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At least 703 records · Page 39Linked to original sources
PubMed2006

A lectin array-based methodology for the analysis of protein glycosylation.

Glycosylation is the most versatile and one of the most abundant protein modifications. It has a structural role as well as diverse functional roles in many specific biological functions, including cancer development, viral and bacterial infections, and autoimmunity. The diverse roles of glycosylation in biological processes are rapidly growing areas of research, however, Glycobiology research is limited by the lack of a technology for rapid analysis of glycan composition of glycoproteins. Currently used methods for glycoanalysis are complex, typically requiring high levels of expertise and days to provide answers, and are not readily available to all researcher. We have developed a lectin array-based method, Qproteome GlycoArray kits, for rapid analysis of glycosylation profiles of glycoproteins. Glycoanalysis is performed on intact glycoproteins, requiring only 4-6 h for most analysis types. The method, demonstrated in this manuscript by several examples, is based on binding of an intact glycoprotein to the arrayed lectins, resulting in a characteristic fingerprint that is highly sensitive to changes in the protein's glycan composition. The large number of lectins, each with its specific recognition pattern, ensures high sensitivity to changes in the glycosylation pattern. A set of proprietary algorithms automatically interpret the fingerprint signals to provide a comprehensive glycan profile output.

Animals↗
PubMed2003

Epitope-targeted proteome analysis: towards a large-scale automated protein-protein-interaction mapping utilizing synthetic peptide arrays.

We describe the development of a process for the genome-wide mapping of interactions between protein domains and peptide ligands entirely based on high-throughput biochip technologies. A phage library displaying protein domains from a randomly fragmented and cloned cDNA library will be "panned" on an array of synthetic peptide ligands. After multiplexed affinity enrichment, peptide-specific phage populations will be automatically eluted, propagated, labelled and identified by hybridisation to a DNA microarray. Peptide arrays are synthesized in situ by SPOT synthesis on a planar substrate. By utilizing a commercially available library of human brain cDNA plus a set of distinct model domains cloned into T7-phage, we could show that a single panning round on an array of known peptide ligands for these model domains synthesized on a cellulose membrane can yield an enrichment of better than a factor of 1,000. This is sufficient to detect peptide-specific enrichment of Cy3(post-panning) against Cy5(pre-panning)-labelled phage DNA inserts on a cDNA microarray. Thus, the proof-of-principle of our approach could be successfully demonstrated and first interaction data are being collected.

Amino Acid Sequence↗
PubMed2005

Protein chip array profiling analysis of sera from neuroblastoma patients.

Neuroblastoma, the most common extracranial solid tumour in children, is characterised by highly heterogeneous clinical behaviour; patients are stratified into risk categories according to a combination of clinical and biological markers. However, identifying non-invasive prognostic markers predicting outcome independently from current risk-stratification features remains critical for better disease monitoring. Using the SELDI-TOF-MS technology (surface-enhanced laser desorption/ionization time-of-flight mass spectrometry), we found a serum biomarker that strongly correlates with prognosis in neuroblastoma patients. Subsequent peptide mapping identified this biomarker as SAA protein. In support of this observation, high SAA levels were detected by ELISA in the sera of patients with poor prognosis neuroblastoma. Based on this finding, promises and limitations of the approach are discussed.

Enzyme-Linked Immunosorbent Assay↗
PubMed2006

Multiplexed protein array platforms for analysis of autoimmune diseases.

Several proteomics platforms have emerged in the past decade that show great promise for filling in the many gaps that remain from earlier studies of the genome and from the sequencing of the human genome itself. This review describes applications of proteomics technologies to the study of autoimmune diseases. We focus largely on biased technology platforms that are capable of analyzing a large panel of known analytes, as opposed to techniques such as two-dimensional gel electrophoresis (2DIGE) or mass spectroscopy that represent unbiased approaches (as reviewed in 1). At present, the main analytes that can be systematically studied in autoimmunity include autoantibodies, cytokines and chemokines, components of signaling pathways, and cell-surface receptors. We review the most commonly used platforms for such studies, citing important discoveries and limitations that exist. We conclude by reviewing advances in biomedical informatics that will eventually allow the human proteome to be deciphered.

Autoantibodies↗
PubMed2007

Evaluation of two- and three-dimensional streptavidin binding platforms for surface plasmon resonance spectroscopy studies of DNA hybridization and protein-DNA binding.

Surface plasmon resonance (SPR) spectroscopy has been used to study DNA assembly, DNA hybridization, and protein-DNA interactions on two streptavidin (SA) sensor chips. On one chip, SA molecules are immobilized on a biotin-exposed surface, forming an ordered two-dimensional (2D) SA monolayer. The other chip, BIAcore's SA chip, contains SA molecules immobilized within a three-dimensional (3D) carboxylated dextran matrix. Compared to the 2D chip, the 3D SA matrix allows for a slower immobilization rate of biotinylated DNA due to diffusion limitation in the dextran matrix, but with twice the amount of the immobilized DNA due to the greater number of reactive sites, which in turn enables a higher sensitivity for DNA hybridization detection. Interestingly, having a greater DNA probe dispersion in the 3D matrix does not induce a higher DNA hybridization efficiency. In a study of protein binding to immobilized DNA (estrogen receptor to estrogen response elements), aiming at assessing the DNA sequence dependent protein binding behavior, the 2D and 3D chips produce different binding characteristics. On the 2D chip, the protein binding exhibits a better selectivity to the specific sequences, regardless of binding stringency (e.g. salt concentration), whereas on the 3D chip, the liquid handling system needs to be optimized in order to minimize transport limitations and to detect small affinity differences. Through this study we demonstrate that the physicochemical structure of SPR chips affects the apparent binding behaviors of biomolecules. When interpreting SPR binding curves and selecting a sensor chip, these effects should be taken into account.

