Evidence map›Paper›PMID 23593152›Full record

ArticlePloS one2013

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

Robert Ashley Cox, Maria Jesus Garcia

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Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Robert Ashley CoxDivision of Mycobacterial Research, National Institute for Medical Research, London, United Kingdom. rcox@nimr.mrc.ac.uk
Maria Jesus Garcia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroarray 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

findingsThe r-value r (i) of any ORF (ORF(i)) encoding protein p (i) was shown to be equal to the ratio of the concentrations of p (i) and so directly proportional to the ratio of the numbers of copies of p (i) per population-average cells of the two cultures. The proportionality constant can be obtained from the ratios DNA: RNA: protein. Several subgroups of ORFs were identified because they shared a particular r-value. Histograms of the number of ORFs versus the expression ratio were simulated by combining the particular r-values of several subgroups of ORFs. The largest subgroup was ORF(j) (r (j)  = 1.00± SD) which was estimated to comprise respectively 59% and 49% of ORFs of M. bovis BCG Pasteur and M. smegmatis mc(2) 155. The standard deviations reflect the properties of the cDNA preparations investigated. SIGNIFICANCE: The analysis provided a quantitative view of growth rate dependent changes in the proteomes of the mycobacteria studied. The majority of the ORFs were found to be constitutively expressed. In contrast, the protein compositions of the outer permeability barriers and cytoplasmic membranes were found to be dependent on growth rate; thus illustrating the response of bacteria to their environment. The theoretical approach applies to any cultivatable bacterium under a wide range of growth conditions.

Indexed as

Gene Expression Regulation, BacterialOligonucleotide Array Sequence AnalysisAdaptation, PhysiologicalBacterial ProteinsComputer SimulationDNA, BacterialEscherichia coliGene Expression ProfilingGenome, BacterialMycobacterium bovisMycobacterium smegmatisOpen Reading FramesRegulonRibosomesBacterial ProteinsDNA, Bacterial

Identifiers

PMID23593152
PMCPMC3625197

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.