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 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.
Sidders
Ben
B
Department of Pathology and Infectious Diseases, Royal Veterinary College, Royal College Street, London, NW1 0TU, UK.
Withers
Mike
M
Kendall
Sharon L
SL
Bacon
Joanna
J
Waddell
Simon J
SJ
Hinds
Jason
J
Golby
Paul
P
Movahedzadeh
Farahnaz
F
Cox
Robert A
RA
Frita
Rosangela
R
Ten Bokum
Annemieke M C
AM
Wernisch
Lorenz
L
Stoker
Neil G
NG
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
D012333:RNA, Messenger