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Identification of novel autoantigensin patients with liver autoimmune diseases by Protein MicroArray
C. Zingaretti1, M. Arigò1, A. Cardaci1, A. Sinisi1, L. Muratori3, P. Colombatto4, F. Bonino2, P. Invernizzi5, , A.L. Zignego6 MC. Crosti1, M. Moro1, J. Geginat1, Pagani M.1, R. De Francesco1, S. Abrignani1. & M. Bombaci1

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.

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Intronic polymorphisms in Daucus carota AOX2b generate putative genotype specific miRNA
Hélia G. Cardoso, Maria Doroteia Campos, Birgit Arnholdt-Schmitt

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.

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Gene expression analysis of CD14+ monocytes immunomagnetically separated directly from whole blood: adaptation of protocols towards clinical trial requirements
Gregor Winkels1, Ines Dischinger1, Katharina Bublitz1, Evert Luesink2, Nanguneri R. Nirmala2, Frank Staedtler2, Keith J. Johnson2, Alena Fitz1, Sabrina Schmitz1, Dirk Dietrich1, Sonja Balzer1, Sabine Classen1, Silvia Rüberg1, Uwe Janssen1, and Bernhard Gerstmayer1

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.

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Integrated In Silico Analysis of NGS Prostate Cancer Data via High-Resolution RNA-Seq Analysis
Sandeep Sanga , Antoaneta Vladimirova, Aubree Hoover

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.

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Gene Expression Profiling of Archived FFPE Samples
Silvia Rüberg, Sabine Classen, Jana Ciomperlik, Dirk Dietrich, Ines Dischinger, Alena Böttcher, Sabrina Schmitz and Bernhard Gerstmayer

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.

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Differential Expression and Localization of Dicer1 and Ovarian Steroid Hormone Receptors in Human Fallopian Tubes
Ruijin Shao et al.

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.

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An improved data processing pipe-line for comprehensive H-NMR and X/MS -omics data
R. J. O. Torgrip, K. M. Åberg, E. Alm

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.

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Alignment of 1H-NMR data using a Generalized Fuzzy Hough Transform
Erik Alm, Leonard Csenki, Ralf J.O. Torgrip, K. Magnus Åberg, Lars I. Nord, Ina Schuppe-Koistinen and Johan Lindberg

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.

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ROLE OF IRF-8 IN THE INTERFACE OF MELANOMA TUMOR CELL-IMMUNE SYSTEM INTERACTION.
Fabrizio Mattei, Giovanna Schiavoni, Massimo Spada, Francesca Spadaro and Lucia Gabriele

Interferon-regulatory factor-8 is essential for differentiation and function of dendritic cells and thus for the induction of competent immune responses. Here, we investigated the role of IRF-8 in affecting immune response against melanoma. Our results reveal a critical role of IRF-8 in controlling melanoma growth and suggest that IRF-8-mediated antitumor activity is the result of a coordinated action between DC-mediated immune response and the tumor suppressor function of IRF-8.

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Showing Results 71 - 80 of 161
Scientific News
New Metabolic Biomarkers Predict Future Cardiovascular Diseases
Scientists of the Helmholtz Zentrum München contributed to the analysis of the biomarkers.
Noisy Data Facilitates Investigation of Breast Cancer Gene Expression
Study tested the potential of denoising autoencoders to identify and extract complex patterns from genomic data.
New 'Systems Genetics' Study Identifies Possible Target For Epilepsy Treatment
A single gene that coordinates a network of about 400 genes involved in epilepsy could be a target for new treatments, according to research.
First Major Analysis Of Human Protein Atlas Published
A research article published in Science presents the first major analysis based on the Human Protein Atlas, including a detailed picture of the proteins that are linked to cancer, the number of proteins present in the bloodstream, and the targets for all approved drugs on the market.
Insights Into A Rare Genetic Disease
Study shows mutation in NGLY1 gene is linked to a genetic disorder with severe consequences.
Hidden Cell Types Revealed
New statistical method for RNA-seq analysis identifies, corrects for hidden structure between cells.
Prognostic Test for E2F4 in Breast Cancer Developed
A gene signature in E2F4 has been identified which is predictive of estrogen receptor positive breast cancer.
UMMS Receives $6.1 M to Develop Model for Predicting Gene Expression
Insight into regulation of the genes that allow the immune system to recognize pathogens will help scientists rationally design new vaccines and prevent autoimmunity.
Project to Focus on Link Between Immune System and Brain Disorders
Researchers to investigate whether mood disorders, such as depression, and neurodegenerative diseases, such as Alzheimer’s, could be treated by targeting the immune system.
Predicting Antibiotic Resistance
A common set of features appear to be responsible for the development of resistance to several types of antibiotics.
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