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Biomedical subjects

D S Wishart

Publications and source records attributed to D S Wishart.

At least 19 recordsLinked to original sources
PubMed2005

Metabolomics: the principles and potential applications to transplantation.

This review provides a summary of the applications and potential applications of metabolite profiling (i.e. metabolomics) in monitoring organ transplants. While the concept of metabolomics is relatively new to organ transplantation, the idea of measuring metabolites as a quick, noninvasive probe of organ function is not. Indeed, metabolite measurements of serum creatinine have long been used to assess pre- and post-operative organ function. Over the past 10 years, a number of lesser-known, organ-specific metabolites have also been shown to be good diagnostic indicators of both organ function and viability. In general, metabolomics offers a complementary picture to what can be revealed via techniques based on genomics, proteomics or histology. Because metabolic changes typically happen within seconds or minutes after an 'event', whereas some transcript, protein abundance or tissue changes may take place over days or weeks, metabolomic measurements may offer a particularly useful and inexpensive diagnostic tool to monitor donor organ viability or to detect organ rejection. The excitement associated with metabolomics, however, must be tempered by the fact that the technology for rapid metabolite identification is still in its infancy, and that metabolites are but one part of a very complex picture pertaining to organ function.

Biochemical Phenomena↗
PubMed2004

Predicting subcellular localization of proteins using machine-learned classifiers.

MOTIVATION: Identifying the destination or localization of proteins is key to understanding their function and facilitating their purification. A number of existing computational prediction methods are based on sequence analysis. However, these methods are limited in scope, accuracy and most particularly breadth of coverage. Rather than using sequence information alone, we have explored the use of database text annotations from homologs and machine learning to substantially improve the prediction of subcellular location. RESULTS: We have constructed five machine-learning classifiers for predicting subcellular localization of proteins from animals, plants, fungi, Gram-negative bacteria and Gram-positive bacteria, which are 81% accurate for fungi and 92-94% accurate for the other four categories. These are the most accurate subcellular predictors across the widest set of organisms ever published. Our predictors are part of the Proteome Analyst web-service.

Algorithms↗
PubMed2001

Production of an anti-prostate-specific antigen single-chain antibody fragment from Pichia pastoris.

Prostate-specific antigen (PSA) is a widely used marker for screening and monitoring prostate cancer. Because PSA levels are normally quite low, an antibody-based assay must be used to detect PSA. However, not all PSA-specific antibodies bind equally well to PSA or to its different isoforms. Therefore, a better understanding of how PSA interacts with PSA-specific antibodies is of considerable clinical interest. B80.3 is a widely used murine monoclonal anti-PSA antibody (IgG), which has very high affinity for both free and alpha-anti-chymotrypsin complexed PSA. More importantly, its gene sequence is known-making it one of only two anti-PSA antibodies that has been fully cloned and sequenced. To better elucidate the interaction between PSA and B80.3, a single-chain antibody fragment, derived from the variable domain of B80.3 (scFvB80), was cloned into a pPIC9 vector and expressed in Pichia pastoris. The secreted protein was purified using a three-step protocol beginning with a 50% ammonium sulfate precipitation step, followed by a T-gel thio-affinity step and concluding with a simple anion-exchange (DE52) filtration step. NMR studies indicate the protein is correctly folded while competitive enzyme-linked immunosorbant assays show that the purified scFvB80 has approximately 20% of the activity of the full-length B80.3 antibody. The protocol described here provides a quick and convenient route to prepare large quantities of very pure anti-PSA antibody fragments (15-20 mg/L culture medium) for detailed structural and biophysical characterization.

Animals↗
PubMed2001

The BioTools Suite. A comprehensive suite of platform-independent bioinformatics tools.

The BioTools Suite is a set of three comprehensive, platform-independent software packages (PepTool, GeneTool, and ChromaTool) developed for sequence assembly and analysis. In addition to supporting a large number of standard bioinformatics functions, these programs also incorporate a number of useful innovations including uniform graphical-user interface (GUI) design, direct internet connectivity, a novel approach to feature annotation, and a variety of enhanced algorithms for large scale proteome and genome analysis. This article describes the key features, recent changes, and general operation of all three programs.

Computational Biology↗
PubMed2000

Prediction of genetic structure in eukaryotic DNA using reference point logistic regression and sequence alignment.

