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At least 55 records · Page 3Linked to original sources

Biosensor chip mass spectrometry: a chip-based proteomics approach.

Rapid advances in genomic sequencing, bioinformatics, and analytical instrumentation have created the field of proteomics, which at present is based largely on two-dimensional electrophoresis (2-DE) separation of complex protein mixtures and identification of individual proteins using mass spectrometry. These analyses provide a wealth of data, which upon further evaluation leads to many questions regarding the structure and function of the proteins. The challenge of answering these questions create a need for high-specificity approaches that may be used in the analysis of biomolecular recognition events and interacting partners, and thereby places great demands on general protein characterization instrumentation and the types of analyses they need to perform. Over the past five years we have been actively involved in interfacing two general, instrumental techniques, surface plasmon resonance-biomolecular interaction analysis (SPR-BIA) and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry, into a single concerted approach for use in the functional and structural characterization of proteins. Reviewed here is the recent progress made using biomolecular interaction analysis - mass spectrometry (BIA-MS) in the detailed characterization of proteins and protein-protein interactions and the development of biosensor chip mass spectrometry (BCMS) as a new chip-based proteomics approach.

Biosensing Techniques↗

Devising transcriptional regulatory networks operating during the cell cycle and differentiation using ChIP-on-chip.

The study of global transcriptional regulatory networks in eukaryotes has advanced rapidly in the last five years with the advent of genomic microarrays that allow investigators to comprehensively scrutinize the structure and composition of transcriptomes and chromatin. Many facets of this field have benefited from an examination of the location of proteins associated with chromatin. We describe here how we have used genomic arrays to perform location analysis (or ChIP-on-chip analysis) of regulatory factors that control the complex process of cell cycle progression and differentiation, in order to identify key direct transcriptional targets. Combining this information with data obtained through expression profiling and computational analysis of transcription factor binding sites has also allowed us to devise transcriptional regulatory networks governing these processes.

Animals↗

On-chip electrochemical measurement of beta-galactosidase expression using a microbial chip.

[small beta]-Galactosidase expression in a small number of Escherichia coli cells has been measured in real time with an electrochemical sensor chip. E. coli cells were embedded using collagen gel within a micropore which was microfabricated onto a chip. The activity of the expressed [small beta]-galactosidase was determined using p-aminophenyl [small beta]-d-galactopyranoside (PAPG) as a substrate.

Aminophenols↗

GATA-1 binding sites mapped in the beta-globin locus by using mammalian chIp-chip analysis.

The expression of the beta-like globin genes is intricately regulated by a series of both general and tissue-restricted transcription factors. The hemapoietic lineage-specific transcription factor GATA-1 is important for erythroid differentiation and has been implicated in regulating the expression of the erythroid-specific genes including the genes of the beta-globin locus. In the human erythroleukemic K562 cell line, only one DNA region has been identified previously as a putative site of GATA-1 interaction by in vivo footprinting studies. We mapped GATA-1 binding throughout the beta-globin locus by using chIp-chip analysis of K562 cells. We found that GATA-1 binds in a region encompassing the HS2 core element, as was previously identified, and an additional region of GATA-1 binding upstream of the gammaG gene. This approach will be of general utility for mapping transcription factor binding sites within the beta-globin locus and throughout the genome.

Animals↗

A boosting approach for motif modeling using ChIP-chip data.

MOTIVATION: Building an accurate binding model for a transcription factor (TF) is essential to differentiate its true binding targets from those spurious ones. This is an important step toward understanding gene regulation. RESULTS: This paper describes a boosting approach to modeling TF-DNA binding. Different from the widely used weight matrix model, which predicts TF-DNA binding based on a linear combination of position-specific contributions, our approach builds a TF binding classifier by combining a set of weight matrix based classifiers, thus yielding a non-linear binding decision rule. The proposed approach was applied to the ChIP-chip data of Saccharomyces cerevisiae. When compared with the weight matrix method, our new approach showed significant improvements on the specificity in a majority of cases.

Algorithms↗

Meta-analysis based on control of false discovery rate: combining yeast ChIP-chip datasets.

MOTIVATION: High-throughput microarray technology can be used to examine thousands of features, such as all the genes of an organism, and measure their expression. Two important issues of microarray bioinformatics are first, how to combine the significance values for each feature across experiments with high statistical power, and second, how to control the proportion of false positives. Existing methods address these issues separately, in spite of their linked usage. RESULTS: We present a novel method (ESP) to address the two requirements in an interdependent way. It generalizes the truncated product method of Zaykin et al. to combine only those significance values which clear their respective experiment-specific false discovery restrictive thresholds, thus allowing us to control the false discovery rate (FDR) for the final combined result. Further, we introduce several concepts that together offer FDR control, high power, quality control and speed-up in meta-analysis as done by our algorithm. Computational and statistical methods of research synthesis like the one described here will be increasingly important as additional genome-wide datasets accumulate in databases. We apply our method to combine three well-known ChIP-chip transcription factor binding datasets for budding yeast to identify significant intergenic regulatory sequences for nine cell cycle regulating transcription factors, both with high power and controlled FDR.

