Biomedical subjects

Sharon L Kendall

Publications and source records attributed to Sharon L Kendall.

4 recordsLinked to original sources

PubMed2005

A GAF domain in the hypoxia/NO-inducible Mycobacterium tuberculosis DosS protein binds haem.

The majority of the Mycobacterium tuberculosis response to hypoxia and nitric oxide is through the DosRS (DevRS) two-component regulatory system. The N-terminal input domain of the DosS sensor contains two GAF domains. We demonstrate here that the proximal GAF domain binds haem, and identified histidine 149 of DosS as critical to haem-binding; the location of this histidine residue is similar to the cGMP-binding site in a crystal structure of cyclic nucleotide phosphodiesterase 2A. GAF domains are frequently involved in binding cyclic nucleotides, but this is the first GAF domain to be identified that binds haem. In contrast, PAS domains (similar to GAF domains in structure but not primary sequence) frequently use haem cofactors, and these findings further illustrate how the functions of these domains overlap. We propose that the activation of the DosS sensor is controlled through the haem binding of molecular oxygen or nitric oxide.

Amino Acid Sequence↗

PubMed2004

What do microarrays really tell us about M. tuberculosis?

Bacterial pathogens adapt to their host environments to a large extent through switching on complex transcriptional programmes, and whole-genome microarray experiments promise to reveal this complexity. There has been a recent burst of articles reporting transcriptome analyses of Mycobacterium tuberculosis, including for the first time studies in macrophages and mice. We review gene expression reports, and compare them with each other and with microarray-based gene essentiality studies, revealing at times a startling lack of correlation. Additionally, we suggest a standardization format for the submission of processed data for publication, to facilitate cross-experiment analyses.

Animals↗

PubMed2004

The Mycobacterium tuberculosis ino1 gene is essential for growth and virulence.

Inositol is utilized by Mycobacterium tuberculosis in the production of its major thiol and of essential cell wall lipoglycans. We have constructed a mutant lacking the gene encoding inositol-1-phosphate synthase (ino1), which catalyses the first committed step in inositol synthesis. This mutant is only viable in the presence of extremely high levels of inositol. Mutant bacteria cultured in inositol-free medium for four weeks showed a reduction in levels of mycothiol, but phosphatidylinositol mannoside, lipomannan and lipoarabinomannan levels were not altered. The ino1 mutant was attenuated in resting macrophages and in SCID mice. We used site-directed mutagenesis to alter four putative active site residues; all four alterations resulted in a loss of activity, and we demonstrated that a D310N mutation caused loss of the active site Zn2+ ion and a conformational change in the NAD+ cofactor.

Amino Acid Sequence↗

PubMed2003

Analysis of whole-genome microarray replicates using mixed models.

MOTIVATION: Microarray experiments are inherently noisy. Replication is the key to estimating realistic fold-changes despite such noise. In the analysis of the various sources of noise the dependency structure of the replication needs to be taken into account. RESULTS: We analyzed replicate data sets from a Mycobacterium tuberculosis trcS mutant in order to identify differentially expressed genes and suggest new methods for filtering and normalizing raw array data and for imputing missing values. Mixed ANOVA models are applied to quantify the various sources of error. Such analysis also allows us to determine the optimal number of samples and arrays. Significance values for differential expression are obtained by a hierarchical bootstrapping scheme on scaled residuals. Four highly upregulated genes, including bfrB, were analyzed further. We observed an artefact, where transcriptional readthrough from these genes led to apparent upregulation of adjacent genes. AVAILABILITY: All methods and data discussed are available in the package YASMAhttp://www.cryst.bbk.ac.uk/wernisch/yasma.html for the statistical data analysis system R (http://www.R-project.org).

Algorithms↗