Data files
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 Methylation profiling of primary tumor samples from 122 patients with cerebral gliomas with WHO grade II and grade III tumors.
Creators: Hans Binder, Markus Kreuz, Henry Löffler-Wirth
Submitter: Christoph Beger
Data file type: Methylation Data
Human Diseases: brain glioma
Three-dimensional (3D) whole body scanner data of nearly 10,000 participants of a cohort collected from the adult population of Leipzig.
Download307 single cells cultured from three biopsies of three different patients with a BRAF/NRAS wild type, BRAF mutant/NRAS wild type and BRAF wild type/NRAS mutant melanoma metastasis, respectively
Creators: Hans Binder, Henry Löffler-Wirth, Manfred Kunz
Submitter: Christoph Beger
Data file type: Genomic Data
Human Diseases: melanoma
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 Methylation profiling of primary tumor samples from 122 patients with cerebral gliomas with WHO grade II and grade III tumors.
Creators: Hans Binder, Henry Löffler-Wirth, Markus Kreuz
Submitter: Christoph Beger
Data file type: Methylation Data
Human Diseases: brain glioma
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.
Creators: Hans Binder, Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Data file type: SOM Data
Human Diseases: brain glioma
External LinkA series of 80 samples from benign melanocytic nevi and primary melanoma samples were analyzed by RNA sequencing (RNA-seq) to identify transcriptomic changes underlying early melanoma development.
Recent technological advances in single-cell genomics make it possible to analyze cellular heterogeneity of tumor samples. Here, we applied single-cell RNA-seq to measure the transcriptomes of 307 single cells cultured from three biopsies of three different patients with a BRAF/NRAS wild type, BRAF mutant/NRAS wild type and BRAF wild type/NRAS mutant melanoma metastasis, respectively. Analysis based on self-organizing maps identified sub-populations defined by multiple gene expression modules ...