Algorithms↗

Chip PCR. II. Investigation of different PCR amplification systems in microbabricated silicon-glass chips.

We examined PCR in silicon dioxide-coated silicon-glass chips (12 microl in volume with a surface to volume ratio of approximately 17.5 mm(2)/microl) using two PCR reagent systems: (i) the conventional reagent system using Taq DNA polymerase; (ii) the hot-start reagent system based on a mixture of TaqStart antibody and Taq DNA polymerase. Quantitative results obtained from capillary electrophoresis for the expected amplification products showed that amplification in microchips was reproducible (between batch coefficient of variation 7.71%) and provided excellent yields. We also used the chip for PCR directly from isolated intact human lymphocytes. The amplification results were comparable with those obtained using extracted human genomic DNA. This investigation is fundamental to the integration of sample preparation, polynucleotide amplification and amplicate detection on a microchip.

Antibodies↗

ChIP-chip comes of age for genome-wide functional analysis.

In the post-genome era, attention has focused on the functions of genome sequences and how they are regulated. The emerging epigenomic changes and the interactions between cis-acting elements and protein factors may play a central role in gene regulation. To understand the crosstalk between DNA and protein on a genome-wide scale, one emerging technique, called ChIP-chip, takes the strategy of combining chromatin immunoprecipitation with microarray. This new high-throughput strategy helps screen the targets of critical transcription factors and profile the genome-wide distribution of histone modifications, which will enable the feasibility of conducting a large-scale study, such as the Human Epigenome Project.

Animals↗

ChIPOTle: a user-friendly tool for the analysis of ChIP-chip data.

ChIPOTle (Chromatin ImmunoPrecipitation On Tiled arrays) takes advantage of two unique properties of ChIP-chip data: the single-tailed nature of the data, caused by specific enrichment but not specific depletion of genomic fragments; and the predictable enrichment of DNA fragments adjacent to sites of direct protein-DNA interaction. Implemented as a Microsoft Excel macro written in Visual Basic, ChIPOTle uses a sliding window approach that yields improvements in the identification of bona fide sites of protein-DNA interaction.

Algorithms↗

Inferring transcriptional modules from ChIP-chip, motif and microarray data.

'ReMoDiscovery' is an intuitive algorithm to correlate regulatory programs with regulators and corresponding motifs to a set of co-expressed genes. It exploits in a concurrent way three independent data sources: ChIP-chip data, motif information and gene expression profiles. When compared to published module discovery algorithms, ReMoDiscovery is fast and easily tunable. We evaluated our method on yeast data, where it was shown to generate biologically meaningful findings and allowed the prediction of potential novel roles of transcriptional regulators.

Algorithms↗

[Chips instead of mice: cells on bioelectronic sensor-chips as an alternative to animal experiments].

An alternative assay for replacing animal experiments should serve the specific microphysiological needs of the cells and be endowed with multiparametric signal monitoring. These requirements are provided by a test system in which the key elements are biocompatible electronic sensor-chips. It is also connected to a medium perfusion set-up, which allows to control the supply of nutrients and test compounds, and the removal of culture medium. The chips are equipped with sensors that continuously monitor basic metabolic parameters and membrane-associated changes of living cells: pH-ISFETs for extracellular acidification, amperometric O2-sensors for oxygen consumption, and IDES for electrical impedance of the cell layer. Experiments with LS174T colon carcinoma cells in culture show the metabolic and electrical changes upon incubation with Zytochalasin B and chloroacetaldehyde. The signal patterns vary and indicate different mechanisms of action for these test compounds. With this test system it is possible to detect effects of unknown substances and mixtures, and to analyse the cellular probe for prolonged times.

Animal Testing Alternatives↗

Discovering transcriptional modules from motif, chip-chip and microarray data.

We present a method for inference of transcriptional modules from heterogeneous data sources. It allows identifying the responsible set of regulators in combination with their corresponding DNA recognition sites (motifs) and target genes. Our approach distinguishes itself from previous work in literature because it fully exploits the knowledge of three independently acquired data sources: ChIP-chip data; motif information as obtained by phylogenetic shadowing; and gene expression profiles obtained using microarray experiments. Moreover, these three data sources are dealt with in a new and fully integrated manner. By avoiding approaches that take the different data sources into account sequentially or iteratively, the transparency of the method and the interpretability of the results are ensured. Using our method on biological data demonstrated the biological relevance of the inference.

