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accession-icon GSE17920
Expression data of diagnostic biopsy samples from Hodgkin lymphoma patients
  • organism-icon Homo sapiens
  • sample-icon 130 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Despite advances in Hodgkin lymphoma (HL) treatment, about 20% of patients still die due to progressive disease. Current prognostic models predict treatment outcome with imperfect accuracy, and clinically relevant biomarkers are yet to be established that improve upon the International Prognostic Scoring (IPS) system. We analyzed 130 frozen diagnostic lymph node biopsies from classical HL patients by gene expression profiling to describe cellular signatures correlated with treatment outcome.

Publication Title

Tumor-associated macrophages and survival in classic Hodgkin's lymphoma.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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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 GSE29959
Human T-ALL cell line response to inhibition of Notch signaling
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of five Notch signaling-dependent human T-ALL cell lines (ALLSIL, DND41, HPBALL, KOPTK1, TALL-1) treated with gamma-secretase inhibitor (GSI) to block Notch signaling. Samples include parental cells, cells rescued by retroviral transduction with ICN (a GSI-independent form of activated Notch1), and cells retrovirally transduced with c-Myc (an important downstream target of Notch1). Results allow segregation of bona fide Notch targets from other genes affected by gamma-secretase inhibition as well as from targets downstream of c-Myc.

Publication Title

High-level IGF1R expression is required for leukemia-initiating cell activity in T-ALL and is supported by Notch signaling.

Sample Metadata Fields

Cell line

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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 GSE25990
Hodgkin lymphoma
  • organism-icon Homo sapiens
  • sample-icon 14 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

MHC class II transactivator CIITA is a recurrent gene fusion partner in lymphoid cancers.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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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 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 GSE25986
Gene expression profiling of cell lines derived from classical Hodgkin lymphoma
  • organism-icon Homo sapiens
  • sample-icon 10 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

MHC class II transactivator CIITA is a recurrent gene fusion partner in lymphoid cancers.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE67034
Common lymphoid progenitor-independent pathways of innate and T lymphocyte development
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

All lymphocytes are thought to develop from common lymphoid progenitors (CLPs). However, lymphoid-primed multi-potent progenitors (LMPPs) are more efficient than CLPs in differentiating into T cells and group 2 innate lymphoid cells (ILC2s). Here, we have divided LMPPs into CD127 (LMPP-s) and CD127+ (LMPP+s) subsets and compared them with Ly6D and Ly6D+ CLPs. Adult LMPP+s differentiated into T cells and ILCs more rapidly and efficiently than other progenitors in transplantation assays. The development of T cells and ILC2s is highly active in the neonatal period. Neonatal CLPs are rare and, unlike prominent neonatal LMPP+s, do not efficiently differentiate into T cells and ILC2s. ILC2s generated in the neonatal period are long-lived and persist in adult tissues. These results suggest that some ILCs and T cells may develop from LMPP+s via CLP-independent pathways.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE41758
The Lin28b-let-7-Hmga2 axis determines the higher self-renewal potential of fetal haematopoietic stem cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mouse haematopoietic stem cells (HSCs) undergo a post-natal transition in several properties, including a marked reduction in their self-renewal activity. We now show that the developmentally timed change in this key function of HSCs is associated with their decreased expression of Lin28b and an accompanying increase in their let-7 microRNA levels. Lentivirus(LV)-mediated overexpression of Lin28 in adult HSCs elevates their self-renewal activity in transplanted irradiated hosts, as does overexpression of Hmga2, a well-established let-7 target that is upregulated in fetal HSCs. Conversely, HSCs from fetal Hmga2-/- mice do not display the heightened self-renewal activity that is characteristic of wild-type fetal HSCs. Interestingly, overexpression of Hmga2 in adult HSCs does not mimic the ability of elevated Lin28 to activate a fetal lymphoid differentiation program. Thus Lin28b may act as a master regulator of developmentally timed changes in HSC programs with Hmga2 serving as its specific downstream modulator of HSC self-renewal potential.

Publication Title

The Lin28b-let-7-Hmga2 axis determines the higher self-renewal potential of fetal haematopoietic stem cells.

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)

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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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