Multiplex SNP genotyping in pooled DNA samples by a four-colour microarray system

We selected 125 candidate single nucleotide polymorphisms (SNPs) in genes belonging to the human type 1 interferon (IFN) gene family and the genes coding for proteins in the main type 1 IFN signalling pathway by screening databases and by in silico comparison of DNA sequences. Using quantitative analysis of pooled DNA samples by solid-phase mini-sequencing, we found that only 20% of the candidate SNPs were polymorphic in the Finnish and Swedish populations. To allow more effective validation of candidate SNPs, we developed a four-colour microarray-based mini-sequencing assay for multiplex, quantitative allele frequency determination in pooled DNA samples. We used cyclic mini-sequencing reactions with primers carrying 5′-tag sequences, followed by capture of the products on microarrays by hybridisation to complementary tag oligonucleotides. Standard curves prepared from mixtures of known amounts of SNP alleles demonstrate the applicability of the system to quantitative analysis, and showed that for about half of the tested SNPs the limit of detection for the minority allele was below 5%. The microarray-based genotyping system established here is universally applicable for genotyping and quantification of any SNP, and the validated system for SNPs in type 1 IFN-related genes should find many applications in genetic studies of this important immunoregulatory pathway.     

Profiling cellular protein complexes by proximity ligation with dual tag microarray readout

Patterns of protein interactions provide important insights in basic biology, and their analysis plays an increasing role in drug development and diagnostics of disease. We have established a scalable technique to compare two biological samples for the levels of all pairwise interactions among a set of targeted protein molecules. The technique is a combination of the proximity ligation assay with readout via dual tag microarrays. In the proximity ligation assay protein identities are encoded as DNA sequences by attaching DNA oligonucleotides to antibodies directed against the proteins of interest. Upon binding by pairs of antibodies to proteins present in the same molecular complexes, ligation reactions give rise to reporter DNA molecules that contain the combined sequence information from the two DNA strands. The ligation reactions also serve to incorporate a sample barcode in the reporter molecules to allow for direct comparison between pairs of samples. The samples are evaluated using a dual tag microarray where information is decoded, revealing which pairs of tags that have become joined. As a proof-of-concept we demonstrate that this approach can be used to detect a set of five proteins and their pairwise interactions both in cellular lysates and in fixed tissue culture cells. This paper provides a general strategy to analyze the extent of any pairwise interactions in large sets of molecules by decoding reporter DNA strands that identify the interacting molecules.     

伤寒沙门菌基因组DNA芯片的制备与基因表达谱分析应用

伤寒沙门菌是一种具有鞭毛的革兰阴性人类肠道致病菌,也是一种重要的原核生物研究用模式菌．基因组芯片能够系统、全面且高效地观察生物的基因表达及进行基因组结构比较．利用伤寒沙门菌现有的全基因组序列,以Ty2菌株的基因组为基准,选取CT18菌株和z66阳性菌株的特异性蛋白编码基因,设计特异性引物,经PCR有效扩增出4 201个基因,产物纯化后点样于多聚赖氨酸玻片制备伤寒沙门菌基因组DNA芯片,并验证了芯片样点位次与效果．通过对基因表达谱分析的各种条件进行优化,建立相应的表达谱分析方法,并用于比较伤寒沙门菌野生株在高渗、低渗条件下的基因表达差异,结果与以前的报道基本一致．结果表明,成功建立了伤寒沙门菌基因组DNA芯片及表达谱分析方法,可为有关伤寒沙门菌基因表达调控及致病性机理、进化和基因多样性等方面的深入研究提供有效的技术支持．     

A Proof-of-Principle Demonstration of a Novel Microarray-Based Method for Quantifying DNA Methylation Levels

Demethylation of CD11a (ITGAL; GeneID:3683; HGNC: 6148) and CD70 (TNFSF7; GeneID:970; HGNC:11937) regulatory regions in CD4⁺ T cells contributes to the development of autoreactivity and autoantibody overstimulation in systemic lupus erythematosus (SLE). In this study, we present a novel approach for measuring the methylation status of CD11a and CD70 promoter sequences. The procedure combines the standard method of bisulfite conversion of methylated CpG pairs with high-throughput oligonucleotide microarray-based technology that allows for rapid quantification of deoxycytosine and deoxymethylcytosine content in bisulfite-treated DNA samples. The microarrays were first used to generate a standard curve from fully methylated and fully unmethylated DNA samples using a one-dimensional linear regression equation that calculated fluorescence emission as a function of methylation levels. The methylation status of the CD70 and CD11a promoters in SLE and control CD4⁺ T cell samples were measured, and the microarray prediction was found to be highly accurate when compared to bisulfite sequencing. Furthermore, the microarrays were able to detect differences in the methylation status between SLE patient and healthy control samples. These results indicate that our new microarray-based assay could prove to be a highly reliable, rapid, and cost effective diagnostic and prognostic test for SLE.     