MOTIVATION: Current software tools are moderately effective in predicting genetic structure (exons, introns, intergenic regions, and complete genes) from raw DNA sequence data. Improvements in accuracy and speed are needed to deal with the increasing volume of data from large scale sequencing projects. RESULTS: We present a two-stage computer program to predict genetic structure in eukaryotic DNA. The first stage makes use of a novel statistical technique, called reference point logistic (RPL) regression, to calculate scores for potential functional sites. These site scores are combined with interval content, length, and state scores, via a Generalized Hidden Markov Model, to determine a combined score for each possible parse of a given DNA sequence into exons, introns, and intergenic regions. An optimal parse is found using a dynamic programming algorithm. In the second stage, protein sequence alignment methods are applied to improve the accuracy of the initial parse. Computation in the first stage of the program is very fast (1 s on a 360 MHz CPU for a 16 kb sequence) and its predictive accuracy typically matches or exceeds the best results reported for other methods (Sensitivity = 0.93 and Specificity = 0.93 for the Burset/Guigótest set). Computation in the second stage is slower, but the final predictions are more accurate (Sn = 0.97, Sp = 0.97). The program (called GRPL) can handle partial, single, and multi-gene sequences. The program is also capable of predicting the genetic structure of vertebrate, invertebrate, and plant DNA with nearly equal accuracy. Statistical techniques have also been introduced to model the effects of varying C+G content in a continuous manner and to control overfitting of parameters for smaller training sets. AVAILABILITY: An academic implementation of GRPL, compiled for SUN workstations, is available by anonymous ftp from snipe.pharmacy. ualberta.ca/pub. The training and test sets used in this work, together with supplementary material, can be found at the same location. A commercial implementation is available as a component of GeneTool (BioTools Inc., http://biotools.com).

Algorithms↗
PubMed2000

PepTool and GeneTool: platform-independent tools for biological sequence analysis.

Although we are unable to discuss all of the functionality available in PepTool and GeneTool, it should be evident from this brief review that both packages offer a great deal in terms of functionality and ease-of-use. Furthermore, a number of useful innovations including platform-independent GUI design, networked parallelism, direct internet connectivity, database compression, and a variety of enhanced or improved algorithms should make these two programs particularly useful in the rapidly changing world of biological sequence analysis. More complete descriptions of the programs, algorithms and operation of PepTool and GeneTool are available on the BioTools web site (www.biotools.com), in the associated program user manuals and in the on-line Help pages.

Amino Acid Sequence↗
PubMed1999

Solution structure of carnobacteriocin B2 and implications for structure-activity relationships among type IIa bacteriocins from lactic acid bacteria.

Carnobacteriocin B2 (CbnB2), a type IIa bacteriocin, is a 48 residue antimicrobial peptide from the lactic acid bacterium Carnobacterium pisicola LV17B. Type IIa bacteriocins have a conserved YGNGVXC sequence near the N-terminus and usually contain a disulfide bridge. CbnB2 seemed to be unique in that its two cysteines (Cys9 and Cys14) could be isolated as free thiols [Quadri et al. (1994) J. Biol. Chem. 26, 12204-12211]. To establish the structural consequences of the presence or absence of a disulfide bridge and to investigate if the YGNGVXC sequence is a receptor-binding motif [Fleury et al. (1996) J. Biol. Chem. 271, 14421-14429], the three-dimensional solution structure of CbnB2 was determined by two-dimensional (1)H nuclear magnetic resonance (NMR) techniques. Mass spectroscopic and thiol modification experiments on CbnB2 and on model peptides, in conjunction with activity measurements, were used to verify the redox status of CbnB2. The results show that CbnB2 readily forms a disulfide bond and that this peptide has full antimicrobial activity. NMR results indicate that CbnB2 in trifluoroethanol (TFE) has a well-defined central helical structure (residues 18-39) but a disordered N terminus. Comparison of the CbnB2 structure with the refined solution structure of leucocin A (LeuA), another type IIa bacteriocin, indicates that the central helical structure is conserved between the two peptides despite differences in sequence but that the N-terminal structure (a proposed receptor binding site) is not. This is unexpected because LeuA and CbnB2 exhibit >66% sequence identity in the first 24 residues. This suggests that the N-terminus, which had been proposed [Fleury et al. (1996) J. Biol. Chem. 271, 14421-14429] to be a receptor binding site of type IIa bacteriocins, may not be directly involved and that recognition of the amphiphilic helical portion is the critical feature.

Amino Acid Sequence↗
PubMed1998

Efficient bispecific monoclonal antibody purification using gradient thiophilic affinity chromatography.

Bispecific monoclonal antibodies (bsMAbs), due their unique design, have a wide range of potential applications in immunodiagnostics and immunotherapy. One of the major limitations for the use of bsMAbs produced by hybrid-hybridomas is the concomitant production of parental monospecific antibodies. The relative amount of bsMAb secreted may vary between different hybrid-hybridomas. Hence, the purification of the desired bispecific molecule from other forms is crucial. Current purification methods include anion-exchange, HPLC on different matrices, and dual affinity methods. Most of those methods include multiple steps and have limitations on the purity or yield of the desired species. We report here a simple single-step purification method, using inexpensive thiophilic chromatography. This new method can potentially be scaled up, for industrial proposes. Finally, based on the amino acid sequences and assembly of the two heavy chains we attempt to explain the possible mechanism by which thiophilic chromatography was able to resolve the bsMAbs from the monospecific species.

Amino Acid Sequence↗
PubMed1998

Use of a liposome antigen delivery system to alter immune responses in vivo.

