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accession-icon GSE110548
Exon expression profiling of de novo diffuse large B-cell lymphoma samples
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Exon expression profiling was performed on 37 clinical DLBCL samples and subsequently analyzed using alternative splice analysis of vairance (asANOVA) implemented in Partek Genomics Suite in order to identify alternative spliced genes.

Publication Title

Expression of NOTCH3 exon 16 differentiates Diffuse Large B-cell Lymphoma into molecular subtypes and is associated with prognosis.

Sample Metadata Fields

Treatment

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accession-icon GSE68878
Gene expression profiles of normal B-cell subsets from sternal bone marrow
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: huex10st_Hs_ENSG_18.0 (huex10st)

Description

Mononuclear cells were isolated from the sternal bone marrow and prepared for multiparametric flow cytometry using an optimized and validated protocol. B-cell subsets of PreBI, PreBII, Immature, Naive, Memory and Plasma cells were isolated and a al of 38 gene expression profiles were generated using the HuEx-1_0-st-v2-micro array chip from Affymetrix to characterize the gene expression in the individual subpopulations.

Publication Title

Long Noncoding RNA Expression during Human B-Cell Development.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE69033
Long noncoding RNA expression during human B-cell development
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: huex10st_Hs_ENSG_18.0 (huex10st)

Description

Long noncoding RNAs (lncRNAs) have emerged as important regulators of diverse cellular processes, but their roles in the developing immune system are poorly understood. In this study, we analysed lncRNA expression during human B-cell development by array-based expression profiling of eleven distinct flow-sorted B-cell subsets, comprising pre-B1, pre-B2, immature, naive, memory, and plasma cells from bone marrow biopsies (n=7), and naive, centroblast, centrocyte, memory, and plasmablast cells from tonsil tissue samples (n=6), respectively. A remapping strategy was used to assign the array probes to 37630 gene-level probe sets, reflecting the most recent updates in genomic and transcriptomic databases, which enabled expression profiling of 19579 long noncoding RNAs, comprising 3947 antisense RNAs, 5277 lincRNAs, 7625 pseudogenes, and 2730 additional lncRNAs. As a first step towards inferring the functions of the identified lncRNAs in developing B-cells, we analysed their co-expression with well-characterized protein-coding genes, a method known as guilt by association. By using weighted gene co-expression network analysis, we identified 272 lincRNAs, 471 antisense RNAs, 376 pseudogene RNAs, and 64 lncRNAs within seven sub-networks associated with distinct stages of B-cell development, such as early B-cell development, B-cell proliferation, affinity maturation of antibody, and terminal differentiation. These data provide an important resource for future studies on the functions of lncRNAs in development of the adaptive immune response, and the pathogenesis of B-cell malignancies that originate from distinct B-cell subpopulations.

Publication Title

Long Noncoding RNA Expression during Human B-Cell Development.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE53798
Expression data from malignant human B-cell cell lines
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used global gene expression profiles from human B-cell cell lines to generate gene expression signatures for prediction of response to the drugs cyclophosphamide, doxorubicin or vincristine. The signatures were validated in two publicly available clinical cohorts.

Publication Title

Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE74266
Gene expression profiling in DLBCL primary clinical samples
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling was performed for 28 DLBCL primary clinical samples and assignment of activated B-cell-like(ABC)/germinal center B-cell-like (GCB) DLBCL classes, B-cell-associated gene signature (BAGS), and a probability of response to doxorubicin was performed for each sample.

Publication Title

High miR-34a expression improves response to doxorubicin in diffuse large B-cell lymphoma.

Sample Metadata Fields

Specimen part, Disease stage, Treatment

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accession-icon GSE31312
Development and application of a new immunophenotypic algorithm for molecular subtype classification of Diffuse Large B-Cell Lymphoma (DLBCL): Report from an International DLBCL Rituximab-CHOP Consortium Program Study
  • organism-icon Homo sapiens
  • sample-icon 491 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We studied 498 de-novo adult DLBCL cases, which had been diagnosed between January 2002 and October 2009, as part of the International DLBCL Rituximab-CHOP Consortium Program Study

Publication Title

Addition of rituximab to chemotherapy overcomes the negative prognostic impact of cyclin E expression in diffuse large B-cell lymphoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE86622
Expression data from diagnostic samples of diffuse large B-cell lymphomas (DLBCL), follicular lymphoma (FL) and primary and relapsed transformed FL
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Molecular classification of tissue from a transformed non-Hogkin's lymphoma case with unexpected long-time remission.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE86613
Expression data from diagnostic samples of diffuse large B-cell lymphomas (DLBCL), follicular lymphoma (FL) and primary and relapsed transformed FL [RNA]
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Comparison of gene expression profiles from diagnostic samples of diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) to a patient case withsamples of primary and relapsed transformed FL

Publication Title

Molecular classification of tissue from a transformed non-Hogkin's lymphoma case with unexpected long-time remission.

Sample Metadata Fields

Specimen part

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accession-icon GSE56315
Diffuse Large B-Cell Lymphoma Classification System That Associates Normal B-Cell Subset Phenotypes With Prognosis
  • organism-icon Homo sapiens
  • sample-icon 84 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below:

Publication Title

Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis.

Sample Metadata Fields

Specimen part

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accession-icon GSE56313
Diffuse Large B-Cell Lymphoma Classification System That Associates Normal B-Cell Subset Phenotypes With Prognosis
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose

Publication Title

Diffuse large B-cell lymphoma classification system that associates normal B-cell subset phenotypes with prognosis.

Sample Metadata Fields

Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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