Biosensing Techniques↗
PubMed2006

Cell microarrays in drug discovery.

There is an increasing need for systematic cell-based assays in a high-throughput screening (HTS) format to analyze the phenotypic consequences of perturbing mammalian cells with drugs, genes, interfering RNA. Taking advantage of the recent progress in microtechnology, new cell microarrays are being developed and applied to a large range of issues in metazoan cells. This article compares different approaches and evaluates their potential use in the drug discovery process. Although still an emerging technology, cell microarrays hold great promise to optimize the efficiency:cost ratio in cell-based HTS.

Animals↗
PubMed2004

v-Jun targets showing an expression pattern that correlates with the transformed cellular phenotype.

Targets of the oncogenic transcription factor v-Jun in the murine cell line C3H 10T1/2 cells have been identified using DNA microarrays. Two targets, Akap12 and Marcks, are downregulated in transformed cells and are known tumor suppressor genes. Overexpression of either Akap12 or Marcks in v-Jun-transformed cells reverses the transformed phenotype and leads to the re-expression of the other tumor suppressor gene, suggesting that these two genes cooperate in the establishment of the nontransformed state. Reverted cells continue to express v-Jun at high levels and also re-express c-Jun, which is normally repressed by v-Jun. A panel of six cell lines has been generated to evaluate the expression levels of other v-Jun targets in 10T1/2 cells. With these cells, we find that the upregulated target Sprr1a has an expression pattern that correlates with the transformed phenotype.

Animals↗
PubMed2003

Confirmation of the molecular classification of diffuse large B-cell lymphoma by immunohistochemistry using a tissue microarray.

Diffuse large B-cell lymphoma (DLBCL) can be divided into prognostically important subgroups with germinal center B-cell-like (GCB), activated B-cell-like (ABC), and type 3 gene expression profiles using a cDNA microarray. Tissue microarray (TMA) blocks were created from 152 cases of DLBCL, 142 of which had been successfully evaluated by cDNA microarray (75 GCB, 41 ABC, and 26 type 3). Sections were stained with antibodies to CD10, bcl-6, MUM1, FOXP1, cyclin D2, and bcl-2. Expression of bcl-6 (P <.001) or CD10 (P =.019) was associated with better overall survival (OS), whereas expression of MUM1 (P =.009) or cyclin D2 (P <.001) was associated with worse OS. Cases were subclassified using CD10, bcl-6, and MUM1 expression, and 64 cases (42%) were considered GCB and 88 cases (58%) non-GCB. The 5-year OS for the GCB group was 76% compared with only 34% for the non-GCB group (P <.001), which is similar to that reported using the cDNA microarray. Bcl-2 and cyclin D2 were adverse predictors in the non-GCB group. In multivariate analysis, a high International Prognostic Index score (3-5) and the non-GCB phenotype were independent adverse predictors (P <.0001). In summary, immunostains can be used to determine the GCB and non-GCB subtypes of DLBCL and predict survival similar to the cDNA microarray.

Adolescent↗
PubMed2003

Protein pathway and complex clustering of correlated mRNA and protein expression analyses in Saccharomyces cerevisiae.

The mRNA and protein expression in Saccharomyces cerevisiae cultured in rich or minimal media was analyzed by oligonucleotide arrays and quantitative multidimensional protein identification technology. The overall correlation between mRNA and protein expression was weakly positive with a Spearman rank correlation coefficient of 0.45 for 678 loci. To place the data sets in a proper biological context, a clustering approach based on protein pathways and protein complexes was implemented. Protein expression levels were transcriptionally controlled for not only single loci but for entire protein pathways (e.g., Met, Arg, and Leu biosynthetic pathways). In contrast, the protein expression of loci in several protein complexes (e.g., SPT, COPI, and ribosome) was posttranscriptionally controlled. The coupling of the methods described provided insight into the biology of S. cerevisiae and a clustering strategy by which future studies should be based.

Amino Acid Sequence↗
PubMed2006

Analysis and management of HIV peptide microarray experiments.

OBJECTIVES: To develop a tool for then easy and user-friendly management of peptide microarray experiments and for the use of the results of these experiments for the study the immune response against HIV virus infection in clinical samples. METHODS: Applying bioinformatics and statistics for the analysis of data coming from microarray experiments as well as implementing a MIAME (Minimum Information About a Microarray Experiment) compliant database for managing and annotating experiments, results and samples. RESULTS: We present a new tool for managing not only nucleic acid microarray experiments but also protein microarray experiments. From the analysis of experimental data, we can detect different profiles in the reactivity of the sera with different genotypes. CONCLUSIONS: We have developed a new tool for managing microarray data including clinical annotations for the samples as well as the capability of annotating other microarray formats different to those based on nucleic acids. The use of peptide microarrays and bioinformatics analysis opens a new scope for the characterization of the immune response, and analyzing and identifying the humoral response of viruses with different genotypes.

