Unknown

Dataset Information

Adaptation of mycobacteria to growth conditions: a theoretical analysis of changes in gene expression revealed by microarrays.


ABSTRACT:

Background

Microarray analysis is a powerful technique for investigating changes in gene expression. Currently, results (r-values) are interpreted empirically as either unchanged or up- or down-regulated. We now present a mathematical framework, which relates r-values to the macromolecular properties of population-average cells. The theory is illustrated by the analysis of published data for two species; namely, Mycobacterium bovis BCG Pasteur and Mycobacterium smegmatis mc(2) 155. Each species was grown in a chemostat at two different growth rates. Application of the theory reveals the growth rate dependent changes in the mycobacterial proteomes.

Principal findings

The r-value r (i) of any ORF (ORF(i)) encoding protein p (i) was shown to be equal to the ratio of the concent

SUBMITTER: Cox RA 

PROVIDER: S-EPMC3625197 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature