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 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

BACKGROUND:Animal experiments and studies in alcohol dependent patients indicate that ghrelin signaling in the brain is causally involved in the regulation of alcohol reward and intake. Increasing ghrelin levels enhances alcohol craving and intake, blocking ghrelin receptors abolishes these effects. If ghrelin is also involved in non-dependent alcohol consumption in humans, though, remains unknown. The aim was therefore to investigate the relationship between ghrelin serum levels and alcohol
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Creator: René Hänsel

Contributor: René Hänsel

Data file type: Clinical Data

BACKGROUND: Reference intervals for leukocyte subsets from peripheral blood are helpful for the understanding of disease states and therapy effects. METHODS: We performed in-depth immunophenotyping for 608 healthy German adults from the Leipzig region from 40 to 79 years by 10-color flow cytometry (FCM) to gain reference information for various leukocyte subsets including subsets of granulocytes, monocytes and lymphocytes. RESULTS: First, we derived gender- and age-specific reference intervals
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Creator: Silke Zachariae

Contributor: Silke Zachariae

Data file type: Not specified

trial data for the mental demandVariableMeaning Gender0=female1=maleMarital Status0 = married, living with partner1 = married and living separated, single, divorced, widowedEducation1 = low2 = medium3 = highEver_diabetes/ heart attack0 = no1 = yesDepression0 = no1 = yes

Creator: René Hänsel

Contributor: René Hänsel

Data file type: Not specified

No description specified

Creator: Silke Zachariae

Contributor: Silke Zachariae

Data file type: Not specified

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
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Creator: Henry Löffler-Wirth

Contributor: René Hänsel

Data file type: SOM Data

For a closer description, see the publication to which the file is attached.

Creators: Marcus Wagner, René Hänsel

Contributor: Marcus Wagner

Data file type: Image Data

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