It has been reported that a certain peptide encompassing residues 129-140 of the hepatitis B virus core antigen (HBcAg) leads to a Th2-type response in C57BL/10 mice. We postulated that by formulating the peptide in liposomes along with an immune modulator known as MPLA the immune response could be directed toward a Th1-type response. If these liposomes could deliver the peptide along with MPLA to antigen presenting cells, then the immune response generated could be polarized to a Th1 response. The type of immune response initiated after immunization with the peptide HBcAg (126-140) in different formulations was determined by an ex vivo T cell proliferation assay and by analysis of the cytokine profile of the proliferating T cells. A group of C57BL/6 mice immunized with peptide plus MPLA in a liposome formulation displayed a strong T cell proliferative response. The T cell subset was identified as Th1 based on the cytokine profile. The cytokine profiles showed significant production of interferon-gamma (IFN-gamma, a Th1-type cytokine) and extremely low levels of interleukin-4 (IL-4, a Th2-type cytokine). The control group of C57BL/6 mice immunized with peptide plus alum showed a very low level of T cell proliferation, and no increase was seen in IFN-gamma or IL-4 production. These data signify that a Th1-type response occurred in mice treated with peptide in a liposome formulation but not in mice treated with the control formulation.

Adjuvants, Immunologic↗
PubMed1998

Facile measurement of polypeptide JHNH alpha coupling constants from HMQC-J spectra.

A method, based on linewidth measurements, is described which permits the rapid and facile determination of JHNH alpha coupling constants from 15N labeled proteins. Using appropriately processed HMQC-J data, we have found that a simple linear relationship exists between the half-height linewidth (delta nu1/2) of 15N-1H cross peaks and their corresponding JHNH alpha coupling constants. Tests indicate that this technique permits the accurate measurements of up to 100 JHNH alpha coupling constants in less than 30 min. Furthermore, the JHNH alpha measurements can be done manually--without the need of any computer-based curve-fitting or minimization. Comparisons between JHNH alpha values predicted from high resolution X-ray structures and those determined using this technique indicate that the method is both accurate and precise (correlation coefficient = 0.90, rmsd = 0.75 Hz).

Animals↗
PubMed1998

CAMRA: chemical shift based computer aided protein NMR assignments.

A suite of programs called CAMRA (Computer Aided Magnetic Resonance Assignment) has been developed for computer assisted residue-specific assignments of proteins. CAMRA consists of three units: ORB, CAPTURE and PROCESS. ORB predicts NMR chemical shifts for unassigned proteins using a chemical shift database of previously assigned homologous proteins supplemented by a statistically derived chemical shift database in which the shifts are categorized according to their residue, atom and secondary structure type. CAPTURE generates a list of valid peaks from NMR spectra by filtering out noise peaks and other artifacts and then separating the derived peak list into distinct spin systems. PROCESS combines the chemical shift predictions from ORB with the spin systems identified by CAPTURE to obtain residue specific assignments. PROCESS ranks the top choices for an assignment along with scores and confidence values. In contrast to other auto-assignment programs, CAMRA does not use any connectivity information but instead is based solely on matching predicted shifts with observed spin systems. As such, CAMRA represents a new and unique approach for the assignment of protein NMR spectra. CAMRA will be particularly useful in conjunction with other assignment methods and under special circumstances, such as the assignment of flexible regions in proteins where sufficient NOE information is generally not available. CAMRA was tested on two medium-sized proteins belonging to the chemokine family. It was found to be effective in predicting the assignment providing a database of previously assigned proteins with at least 30% sequence identity is available. CAMRA is versatile and can be used to include and evaluate heteronuclear and three-dimensional experiments.

Amino Acid Sequence↗
PubMed1998

Unusual beta-sheet periodicity in small cyclic peptides.

Cyclic peptide homologs of gramicidin S containing 6, 8, 10, 12, 14 and 16 residues were synthesized and characterized using circular dichroism (CD) and 1H NMR spectroscopy. Based on the three-dimensional structures generated from these data we have found strong evidence of a periodic sequence-length dependence on beta-sheet content. In particular, peptides of length 6, 10 and 14 residues exhibit a high beta-sheet content, while peptides of 8, 12 and 16 residues appear to exist as random coils. This unusual beta-sheet periodicity may have important implications in our understanding of beta-sheet formation and in the design of constrained beta-sheet and beta-hairpin mimics.

Amino Acid Sequence↗
PubMed1998

Protein chemical shift analysis: a practical guide.

Proper protein chemical shift analysis requires careful experimental measurements and the implementation of standardized referencing procedures. In this article we outline the steps necessary to ensure proper chemical shift referencing and the selection criteria for choosing appropriate "random coil" amino acid chemical shift values for predicting, comparing, and assigning 1H, 13C, and 15N resonances in proteins. By making use of these standardized conditions we demonstrate how several recently developed methods, namely homologous assignment techniques and empirical chemical shift contour maps (or hypersurfaces), can significantly improve the accuracy of chemical shift prediction for 1H, 13C, and 15N nuclei. In addition to illustrating the potential utility of chemical shift prediction, we also outline procedures for identifying secondary structure elements through heteronuclear chemical shift analysis and further demonstrate how empirical shift contour maps can actually be used to refine, and more importantly generate, reasonably good three-dimensional protein structures.

Amino Acids↗