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ProdoNet: identification and visualization of prokaryotic gene regulatory and metabolic networks
ProdoNet is a web-based application for the mapping of prokaryotic genes and the corresponding proteins to common gene regulatory and metabolic networks. For a given list of genes, the system detects shared operons, identifies co-expressed genes and deduces joint regulators. In addition, the contrib...
Autores principales: | , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447764/ https://www.ncbi.nlm.nih.gov/pubmed/18440972 http://dx.doi.org/10.1093/nar/gkn217 |
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author | Klein, Johannes Leupold, Stefan Münch, Richard Pommerenke, Claudia Johl, Thorsten Kärst, Uwe Jänsch, Lothar Jahn, Dieter Retter, Ida |
author_facet | Klein, Johannes Leupold, Stefan Münch, Richard Pommerenke, Claudia Johl, Thorsten Kärst, Uwe Jänsch, Lothar Jahn, Dieter Retter, Ida |
author_sort | Klein, Johannes |
collection | PubMed |
description | ProdoNet is a web-based application for the mapping of prokaryotic genes and the corresponding proteins to common gene regulatory and metabolic networks. For a given list of genes, the system detects shared operons, identifies co-expressed genes and deduces joint regulators. In addition, the contribution to shared metabolic pathways becomes visible on KEGG maps. Furthermore, the co-occurrence of genes of interest in gene expression profiles can be added to the visualization of the global network. In this way, ProdoNet provides the basis for functional genomics approaches and for the interpretation of transcriptomics and proteomics data. As an example, we present an investigation of an experimental membrane subproteome analysis of Pseudomonas aeruginosa with ProdoNet. The ProdoNet dataset on transcriptional regulation is based on the PRODORIC Prokaryotic Database of Gene Regulation and the Virtual Footprint tool. ProdoNet is accessible at http://www.prodonet.tu-bs.de. |
format | Text |
id | pubmed-2447764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-24477642008-07-09 ProdoNet: identification and visualization of prokaryotic gene regulatory and metabolic networks Klein, Johannes Leupold, Stefan Münch, Richard Pommerenke, Claudia Johl, Thorsten Kärst, Uwe Jänsch, Lothar Jahn, Dieter Retter, Ida Nucleic Acids Res Articles ProdoNet is a web-based application for the mapping of prokaryotic genes and the corresponding proteins to common gene regulatory and metabolic networks. For a given list of genes, the system detects shared operons, identifies co-expressed genes and deduces joint regulators. In addition, the contribution to shared metabolic pathways becomes visible on KEGG maps. Furthermore, the co-occurrence of genes of interest in gene expression profiles can be added to the visualization of the global network. In this way, ProdoNet provides the basis for functional genomics approaches and for the interpretation of transcriptomics and proteomics data. As an example, we present an investigation of an experimental membrane subproteome analysis of Pseudomonas aeruginosa with ProdoNet. The ProdoNet dataset on transcriptional regulation is based on the PRODORIC Prokaryotic Database of Gene Regulation and the Virtual Footprint tool. ProdoNet is accessible at http://www.prodonet.tu-bs.de. Oxford University Press 2008-07-01 2008-04-25 /pmc/articles/PMC2447764/ /pubmed/18440972 http://dx.doi.org/10.1093/nar/gkn217 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 Klein, Johannes Leupold, Stefan Münch, Richard Pommerenke, Claudia Johl, Thorsten Kärst, Uwe Jänsch, Lothar Jahn, Dieter Retter, Ida ProdoNet: identification and visualization of prokaryotic gene regulatory and metabolic networks |
title | ProdoNet: identification and visualization of prokaryotic gene regulatory and metabolic networks |
title_full | ProdoNet: identification and visualization of prokaryotic gene regulatory and metabolic networks |
title_fullStr | ProdoNet: identification and visualization of prokaryotic gene regulatory and metabolic networks |
title_full_unstemmed | ProdoNet: identification and visualization of prokaryotic gene regulatory and metabolic networks |
title_short | ProdoNet: identification and visualization of prokaryotic gene regulatory and metabolic networks |
title_sort | prodonet: identification and visualization of prokaryotic gene regulatory and metabolic networks |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447764/ https://www.ncbi.nlm.nih.gov/pubmed/18440972 http://dx.doi.org/10.1093/nar/gkn217 |
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