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The term "proteome" was first introduced into the scientific literature in July 1995. Almost 20 years ago attempts to characterize the "total protein complement able to be encoded by a given genome" only became possible due to privileged access to what were then the world's most complete sets of genomic data. Today, proteomics has become an important pillar in the fields of disease diagnosis and drug research and development, while also playing a critical role in the much larger field of Healthcare Analytics and Biomarker Discovery and Detection. It is important to note that this industry originated mostly from building blocks in analytical science that predated the term "proteomics" by many decades. However, proteomics, as a discipline, has allowed protein scientists to more favorably compete in the face of highly fashionable Big Science and, more specifically, genomics.

Bacteriophages have a potentially important role to play in reducing the global incidence of Hospital Acquired Infection (HAI). Their use should be focused on reducing the use and over-use of antibiotics as part of integrated control measures in conjunction with various vaccination, sanitation procedures and prophylactic and treatment regimens. Bacteriophages offer exquisite specificity and efficacy in killing target bacterial strains, a phenomenon known for almost 100 years. However, their efficacy with respect to broad-spectrum antibiotics is poor due to the highly strain-selective nature of their killing and their rapid elimination from the body. Bacteriophage killing is a naturally-occurring process capable of limiting and eliminating bacterial populations in humans. This is achieved through exponential amplification of their number, if and when, they encounter a target bacterium. Unfortunately, processes employed for their commercial production today do not meet the same rigour as dictated for pharmaceutical products. Batch-to-batch reproducibility and molecular definition of target and phage strains must be demanded before their clinical use can become widespread. Elsewhere, historical data have demonstrated safety in humans beyond any doubt. Because patients continue to die in our healthcare centers internationally, the use of bacteriophage to help fight HAI should be reassessed. Here, relevant literature is reviewed.

Mycoplasma genitalium is the smallest member of the class Mollicutes, with a genome size of 580 kb. It has the potential to express 480 gene products, and is therefore considered to be an excellent model to assess: (a) the minimum metabolism required by a free living cell; and (b) proteomic technologies and the information obtained by proteome analysis. Here, we report on the most complete proteome observed at 73% (expected proteome), and analysed at 33% (reported proteome). The use of four overlapping pH windows in conjunction with SDS/PAGE has allowed 427 distinct proteins to be resolved in association with the exponential growth of M. genitalium. Proof of expression for 201 proteins of sufficient abundance on silver stained two-dimensional gels was obtained using peptide mass fingerprinting (PMF) of which 158 were identified. The potential for gene product modification in even the simplest known self-replicating organism was quantified at a ratio of 1.22 : 1, more proteins than genes. A reduction in protein expression of 42% was observed for post-exponentially-grown cells. DnaK, GroEL, DNA gyrase, and a cytadherence accessory protein were significantly elevated, while some ribosomal proteins were reduced in relative abundance. The strengths and weaknesses of techniques employed were assessed with respect to the observed and predicted proteome derived from DNA sequence information. Proteomics was shown to provide a perspective into the biochemical and metabolic activities of this organism, beyond that obtainable by sequencing alone.

The malate (MDH) and lactate (LDH) dehydrogenases belong to the homologous class of 2-ketoacid dehydrogenases. The specificity for their respective substrates depends on residues differing at two or three regions within each molecule. Theoretical peptide-mass fingerprinting and PROSITE analysis of nine MDH and six LDH molecules were used to describe conserved sites related to function. A unique LDH is described which probably also confers MDH activity within the 580 kbp genome of Mycoplasma genitalium (class: Mollicutes). A single hydrophilic arginine residue was found in the active site of the M. genitalium LDH enzyme, differing from an hydrophobic residue normally present in these molecules. The effect of this residue may be to alter active site substrate specificity, allowing the enzyme to perform two closely related tasks. Evidence for a single gene affording dual enzymatic function is discussed in terms of genome size reduction in the simplest of free-living organisms. Since Mollicutes are thought to lack enzymes of the tricarboxylic acid cycle that would otherwise bind and interact with MDH in bacterial species possessing this pathway, active site modification of M. genitalium LDH is the sole requirement for MDH activity of this molecule. The closely related helical Mollicute, Spiroplasma melliferum, was shown to possess two distinct gene products for MDH/LDH activity.

Group A streptococcus (GAS), also know as Streptococcus pyogenes, is a human pathogen and can cause several fatal invasive diseases such as necrotising fasciitis, the so-called flesh-eating disease, and toxic shock syndrome. The destruction of connective tissue and the hyaluronic acid (HA) therein, is a key element of GAS pathogenesis. We therefore propagated GAS in HA-enriched growth media in an attempt to create a simple biological system that could reflect some elements of GAS pathogenesis. Our results show that several recognised virulence factors were up-regulated in HA-enriched media, including the M1 protein, a collagen-like surface protein and the glycolytic enzyme glyceraldehyde-3-phosphate dehydrogenase, which has been shown to play important roles in streptococcal pathogenesis. Interestingly, two hypothetical proteins of unknown function were also up-regulated and detailed bioinformatics analysis showed that at least one of these hypothetical proteins is likely to be involved in pathogenesis. It was therefore concluded that this simple biological system provided a valuable tool for the identification of potential GAS virulence factors.

The ability to efficiently produce hundreds of proteins in parallel is the most basic requirement of many aspects of proteomics. Overcoming the technical and financial barriers associated with high throughput protein production is essential for the development of an experimental platform to query and browse the protein content of a cell (e.g. protein and antibody arrays). Proteins are inherently different one from another in their physicochemical properties; therefore, no single protocol can be expected to successfully express most of the proteins. Instead of optimizing a protocol to express a specific protein, we used sequence analysis tools to estimate the probability of a specific protein to be expressed successfully using a given protocol, thereby avoiding a priori proteins with a low success probability. A set of 547 proteins, to be used for antibody production and selection, was expressed in Escherichia coli using a high throughput protein production pipeline. Protein properties derived from sequence alone were correlated to successful expression, and general guidelines are given to increase the efficiency of similar pipelines. A second set of 68 proteins was expressed to investigate the link between successful protein expression and inclusion body formation. More proteins were expressed in inclusion bodies; however, the formation of inclusion bodies was not a requirement for successful expression.

(1996). Progress with Proteome Projects: Why all Proteins Expressed by a Genome Should be Identified and How To Do It. Biotechnology and Genetic Engineering Reviews: Vol. 13, No. 1, pp. 19-50.

A set of 1438 human exons was subjected to nested PCR. The initial success rate using a standard PCR protocol required for ligation-independent cloning was 83.4%. Logistic regression analysis was conducted on 27 primer- and template-related characteristics, of which most could be ignored apart from those related to the GC content of the template. Overall GC content of the template was a good predictor for PCR success; however, specificity and sensitivity values for predicted outcome were improved to 84.3 and 94.8%, respectively, when regionalized GC content was employed. This represented a significant improvement in predictability with respect to GC content alone (P < 0.001; chi(2)) and is expected to increase in relative sensitivity as template size increases. Regionalized GC was calculated with respect to a threshold of 61% GC content and a sliding window of 21 bp across the target sequence. Fine-tuning of PCR conditions is not practicable for all target sequences whenever a large number of genes of different lengths and GC content are to be amplified in parallel, particularly if total open reading frame or domain coverage is essential for recombinant protein synthesis. Thus, the present method is proposed as a means of grouping subsets of genes possessing potentially difficult target sequences so that PCR conditions can be optimized separately in order to obtain improved outcomes.