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A practical protocol for carbohydrate microarrays.

We have established a high-throughput biochip platform for constructing carbohydrate microarrays. Using this technology, carbohydrate-containing macromolecules of diverse structures, including polysaccharides, natural glycoconjugates, and mono- and oligosaccharides coupled to carrier molecules, can be stably immobilized on a glass chip without chemical modification. Here, we describe a practical protocol for this technology. We hope that anyone who has access to a standard cDNA microarray facility will be able to explore this technology for his or her own research interest. We also provide an example to illustrate that the carbohydrate microarray is also a discovery tool; this is particularly useful for identifying immunologic sugar moieties, including complex carbohydrates of cancer cells and sugar signatures of previously unrecognized microbial pathogens.

Animals↗

Hydrodynamic fabrication of polymeric barcoded strips as components for parallel bio-analysis and programmable microactuation.

In this paper, we report a novel technique for the manufacture of polymeric barcoded strips having diverse characteristics such as biocatalyst-based sensing and pH-responsive actuation. The fabrication involves the use of both a microfluidic platform and in-situ photopolymerization. It is expected that this method, which is a very simple, cost-effective, and environment-friendly means for mass production, will facilitate the stable immobilization of diverse biological substances such as enzymes, DNA, and antigens. Therefore, we fabricated an enzyme-immobilized barcoded strip for multiple bio-analysis. On the basis of this technology, we adopted different materials and thereby fabricated programmable microactuation components that are responsive to pH variation.

Antigens↗

MicroGen: a MIAME compliant web system for microarray experiment information and workflow management.

BACKGROUND: Improvements of bio-nano-technologies and biomolecular techniques have led to increasing production of high-throughput experimental data. Spotted cDNA microarray is one of the most diffuse technologies, used in single research laboratories and in biotechnology service facilities. Although they are routinely performed, spotted microarray experiments are complex procedures entailing several experimental steps and actors with different technical skills and roles. During an experiment, involved actors, who can also be located in a distance, need to access and share specific experiment information according to their roles. Furthermore, complete information describing all experimental steps must be orderly collected to allow subsequent correct interpretation of experimental results. RESULTS: We developed MicroGen, a web system for managing information and workflow in the production pipeline of spotted microarray experiments. It is constituted of a core multi-database system able to store all data completely characterizing different spotted microarray experiments according to the Minimum Information About Microarray Experiments (MIAME) standard, and of an intuitive and user-friendly web interface able to support the collaborative work required among multidisciplinary actors and roles involved in spotted microarray experiment production. MicroGen supports six types of user roles: the researcher who designs and requests the experiment, the spotting operator, the hybridisation operator, the image processing operator, the system administrator, and the generic public user who can access the unrestricted part of the system to get information about MicroGen services. CONCLUSION: MicroGen represents a MIAME compliant information system that enables managing workflow and supporting collaborative work in spotted microarray experiment production.

Computational Biology↗

Gene expression profiles of primary colorectal carcinomas, liver metastases, and carcinomatoses.

BACKGROUND: Despite the fact that metastases are the leading cause of colorectal cancer deaths, little is known about the underlying molecular changes in these advanced disease stages. Few have studied the overall gene expression levels in metastases from colorectal carcinomas, and so far, none has investigated the peritoneal carcinomatoses by use of DNA microarrays. Therefore, the aim of the present study is to investigate and compare the gene expression patterns of primary carcinomas (n = 18), liver metastases (n = 4), and carcinomatoses (n = 4), relative to normal samples from the large bowel. RESULTS: Transcriptome profiles of colorectal cancer metastases independent of tumor site, as well as separate profiles associated with primary carcinomas, liver metastases, or peritoneal carcinomatoses, were assessed by use of Bayesian statistics. Gains of chromosome arm 5p are common in peritoneal carcinomatoses and several candidate genes (including PTGER4, SKP2, and ZNF622) mapping to this region were overexpressed in the tumors. Expression signatures stratified on TP53 mutation status were identified across all tumors regardless of stage. Furthermore, the gene expression levels for the in vivo tumors were compared with an in vitro model consisting of cell lines representing all three tumor stages established from one patient. CONCLUSION: By statistical analysis of gene expression data from primary colorectal carcinomas, liver metastases, and carcinomatoses, we are able to identify genetic patterns associated with the different stages of tumorigenesis.

Carcinoma↗

[Small but high throughput: how "tissue-microarrays" became a favorite tool for pathologists and scientists].

Progress in the knowledge of molecular genetics and availability of high-throughput technologies offer the opportunity to identify new diagnostic and prognostic markers and new therapeutic targets in human cancer. The recently developed "tIssue microarrays" (TMA) technology allows parallel molecular profiling of clinical samples. Using this technique and immunohistochemistry (IHC), fluorescence in situ hybridisation (FISH), or RNA in situ hybridisation (ISH), the pathologist is now able to perform unprecedented large-scale analyses. The advantages are significant: large number of cases assessed simultaneously for numerous markers, processed in identical conditions, from reduced amount of archival tIssues, with an excellent correlation with standard methods, and a reduction in cost and time. This Article provides a short review of this technology, and points out several aspects of the TMA construction and its applications for clinical research.

Biomarkers↗

Automated quantitative analysis of tissue microarrays reveals an association between high Bcl-2 expression and improved outcome in melanoma.

The addition of B-cell lymphoma 2 (Bcl-2) antisense to dacarbazine in the treatment of metastatic melanoma demonstrates improved response rates and progression-free survival when compared with dacarbazine alone. Studies on small cohorts of melanoma patients have shown variability in Bcl-2 expression (60%-96% positive). We performed quantitative analysis of Bcl-2 expression in a large patient cohort to assess the association with outcome. Tissue microarrays containing intact melanoma specimens representing 402 patients (339 with associated survival data) were analyzed with our AQUA system for automated quantitative analysis. Automated, quantitative analysis uses S100 to define pixels as melanoma (tumor mask) within the array spot and measures intensity of Bcl-2 expression using a Cy5 conjugated antibody within the mask. A continuous index score is generated, which is directly proportional to the number of molecules per unit area. Scores were divided into quartiles and correlated with clinical variables. High Bcl-2 expression was associated with better outcome in the entire cohort and among metastatic specimens only (P = 0.004 and P = 0.015, respectively). Expression was higher in primary than in metastatic specimens (P < 0.0001). There was no association between Bcl-2 expression and Breslow depth or Clark level. The diverse results within the literature may be due to use of small cohorts or variability in staining technique. These results suggest studies are needed to evaluate the association between quantitative assessment of Bcl-2 expression and response to Bcl-2 targeting therapy toward the goal of improved response rates to these drugs.

Cohort Studies↗

Distinct and complementary information provided by use of tissue and DNA microarrays in the study of breast tumor markers.

Emerging high-throughput screening technologies are rapidly providing opportunities to identify new diagnostic and prognostic markers and new therapeutic targets in human cancer. Currently, cDNA arrays allow the quantitative measurement of thousands of mRNA expression levels simultaneously. Validation of this tool in hospital settings can be done on large series of archival paraffin-embedded tumor samples using the new technique of tissue microarray. On a series of 55 clinically and pathologically homogeneous breast tumors, we compared for 15 molecules with a proven or suspected role in breast cancer, the mRNA expression levels measured by cDNA array analysis with protein expression levels obtained using tumor tissue microarrays. The validity of cDNA array and tissue microarray data were first verified by comparison with quantitative reverse transcriptase-polymerase chain reaction measurements and immunohistochemistry on full tissue sections, respectively. We found a good correlation between cDNA and tissue array analyses in one-third of the 15 molecules, and no correlation in the remaining two-thirds. Furthermore, protein but not RNA levels may have prognostic value; this was the case for MUC1 protein, which was studied further using a tissue microarray containing approximately 600 tumor samples. For THBS1 the opposite was observed because only RNA levels had prognostic value. Thus, differences extended to clinical prognostic information obtained by the two methods underlining their complementarity and the need for a global molecular analysis of tumors at both the RNA and protein levels.

