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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 GSE54157
Expression changes induced by PTPN1 knockdown in KM-H2 cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression data for shRNA PTPN1 knockdown vs. Non-silencing in the classical Hodgkin lymphoma-derived cell line KM-H2

Publication Title

Recurrent somatic mutations of PTPN1 in primary mediastinal B cell lymphoma and Hodgkin lymphoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE52434
Transcriptional responses of mantle cell lymphoma (MCL) lines to IKKB inhibition
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MCL cell lines were treated with DMSO or 5uM AFN700 for 20hrs

Publication Title

Pharmacological and genomic profiling identifies NF-κB-targeted treatment strategies for mantle cell lymphoma.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE42549
Transcriptional responses of mantle cell lymphoma (MCL) lines to PKC inhibition
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MCL lines (biological replicates) were treated with DMSO or 2.5uM Sotrastaurin for 3hrs

Publication Title

Pharmacological and genomic profiling identifies NF-κB-targeted treatment strategies for mantle cell lymphoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE52435
Transcriptional responses of mantle cell lymphoma (MCL) after NIK knockdown
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MCL lines were treated with or without 100ng/ml doxycycline for 7 days

Publication Title

Pharmacological and genomic profiling identifies NF-κB-targeted treatment strategies for mantle cell lymphoma.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP159156
Differential gene expression analysis in BRD4-PROTAC treated diffuse large B-cell lymphoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We identified differential gene expression after treatment with BRD4-PROTAC ARV771 in two ABC-like diffuse large B-cella lymphoma cell lines. We have identified cluster of gene expression regulated after BRD4 inhibition which are criticaly important for DLBCL malignancy. Overall design: Two ABC-DLBCL cell lines were used to identify the changes in gene expression profile after BRD4-PROTAC (ARV771) treatment.

Publication Title

Targetable genetic alterations of <i>TCF4</i> (<i>E2-2</i>) drive immunoglobulin expression in diffuse large B cell lymphoma.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE57999
Expression data from baseline and post-endurance training in human PBMCs
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

There is an association between transcriptome and the exercise-related phenotype. Peripheral blood cells suffer alterations in the gene expression pattern in response to perturbations caused by exercise. The acute response to endurance activates stress and inflammation, as well as growth and tissue repair responses.

Publication Title

PBMCs express a transcriptome signature predictor of oxygen uptake responsiveness to endurance exercise training in men.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Treatment, Subject, Time

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accession-icon GSE44734
Expression data from neurotrophin transgenic mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A limited number of growth factors are capable of regulating numerous developmental processes, but how they accomplish this is unclear. In the gustatory system, brain-derived neurotrophic factor (BDNF) and neurotrophin-4 (NT4) have different developmental roles but exert their effects through the same receptors (TrkB and p75).

Publication Title

BDNF and NT4 play interchangeable roles in gustatory development.

Sample Metadata Fields

Specimen part

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accession-icon SRP150181
Comparative gene expression analysis in the Arabidopsis thaliana root apex using RNA-seq and microarray transcriptome profiles [RNA-seq]
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The root apex is an important section of the plant root, involved in environmental sensing and cellular development. Analyzing the gene profile of root apex in diverse environments is important and challenging, especially when the samples are limiting and precious, such as in spaceflight. The feasibility of using tiny root sections for transcriptome analysis was examined in this study.To understand the gene expression profiles of the root apex, Arabidopsis thaliana Col-0 roots were sectioned into Zone-I (0.5 mm, root cap and meristematic zone) and Zone-II (1.5 mm, transition, elongation and growth terminating zone). Gene expression was analyzed using microarray and RNA seq.Both the techniques, arrays and RNA-Seq identified 4180 common genes as differentially expressed (with > two-fold changes) between the zones. In addition, 771 unique genes and 19 novel TARs were identified by RNA-Seq as differentially expressed which were not detected in the arrays. Single root tip zones can be used for full transcriptome analysis; further, the root apex zones are functionally very distinct from each other. RNA-Seq provided novel information about the transcripts compared to the arrays. These data will help optimize transcriptome techniques for dealing with small, rare samples. Overall design: Arabidopsis thaliana var. Columbia (COL-0) seedlings were grown on sterile solid media plates containing 0.5 % phytagel. The plates were vertically placed in growth chambers with continuous light (80-100 µmol m -2) at a constant temperature of 19° C. Eight day old seedlings were harvested into RNA-later solution in a 50 mL centrifuge tubes and stored at -20 °C freezer. The root tips were dissected into zone-I: 0.5mm from the tip including the root cap and root division zones, and zone-II: 1.5mm sections including root elongation and root hair zone. Microarray and sequencing experiments were performed.

Publication Title

Comparing RNA-Seq and microarray gene expression data in two zones of the <i>Arabidopsis</i> root apex relevant to spaceflight.

Sample Metadata Fields

Age, Specimen part, Subject

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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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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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