High quality protein microarray using in situ protein purification

<p>Abstract</p> <p>Background</p> <p>In the postgenomic era, high throughput protein expression and protein microarray technologies have progressed markedly permitting screening of therapeutic reagents and discovery of novel protein functions. Hexa-histidine is one of the most commonly used fusion tags for protein expression due to its small size and convenient purification via immobilized metal ion affinity chromatography (IMAC). This purification process has been adapted to the protein microarray format, but the quality of <it>in situ </it>His-tagged protein purification on slides has not been systematically evaluated. We established methods to determine the level of purification of such proteins on metal chelate-modified slide surfaces. Optimized <it>in situ </it>purification of His-tagged recombinant proteins has the potential to become the new gold standard for cost-effective generation of high-quality and high-density protein microarrays.</p> <p>Results</p> <p>Two slide surfaces were examined, chelated Cu²⁺slides suspended on a polyethylene glycol (PEG) coating and chelated Ni²⁺slides immobilized on a support without PEG coating. Using PEG-coated chelated Cu²⁺slides, consistently higher purities of recombinant proteins were measured. An optimized wash buffer (PBST) composed of 10 mM phosphate buffer, 2.7 mM KCl, 140 mM NaCl and 0.05% Tween 20, pH 7.4, further improved protein purity levels. Using <it>Escherichia coli </it>cell lysates expressing 90 recombinant <it>Streptococcus pneumoniae </it>proteins, 73 proteins were successfully immobilized, and 66 proteins were <it>in situ </it>purified with greater than 90% purity. We identified several antigens among the <it>in situ</it>-purified proteins via assays with anti-<it>S. pneumoniae </it>rabbit antibodies and a human patient antiserum, as a demonstration project of large scale microarray-based immunoproteomics profiling. The methodology is compatible with higher throughput formats of <it>in vivo </it>protein expression, eliminates the need for resin-based purification and circumvents protein solubility and denaturation problems caused by buffer exchange steps and freeze-thaw cycles, which are associated with resin-based purification, intermittent protein storage and deposition on microarrays.</p> <p>Conclusion</p> <p>An optimized platform for <it>in situ </it>protein purification on microarray slides using His-tagged recombinant proteins is a desirable tool for the screening of novel protein functions and protein-protein interactions. In the context of immunoproteomics, such protein microarrays are complimentary to approaches using non-recombinant methods to discover and characterize bacterial antigens.</p

Whole genome single nucleotide polymorphism based phylogeny of Francisella tularensis and its application to the development of a strain typing assay

<p>Abstract</p> <p>Background</p> <p>A low genetic diversity in <it>Francisella tularensis </it>has been documented. Current DNA based genotyping methods for typing <it>F. tularensis </it>offer a limited and varying degree of subspecies, clade and strain level discrimination power. Whole genome sequencing is the most accurate and reliable method to identify, type and determine phylogenetic relationships among strains of a species. However, lower cost typing schemes are necessary in order to enable typing of hundreds or even thousands of isolates.</p> <p>Results</p> <p>We have generated a high-resolution phylogenetic tree from 40 <it>Francisella </it>isolates, including 13 <it>F. tularensis </it>subspecies <it>holarctica </it>(type B) strains, 26 <it>F. tularensis </it>subsp. <it>tularensis </it>(type A) strains and a single <it>F. novicida </it>strain. The tree was generated from global multi-strain single nucleotide polymorphism (SNP) data collected using a set of six Affymetrix GeneChip^®resequencing arrays with the non-repetitive portion of LVS (type B) as the reference sequence complemented with unique sequences of SCHU S4 (type A). Global SNP based phylogenetic clustering was able to resolve all non-related strains. The phylogenetic tree was used to guide the selection of informative SNPs specific to major nodes in the tree for development of a genotyping assay for identification of <it>F. tularensis </it>subspecies and clades. We designed and validated an assay that uses these SNPs to accurately genotype 39 additional <it>F. tularensis </it>strains as type A (A1, A2, A1a or A1b) or type B (B1 or B2).</p> <p>Conclusion</p> <p>Whole-genome SNP based clustering was shown to accurately identify SNPs for differentiation of <it>F. tularensis </it>subspecies and clades, emphasizing the potential power and utility of this methodology for selecting SNPs for typing of <it>F. tularensis </it>to the strain level. Additionally, whole genome sequence based SNP information gained from a representative population of strains may be used to perform evolutionary or phylogenetic comparisons of strains, or selection of unique strains for whole-genome sequencing projects.</p

A bioinformatic filter for improved base-call accuracy and polymorphism detection using the Affymetrix GeneChip® whole-genome resequencing platform

DNA resequencing arrays enable rapid acquisition of high-quality sequence data. This technology represents a promising platform for rapid high-resolution genotyping of microorganisms. Traditional array-based resequencing methods have relied on the use of specific PCR-amplified fragments from the query samples as hybridization targets. While this specificity in the target DNA population reduces the potential for artifacts caused by cross-hybridization, the subsampling of the query genome limits the sequence coverage that can be obtained and therefore reduces the technique's resolution as a genotyping method. We have developed and validated an Affymetrix Inc. GeneChip® array-based, whole-genome resequencing platform for Francisella tularensis, the causative agent of tularemia. A set of bioinformatic filters that targeted systematic base-calling errors caused by cross-hybridization between the whole-genome sample and the array probes and by deletions in the sample DNA relative to the chip reference sequence were developed. Our approach eliminated 91% of the false-positive single-nucleotide polymorphism calls identified in the SCHU S4 query sample, at the cost of 10.7% of the true positives, yielding a total base-calling accuracy of 99.992%