Base Sequence↗

Sensitivity and specificity of photoaptamer probes.

The potential of photoaptamers as proteomic probes was investigated. Photoaptamers are defined as aptamers that bear photocross-linking functionality, in this report, 5-bromo-2'-deoxyuridine. A key question regarding the use of photoaptamer probes is the specificity of the cross-linking reaction. The specificity of three photoaptamers was explored by comparing their reactions with target proteins and non-target proteins. The range of target/non-target specificity varies from 100- to >10(6)-fold with most values >10(4)-fold. The contributions of the initial binding step and the photocross-linking step were evaluated for each reaction. Photocross-linking never degraded specificity and significantly increased aptamer specificity in some cases. The application of photoaptamer technology to proteomics was investigated in microarray format. Immobilized anti-human immunodeficiency virus-gp120 aptamer was able to detect subnanomolar concentrations of target protein in 5% human serum. The levels of sensitivity and specificity displayed by photoaptamers, combined with other advantageous properties of aptamers, should facilitate development of protein chip technology.

Bromodeoxyuridine↗

Towards quantitative assays with peptide chips: a surface engineering approach.

The development of peptide and protein microarrays has created enormous opportunities in biomedical research. Current chip-based assays are well suited for identifying candidate protein or enzyme activities but still require conventional solution phase experiments to validate hits. Here, three surface-engineering strategies for microarray design are described and are illustrated in the development of a peptide chip for the quantitative analysis of kinase activity on solid support. These strategies promise to widen the application of microarrays by permitting the evaluation of hits in a chip-based format.

Amino Acid Sequence↗

The potential of ecotoxicoproteomics in environmental monitoring: biomarker profiling in mussel plasma using ProteinChip array technology.

New global technologies, allowing simultaneous analysis of thousands of genes, proteins, and metabolites (so-called "omics" technologies), are being adopted rapidly by industry, academia, and regulatory agencies. This study evaluated the potential of proteomics in ecotoxicological research (i.e., ecotoxicoproteomics). Filter-feeding mussels (Mytilus edulis) were exposed continuously for 3 wk to oil, or oil spiked with alkylphenols and extra polycyclic aromatic hydrocarbons. The influence of chronic exposure on mussel plasma protein expression was investigated utilizing ProteinChip array technology in combination with surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI TOF MS). Results indicated that exposure to spiked oil had a more significant effect on protein expression in mussels than oil alone. In total, 83 mass peaks (intact or modified proteins/peptides) were significantly altered by spiked oil, while 49 were altered by oil. In exposed organisms, the majority of peaks were upregulated compared to controls (i.e., 69% in oil and 71% in spiked oil). Some peaks (32 in total) were affected by both treatments; however, the degree of response was higher in the spiked oil group for 25 of the 32 commonly affected features. Additionally, certain peaks revealed exposure- or gender-specific responses. Multivariate analysis with regression tree-based methods detected protein patterns associated with exposure that correctly classified masked samples with 90-95% accuracy. Similarly, 92% of females and 85% of males were correctly classified (independent of exposure). Results indicate that proteomics have the potential to make a valuable contribution to environmental monitoring and risk assessment.

Animals↗

Inhibition of bcr-abl and/or c-abl gene expression by small interfering, double-stranded RNAs: cross-talk with cell proliferation factors and other oncogenes.