Computational Biology↗
PubMed2003

Tissue microarrays in cancer diagnosis.

New molecular techniques such as cDNA, protein or antibody arrays allow for high-throughput identification of thousands of potentially disease-related markers on the genome, transcriptome and proteome level. Major disadvantages of such studies are the enormous costs and the need for unfixed tissues, disallowing comprehensive large-scale studies. Consequently, validation studies including large sets of clinically well-defined tissue samples are now necessary to identify those genes or proteins with true impact on the course of disease which will eventually lead to therapeutic applications. Tissue microarray technology overcomes the bottleneck of traditional tissue analysis and allows it to catch up with the rapid advances in lead discovery. Current applications and the future potential of tissue microarray technology in cancer research and diagnosis are discussed.

Histocytological Preparation Techniques↗
PubMed2001

Genes targeted by protein kinase CK2: a genome-wide expression array analysis in yeast.

Protein kinase CK2, a tetramer composed of two catalytically active (CK2alpha isoforms) and two regulatory (CK2beta isoforms) subunits, is suspected to have, among others, a role in gene transcription. To identify the genes targeted by CK2, the transcriptional effect of silencing the CK2 subunit genes in Saccharomyces cerevisiae (CK2alpha isoform genes: CKA1 and CKA2; CK2beta isoform genes: CKB1 and CKB2) was examined using genome-wide expression array analysis (oligonucleotide array chips). Silencing did not influence the overwhelming majority (5801) of the over six thousand open reading frames composing the yeast genome. Cells knocked-out for both CKA1 and CKA2 and plasmid-rescued by Cka1 affected specifically at 2-fold discrimination level the transcription of 57 genes, and when rescued by Cka2, the transcription of 118 genes. In CKB1/CKB2 double knock-outs, transcription of 54 genes was specifically altered. Interestingly, aside overlaps between the gene spectra affected by CKA1 and CKA2 silencing, there were overlaps also between those influenced by CK2alpha and CK2beta isoform silencing. The data indicate a distinct role of CK2 in gene transcription control, identify specific functional differences between the two catalytic subunits in gene targeting, and reveal independent effects by the regulatory subunits.

Casein Kinase II↗
PubMed2002

Microchip-based high-throughput screening analysis of combinatorial libraries.

In recent years, there have been significant advances in biochemical assay miniturization and integration of microchip-based technologies with combinatorial library screening for high-throughput and large-scale applications. Small-molecule microarrays, protein arrays and cell-based arrays and conventional DNA arrays as well as microfluidic approaches in HTS are discussed in this review.

Animals↗
PubMed2003

Antibody microarrays: an evaluation of production parameters.

Antibody microarrays could have an enormous impact on the functional analysis of cellular activity and regulation, especially at the level of protein expression and protein-protein interaction, and might become an invaluable tool in disease diagnostics. The array surface is bound to have a tremendous influence on the findings from such studies. Apart from the basic issue of how to attach antibodies optimally without affecting their function, it is also important that the cognate antigens, applied within a complex protein mixture, all bind to the arrayed antibodies irrespective of their enormous variety in structure. In this study, various factors in the production of antibody microarrays on glass support were analysed: the modification of the glass surface; kind and length of cross-linkers; composition and pH of the spotting buffer; blocking reagents; antibody concentration and storage procedures, in order to evaluate their effect on array performance. Altogether, data from more than 700 individual array experiments were taken into account. In addition to home-made slides, commercially available systems were also included in the analysis.

Absorption↗
PubMed2006

Self-assembling protein arrays on DNA chips by auto-labeling fusion proteins with a single DNA address.

The high-throughput deposition of recombinant proteins on chips, beads or biosensor devices would be greatly facilitated by the implementation of self-assembly concepts. DNA-directed immobilization via conjugation of proteins to an oligonucleotide would be preeminently suited for this purpose. Here, we present a unique method to attach a single DNA address to proteins in one step during the purification from the E. coli lysate by fusion to human O6-alkylguanine-DNA-alkyltransferase (SNAP-tag) and the Avitag. Use of the conjugates in converting a DNA chip into a protein chip by self assembly is demonstrated.

Base Sequence↗
PubMed2006

Tissue microarrays: applications in urological cancer research.

Tissue microarrays (TMAs) are used to simultaneously study the expression of proteins in hundreds of tissue samples, offering the important advantage to screen large tissue banks for biomarker expression and to simultaneously examine serial sections obtained from the same tumor specimen by a time- and cost-effective analytical approach. This review article presents an overview of the importance and the impact of this technique in cancer research with increasing number of investigations using TMAs in its eighth anniversary. Its application, limitations, and selected previous study results regarding urologic malignancies are presented and discussed.

Biomarkers, Tumor↗