Quantification of global transcription patterns in prokaryotes using spotted microarrays

Sidders, B; Withers, M; Kendall, S L; Bacon, J; Waddell, S J; Hinds, J; Golby, P; Movahedzadeh, F; Cox, R A; Frita, R; Ten Bokum, A M C; Wernisch, L; Stoker, N G

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.

Citation

Sidders, B., Withers, M., Kendall, S. L., Bacon, J., Waddell, S. J., Hinds, J., …Stoker, N. G. (2007). Quantification of global transcription patterns in prokaryotes using spotted microarrays. Genome Biology, 8(12), R265. https://doi.org/10.1186/gb-2007-8-12-r265

• Journal Article Type: Article
• Publication Date: Dec 13, 2007
• Deposit Date: Nov 11, 2014
• Journal: Genome Biology
• Print ISSN: 1474-760X
• Electronic ISSN: 1465-6906
• Publisher: BioMed Central
• Volume: 8
• Issue: 12
• Pages: R265
• DOI: https://doi.org/10.1186/gb-2007-8-12-r265
• Public URL: https://rvc-repository.worktribe.com/output/1432999
• Additional Information: Corporate Creators : Birkbeck College, HPA, Illinois, USA, LSHTM, National Inst For Medical Research, St George's, VLA