentrations for 1278 proteins along with a separate category of plasma-derived extracellular vesicle proteins. As plasma proteins have become a major thrust in the field of biomarkers, we have enabled a batch-based query designated Plasma Proteome Explorer, which will permit the users in screening a list of proteins or peptides against known plasma proteins to assess novelty of their data set. We believe that PPD will facilitate both clinical and basic research by serving as a comprehensive reference of plasma proteins in humans and accelerate biomarker discovery and translation efforts.

Details

ISSN :
13624962 and 03051048
Volume :
42
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....024ff7daa68c5e5fb1f9d30aa153f1ed