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Quantification of global transcription patterns in prokaryotes using spotted microarrays
We describe an analysis, applicable to any spotted microarray dataset produced using genomic DNA as a reference, that quantifies prokaryotic levels of mRNA on a genome-wide scale. Applying this to Mycobacterium tuberculosis, we validate the technique, show a correlation between level of expression a...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246267/ https://www.ncbi.nlm.nih.gov/pubmed/18078514 http://dx.doi.org/10.1186/gb-2007-8-12-r265 |
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author | Sidders, Ben Withers, Mike Kendall, Sharon L Bacon, Joanna Waddell, Simon J Hinds, Jason Golby, Paul Movahedzadeh, Farahnaz Cox, Robert A Frita, Rosangela ten Bokum, Annemieke MC Wernisch, Lorenz Stoker, Neil G |
author_facet | Sidders, Ben Withers, Mike Kendall, Sharon L Bacon, Joanna Waddell, Simon J Hinds, Jason Golby, Paul Movahedzadeh, Farahnaz Cox, Robert A Frita, Rosangela ten Bokum, Annemieke MC Wernisch, Lorenz Stoker, Neil G |
author_sort | Sidders, Ben |
collection | PubMed |
description | We describe an analysis, applicable to any spotted microarray dataset produced using genomic DNA as a reference, that quantifies prokaryotic levels of mRNA on a genome-wide scale. Applying this to Mycobacterium tuberculosis, we validate the technique, show a correlation between level of expression and biological importance, define the complement of invariant genes and analyze absolute levels of expression by functional class to develop ways of understanding an organism's biology without comparison to another growth condition. |
format | Text |
id | pubmed-2246267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22462672008-02-20 Quantification of global transcription patterns in prokaryotes using spotted microarrays Sidders, Ben Withers, Mike Kendall, Sharon L Bacon, Joanna Waddell, Simon J Hinds, Jason Golby, Paul Movahedzadeh, Farahnaz Cox, Robert A Frita, Rosangela ten Bokum, Annemieke MC Wernisch, Lorenz Stoker, Neil G Genome Biol Method We describe an analysis, applicable to any spotted microarray dataset produced using genomic DNA as a reference, that quantifies prokaryotic levels of mRNA on a genome-wide scale. Applying this to Mycobacterium tuberculosis, we validate the technique, show a correlation between level of expression and biological importance, define the complement of invariant genes and analyze absolute levels of expression by functional class to develop ways of understanding an organism's biology without comparison to another growth condition. BioMed Central 2007 2007-12-13 /pmc/articles/PMC2246267/ /pubmed/18078514 http://dx.doi.org/10.1186/gb-2007-8-12-r265 Text en Copyright © 2007 Sidders et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Sidders, Ben Withers, Mike Kendall, Sharon L Bacon, Joanna Waddell, Simon J Hinds, Jason Golby, Paul Movahedzadeh, Farahnaz Cox, Robert A Frita, Rosangela ten Bokum, Annemieke MC Wernisch, Lorenz Stoker, Neil G Quantification of global transcription patterns in prokaryotes using spotted microarrays |
title | Quantification of global transcription patterns in prokaryotes using spotted microarrays |
title_full | Quantification of global transcription patterns in prokaryotes using spotted microarrays |
title_fullStr | Quantification of global transcription patterns in prokaryotes using spotted microarrays |
title_full_unstemmed | Quantification of global transcription patterns in prokaryotes using spotted microarrays |
title_short | Quantification of global transcription patterns in prokaryotes using spotted microarrays |
title_sort | quantification of global transcription patterns in prokaryotes using spotted microarrays |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246267/ https://www.ncbi.nlm.nih.gov/pubmed/18078514 http://dx.doi.org/10.1186/gb-2007-8-12-r265 |
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