Gold nanoparticle-based detection of genomic DNA targets on microarrays using a novel optical detection system

The development of a nanoparticle-based detection methodology for sensitive and specific DNA-based diagnostic applications is described. The technology utilizes gold nanoparticles derivatized with thiol modified oligonucleotides that are designed to bind complementary DNA targets. A glass surface with arrays of immobilized oligonucleotide capture sequences is used to capture DNA targets, which are then detected via hybridization to the gold nanoparticle probes. Amplification with silver allows for detection and quantitation by measuring evanescent wave induced light scatter with low-cost optical detection systems. Compared to Cy3-based fluorescence, silver amplified gold nanoparticle probes provide for a approximately 1000-fold increase in sensitivity. Furthermore, direct detection of non-amplified genomic DNA from infectious agents is afforded through increased specificity and even identification of single nucleotide polymorphisms (SNP) in human genomic DNA appears feasible.     

Homogeneous detection of unamplified genomic DNA sequences based on colorimetric scatter of gold nanoparticle probes

Nucleic acid diagnostics is dominated by fluorescence-based assays that use complex and expensive enzyme-based target or signal-amplification procedures. Many clinical diagnostic applications will require simpler, inexpensive assays that can be done in a screening mode. We have developed a 'spot-and-read' colorimetric detection method for identifying nucleic acid sequences based on the distance-dependent optical properties of gold nanoparticles. In this assay, nucleic acid targets are recognized by DNA-modified gold probes, which undergo a color change that is visually detectable when the solutions are spotted onto an illuminated glass waveguide. This scatter-based method enables detection of zeptomole quantities of nucleic acid targets without target or signal amplification when coupled to an improved hybridization method that facilitates probe-target binding in a homogeneous format. In comparison to a previously reported absorbance-based method, this method increases detection sensitivity by over four orders of magnitude. We have applied this method to the rapid detection of mecA in methicillin-resistant Staphylococcus aureus genomic DNA samples.     

Reliability analysis of flexible manufacturing systems

High productivity is the primary goal of flexible manufacturing systems (FMSs) in which semi-independent workstations are integrated using automated material-transport systems and hierarchical local networks. Availability of various subsystems and of the system as a whole is a prerequisite for achieving functional integration as well as high throughput. An FMS also has inherent routing and operation flexibilities that provide it with a certain degree of fault tolerance. A certain volume of production can thus be maintained in the face of subsystem (i.e., machines, robots, material handling system, etc.) failures. In this article, we propose two reliability measures, namely, part reliability (PR) and FMS reliability (FMSR) for manufacturing systems and present algorithms to evaluate them. We also consider the dynamic or time-dependent reliability analysis as a natural generalization of the static analysis. The methods outlined use an algorithm that generates process-spanning graphs (PSGs), which are used to evaluate the reliability measures.     

Use of a steroid cyclic disulfide anchor in constructing gold nanoparticle-oligonucleotide conjugates

A new anchoring group is described for binding oligonucleotides to gold surfaces. On the basis of a ketal derived from 4,5-dihydroxy-1, 2 dithiane and epiandrosterone, it is easy to prepare and to link to oligonucleotides. Gold nanoparticle-oligonucleotide conjugates made using this cyclic disulfide linker serve as effective probes for detecting specific oligonucleotide sequences, and they exhibit much greater stability toward dithiothreitol than corresponding conjugates prepared with the conventional mercaptohexyl group or an acyclic disulfide unit. The high stability toward thiol deactivation likely results, in part at least, from anchoring each oligonucleotide to gold through two sulfur atoms.     

Functional characterization of the DNA mismatch binding protein MutS from Haemophilus influenzae

This investigation demonstrates DNA mismatch repair activity in Haemophilus influenzae cell free extracts. The mutS gene as well as purified protein of H. influenzae restored repair activity in complementation assays performed with mutS deficient Escherichia coli strain. The difference in affinity for GT and AC mismatched bases by H. influenzae MutS was reflected in the efficiency with which these DNA heteroduplexes were repaired in vitro, with GT being repaired well and AC the least. Unlike E. coli MutS, the H. influenzae homolog failed to give protein-DNA complex with homoduplex DNA. Interestingly, MutS was found to bind single-stranded DNA but with lesser affinity as compared to heteroduplex DNA. Apart from the nucleotide- and DNA-mediated conformational transitions, as monitored by circular dichroism and limited proteolysis, our data suggest a functional role when H. influenzae MutS encounters single-stranded DNA during exonucleolytic step of DNA repair process. We propose that, conformational changes in H. influenzae MutS not only modulate mismatch recognition but also trigger some of the down stream processes involved in the DNA mismatch repair process.     

