title: Quantification of global transcription patterns in prokaryotes using spotted microarrays.
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.
authors: Department of Pathology and Infectious Diseases, Royal Veterinary College, Royal College Street, London, NW1 0TU, UK.
authors: Ben
authors: B
authors: Sidders
authors: Mike
authors: M
authors: Withers
authors: Sharon L
authors: SL
authors: Kendall
authors: Joanna
authors: J
authors: Bacon
authors: Simon J
authors: SJ
authors: Waddell
authors: Jason
authors: J
authors: Hinds
authors: Paul
authors: P
authors: Golby
authors: Farahnaz
authors: F
authors: Movahedzadeh
authors: Robert A
authors: RA
authors: Cox
authors: Rosangela
authors: R
authors: Frita
authors: Annemieke M C
authors: AM
authors: Ten Bokum
authors: Lorenz
authors: L
authors: Wernisch
authors: Neil G
authors: NG
authors: Stoker
mesh_terms: D020869:Gene Expression Profiling / Q000379:methods*; D023281:Genomics; D009169:Mycobacterium tuberculosis / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012333:RNA, Messenger / Q000235:genetics
chemical_list: D012333:RNA, Messenger