BACKGROUND: Short, 21-mer, double-stranded/small interfering RNAs (ds/siRNAs) were designed to target bcr-abl mRNA in chronic myelogenous leukemia (CML) with a potential also to target c-abl mRNA. METHODS: ds/siRNAs were transfected into bcr-abl-positive K-562 cells (derived from blast-crisis) or bcr-abl-negative/c-abl-positive Jurkat cells (derived from acute lymphoblastic leukemia) using lipofectamine. ds/siRNAs intracellular uptake was detected by fluorescent confocal microscopy using fluorescein-labeled ds/siRNAs. The treatment was performed over 6 days with repetitive siRNA transfections. Efficiency of the siRNAs was determined 24 hours after single siRNA transfection and 6 days after repetitive siRNA transfections. RESULTS: Two of the designed ds/siRNAs decreased the target mRNA levels markedly (determined by reverse transcriptase-polymerase chain reaction analysis) and bcr-abl/c-abl oncoproteins (determined by flow cytometry using Fluor-488-labeled, anti-c-abl antibody as well as by Western blot analysis). These sequences also inhibited protein tyrosine kinase activity significantly and suppressed cell proliferation. One of the three selected ds/siRNAs expressed only slight effects on the bcr-abl/c-abl mRNA in K-562 cells (but not on the oncoprotein level), on protein tyrosine kinase activity, and on cell proliferation. The combination of the three ds/siRNA constructs provoked stronger decreases in bcr-abl/c-abl mRNAs and their respective oncoproteins and produced the strongest suppression of cell proliferation. CONCLUSIONS: The cross-talk between siRNA interference of bcr-abl oncogene and the expression of several apoptotic/antiapoptotic factors, cell proliferation factors, and other oncogenes exists and it was determined by microarray analysis in K-562 cells that were treated over 6 days.

Base Sequence↗

The effects of pre-B-cell colony-enhancing factor on the human fetal membranes by microarray analysis.

OBJECTIVE: Our purpose was to show the effects of pre-B-cell colony-enhancing factor on the genes that are expressed by the human fetal membranes. STUDY DESIGN: Explants of fetal membranes (amnion, chorion, and decidua) from three term patients were treated with 100 ng/mL recombinant human pre-B-cell colony-enhancing factor for 4 hours. RNAs were hybridized to gene chips that contained >18,000 known genes. One experiment was done in triplicate to assess replication. Data were analyzed to quantitate the signal intensities of each complementary DNA on the array. Confirmation of the results was carried out on tissues from nine other patients by the measurement of the proteins or quantitative real-time reverse transcriptase-polymerase chain reaction. RESULTS: Replication gave <92.6% identical results, which showed high method reproducibility. Pre-B-cell colony-enhancing factor treatment caused a significant increase in 103 genes and decrease in 139 genes. Only 8 genes were up-regulated consistently and significantly in all three patients (three key inflammatory cytokines [tumor necrosis factor-alpha, interleukin-6, and interleukin-1beta], four important chemokines [macrophage inflammatory protein-1alpha, macrophage inflammatory protein-1beta, macrophage inflammatory protein-3alpha, and growth-related oncogene-gamma], and prostaglandin-endoperoxide synthase 2). These data were confirmed by the measurement in the media with the use of specific enzyme-linked immunosorbent assays for tumor necrosis factor-alpha, interleukin-6, and interleukin-1beta, macrophage inflammatory protein-1alpha, macrophage inflammatory protein-1beta, and macrophage inflammatory protein-3alpha and by quantitative real-time reverse transcriptase-polymerase chain reaction for growth-related oncogene-gamma and prostaglandin-endoperoxide synthase 2. CONCLUSION: Pre-B-cell colony-enhancing factor appears to be at the proximal end of the pathway to labor initiation and may link sterile distention-induced labor with that of infection-induced labor.

Amnion↗

Protein expression profiling of Coccidioides posadasii by two-dimensional differential in-gel electrophoresis and evaluation of a newly recognized peroxisomal matrix protein as a recombinant vaccine candidate.

