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Quantification of global transcription patterns in prokaryotes using spotted microarrays

Sidders, B; Withers, M; Kendall, SL; Bacon, J; Waddell, SJ; Hinds, J; Golby, P; Movahedzadeh, F; Cox, RA; Frita, R; et al. Sidders, B; Withers, M; Kendall, SL; Bacon, J; Waddell, SJ; Hinds, J; Golby, P; Movahedzadeh, F; Cox, RA; Frita, R; Ten Bokum, AM; Wernisch, L; Stoker, NG (2007) Quantification of global transcription patterns in prokaryotes using spotted microarrays. GENOME BIOLOGY, 8 (12). R265 (1) - -R265 (13). ISSN 1474-760X https://doi.org/10.1186/gb-2007-8-12-r265
SGUL Authors: Hinds, Jason

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Abstract

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.

Item Type: Article
Additional Information: Copyright © 2007 Sidders et al.; licensee BioMed Central Ltd. 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.
Keywords: Gene Expression Profiling, Genomics, Mycobacterium tuberculosis, Oligonucleotide Array Sequence Analysis, RNA, Messenger, Science & Technology, Life Sciences & Biomedicine, Biotechnology & Applied Microbiology, Genetics & Heredity, BIOTECHNOLOGY & APPLIED MICROBIOLOGY, GENETICS & HEREDITY, COMPLETE GENOME SEQUENCE, MYCOBACTERIUM-TUBERCULOSIS, GENE-EXPRESSION, BACILLUS-SUBTILIS, ESCHERICHIA-COLI, PROTEIN ABUNDANCE, DNA MICROARRAY, MESSENGER-RNA, VIRULENCE, COMPLEX, Bioinformatics, 05 Environmental Sciences, 06 Biological Sciences, 08 Information And Computing Sciences
SGUL Research Institute / Research Centre: Academic Structure > Infection and Immunity Research Institute (INII)
Journal or Publication Title: GENOME BIOLOGY
ISSN: 1474-760X
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Dates:
DateEvent
13 December 2007Published
Web of Science ID: WOS:000253451800018
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URI: http://openaccess.sgul.ac.uk/id/eprint/695
Publisher's version: https://doi.org/10.1186/gb-2007-8-12-r265

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