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.

High Performance Chip Data Analysis (HPCDA) improves expression profiling of Affymetrix chips via Bioretis database: you can easily use the default parameters and are sure to get the optimum of true positive results, independant of number of significant genes in your dataset. Gene List Significance Index (GLSI) quantifies quality of gene lists. With GLSI its easily judged which normalization/analyzing method gives better results. HPCDA score ranks by relevance.

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 study in the carrot alternative oxidase gene DcAOX2b from several individual plant genotypes of D. carota cv. Rotin revealed the frequent occurrence of intron length polymorphisms (ILPs). Here we will present an in silico analysis performed in order to identify putative miRNA sites at three different sizes of intron 1. The overall research approach aims to develop functional marker candidates for carrot plant breeding.

Peripheral blood is widely used as starting material for biomarker discovery and validation using molecular biology technologies. The vast majority of currently published transcriptome data is based on RNA derived either from stabilized whole blood or peripheral blood mononuclear cells (PBMCs). Here, gene expression profiling studies and SOPs for fast, easy and specific manual or automated isolation of monocytes directly from whole blood are being described.

The goal: To get novel insights into the mechanisms of prostate adenocarcinoma by leveraging next generation sequencing (NGS) data, particularly human transcriptome data, through in silico data analysis and interpretation by Ingenuity’s IPA® software. CLC Genomics Workbench and CLC Genomics Server helped us assess short read RNA-Seq data.

According to the BBMRI (Biobanking and Biomolecular Resources Research Infrastructure) about 8,000,000 formalin-fixed paraffin-embedded (FFPE) samples derived from a multitude of different diseases have been collected in medical centers and biobanks all over Europe during the last decades.

Dicer1 expression is upregulated in cell-specific fashion in human Fallopian tubes during ovulation. The stage-dependent expression of Dicer1 and its correlation with ERa, ERß2, and PRB mRNA suggests that tubal Dicer1 helps regulate tubal expression of steroid hormone receptors in a cycle-dependent manner and may contribute to tubal transport in humans.

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.