Objectives of this project were to exploit the database in indian setting to determine nuclear antigens as target for antinuclear antibodies (ANA) in patients of autoimmune hapatitis (AIH) type1.

Transcreener® ADP2 Assays are homogenous assays with fluorescent readouts that enable the detection and screening of established drug targets including protein and lipid kinases, as well as emerging targets such as carbohydrate kinases, triphosphatases, heat shock proteins and other ATPases.

The characterization of autoimmune disease-specific biomarkers are of primary importance for the development of diagnostic tools and the comprehension of pathogenetic mechanisms leading to autoimmunity. To this aim a protein microarray was employed to analyze serum samples from patients with autoimmune hepatitis (e.g. AIH & PBC) and of healthy as controls. A panel of autoantigens able to discriminate among the groups of patients was identified for potential use as biomarkers.

A proprietary and structurally diverse fragment library has been created and screened for a variety of Gprotein coupled receptors (GPCRs) and a number of other drug targets. The data allows for a fragment-based chemogenomics study to interrogate the interactions of GPCRs and their ligands.

Head and neck cancer sufferers are inherently at risk of refeeding syndrome, which had a prevalence of 9.5% in our series. Our results suggest that site of tumour (but not tumour or nodal staging) is a prognostic indicator for developing refeeding syndrome.

Stephanie Bougel, from the University of Lausanne, France, won the award for best poster at the European Biomarkers Summit and Exhibtion held in Florence, Italy on the 9th - 10th November 2010.

Aim of the study: 1. To develop a specific, sensitive, quantitative, and fast method for detection of hTERT methylation 2. To explore its use as a cancer biomarker in the diagnosis of metastatic tumors in CSF.

HBV and HIVenv chips with overlapping oligopeptides encompassing the full amino acid sequences of HBV and HIV polypeptides were produced. In addition, a chip displaying a library of random 4608 different 15-mers peptides (4608-RPL) was prepared. Both chips were used for analyzing monoclonal antibodies and sera from HIV- and HBV-infected individuals. 4608-RPL could be used for identifying target sequences of antibodies without prior knowledge of the corresponding immunizing antigen.

In the post acqusition analysis of comprehensive -omics data the pre-processing pipe-line is crucial to extract the maximum possible amount of information from the data. Here we show a processing pipe-line for (1D)H-NMR and (2D)X/MS data comprising; feature detection, inter-sample feature alignment and internal-standard free normalization that outperforms today’s state-of-the-art processing schemes.

In metabolic profiling, multivariate data analysis techniques are used to interpret 1D 1H–NMR data. Multivariate data analysis techniques require that peaks are located in the same variables in every spectrum – this requirement is not met in native NMR spectra. Current state-of-the-art alignment algorithms are unable to align peaks when the spatial order of the peaks changes. We present the Fuzzy Generalized Hough Transform alignment which solves the alignment problem.