The microbial proteome database--an automated laboratory catalogue for monitoring protein expression in bacteria

Proteomic approach to investigate MRSA

Over the past decade numerous genomes of pathogenic bacteria were fully sequenced and annotated, while others are continuously being sequenced and published. To date, the sequences of >440 bacterial genomes are publicly available for research purposes. These efforts in high-throughput sequencing parallel major improvements in methods permitting the study of whole transcriptome and proteome of bacteria. This provides a basis for a comprehensive understanding of the bacterial metabolism, adaptability to the environment, regulation, resistance pathways, and pathogenicity mechanisms of pathogens. Staphylococcus aureus is a Gram-positive human pathogen causing a wide variety of infections ranging from benign skin infections to life-threatening diseases. Furthermore, the spreading of multiresistance strains requiring the use of last-barrier drugs has resulted in the medical and scientific community focusing particularly on this pathogen. We describe here proteomic methods to prepare, identify, and analyze protein fractions, allowing the study of S. aureus on the organism level. Coupled with methods analyzing the whole bacterial transcriptome, this approach might contribute to the development of rapid diagnostic tests and to the identification of new drug targets.

A novel Bicine running buffer system for doubled sodium dodecyl sulfate - polyacrylamide gel electrophoresis of membrane proteins

A novel, Bicine-based SDS-PAGE buffer system was developed for the analysis of membrane proteins. The method involves molecular weight-based separations of fully denatured and solubilized proteins in two dimensions. This doubled SDS-PAGE (dSDS-PAGE) approach produced a diagonal arrangement of protein spots and successfully circumvented problems associated with membrane proteome analysis involving traditional gel-based methods. Membrane proteins from the anaerobic bacterium Clostridium thermocellum were used for these investigations. Tricine-dSDS-PAGE and the newly developed Bicine-dSDS-PAGE were compared with the standard glycine-dSDS-PAGE (Laemmli protocol) in their suitability to separate C. thermocellum membrane proteins. Large-format gel experiments using optimized gel preparation and running buffer conditions revealed a 112% increase in protein spot count for Tricine-dSDS-PAGE and a 151% increase for Bicine-dSDS-PAGE, compared to glycine-dSDS-PAGE. The data clearly indicated that Bicine-dSDS-PAGE is a superior method for the analysis of membrane proteins, providing enhanced resolution and protein representation.

Mass Spectrometric Identification of Proteins in Complex Post-Genomic Projects

The rapidly developing proteomics technologies help to advance the global understanding of physiological and cellular processes. The lifestyle of a study organism determines the type and complexity of a given proteomic project. The complexity of this study is characterized by a broad collection of pathway-specific subproteomes, reflecting the metabolic versatility as well as the regulatory potential of the aromatic-degrading, denitrifying bacterium 'Aromatoleum' sp. strain EbN1. Differences in protein profiles were determined using a gel-based approach. Protein identification was based on a progressive application of MALDI-TOF-MS, MALDI-TOF-MS/MS and LC-ESI-MS/MS. This progression was result-driven and automated by software control. The identification rate was increased by the assembly of a project-specific list of background signals that was used for internal calibration of the MS spectra, and by the combination of two search engines using a dedicated MetaScoring algorithm. In total, intelligent bioinformatics could increase the identification yield from 53 to 70% of the analyzed 5,050 gel spots; a total of 556 different proteins were identified. MS identification was highly reproducible: most proteins were identified more than twice from parallel 2DE gels with an average sequence coverage of >50% and rather restrictive score thresholds (Mascot >or=95, ProFound >or=2.2, MetaScore >or=97). The MS technologies and bioinformatics tools that were implemented and integrated to handle this complex proteomic project are presented. In addition, we describe the basic principles and current developments of the applied technologies and provide an overview over the current state of microbial proteome research.

Initial proteome analysis of model microorganism Haemophilus influenzae strain Rd KW20

The proteome of Haemophilus influenzae strain Rd KW20 was analyzed by liquid chromatography (LC) coupled with ion trap tandem mass spectrometry (MS/MS). This approach does not require a gel electrophoresis step and provides a rapidly developed snapshot of the proteome. In order to gain insight into the central metabolism of H. influenzae, cells were grown microaerobically and anaerobically in a rich medium and soluble and membrane proteins of strain Rd KW20 were proteolyzed with trypsin and directly examined by LC-MS/MS. Several different experimental and computational approaches were utilized to optimize the proteome coverage and to ensure statistically valid protein identification. Approximately 25% of all predicted proteins (open reading frames) of H. influenzae strain Rd KW20 were identified with high confidence, as their component peptides were unambiguously assigned to tandem mass spectra. Approximately 80% of the predicted ribosomal proteins were identified with high confidence, compared to the 33% of the predicted ribosomal proteins detected by previous two-dimensional gel electrophoresis studies. The results obtained in this study are generally consistent with those obtained from computational genome analysis, two-dimensional gel electrophoresis, and whole-genome transposon mutagenesis studies. At least 15 genes originally annotated as conserved hypothetical were found to encode expressed proteins. Two more proteins, previously annotated as predicted coding regions, were detected with high confidence; these proteins also have close homologs in related bacteria. The direct proteomics approach to studying protein expression in vivo reported here is a powerful method that is applicable to proteome analysis of any (micro)organism.

