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Biomedical subjects

Brian J Akerley

Publications and source records attributed to Brian J Akerley.

8 recordsLinked to original sources
PubMed2005

Environmental and genetic regulation of the phosphorylcholine epitope of Haemophilus influenzae lipooligosaccharide.

In response to environmental signals in the host, bacterial pathogens express factors required during infection and repress those that interfere with specific stages of this process. Signalling pathways controlling virulence factors of the human respiratory pathogen, Haemophilus influenzae, are predominantly unknown. The lipooligosaccharide (LOS) outer core represents a prototypical virulence trait of H. influenzae that enhances virulence but also provides targets for innate and adaptive immunity. We report regulation of the display of the virulence-associated phosphorylcholine (PC) epitope on the LOS in response to environmental conditions. PC display is optimal under microaerobic conditions and markedly decreased under conditions of high culture aeration. Gene expression analysis using a DNA microarray was performed to begin to define the metabolic state of the cell under these conditions and to identify genes potentially involved in PC epitope modulation. Global gene expression profiling detected changes in redox responsive genes and in genes of carbohydrate metabolism. The effects on carbohydrate metabolism led us to examine the role of the putative H. influenzae homologue of csrA, a regulator of glycolysis and gluconeogenesis in Escherichia coli. A mutant containing an in-frame deletion of the H. influenzae csrA gene showed increased PC epitope levels under aerobic conditions. Furthermore, deletion of csrA elevated mRNA expression of galU, an essential virulence gene that is critical in generating sugar precursors needed for polysaccharide formation and LOS outer core synthesis. Growth conditions predicted to alter the redox state of the culture modulated the PC epitope and galU expression as well. The results are consistent with a multifactorial mechanism of control of LOS-PC epitope display involving csrA and environmental signals that coordinately regulate biosynthetic and metabolic genes controlling the LOS structure.

Aerobiosis↗
PubMed2004

In Silico Metabolic Model and Protein Expression of Haemophilus influenzae Strain Rd KW20 in Rich Medium.

The intermediary metabolism of Haemophilus influenzae strain Rd KW20 was studied by a combination of protein expression analysis using a recently developed direct proteomics approach, mutational analysis, and mathematical modeling. Special emphasis was placed on carbon utilization, sugar fermentation, TCA cycle, and electron transport of H. influenzae cells grown microaerobically and anaerobically in a rich medium. The data indicate that several H. influenzae metabolic proteins similar to Escherichia coli proteins, known to be regulated by low concentrations of oxygen, were well expressed in both growth conditions in H. influenzae. An in silico model of the H. influenzae metabolic network was used to study the effects of selective deletion of certain enzymatic steps. This allowed us to define proteins predicted to be essential or non-essential for cell growth and to address numerous unresolved questions about intermediary metabolism of H. influenzae. Comparison of data from in vivo protein expression with the protein list associated with a genome-scale metabolic model showed significant coverage of the known metabolic proteome. This study demonstrates the significance of an integrated approach to the characterization of H. influenzae metabolism.

Biochemistry↗
PubMed2003

Inducible expression system and marker-linked mutagenesis approach for functional genomics of Haemophilus influenzae.

Complete bacterial genomic DNA sequences have allowed application of genome-scale strategies to identify essential genes. Efficient generation of conditional loss of function mutations provides a means of characterization of this class of genes. Promoter systems conferring tight regulation are particularly applicable to generating such mutations and we sought to apply this approach for the analysis of an essential gene of Haemophilus influenzae. Therefore, we developed the use of a D-xylose-inducible promoter for verification of an essential role in growth for yraM, which encodes a putative periplasmic lipoprotein, in both H. influenzae Rd and virulent type b strains. This promoter was sufficiently tightly regulated to generate conditionally viable strains by inducible expression of YraM. A second approach was used to further characterize YraM. Natural transformation and an ordered mutant collection spanning the H. influenzae genome provide the means to target any gene of interest for mutagenesis and temperature-sensitive (TS) mutant isolation. This strategy was applied to generate a conditionally lethal allele of yraM. The resulting TS mutation was directly mapped to a single amino acid substitution within a motif conserved in all putative YraM orthologs and this mutation was shown to be sufficient to confer the TS phenotype.

Bacterial Proteins↗
PubMed2003

Position-based scanning for comparative genomics and identification of genetic islands in Haemophilus influenzae type b.

Bacteria exhibit extensive genetic heterogeneity within species. In many cases, these differences account for virulence properties unique to specific strains. Several such loci have been discovered in the genome of the type b serotype of Haemophilus influenzae, a human pathogen able to cause meningitis, pneumonia, and septicemia. Here we report application of a PCR-based scanning procedure to compare the genome of a virulent type b (Hib) strain with that of the laboratory-passaged Rd KW20 strain for which a complete genome sequence is available. We have identified seven DNA segments or H. influenzae genetic islands (HiGIs) present in the type b genome and absent from the Rd genome. These segments vary in size and content and show signs of horizontal gene transfer in that their percent G+C content differs from that of the rest of the H. influenzae genome, they contain genes similar to those found on phages or other mobile elements, or they are flanked by DNA repeats. Several of these loci represent potential pathogenicity islands, because they contain genes likely to mediate interactions with the host. These newly identified genetic islands provide areas of investigation into both the evolution and pathogenesis of H. influenzae. In addition, the genome scanning approach developed to identify these islands provides a rapid means to compare the genomes of phenotypically diverse bacterial strains once the genome sequence of one representative strain has been determined.

Amino Acid Sequence↗
PubMed2002

A genome-scale analysis for identification of genes required for growth or survival of Haemophilus influenzae.

A high-density transposon mutagenesis strategy was applied to the Haemophilus influenzae genome to identify genes required for growth or viability. This analysis detected putative essential roles for the products of 259 ORFs of unknown function. Comparisons between complete genomes defined a subset of these proteins in H. influenzae having homologs in Mycobacterium tuberculosis that are absent in Saccharomyces cerevisiae, a distribution pattern that favors their use in development of antimicrobial therapeutics. Three genes within this set are essential for viability in other bacteria. Interfacing the set of essential gene products in H. influenzae with the distribution of homologs in other microorganisms can detect components of unrecognized cellular pathways essential in diverse bacteria. This genome-scale phenotypic analysis identifies potential roles for a large set of genes of unknown function.

Base Sequence↗
PubMed2002

H. influenzae Consortium: integrative study of H. influenzae-human interactions.

Developments in high-throughput analysis tools coupled with integrative computational techniques have enabled biological studies to reach new levels. The ability to correlate large volumes of diverse data types into cohesive models of organism function has spawned a new systematic approach to biological investigation. The creation of a new consortium has been proposed to investigate a single organism utilizing these comprehensive approaches. The Haemophilus influenzae Consortium (HIC) would be comprised of five laboratories, each providing separate and complementary areas of expertise in the study of Haemophilus influenzae (HI). The 5-year study proposes to develop coherent models of HI, both as a stand-alone organism, and more importantly, as a human pathogen. Studies in growth condition specificity followed by genomic, metabolic, and proteomic experimentation will be combined and integrated through computational and experimental analyses to form dynamic and predictive models of HI and its responses. Data from the HIC will allow greater understanding of cellular behavior, pathogen-host interactions, bacterial infection, and provide future scientific endeavors with a template for studies of other pathogens.

Bacterial Adhesion↗