DNA Methylation Analysis – Reliable Cell Characterization in Regenerative Medicine
We demonstrate that DNA methylation patterns can serve as characteristic markers to distinguish different cell types. We have identified panels of methylation markers that are specific to mesenchymal stem cells or various differentiated cell types in the mesenchymal lineage. This method of cell type identification has a number of advantages over conventional markers in that it is robust, is both qualitative and quantitative.
The Impact of the PCK1 Gene and PPCK1 Promoter Polymorphism 232C→G on the Incidence of TIIDM in Oji-Cree Natives of Ontario
The reported incidence of Type II Diabetes Mellitus (TIIDM) in Oji-Cree Natives is the highest in the world. This poster presents the impact of the PCK1 gene on TIIDM incidence in Oji-Cree Natives with particular attention to the role of SNP 232C→G on the transcription rate of phosphoenolpyruvate carboxykinease (PPCK1).
EM Algorithm for Gene Copy Number Estimation Using TaqMan® Assays
Recently, TaqMan® assays have been developed for detection of genetic variation at gene level using primers and probes designed for genomic DNA sequences. The R package TaqGCN contains classes and methods that can be used for data reading and plotting, and for predicting gene copy number.
EasyBeacons™ - new Probes Ideal for Realtime PCR Detection of Methylation Status of Single CpG Duplets and SNPs
The EasyBeacons™ presented here are based on the novel technology Intercalating Nucleic Acid, INA®, linked to a fluorophore and a quencher. INA® is composed of normal DNA nucleotides and Intercalating Pseudo Nucleotides (IPNs). The fact that the EasyBeacons™ are mostly composed of normal DNA nucleotides means that in many respects EasyBeacons™ behave like DNA based probes, allowing use of standard buffers, primers and enzymes and hence reduces the optimisation efforts.
Real-time PCR in Diagnostics of Plant Viruses
Sensitive and specific method real-time PCR was developed for diagnostics of certain plant viruses. Real-time PCR can be used for determination of different viruses as well as for differentiation between related strains of viruses. The method can also be used for detection of low concentrations of plant viruses in various samples such as environmental waters, growth substrates and seeds.
Real-Time Multiplex Rt-PCR on Circulating Tumor Cells
Using the CTC kit (CellSearch™), cells that attached to anti-EpCAM Moab were immunomagnetically separated and used for analysis of a selected pilot set of 32 genes by real time RT-PCR. This study shows the feasibility of multiple gene expression analysis on RNA isolated from only one tumor cell. Most importantly, expression analysis of several tumor-specific genes in blood samples containing only 2 tumor cells is already possible.
Novel Fluidics Microbead Trap/Flow Cell Enhances Speed/Sensitivity of Bead-Based Bioassays Up to 5-Fold
Pacific Northwest National Laboratory (PNNL) has developed a micro/nano particle trap that allows surface-functionalized magnetic or non-magnetic particles to be trapped with subsequent perfusion of sample, reagents and wash solutions, yielding significant (up to 5-fold) improvements in assay speed and sensitivity, while significantly reducing sample matrix effects.
Utilizing High Speed Photography to Optimize Low Volume Dispensing Conditions
In this study we use high-speed photography as a feedback mechanism for adjusting the Nanodrop instrument dispense settings to improve the positional dispense accuracy of low volume (nanoliter) drops. These same parameters can be investigated, with various fluid classes, to reduce deleterious effects on dispensing performance such as deflected streams, satellite formation, secondary pulses and drop deformation.
Combined Immune Parameters and X-ray data in Early Prediction of Anti-Tuberculosis Chemotherapy Response
20 tuberculosis (12 slow-responders and 8 fast responders) patients were treated with directly observed short course anti-tuberculosis chemotherapy. Chest X-ray was performed. sICAM-1 and suPAR were measured in serum by ELISA, TNFRs using the luminex technology. General discrimination analysis on selected analytes gave, 91.66% and 87,50% correctly classify fast responders and slow responder respectively. The support vector machine analysis gave 100% correct classification.