Complementing genomics with proteomics: the membrane subproteome of Pseudomonas aeruginosa PAO1

With the completion of many genome projects, a shift is now occurring from the acquisition of gene sequence to understanding the role and context of gene products within the genome. The opportunistic pathogen Pseudomonas aeruginosa is one organism for which a genome sequence is now available, including the annotation of open reading frames (ORFs). However, approximately one third of the ORFs are as yet undefined in function. Proteomics can complement genomics, by characterising gene products and their response to a variety of biological and environmental influences. In this study we have established the first two-dimensional gel electrophoresis reference map of proteins from the membrane fraction of P. aeruginosa strain PA01. A total of 189 proteins have been identified and correlated with 104 genes from the P. aeruginosa genome. Annotated membrane proteins could be grouped into three distinct categories: (i) those with functions previously characterised in P. aeruginosa (38%); (ii) those with significant sequence similarity to proteins with assigned function or hypothetical proteins in other organisms (46%); and (iii) those with unknown function (16%). Transmembrane prediction algorithms showed that each identified protein sequence contained at least one membrane-spanning region. Furthermore, the current methodology used to isolate the membrane fraction was shown to be highly specific since no contaminating cytosolic proteins were characterised. Preliminary analysis showed that at least 15 gel spots may be glycosylated in vivo, including three proteins that have not previously been functionally characterised. The reference map of membrane proteins from this organism is now the basis for determining surface molecules associated with antibiotic resistance and efflux, cell-cell signalling and pathogen-host interactions in a variety of P. aeruginosa strains.

Status of genome projects for nonpathogenic bacteria and archaea

Since the first microbial genome was sequenced in 1995, 30 others have been completed and an additional 99 are known to be in progress. Although the early emphasis of microbial genomics was on human pathogens for obvious reasons, a significant number of sequencing projects have focused on nonpathogenic organisms, beginning with the release of the complete genome sequence of the archaeon Methanococcus jannaschii in 1996. The past 18 months have seen the completion of the genomes of several unusual organisms, including Thermotoga maritima, whose genome reveals extensive potential lateral transfer with archaea; Deinococcus radiodurans, the most radiation-resistant microorganism known; and Aeropyrum pernix, the first Crenarchaeota to be completely sequenced. Although the functional characterization of genomic data is still in its initial stages, it is likely that microbial genomics will have a significant impact on environmental, food, and industrial biotechnology as well as on genomic medicine.

Comparison of proteins expressed by Pseudomonas aeruginosa strains representing initial and chronic isolates from a cystic fibrosis patient: an analysis by 2-D gel electrophoresis and capillary column liquid chromatography-tandem mass spectrometry

Isolates of Pseudomonas aeruginosa from chronic lung infections in cystic fibrosis (CF) patients have phenotypes distinct from those initially infecting CF patients, as well as from other clinical or environmental isolates. To gain a better understanding of the differences in these isolates, protein expression was followed using two-dimensional (2-D) gel electrophoresis and protein identification by peptide sequencing using micro-capillary column liquid chromatography-tandem mass spectrometry (microLC/MS/MS). The isolates selected for this analysis were from the sputum of a CF patient: strain 383 had a nonmucoid phenotype typical of isolates from the environment, and strain 2192, obtained from the same patient, had a mucoid phenotype typical of isolates from chronic CF lung infections. Strains 383 and 2192 were confirmed to be genetically identical by restriction endonuclease analysis, random amplified polymorphic DNA-PCR, and pulsed-field gel electrophoresis. Conditions of protein extraction were optimized for consistent high-resolution separation of several hundred proteins from these clinical isolates as detected by Coomassie staining of 2-D gels. Fourteen proteins were selected for analysis; this group included those whose expression was common between both strains as well as unique for each strain. The proteins were identified by microLC/MS/MS of the peptides produced by an in-gel tryptic digestion and compared to translated data from the Pseudomonas Genome Project; optimization of this technique has allowed for the comparison of proteins expressed by strains 383 and 2192.

From the analysis of protein complexes to proteome-wide linkage maps

Recent advances in genomics have led to the accumulation of an unprecedented amount of data about genes. Proteins, not genes, however, sustain function. The traditional approach to protein function analysis has been the design of smart genetic assays and powerful purification protocols to address very specific questions concerning cellular mechanisms. Lately, a number of proteome-wide functional strategies have emerged, giving rise to a new field in biology, proteomics, that addresses the biology of a cell as a whole.

Analysis of the microbial proteome

Proteomics has begun to provide insight into the biology of microorganisms. The combination of proteomics with genetics, molecular biology, protein biochemistry and biophysics is particularly powerful, resulting in novel methods to analyse complex protein mixtures. Emerging proteomic technologies promise to increase the throughput of protein identifications from complex mixtures and allow for the quantification of protein expression levels.

Subproteomics based upon protein cellular location and relative solubilities in conjunction with composite two-dimensional electrophoresis gels

Progress in the field of proteomics is dependent upon an ability to visualise close to an entire protein complement via a given array technology. These efforts have previously centred upon two-dimensional gel electrophoresis in association with immobilised pH gradients in the first dimension. However, limitations in this technology, including the inability to separate hydrophobic, basic, and low copy number proteins have hindered the analysis of complete proteomes. The challenge is now to overcome these limitations through access to new technology and improvements in existing methodologies. Proteomics can no longer be equated with a single two-dimensional electrophoresis gel. Greater information can be obtained using targeted biological approaches based upon sample prefractionation into specific cellular compartments to determine protein location, while novel immobilised pH gradients spanning single pH units can be used to display poorly abundant proteins due to their increased resolving power and loading capacity. In this study, we show the effectiveness of a combined use of two differential subproteomes (as defined by relative solubilities, cellular location and narrow-range immobilised pH gradients) to increase the resolution of proteins contained on two-dimensional gels. We also present new results confirming that this method is capable of displaying up to a further 45% of a given microbial proteome. Subproteomics, utilising up to 40 two-dimensional gels per sample will become a powerful tool for near-to-total proteome analysis in the postgenome era. Furthermore, this new approach can direct biological focus towards molecules of specific interest within complex cells and thus simplify efforts in discovery-based proteome research.