Algorithms↗

RNA chip: quality assessment of RNA by microchannel linear gel electrophoresis in injection-molded plastic chips.

Two major components of rRNA (18S and 28S rRNA) were separated by electrophoresis in injection-molded acrylic chips with a microchannel 100 microm in width, 40 microm in depth, and with 1 cm of separation distance. Microchannels were filled with 4 g/L hydroxypropylmethylcellulose as sieving polymer and 5 mg/L ethidium bromide for RNA staining. The fluorescent signals were detected by a fluorescent microscope equipped with a photometer and 590 nm emission filter. The assay is rapid (<3 min), reproducible, RNase-free, and requires only 1-2 microL of sample. The detection limit was approximately 10 mg/L (10 ng/microL), 100-fold lower than that for conventional agarose gel electrophoresis. Because only 0.1 nL of the loaded sample was used for electrophoresis, the detectable peaks of rRNA in the separation were derived from less RNA than in a single cell. Because the quality of RNA is critical for RNA-related diagnostic tests, disposable plastic chips will be useful for quality assessment of RNA.

Animals↗

Actin filament guidance on a chip: toward high-throughput assays and lab-on-a-chip applications.

Biological molecular motors that are constrained so that function is effectively limited to predefined nanosized tracks may be used as molecular shuttles in nanotechnological applications. For these applications and in high-throughput functional assays (e.g., drug screening), it is important that the motors propel their cytoskeletal filaments unidirectionally along the tracks with a minimal number of escape events. We here analyze the requirements for achieving this for actin filaments that are propelled by myosin II motor fragments (heavy meromyosin; HMM). First, we tested the guidance of HMM-propelled actin filaments along chemically defined borders. Here, trimethylchlorosilane (TMCS)-derivatized areas with high-quality HMM function were surrounded by SiO(2) domains where HMM did not bind actin. Guidance along the TMCS-SiO(2) border was almost 100% for filament approach angles between 0 and 20 degrees but only about 10% at approach angles near 90 degrees . A model (Clemmens, J.; Hess, H.; Lipscomb, R.; Hanein, Y.; Bohringer, K. F.; Matzke, C. M.; Bachand, G. D.; Bunker, B. C.; Vogel, V. Langmuir 2003, 19, 10967-10974) accounted for essential aspects of the data and also correctly predicted a more efficient guidance of actin filaments than previously shown for kinesin-propelled microtubules. Despite the efficient guidance at low approach angles, nanosized (<700 nm wide) TMCS tracks surrounded by SiO(2) were not effective in guiding actin filaments. Neither was there complete guidance along nanosized tracks that were surrounded by topographical barriers (walls and roof partially covering the track) unless there was also chemically based selectivity between the tracks and surroundings. In the latter case, with dually defined tracks, there was close to 100% guidance. A combined experimental and theoretical analysis, using tracks of the latter type, suggested that a track width of less than about 200-300 nm is sufficient at a high HMM surface density to achieve unidirectional sliding of actin filaments. In accord with these results, we demonstrate the long-term trapping of actin filaments on a closed-loop track (width < 250 nm). The results are discussed in relation to lab-on-a-chip applications and nanotechnology-assisted assays of actomyosin function.

Actin Cytoskeleton↗

P-chip and P-chip bienzyme electrodes based on recombinant forms of horseradish peroxidase immobilized on gold electrodes.

Adsorption and bioelectrocatalytic activity of native horseradish peroxidase (HRP) and its recombinant forms on polycrystalline gold electrodes were studied. Recombinant forms of HRP were produced by a genetic engineering approach using an E. coli expression system. According to direct mass measurements with a quartz crystal microbalance, all the forms of HRP formed monolayer coverage of the enzyme on the gold surface. However, only gold electrodes modified with the recombinant HRP forms (non-glycosylated) exhibited high and stable current response to H2O2 due to its bioelectrocatalytic reduction based on direct electron transfer (ET) between gold and the active site of the enzyme. Introduction of a six-His tag either at the C-terminus or at the N-terminus of the enzyme molecule additionally increased the strength of the enzyme binding with the gold surface and the efficiency of direct ET. Immobilization of recombinant forms of HRP containing histidine functional groups on the surface of the gold electrode was used both for the development of a P-chip, a biosensor for hydrogen peroxide determination based on direct ET, and for the development of a bienzyme biosensor electrode for the determination of L-lysine based on co-immobilized recombinant forms of HRP and L-lysine-alpha-oxidase.

Adsorption↗