Quantification of global transcription patterns in prokaryotes using spotted microarrays

Ben Sidders; Mike Withers; Sharon L. Kendall; Joanna Bacon; Simon J. Waddell; Jason Hinds; Paul Golby; Farahnaz Movahedzadeh; Robert A. Cox; Rosangela Frita; Annemieke M.C. ten Bokum; Lorenz Wernisch; Neil G. Stoker

doi:10.1186/gb-2007-8-12-r265

Quantification of global transcription patterns in prokaryotes using spotted microarrays

Ben Sidders, Mike Withers, Sharon L. Kendall, Joanna Bacon, Simon J. Waddell, Jason Hinds, Paul Golby, Farahnaz Movahedzadeh, Robert A. Cox, Rosangela Frita, Annemieke M.C. ten Bokum, Lorenz Wernisch, Neil G. Stoker^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

36 Citations (Scopus)

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.

Original language	English
Article number	R265
Journal	Genome Biology
Volume	8
Issue number	12
DOIs	https://doi.org/10.1186/gb-2007-8-12-r265
Publication status	Published - 13 Dec 2007

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10.1186/gb-2007-8-12-r265

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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.",

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AU - Sidders, Ben

AU - Withers, Mike

AU - Kendall, Sharon L.

AU - Bacon, Joanna

AU - Waddell, Simon J.

AU - Hinds, Jason

AU - Golby, Paul

AU - Movahedzadeh, Farahnaz

AU - Cox, Robert A.

AU - Frita, Rosangela

AU - ten Bokum, Annemieke M.C.

AU - Wernisch, Lorenz

AU - Stoker, Neil G.

PY - 2007/12/13

Y1 - 2007/12/13

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AB - 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.

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VL - 8

JO - Genome Biology

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ER -

Quantification of global transcription patterns in prokaryotes using spotted microarrays

Abstract

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