Andrew A. Gooley

NetOglyc: Prediction of mucin type O-glycosylation sites based on sequence context and surface accessibility

The specificities of the UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferases which link the carbohydrate GalNAc to the side-chain of certain serine and threonine residues in mucin type glycoproteins, are presently unknown. The specificity seems to be modulated by sequence context, secondary structure and surface accessibility. The sequence context of glycosylated threonines was found to differ from that of serine, and the sites were found to cluster. Non-clustered sites had a sequence context different from that of clustered sites. Charged residues were disfavoured at position – 1 and +3. A jury of artificial neural networks was trained to recognize the sequence context and surface accessibility of 299 known and verified mucin type O-glycosylation sites extracted from O-GLYCBASE. The cross-validated NetOglyc network system correctly found 83% of the glycosylated and 90% of the non-glycosylated serine and threonine residues in independent test sets, thus proving more accurate than matrix statistics and vector projection methods. Predictions of O-glycosylation sites in the envelope glycoprotein gp120 from the primate lentiviruses HIV-1, HIV-2 and SIV are presented. The most conserved O-glycosylation signals in these evolutionary-related glycoproteins were found in their first hypervariable loop, V1. However, the strain variation for HIV-1 gp120 was significant. A computer server, available through WWW or E-mail, has been developed for prediction of mucin type O-glycosylation sites in proteins based on the amino acid sequence. The server addresses are http://www.cbs.dtu.dk/services/NetOGlyc/ and netOglyc@cbs.dtu.dk.

Protein phosphorylation: technologies for the identification of phosphoamino acids.

Protein phosphorylation plays a central role in many biological and biomedical phenomena. In this review, while a brief overview of the occurrence and function of protein phosphorylation is given, the primary focus is on studies related to the detection and analysis of phosphorylation both in vivo and in vitro. We focus on phosphorylation of serine, threonine and tyrosine, the most commonly phosphorylated amino acids in eukaryotes. Technologies such as radiolabelling, antibody recognition, chromatographic methods (HPLC, TLC), electrophoresis, Edman sequencing and mass spectrometry are reviewed. We consider the speed, simplicity and sensitivity of tools for detection and identification of protein phosphorylation, as well as quantitation and site characterisation. The limitations of currently available methods are summarised.

Proteomics: Capacity versus utility

Until recently scientists studied genes or proteins one at a time. With improvements in technology, new tools have become available to study the complex interactions that occur in biological systems. Global studies are required to do this, and these will involve genomic and proteomic approaches. High‐throughput methods are necessary in each case because the number of genes and proteins in even the simplest of organisms are immense. In the developmental phase of genomics, the emphasis was on the generation and assembly of large amounts of nucleic acid sequence data. Proteomics is currently in a phase of technological development and establishment, and demonstrating the capacity for high throughput is a major challenge. However, funding bodies (both in the public and private sector) are increasingly focused on the usefulness of this capacity. Here we review the current state of proteome research in terms of capacity and utility.

Extraction of Escherichia coli proteins with organic solvents prior to two-dimensional electrophoresis.

Compared to soluble proteins, hydrophobic proteins, in particular membrane proteins, are an underrepresented protein species on two‐dimensional (2‐D) gels. One possibility is that many hydrophobic proteins are simply not extracted from the sample prior to 2‐D gel separation. We attempted to isolate hydrophobic proteins from Escherichia coli by extracting with organic solvents, then reconstituting the extracted proteins in highly solubilising sample solution amenable to 2‐D electrophoresis using immobilized pH gradients (IPGs). This was conducted by an extraction with a mixture of chloroform and methanol, followed by solubilisation using a combination of urea, thiourea, sulfobetaine detergents and tributyl phosphine. Peptide mass fingerprinting assisted in the identification of 13 proteins, 8 of which have not previously been reported on 2‐D gels. Five of these new proteins possess a positive hydropathy plot. These results suggest that organic solvent extractions may be useful for selectively isolating some proteins that have previously been missing from proteome maps.

What place for polyacrylamide in proteomics

Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) continues to deliver high quality protein resolution and dynamic range for the proteomics researcher. To remain as the preferred method for protein separation and characterization, several key steps need to be implemented to ensure quality sample preparation and speed of analysis. Here, we describe the progress made towards establishing 2D-PAGE as the optimal separation tool for proteomics research.

