Latest Posters
Poster
Biomarker Discovery Strategy for Trisomy 21 Using iTRAQ and 4800 Plus MALDI TOF/TOF
Plasma proteins serve as good indicators of disease as there are representative proteins from several cellular processes and thus a potential source for biomarker discovery. The large dynamic range of plasma proteins makes the analysis very challenging, as a large number of low abundance proteins are masked by a few high abundance proteins.
Poster
Antibody Array-Based Analysis of Expression Levels in Protein Mixtures Extracted from Formalin-Fixed Paraffin-Embedded (FFPE) Material using ULS Labeling
Protein was extracted from 7-year old FFPE samples of B-cell lymphoma and mamma carcinoma, followed by ULS labeling. Samples were used for single or two color assays using a custom-made antibody array. We observed differential expression levels for several captured analytes. In B-cell lymphoma, expected high levels of IgM were detected, while high levels of CA19-9, a putative marker, were found for the breast cancer tissue.
Poster
Glycoprotein Labeling and Detection: Novel Click Chemistry-based Applications for gel Electrophoresis, Flow Cytometry and Fluorescence Microscopy
We demonstrate highly-selective and sensitive labeling methods for the detection of specific glycoprotein subclasses, including cell surface N- and O-linked glycoproteins and intracellular O-GlcNAc modified proteins, utilizing the copper-catalyzed cycloaddition reaction between azides and alkynes, or click chemistry.
Poster
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).
Poster
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.
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