Coccidioides posadasii and Coccidioides immitis are dimorphic, soil-dwelling pathogenic ascomycetes endemic to the southwestern United States. Infection can result from inhalation of a very few arthroconidia, but following natural infection, long-lived immunity is the norm. Previous work in the field has shown that spherule-derived vaccines afford more protection than those from mycelia. We have used two-dimensional differential in-gel electrophoresis coupled with nano-high-performance liquid chromatography-tandem mass spectrometry to directly assess both absolute abundance and differential expression of proteins in the spherule and the mycelial phases of C. posadasii with the intent to identify potential vaccine candidates. Peptides derived from 40 protein spots were analyzed and a probable identity was assigned to each. One spherule-abundant protein, identified as Pmp1, showed homology to allergens from Aspergillus fumigatus and other fungi, all of which exhibit similarity to yeast thiol peroxidases. Recombinant Pmp1 was reactive with serum from individuals with both acute and protracted disease, and evoked protection in two murine models of infection with C. posadasii. These results demonstrate the utility of proteomic analysis as a point of discovery for protective antigens for possible inclusion in a vaccine candidate to prevent coccidioidomycosis.

Animals↗

Detection of bacterial toxins with monosaccharide arrays.

A large number of bacterial toxins, viruses and bacteria target carbohydrate derivatives on the cell surface to attach and gain entry into the cell. We report here the use of a monosaccharide-based array to detect protein toxins. The array-based technique provides the capability to perform simultaneous multianalyte analyses. Arrays of N-acetyl galactosamine (GalNAc) and N-acetylneuraminic acid (Neu5Ac) derivatives were immobilized on the surface of a planar waveguide and were used as receptors for protein toxins. These arrays were probed with fluorescently labeled bacterial cells and protein toxins. While Salmonella typhimurium, Listeria monocytogenes, Escherichia coli and staphylococcal enterotoxin B (SEB) did not bind to either of the monosaccharides, both cholera toxin and tetanus toxin bound to GalNAc and Neu5Ac. The results show that the binding of the toxins to the carbohydrates is density dependent and semi-selective. Both toxins were detectable at 100 ng/ml.

Adsorption↗

Microarrays as validation strategies in clinical samples: tissue and protein microarrays.

The widespread use of DNA microarrays has led to the discovery of many genes whose expression profile may have significant clinical relevance. The translation of this data to the bedside requires that gene expression be validated as protein expression, and that annotated clinical samples be available for correlative and quantitative studies to assess clinical context and usefulness of putative biomarkers. We review two microarray platforms developed to facilitate the clinical validation of candidate biomarkers: tissue microarrays and reverse-phase protein microarrays. Tissue microarrays are arrays of core biopsies obtained from paraffin-embedded tissues, which can be assayed for histologically-specific protein expression by immunohistochemistry. Reverse-phase protein microarrays consist of arrays of cell lysates or, more recently, plasma or serum samples, which can be assayed for protein quantity and for the presence of post-translational modifications such as phosphorylation. Although these platforms are limited by the availability of validated antibodies, both enable the preservation of precious clinical samples as well as experimental standardization in a high-throughput manner proper to microarray technologies. While tissue microarrays are rapidly becoming a mainstay of translational research, reverse-phase protein microarrays require further technical refinements and validation prior to their widespread adoption by research laboratories.

Animals↗

Advances in recombinant antibody microarrays.

Antibody microarrays, one emerging class of proteomic technologies, have broad applications in proteome analysis, disease diagnostics and quantitative analysis. Compared to DNA microarrays, protein targets have significantly more complex interactions with their ligands such as antibodies. To introduce antibody microarrays for clinical diagnostics and thus to complement or replace conventional immunoassays, several new developments are addressed. We discuss different microarray surfaces, immobilization techniques, detection systems and advantages and disadvantages of antibody microarrays compared to standard clinical techniques. Currently, the probes with highest specificity, well-characterized binding properties, and the possibility of large-scale production using display libraries are recombinant antibodies.

Animals↗