Data files

154 Data files visible to you, out of a total of 158

We performed gene-expression profiling using Affymetrix U133A GeneChips with RNA from 220 mature aggressive B-cell lymphomas, including a core group of 8 Burkitt's lymphomas that met all World Health Organization (WHO) criteria. A molecular signature for Burkitt's lymphoma was generated, and chromosomal abnormalities were detected with interphase fluorescence in situ hybridization and array-based comparative genomic hybridization.

Creator: Michael Hummel

Contributor: Christoph Beger

Data file type: OMICs Data

We performed gene-expression profiling using Affymetrix U133A GeneChips with RNA from 873 biopsy specimens including diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), Burkitt’s lymphoma (BL), mixed FL/DLBCL lymphomas, primary mediastinal large B-cell lymphoma (PMBL), multiple myeloma (MM), IRF4-rearranged large cell lymphoma, MYC-negative high-grade B-cell lymphomas with Chr. 11q aberration pattern (mnBLL-11q), and Mantle cell lymphoma (MCL).

Creator: Henry Löffler-Wirth

Contributor: Christoph Beger

Data file type: OMICs Data

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed microarray-based genome- and transcriptome-wide molecular profiling of primary tumor samples from 137 patients with cerebral gliomas, 61 WHO grade II and 76 WHO grade III tumors.

Creator: Christoph Beger

Contributor: Christoph Beger

Data file type: OMICs Data

Molecular profiling of cerebral gliomas distinguishes biologically distinct tumor groups and provides prognostically relevant information beyond histological classification and IDH1/2 mutation status. We performed microarray-based genome- and transcriptome-wide molecular profiling of primary tumor samples from 137 patients with cerebral gliomas, 61 WHO grade II and 76 WHO grade III tumors.

Creator: Christoph Beger

Contributor: Christoph Beger

Data file type: SOM Data

Powered by
(v.1.9.1)
Copyright © 2008 - 2019 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig