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Microarray Analysis of Bacterial Gene Expression: Towards the Regulome

Microarray technology allows co-regulated genes to be identified. In order to identify genes that are controlled by specific regulators, gene expression can be compared in mutant and wild-type bacteria. However, there are a number of pitfalls with this approach; in particular, the regulator may not...

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Detalles Bibliográficos
Autores principales: Kendall, Sharon L., Movahedzadeh, Farahnaz, Wietzorrek, Andreas, Stoker, Neil G.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2448436/
https://www.ncbi.nlm.nih.gov/pubmed/18629272
http://dx.doi.org/10.1002/cfg.193
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author Kendall, Sharon L.
Movahedzadeh, Farahnaz
Wietzorrek, Andreas
Stoker, Neil G.
author_facet Kendall, Sharon L.
Movahedzadeh, Farahnaz
Wietzorrek, Andreas
Stoker, Neil G.
author_sort Kendall, Sharon L.
collection PubMed
description Microarray technology allows co-regulated genes to be identified. In order to identify genes that are controlled by specific regulators, gene expression can be compared in mutant and wild-type bacteria. However, there are a number of pitfalls with this approach; in particular, the regulator may not be active under the conditions in which the wild-type strain is cultured. Once co-regulated genes have been identified, proteinbinding motifs can be identified. By combining these data with a map of promoters, or operons (the operome), the regulatory networks in the cell (the regulome) can start to be built up.
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spelling pubmed-24484362008-07-14 Microarray Analysis of Bacterial Gene Expression: Towards the Regulome Kendall, Sharon L. Movahedzadeh, Farahnaz Wietzorrek, Andreas Stoker, Neil G. Comp Funct Genomics Research Article Microarray technology allows co-regulated genes to be identified. In order to identify genes that are controlled by specific regulators, gene expression can be compared in mutant and wild-type bacteria. However, there are a number of pitfalls with this approach; in particular, the regulator may not be active under the conditions in which the wild-type strain is cultured. Once co-regulated genes have been identified, proteinbinding motifs can be identified. By combining these data with a map of promoters, or operons (the operome), the regulatory networks in the cell (the regulome) can start to be built up. Hindawi Publishing Corporation 2002-08 /pmc/articles/PMC2448436/ /pubmed/18629272 http://dx.doi.org/10.1002/cfg.193 Text en Copyright © 2002 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kendall, Sharon L.
Movahedzadeh, Farahnaz
Wietzorrek, Andreas
Stoker, Neil G.
Microarray Analysis of Bacterial Gene Expression: Towards the Regulome
title Microarray Analysis of Bacterial Gene Expression: Towards the Regulome
title_full Microarray Analysis of Bacterial Gene Expression: Towards the Regulome
title_fullStr Microarray Analysis of Bacterial Gene Expression: Towards the Regulome
title_full_unstemmed Microarray Analysis of Bacterial Gene Expression: Towards the Regulome
title_short Microarray Analysis of Bacterial Gene Expression: Towards the Regulome
title_sort microarray analysis of bacterial gene expression: towards the regulome
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2448436/
https://www.ncbi.nlm.nih.gov/pubmed/18629272
http://dx.doi.org/10.1002/cfg.193
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