Isolation from an Ant Myrmecia gulosa of Two Inducible O-Glycosylated Proline-rich Antibacterial Peptides

Reported here is the isolation and characterization of two antibacterial peptides synthesized in an antMyrmecia gulosa in response to bacterial challenge. The peptides were purified by reversed-phase high performance liquid chromatography and characterized by peptide sequencing and mass spectrometry. Both peptides were formed from 16 amino acids, were rich in proline (∼30%), and had N-acetylgalactosamineO-linked to a conserved threonine. The activity of a synthetic non-glycosylated isoform was markedly reduced demonstrating that glycosylation was necessary for maximum activity. The peptides were active only against growing Escherichia coli. They were inactive against stationary cells, Gram-positive bacteria, the yeast Candida albicans, two species of mammalian cells, and bovine pestivirus.

Glycosylation sites identified by detection of glycosylated amino acids released from Edman degradation: The identification of Xaa-Pro-Xaa-Xaa as a motif for Thr-O-glycosylation

Here we report the use of automated Edman degradation of covalently linked glycopeptides to identify positively the sites of O- and N-glycosylation. The O-glycosidic linkage of carbohydrate to the hydroxy amino acids Ser and Thr is a major form of post-translational modification. However, unlike Asn-linked glycosylation, which is identified by the consensus sequence Asn-Xaa-Thr/Ser, no simple motif conferring O-linkage to Thr and Ser has been described. After sequencing glycopeptides derived from two cell surface glycoproteins, a Thr-O-glycosylation motif of Xaa-Pro-Xaa-Xaa, where at least one Xaa = Thr(Sac), has been defined. This motif predicts the site(s) of Pro- associated Thr-O-glycosylation in O-glycosylated proteins, although it is clear that there are also other forms of Thr-O-glycosylation not associated with Pro.

High Throughput Peptide Mass Fingerprinting and Protein Macroarray Analysis Using Chemical Printing Strategies

We describe a chemical printer that uses piezoelectric pulsing for rapid, accurate, and non-contact microdispensing of fluid for proteomic analysis of immobilized protein macroarrays. We demonstrate protein digestion and peptide mass fingerprinting analysis of human plasma and platelet proteins direct from a membrane surface subsequent to defined microdispensing of trypsin and matrix solutions, hence bypassing multiple liquid-handling steps. Detection of low abundance, alkaline proteins from whole human platelet extracts has been highlighted. Membrane immobilization of protein permits archiving of samples pre-/post-analysis and provides a means for subanalysis using multiple chemistries. This study highlights the ability to increase sequence coverage for protein identification using multiple enzymes and to characterize N-glycosylation modifications using a combination of PNGase F and trypsin. We also demonstrate microdispensing of multiple serum samples in a quantitative microenzyme-linked immunosorbent assay format to rapidly screen protein macroarrays for pathogen-derived antigens. We anticipate the chemical printer will be a major component of proteomic platforms for high throughput protein identification and characterization with widespread applications in biomedical and diagnostic discovery.

Improved high-performance liquid chromatography of amino acids derivatised with 9-fluorenylmethyl chloroformate

Abstract An improved high-performance liquid chromatography method for the separation of amino acids derivatised with 9-fluorenylmethyl chloroformate (Fmoc) is described. This method, in conjunction with a multi-tasking program, not only allows high automatic througput but also offers baseline resolution of the common Fmoc-amino acids from a linear acetonitrile gradient, greater chromatographic reproducibility over the life of the column (800 runs) and easy column regeneration. The methods described are shown to be suitable for analysis of hydrolysates of proteins from two-dimensional gels for protein identification purposes, and will also be useful for routine quality control and screening of biological samples.

Large-scale amino-acid analysis for proteome studies

Amino-acid analysis is a relatively new method for identification of proteins separated by two-dimensional gel electrophoresis and blotted onto polyvinylidene difluoride (PVDF) membranes. This article describes modified amino-acid analysis methods for this purpose. Streamlined sample handling is a key feature of the process. To minimise sample manipulation, a single vial is used for hydrolysis and the protein hydrolysate on PVDF membrane is extracted by a one-step procedure. The hydrolysate should not be stored for long periods before analysis. Applications of the technique are presented to demonstrate the identification procedure. This approach is the most cost-effective and time-effective first step in mass protein screening for a large-scale proteome project.