In situ protein microarrays capable of real-time kinetics analysis based on surface plasmon resonance imaging

In recent years, in situ protein synthesis microarray technologies have enabled protein microarrays to be created on demand just before they are needed. In this paper, we utilized the TUS-TER immobilization technology to allow label-free detection with real-time kinetics of protein–protein interactions using surface plasmon resonance imaging (SPRi). We constructed an expression-ready plasmid DNA with a C-terminal TUS fusion tag to directionally immobilize the in situ synthesized recombinant proteins onto the surface of the biosensor. The expression plasmid was immobilized on the polyethylene imine-modified gold surface, which was then coupled with a cell-free expression system on the flow cell of the SPRi instrument. The expressed TUS fusion proteins bind on the surface via the immobilized TER DNA sequence with high affinity (∼3–7 × 10⁻¹³ M). The expression and immobilization of the recombinant in situ expressed proteins were confirmed by probing with specific antibodies. The present study shows a new low cost method for in situ protein expression microarrays that has the potential to study the kinetics of protein–protein interactions. These protein microarrays can be created on demand without the problems of stability associated with protein arrays used in the drug discovery and biomarker discovery fields.     

Protein chip-based microarray profiling of oxidized low density lipoprotein-treated cells

Commercially available high-content Ab380 and extensively validated DLM26 homemade protein microarrays were used to profile the effects of the pro-atherogenic molecule, oxidized low density lipoprotein (OxLDL), on human aortic smooth muscle cells. Protein microarrays detected 298 proteins in cell lysates and 54 of these were differentially regulated. Microarray data were validated by immunoblotting for a selected set of up- and down-regulated proteins. The protein microarray data sets were compared with our recent cDNA microarray-based gene expression results in order to characterize the global effect of OxLDL on smooth muscle cell functions. A group of cell-cell interaction molecules was classified as up-regulated by OxLDL, whereas nucleic acid/protein biosynthesis, structural and humoral response proteins/genes were under-expressed in cells treated by OxLDL. These findings reveal the major pattern of OxLDL-induced effects on the human aortic smooth muscle cells functions and also demonstrate that protein chip-based microarrays could be a useful proteomic tool to profile disease-related states of muscle cells.     

Biospecific irreversible fishing coupled with atomic force microscopy for detection of extremely low‐abundant proteins

In the absence of an analog of PCR for proteins, the concentration detection limit (DL) becomes a real challenge. The problem may be solved by means of a combination of biospecific irreversible fishing with atomic force microscopy (AFM). AFM offers the ability to register individual molecules and their complexes, while biospecific fishing takes advantage of an affine interaction between analyte molecules spread over a large volume of biomaterial and ligand molecules immobilized on the chip surface. Fishing may be conducted in Kd‐dependent reversible mode and in Kd‐independent irreversible mode. In this study, the DLs of two previously applied proteomic approaches were determined and compared to the DL of a newly developed analytical method. The first approach, based on MS analysis of biomaterial after 2‐DE or LC separation of proteins, attained a DL at the level of 10^?8–10^?10 M. The second approach, based on the optical biosensor analysis of molecular interactions in the format of proteomic microarrays, had a DL of 10^?9–10^?10 M. Our proposed method which combines biospecific fishing with AFM allowed us to attain DL values of 10^?11 M under reversible binding conditions and 10^?16 M under irreversible binding conditions.     

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

High-density functional protein microarrays containing ~4,200 recombinant yeast proteins are examined for kinase protein-protein interactions using an affinity purified yeast kinase fusion protein containing a V5-epitope tag for read-out. Purified kinase is obtained through culture of a yeast strain optimized for high copy protein production harboring a plasmid containing a Kinase-V5 fusion construct under a GAL inducible promoter. The yeast is grown in restrictive media with a neutral carbon source for 6 hr followed by induction with 2% galactose. Next, the culture is harvested and kinase is purified using standard affinity chromatographic techniques to obtain a highly purified protein kinase for use in the assay. The purified kinase is diluted with kinase buffer to an appropriate range for the assay and the protein microarrays are blocked prior to hybridization with the protein microarray. After the hybridization, the arrays are probed with monoclonal V5 antibody to identify proteins bound by the kinase-V5 protein. Finally, the arrays are scanned using a standard microarray scanner, and data is extracted for downstream informatics analysis^1,2 to determine a high confidence set of protein interactions for downstream validation in vivo.     