Site-specific PEGylation of bone morphogenetic protein-2 cysteine analogues

Three cysteine analogues of bone morphogenetic protein (BMP)-2, BMP2A2C, BMP2N56C, and BMP2E96C, were generated in order to enable the attachment of SH-reactive poly(ethylene glycol) (PEG) at specific sites. Three different approaches (Ap) were used for SH-specific PEGylation: (Ap1) reaction of glutathione activated proteins with thiol PEG; (Ap2) reaction of DTT reduced proteins with orthopyridyl disulfide PEG; (Ap3) reaction of DTT reduced proteins with maleimide PEG. Non-, mono-, and di-PEGylated BMP-2 analogues could be separated by RP-HPLC. Trypsin digestion of PEGylated proteins and Trypsin and GluC double-digestion of N-ethylmaleimide-labeled proteins confirmed that the modifications were site-specific. Surface plasmon resonance analysis of type I and type II receptor binding of the PEGylated BMP-2 analogues revealed that all three PEGylation approaches were equivalent. PEGylation at positions 2 and 96 caused a similar decrease in receptor affinity. PEGylation at position 56 resulted in a larger decrease in affinity for both types of receptors. Mono-PEGylated BMP-2 analogues exhibited intermediate affinities in comparison with unmodified and di-PEGylated proteins. However, the biological activity of the PEGylated BMP-2 analogues as measured in alkaline phosphatase assay was higher than BMP-2 wild-type for the PEGylated BMP2A2C, slightly reduced for the BMP2N56C, and strongly reduced for the BMP2E96C. These results taken together indicate that specific attachment of PEG at engineered sites of BMP-2 is possible and that the attachment site is critical for biological activity. Furthermore, the biological activity of PEGylated BMP-2 analogues in cell culture seems to be determined not only by receptor affinity, but also by other factors such as protein solubility and stability. It is also discussed that the attached PEG interferes with the binding of BMP-2 to modulator proteins, co-receptors, or heparinic sites of proteoglycans in the extracellular matrix.     

Synthesis of Amide Linked Nucleosides at the 6 Position of Deoxy Inosine and Their application to DNA synthesis,Hybridization Studies.

Abstract

Synthesis of amide linked nucleosides at the 6 position of the purine base to recognize “G:C” base pair in a DNA duplex is described. Here we describe the synthesis of amide linked nucleosides containing heteroatoms N, O and C and their application to DNA synthesis and hybridization studies.     

Ultrashort electric pulse induced changes in cellular dielectric properties

The interaction of nanosecond duration pulsed electric fields (nsPEFs) with biological cells, and the models describing this behavior, depend critically on the electrical properties of the cells being pulsed. Here, we used time domain dielectric spectroscopy to measure the dielectric properties of Jurkat cells, a malignant human T-cell line, before and after exposure to five 10ns, 150kV/cm electrical pulses. The cytoplasm and nucleoplasm conductivities decreased dramatically following pulsing, corresponding to previously observed rises in cell suspension conductivity. This suggests that electropermeabilization occurred, resulting in ion transport from the cell's interior to the exterior. A delayed decrease in cell membrane conductivity after the nsPEFs possibly suggests long-term ion channel damage or use dependence due to repeated membrane charging and discharging. This data could be used in models describing the phenomena at work.     

Predicting Growth Conditions from Internal Metabolic Fluxes in an In-Silico Model of E. coli

A widely studied problem in systems biology is to predict bacterial phenotype from growth conditions, using mechanistic models such as flux balance analysis (FBA). However, the inverse prediction of growth conditions from phenotype is rarely considered. Here we develop a computational framework to carry out this inverse prediction on a computational model of bacterial metabolism. We use FBA to calculate bacterial phenotypes from growth conditions in E. coli, and then we assess how accurately we can predict the original growth conditions from the phenotypes. Prediction is carried out via regularized multinomial regression. Our analysis provides several important physiological and statistical insights. First, we show that by analyzing metabolic end products we can consistently predict growth conditions. Second, prediction is reliable even in the presence of small amounts of impurities. Third, flux through a relatively small number of reactions per growth source (∼10) is sufficient for accurate prediction. Fourth, combining the predictions from two separate models, one trained only on carbon sources and one only on nitrogen sources, performs better than models trained to perform joint prediction. Finally, that separate predictions perform better than a more sophisticated joint prediction scheme suggests that carbon and nitrogen utilization pathways, despite jointly affecting cellular growth, may be fairly decoupled in terms of their dependence on specific assortments of molecular precursors.