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PeroxisomeDB: a database for the peroxisomal proteome, functional genomics and disease
Peroxisomes are essential organelles of eukaryotic origin, ubiquitously distributed in cells and organisms, playing key roles in lipid and antioxidant metabolism. Loss or malfunction of peroxisomes causes more than 20 fatal inherited conditions. We have created a peroxisomal database () that include...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1747181/ https://www.ncbi.nlm.nih.gov/pubmed/17135190 http://dx.doi.org/10.1093/nar/gkl935 |
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author | Schlüter, Agatha Fourcade, Stéphane Domènech-Estévez, Enric Gabaldón, Toni Huerta-Cepas, Jaime Berthommier, Guillaume Ripp, Raymond Wanders, Ronald J. A. Poch, Olivier Pujol, Aurora |
author_facet | Schlüter, Agatha Fourcade, Stéphane Domènech-Estévez, Enric Gabaldón, Toni Huerta-Cepas, Jaime Berthommier, Guillaume Ripp, Raymond Wanders, Ronald J. A. Poch, Olivier Pujol, Aurora |
author_sort | Schlüter, Agatha |
collection | PubMed |
description | Peroxisomes are essential organelles of eukaryotic origin, ubiquitously distributed in cells and organisms, playing key roles in lipid and antioxidant metabolism. Loss or malfunction of peroxisomes causes more than 20 fatal inherited conditions. We have created a peroxisomal database () that includes the complete peroxisomal proteome of Homo sapiens and Saccharomyces cerevisiae, by gathering, updating and integrating the available genetic and functional information on peroxisomal genes. PeroxisomeDB is structured in interrelated sections ‘Genes’, ‘Functions’, ‘Metabolic pathways’ and ‘Diseases’, that include hyperlinks to selected features of NCBI, ENSEMBL and UCSC databases. We have designed graphical depictions of the main peroxisomal metabolic routes and have included updated flow charts for diagnosis. Precomputed BLAST, PSI-BLAST, multiple sequence alignment (MUSCLE) and phylogenetic trees are provided to assist in direct multispecies comparison to study evolutionary conserved functions and pathways. Highlights of the PeroxisomeDB include new tools developed for facilitating (i) identification of novel peroxisomal proteins, by means of identifying proteins carrying peroxisome targeting signal (PTS) motifs, (ii) detection of peroxisomes in silico, particularly useful for screening the deluge of newly sequenced genomes. PeroxisomeDB should contribute to the systematic characterization of the peroxisomal proteome and facilitate system biology approaches on the organelle. |
format | Text |
id | pubmed-1747181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-17471812007-02-22 PeroxisomeDB: a database for the peroxisomal proteome, functional genomics and disease Schlüter, Agatha Fourcade, Stéphane Domènech-Estévez, Enric Gabaldón, Toni Huerta-Cepas, Jaime Berthommier, Guillaume Ripp, Raymond Wanders, Ronald J. A. Poch, Olivier Pujol, Aurora Nucleic Acids Res Articles Peroxisomes are essential organelles of eukaryotic origin, ubiquitously distributed in cells and organisms, playing key roles in lipid and antioxidant metabolism. Loss or malfunction of peroxisomes causes more than 20 fatal inherited conditions. We have created a peroxisomal database () that includes the complete peroxisomal proteome of Homo sapiens and Saccharomyces cerevisiae, by gathering, updating and integrating the available genetic and functional information on peroxisomal genes. PeroxisomeDB is structured in interrelated sections ‘Genes’, ‘Functions’, ‘Metabolic pathways’ and ‘Diseases’, that include hyperlinks to selected features of NCBI, ENSEMBL and UCSC databases. We have designed graphical depictions of the main peroxisomal metabolic routes and have included updated flow charts for diagnosis. Precomputed BLAST, PSI-BLAST, multiple sequence alignment (MUSCLE) and phylogenetic trees are provided to assist in direct multispecies comparison to study evolutionary conserved functions and pathways. Highlights of the PeroxisomeDB include new tools developed for facilitating (i) identification of novel peroxisomal proteins, by means of identifying proteins carrying peroxisome targeting signal (PTS) motifs, (ii) detection of peroxisomes in silico, particularly useful for screening the deluge of newly sequenced genomes. PeroxisomeDB should contribute to the systematic characterization of the peroxisomal proteome and facilitate system biology approaches on the organelle. Oxford University Press 2007-01 2006-11-28 /pmc/articles/PMC1747181/ /pubmed/17135190 http://dx.doi.org/10.1093/nar/gkl935 Text en © 2006 The Author(s) 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 Schlüter, Agatha Fourcade, Stéphane Domènech-Estévez, Enric Gabaldón, Toni Huerta-Cepas, Jaime Berthommier, Guillaume Ripp, Raymond Wanders, Ronald J. A. Poch, Olivier Pujol, Aurora PeroxisomeDB: a database for the peroxisomal proteome, functional genomics and disease |
title | PeroxisomeDB: a database for the peroxisomal proteome, functional genomics and disease |
title_full | PeroxisomeDB: a database for the peroxisomal proteome, functional genomics and disease |
title_fullStr | PeroxisomeDB: a database for the peroxisomal proteome, functional genomics and disease |
title_full_unstemmed | PeroxisomeDB: a database for the peroxisomal proteome, functional genomics and disease |
title_short | PeroxisomeDB: a database for the peroxisomal proteome, functional genomics and disease |
title_sort | peroxisomedb: a database for the peroxisomal proteome, functional genomics and disease |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1747181/ https://www.ncbi.nlm.nih.gov/pubmed/17135190 http://dx.doi.org/10.1093/nar/gkl935 |
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