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PPDB, the Plant Proteomics Database at Cornell
The Plant Proteomics Database (PPDB; http://ppdb.tc.cornell.edu), launched in 2004, provides an integrated resource for experimentally identified proteins in Arabidopsis and maize (Zea mays). Internal BLAST alignments link maize and Arabidopsis information. Experimental identification is based on in...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686560/ https://www.ncbi.nlm.nih.gov/pubmed/18832363 http://dx.doi.org/10.1093/nar/gkn654 |
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author | Sun, Qi Zybailov, Boris Majeran, Wojciech Friso, Giulia Olinares, Paul Dominic B. van Wijk, Klaas J. |
author_facet | Sun, Qi Zybailov, Boris Majeran, Wojciech Friso, Giulia Olinares, Paul Dominic B. van Wijk, Klaas J. |
author_sort | Sun, Qi |
collection | PubMed |
description | The Plant Proteomics Database (PPDB; http://ppdb.tc.cornell.edu), launched in 2004, provides an integrated resource for experimentally identified proteins in Arabidopsis and maize (Zea mays). Internal BLAST alignments link maize and Arabidopsis information. Experimental identification is based on in-house mass spectrometry (MS) of cell type-specific proteomes (maize), or specific subcellular proteomes (e.g. chloroplasts, thylakoids, nucleoids) and total leaf proteome samples (maize and Arabidopsis). So far more than 5000 accessions both in maize and Arabidopsis have been identified. In addition, more than 80 published Arabidopsis proteome datasets from subcellular compartments or organs are stored in PPDB and linked to each locus. Using MS-derived information and literature, more than 1500 Arabidopsis proteins have a manually assigned subcellular location, with a strong emphasis on plastid proteins. Additional new features of PPDB include searchable posttranslational modifications and searchable experimental proteotypic peptides and spectral count information for each identified accession based on in-house experiments. Various search methods are provided to extract more than 40 data types for each accession and to extract accessions for different functional categories or curated subcellular localizations. Protein report pages for each accession provide comprehensive overviews, including predicted protein properties, with hyperlinks to the most relevant databases. |
format | Text |
id | pubmed-2686560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26865602009-05-26 PPDB, the Plant Proteomics Database at Cornell Sun, Qi Zybailov, Boris Majeran, Wojciech Friso, Giulia Olinares, Paul Dominic B. van Wijk, Klaas J. Nucleic Acids Res Articles The Plant Proteomics Database (PPDB; http://ppdb.tc.cornell.edu), launched in 2004, provides an integrated resource for experimentally identified proteins in Arabidopsis and maize (Zea mays). Internal BLAST alignments link maize and Arabidopsis information. Experimental identification is based on in-house mass spectrometry (MS) of cell type-specific proteomes (maize), or specific subcellular proteomes (e.g. chloroplasts, thylakoids, nucleoids) and total leaf proteome samples (maize and Arabidopsis). So far more than 5000 accessions both in maize and Arabidopsis have been identified. In addition, more than 80 published Arabidopsis proteome datasets from subcellular compartments or organs are stored in PPDB and linked to each locus. Using MS-derived information and literature, more than 1500 Arabidopsis proteins have a manually assigned subcellular location, with a strong emphasis on plastid proteins. Additional new features of PPDB include searchable posttranslational modifications and searchable experimental proteotypic peptides and spectral count information for each identified accession based on in-house experiments. Various search methods are provided to extract more than 40 data types for each accession and to extract accessions for different functional categories or curated subcellular localizations. Protein report pages for each accession provide comprehensive overviews, including predicted protein properties, with hyperlinks to the most relevant databases. Oxford University Press 2009-01 2008-10-02 /pmc/articles/PMC2686560/ /pubmed/18832363 http://dx.doi.org/10.1093/nar/gkn654 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Sun, Qi Zybailov, Boris Majeran, Wojciech Friso, Giulia Olinares, Paul Dominic B. van Wijk, Klaas J. PPDB, the Plant Proteomics Database at Cornell |
title | PPDB, the Plant Proteomics Database at Cornell |
title_full | PPDB, the Plant Proteomics Database at Cornell |
title_fullStr | PPDB, the Plant Proteomics Database at Cornell |
title_full_unstemmed | PPDB, the Plant Proteomics Database at Cornell |
title_short | PPDB, the Plant Proteomics Database at Cornell |
title_sort | ppdb, the plant proteomics database at cornell |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686560/ https://www.ncbi.nlm.nih.gov/pubmed/18832363 http://dx.doi.org/10.1093/nar/gkn654 |
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