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accession-icon GSE12006
Oxygen downshift experiment with E.coli W3110
  • organism-icon Escherichia coli
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Dynamical response to oxygen downshift under fermentation conditions was tested by taking sample before (S1) and after (S2, S3 and S4) the oxygen downshift. The dynamical changes relevant for ongoing research on physiology were applied.

Publication Title

Norvaline is accumulated after a down-shift of oxygen in Escherichia coli W3110.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP125960
Transcriptome analysis of SKI knock-out in HL60 cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Whole transcriptome for SKI knock-out and control HL60 cells was sequenced. SKI control and knockout samples were compared to find differentially expressed genes. Differentially expressed genes were further analysed to find the significance of SKI in HL60 cells. Overall design: Examining of SKI dependent transcriptome in HL60 cells using RNAseq.

Publication Title

Combined cistrome and transcriptome analysis of SKI in AML cells identifies SKI as a co-repressor for RUNX1.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon E-TABM-585
Transcription profiling by array of human lung cancer cells after treatment with dasatinib, imatinib, nilotinib or PD0325901
  • organism-icon Homo sapiens
  • sample-icon 111 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Cell Line: This experiment was designed to measure the transcriptional responses to four kinase inhibitors across a five-logarithm dose range. The A549 human lung cancer cell line was treated with dasatinib, imatinib or nilotinib (4 hours and 20 hours) or PD0325901 (4 hours). Treatments used a 12-point dose range (30 uM with 3-fold dilutions down to 0.17 nM; 0.5% DMSO vehicle for all treatments). Experimental design prevented row or column handling effects being confounded with dose effect.

Publication Title

Transcriptional profiling of the dose response: a more powerful approach for characterizing drug activities.

Sample Metadata Fields

Disease, Cell line, Compound, Time

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accession-icon GSE3893
Gene Expression Profiling of matched Ductal Carcinomas in Situ and Invasive Breast Tumors
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This is a matched-pair analysis of ductal carcinoma in situ (DCIS) and invasive component (IDC) of nine breast ductal carcinoma to identify novel molecular markers characterizing the transition from DCIS to IDC for a better understanding of its molecular biology.

Publication Title

Progression-specific genes identified by expression profiling of matched ductal carcinomas in situ and invasive breast tumors, combining laser capture microdissection and oligonucleotide microarray analysis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE16780
Hybrid Mouse diversity Panel Liver Expression Profile
  • organism-icon Mus musculus
  • sample-icon 288 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a)

Description

Novel, systems-based approach to mouse genetics.

Publication Title

A high-resolution association mapping panel for the dissection of complex traits in mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE61804
Role of NFATc1 in patients with FLT3-ITD AML
  • organism-icon Homo sapiens
  • sample-icon 321 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Diagnostic samples of peripheral blood form acute myeloid leukemia were analysed for gene expression differences

Publication Title

NFATc1 as a therapeutic target in FLT3-ITD-positive AML.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE8835
Chronic lymphocytic leukemia cells induce changes in gene expression of CD4 and CD8 T cells.
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To examine the impact of tumors on the immune system, we compared global gene expression profiles of peripheral blood T cells from previously untreated patients with B cell chronic lymphocytic leukemia (CLL) with those from age-matched healthy donors. Although the cells analyzed were not part of the malignant clone, analysis revealed differentially expressed genes, mainly involved in cell differentiation in CD4 cells and defects in cytoskeleton formation, vesicle trafficking, and cytotoxicity in CD8 cells of the CLL patients. In coculture experiments using CLL cells and T cells from healthy allogeneic donors, similar defects developed in both CD4 and CD8 cells. These changes were induced only with direct contact and were not cytokine mediated. Identification of the specific pathways perturbed in the T cells of cancer-bearing patients will allow us to assess steps to repair these defects, which will likely be required to enhance antitumor immunity.

Publication Title

Chronic lymphocytic leukemia cells induce changes in gene expression of CD4 and CD8 T cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE28896
Dexamethasone and lenalidomide have distinct functional effects on erythropoiesis
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

We explored the effects of dexamethasone and lenalidomide, individually and in combination, on the differentiation of primary human bone marrow progenitor cells in vitro. Both agents promote erythropoiesis, increasing the absolute number of erythroid cells produced from normal CD34+ cells and from CD34+ cells with the types of ribosome dysfunction found in DBA and del(5q) MDS. However, the drugs had distinct effects on the production of erythroid progenitor colonies; dexamethasone selectively increased the number burst-forming units-erythroid (BFU-E), while lenalidomide specifically increased colony-forming units-erythroid (CFU-E). Use of the drugs in combination demonstrates that their effects are not redundant.

Publication Title

Dexamethasone and lenalidomide have distinct functional effects on erythropoiesis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE42547
Annexin A2 Modulates Radiation-Sensitive Transcriptional Programming and Cell Fate
  • organism-icon Mus musculus
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Whole genome expression profiling in the presence and absence of annexin A2 [shRNA] identified fundamentally altered transcriptional programming that changes the radioresponsive transcriptome.

Publication Title

Annexin A2 modulates radiation-sensitive transcriptional programming and cell fate.

Sample Metadata Fields

Treatment, Time

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accession-icon GSE27928
Characterization of gene expression of tumor infiltrating T cells (TILs) in previously untreated patients with follicular lymphoma (FL) compared with those of tonsils
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It has been shown that tumor infiltrating immune cells have a profound impact on the outcome of FL. To find mechanisms whereby TILs are altered gene expession analysis of highly pure TILs were performed.

Publication Title

Follicular lymphoma cells induce changes in T-cell gene expression and function: potential impact on survival and risk of transformation.

Sample Metadata Fields

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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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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