Protein and small molecule microarrays: powerful tools for high-throughput proteomics

Advances in genomics and proteomics have opened up new possibilities for the rapid functional assignment and global characterization of proteins. Large-scale studies have accelerated this effort by using tools and strategies that enable highly parallel analysis of huge repertoires of biomolecules. Organized assortments of molecules on arrays have furnished a robust platform for rapid screening, lead discovery and molecular characterization. The essential advantage of microarray technology is attributed to the massive throughput attainable, coupled with a highly miniaturized platform--potentially driving discovery both as an analytical and diagnostic tool. The scope of microarrays has in recent years expanded impressively. Virtually every biological component--from diverse small molecules and macromolecules (such as DNA and proteins) to entire living cells--has been harnessed on microarrays in attempts to dissect the bewildering complexity of life. Herein we highlight strategies that address challenges in proteomics using microarrays of immobilized proteins and small molecules. Of specific interest are the techniques involved in stably immobilizing proteins and chemical libraries on slide surfaces as well as novel strategies developed to profile activities of proteins on arrays. As a rapidly maturing technology, microarrays pave the way forward in high-throughput proteomic exploration.     

Nucleic Acid Amplification Strategies for DNA Microarray-Based Pathogen Detection

DNA microarray-based screening and diagnostic technologies have long promised comprehensive testing capabilities. However, the potential of these powerful tools has been limited by front-end target-specific nucleic acid amplification. Despite the sensitivity and specificity associated with PCR amplification, the inherent bias and limited throughput of this approach constrain the principal benefits of downstream microarray-based applications, especially for pathogen detection. To begin addressing alternative approaches, we investigated four front-end amplification strategies: random primed, isothermal Klenow fragment-based, 29 DNA polymerase-based, and multiplex PCR. The utility of each amplification strategy was assessed by hybridizing amplicons to microarrays consisting of 70-mer oligonucleotide probes specific for enterohemorrhagic Escherichia coli O157:H7 and by quantitating their sensitivities for the detection of O157:H7 in laboratory and environmental samples. Although nearly identical levels of hybridization specificity were achieved for each method, multiplex PCR was at least 3 orders of magnitude more sensitive than any individual random amplification approach. However, the use of Klenow-plus-Klenow and 29 polymerase-plus-Klenow tandem random amplification strategies provided better sensitivities than multiplex PCR. In addition, amplification biases among the five genetic loci tested were 2- to 20-fold for the random approaches, in contrast to >4 orders of magnitude for multiplex PCR. The same random amplification strategies were also able to detect all five diagnostic targets in a spiked environmental water sample that contained a 63-fold excess of contaminating DNA. The results presented here underscore the feasibility of using random amplification approaches and begin to systematically address the versatility of these approaches for unbiased pathogen detection from environmental sources.     

Microarray-based detection of mannose-binding lectin 2 (MBL2) polymorphisms in a routine clinical setting

The assessment of allelic variants in the human mannose-binding lectin 2 (MBL2) gene is of great clinical importance in newborns or immune-suppressed patients at high risk for a variety of infections. Here, we present a study on the genotyping accuracy of a DNA microarray-based on-chip PCR method suited for the detection of five different polymorphisms in the MBL2 gene. We tested 153 genomic DNA samples, prepared from archival blood spots on Guthrie cards, for the presence of allelic variants in the human MBL2 gene by the on-chip PCR method and compared the obtained results of three variants to standard DNA capillary sequencing. The genotyping power of the described assay was readily comparable to DNA sequencing (453/459 correct genotype calls in 153 DNA samples; 98.7% accuracy), mainly due to intrinsic technical benefits of microarrays such as high number of test replicates and automated data analysis. This study demonstrates, for the first time, the accuracy and reliability of a microarray-based on-chip PCR genotyping assay for measuring allelic variants in a routine clinical setting.     

Comparing whole genomes using DNA microarrays

The rapid accumulation of complete genomic sequences offers the opportunity to carry out an analysis of inter- and intra-individual genome variation within a species on a routine basis. Sequencing whole genomes requires resources that are currently beyond those of a single laboratory and therefore it is not a practical approach for resequencing hundreds of individual genomes. DNA microarrays present an alternative way to study differences between closely related genomes. Advances in microarray-based approaches have enabled the main forms of genomic variation (amplifications, deletions, insertions, rearrangements and base-pair changes) to be detected using techniques that are readily performed in individual laboratories using simple experimental approaches.