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accession-icon GSE19246
A novel method of amplification of FFPET derived-RNA enables accurate disease classification with microarrays
  • organism-icon Homo sapiens
  • sample-icon 171 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A new method for amplification and labeling of RNA is assessed that permits gene expression microarray analysis of formalin-fixed paraffin embedded tissue (i.e. FFPET) samples.

Publication Title

A novel method of amplification of FFPET-derived RNA enables accurate disease classification with microarrays.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE23501
DNA methylation signatures define molecular subtypes of Diffuse Large B Cell Lymphoma
  • organism-icon Homo sapiens
  • sample-icon 67 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We performed DNA methylation (HELP array) and gene expression profiling in 69 samples of diffuse large B cell lymphoma (DLBCL). First, by gene expression, two molecular subtypes of DLBCL termed as "germinal center B cell-like" (GCB) and "activated B cell-like" (ABC) DLBCL were assigned to the 69 DLBCL cases. Then, the supervised analysis using HELP data revealed strikingly different DNA promoter methylation patterns in the two molecular DLBCL subtypes. These data provide epigenetic evidence that the DLBCL subtypes are distinct diseases that utilize different oncogenic pathways.

Publication Title

DNA methylation signatures define molecular subtypes of diffuse large B-cell lymphoma.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE42495
Macrophages in T cell/histiocyte rich B cell lymphoma strongly express metal-binding proteins and show a bi-activated phenotype
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In a supervised principal component analysis, histiocytes from TCHRBCL were most closely related to epithelioid cells from NLPHL, with both types of cells expressing genes related to proinflammatory and regulatory macrophage activity.

Publication Title

Macrophages in T cell/histiocyte rich large B cell lymphoma strongly express metal-binding proteins and show a bi-activated phenotype.

Sample Metadata Fields

Specimen part

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accession-icon GSE47044
Nodular lymphocyte predominant hodgkin lymphoma and T cell/histiocyte rich large B cell lymphoma - endpoints of a spectrum of one disease?
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Tumor cells were microdissected from frozen sections of NLPHL and THRLBCL. RNA was amplified using the NUGEN WT-Ovation-One-direct-Kit. Samples were compared to tonsilar germinal center CD77 B cells.

Publication Title

Nodular lymphocyte predominant hodgkin lymphoma and T cell/histiocyte rich large B cell lymphoma--endpoints of a spectrum of one disease?

Sample Metadata Fields

Specimen part

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accession-icon GSE39133
Gene expression profiling of microdissected HRS cells
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hodgkin lymphoma is derived from germinal center / post-germinal center B cells.

Publication Title

Gene expression profiling of microdissected Hodgkin Reed-Sternberg cells correlates with treatment outcome in classical Hodgkin lymphoma.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE39134
Gene expression profiling of microdissected HRS cells is correlated with primary treatment outcome
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hodgkin lymphoma is derived from germinal center / post-germinal center B cells.

Publication Title

Gene expression profiling of microdissected Hodgkin Reed-Sternberg cells correlates with treatment outcome in classical Hodgkin lymphoma.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE39132
Gene expression profiling of Hodgkin lymphoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hodgkin lymphoma is derived from germinal center / post-germinal center B cells.

Publication Title

Gene expression profiling of microdissected Hodgkin Reed-Sternberg cells correlates with treatment outcome in classical Hodgkin lymphoma.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE84072
Expression data from CD8+TIM-3+ and CD8+TIM-3- T cells sorted from follicular lymphoma lymph nodes
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Exhaustion markers are expressed by T lymphocytes in Follicular Lymphoma (FL). Through these, TIM-3 has been recently identified as a poor pronostic factor when expressed by FL CD4+ T cells.

Publication Title

Impaired functional responses in follicular lymphoma CD8<sup>+</sup>TIM-3<sup>+</sup> T lymphocytes following TCR engagement.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE34602
Expression data from 3 gamma-secretase or mock-treated mantle cell lymphoma (MCL) cell lines
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We identified recurrent NOTCH1 mutations in 12% of MCLs. 2 out of 10 tested MCL cell lines (Rec-1 and SP-49) were sensitive to inhibition of the NOTCH pathway by gamma-secretase inhibition.

Publication Title

Whole transcriptome sequencing reveals recurrent NOTCH1 mutations in mantle cell lymphoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE21452
Integrated genomic profiling in mantle cell lymphoma
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The genome of mantle cell lymphoma (MCL) is, in addition to the translocation t(11;14), characterized by a high number of secondary chromosomal gains and losses that likely account for the varying survival times of MCL patients. We investigated 77 primary MCL tumors with available clinical information using high resolution RNA expression and genomic profiling and applied our recently developed gene expression and dosage integrator (GEDI) algorithm to identify novel genes and pathways that may be of relevance for the pathobiology of MCL. We show that copy number neutral loss of heterozygosity (CNN-LOH) is common in MCL and targets regions that are frequently affected by deletions. The molecular consequences of genomic copy number changes appear complex, even in genomic loci with identified tumor suppressors, such as the region 9p21 containing the CDKN2A locus. Moreover, the deregulation of novel genes such as CUL4A, ING1 and MCPH1 may affect the two crucial pathogenetic mechanisms in MCL, the disturbance of the proliferation and DNA damage response pathways. Deregulation of the Hippo pathway may have a pathogenetic role in MCL, since decreased expression of its members MOBKL2A, MOBKL2B and LATS2 was associated with inferior outcome also in an independent validation series of 32 MCL.

Publication Title

Pathway discovery in mantle cell lymphoma by integrated analysis of high-resolution gene expression and copy number profiling.

Sample Metadata Fields

Disease, Disease stage, Subject

View Samples
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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

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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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