Richard Barry

Microfluidics in biotechnology

Microfluidics enables biotechnological processes to proceed on a scale (microns) at which physical processes such as osmotic movement, electrophoretic-motility and surface interactions become enhanced. At the microscale sample volumes and assay times are reduced, and procedural costs are lowered. The versatility of microfluidic devices allows interfacing with current methods and technologies. Microfluidics has been applied to DNA analysis methods and shown to accelerate DNA microarray assay hybridisation times. The linking of microfluidics to protein analysis techologies, e.g. mass spectrometry, enables picomole amounts of peptide to be analysed within a controlled micro-environment. The flexibility of microfluidics will facilitate its exploitation in assay development across multiple biotechnological disciplines.

Competitive Assay Formats for High-Throughput Affinity Arrays

The authors describe a novel method for the quantitation of differential levels of biomolecules using unlabeled samples and protein-binding arrays for assessing differential expression. Traditional affinity arrays, whether in microplates or protein microarrays, suffer from a few common problems—a shortage of characterized antibodies and highly variable affinities for those available. Also, the assayed proteins could be present in a wide range of concentrations and physicochemical properties, so that it becomes an onerous task to optimize assay conditions for each antibody-antigen pair. Currently, this restricts parallel affinity assays to a low number of carefully selected antibodies and restricts the development of highly multiplexed parallel affinity assays. A displacement strategy allows the use of a much wider range of antibodies, reducing the requirement for matched affinities. The competitive assays described here also show a much higher tolerance for nonspecific background noise. The range of assayed protein concentrations is only limited by the sensitivity of the detection system used. (Journal of Biomolecular Screening 2003:257-263)

Combinatorial peptidomics: a generic approach for protein expression profiling

Traditional approaches to protein profiling were built around the concept of investigating one protein at a time and have long since reached their limits of throughput. Here we present a completely new approach for comprehensive compositional analysis of complex protein mixtures, capable of overcoming the deficiencies of current proteomics techniques. The Combinatorial methodology utilises the peptidomics approach, in which protein samples are proteolytically digested using one or a combination of proteases prior to any assay being carried out. The second fundamental principle is the combinatorial depletion of the crude protein digest (i.e. of the peptide pool) by chemical crosslinking through amino acid side chains. Our approach relies on the chemical reactivities of the amino acids and therefore the amino acid content of the peptides (i.e. their information content) rather than their physical properties. Combinatorial peptidomics does not use affinity reagents and relies on neither chromatography nor electrophoretic separation techniques. It is the first generic methodology applicable to protein expression profiling, that is independent of the physical properties of proteins and does not require any prior knowledge of the proteins. Alternatively, a specific combinatorial strategy may be designed to analyse a particular known protein on the basis of that protein sequence alone or, in the absence of reliable protein sequence, even the predicted amino acid translation of an EST sequence. Combinatorial peptidomics is especially suitable for use with high throughput micro- and nano-fluidic platforms capable of running multiple depletion reactions in a single disposable chip.

Selection strategy and the design of hybrid oligonucleotide primers for RACE-PCR: cloning a family of toxin-like sequences from Agelena orientalis

Backgroundthe use of specific but partially degenerate primers for nucleic acid hybridisations and PCRs amplification of known or unknown gene families was first reported well over a decade ago and the technique has been used widely since then.Resultshere we report a novel and successful selection strategy for the design of hybrid partially degenerate primers for use with RT-PCR and RACE-PCR for the identification of unknown gene families. The technique (named PaBaLiS) has proven very effective as it allowed us to identify and clone a large group of mRNAs encoding neurotoxin-like polypeptide pools from the venom of Agelena orientalis species of spider. Our approach differs radically from the generally accepted CODEHOP principle first reported in 1998. Most importantly, our method has proven very efficient by performing better than an independently generated high throughput EST cloning programme. Our method yielded nearly 130 non-identical sequences from Agelena orientalis, whilst the EST cloning technique yielded only 48 non-identical sequences from 2100 clones obtained from the same Agelena material. In addition to the primer design approach reported here, which is almost universally applicable to any PCR cloning application, our results also indicate that venom of Agelena orientalis spider contains a much larger family of related toxin-like sequences than previously thought.Conclusionwith upwards of 100,000 species of spider thought to exist, and a propensity for producing diverse peptide pools, many more peptides of pharmacological importance await discovery. We envisage that some of these peptides and their recombinant derivatives will provide a new range of tools for neuroscience research and could also facilitate the development of a new generation of analgesic drugs and insecticides.

Reproducibility of targeted gene expression measurements in human islets of Langerhans

The expression of 47 genes involved in the biosynthesis and secretion of insulin, apoptosis, and cellular stress was evaluated in isolated human islets using cDNA probes arrayed on nitrocellulose membranes. Isolated human islets were cultured for four days, or one month, with glucose present at a concentration of either 5.5 or 16.7 mmol/L. Extracted islet total RNA was used to generate [32P]dATP-labelled complex cDNA targets and hybridised with immobilised cDNA arrays. The positive expression of 45 mRNA transcripts in isolated human islets was documented. The coefficient of variance for relative levels of expression of transcripts was <25% for 9, 25-50% for 22, and 50-100% for 10, indicating good reproducibility between islet preparations from five different human pancreas donors. This study demonstrates the utility of nitrocellulose-based cDNA arrays for a focused reproducible analysis of gene expression changes in human islets of Langerhans.