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accession-icon SRP059057
Transcriptome analysis of CD4+ T cells reveals imprint of BACH2 and IFN? regulation
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We used RNA sequencing to profile over 70 transcriptomes of CD4+ T cells, a cell type crucial for Coeliac Disease CD pathogenesis, in both stimulated and resting samples from individuals with CD and unaffected controls The data gave us the opportunity to (i) compare gene expression between cases and controls; (ii) specifically assess whether genes that have been genetically associated with the disease were being DE; (iii) and also look for known and novel aspects of pathogenesis in the transcriptome of this specific cellular compartment. Overall design: RNA sequencing was performed on mRNA extracted from the CD4+ T cells of 15 Coeliac patients and 11 Controls that had been stimulated with anti-CD3/anti-CD28, PMA and left unstimulated. In total we sequenced 74 transcriptome samples using 50bp reads on an Illumina HiSeqâ„¢ 2000.

Publication Title

Transcriptome Analysis of CD4+ T Cells in Coeliac Disease Reveals Imprint of BACH2 and IFNγ Regulation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE109284
LXR nuclear receptors are transcriptional regulators of dendritic cell chemotaxis
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The liver X receptors (LXRs) are ligand-activated nuclear receptors with established roles in the maintenance of lipid homeostasis in multiple tissues. LXRs exert additional biological functions as negative regulators of inflammation, particularly in macrophages. However, the transcriptional responses controlled by LXRs in other myeloid cells, such as dendritic cells (DC), are still poorly understood. Here we used gain- and loss-of-function models to characterize the impact of LXR deficiency on DC activation programs. Our results identified an LXR-dependent pathway that is important for DC chemotaxis. LXR-deficient mature DCs are defective in stimulus-induced migration in vitro and in vivo. Mechanistically, we show that LXRs facilitate DC chemotactic signaling by regulating the expression of CD38, an ectoenzyme important for leukocyte trafficking. Pharmacological or genetic inactivation of CD38 activity abolished LXR-dependent induction of DC chemotaxis. Using the LDLR-/- mouse model of atherosclerosis, we also demonstrated that hematopoietic CD38 expression is important for the accumulation of lipid-laden myeloid cells in lesions, suggesting that CD38 is a key factor in leukocyte migration during atherogenesis. Collectively, our results demonstrate that LXRs are required for efficient emigration of DCs in response to chemotactic signals during inflammation.

Publication Title

LXR nuclear receptors are transcriptional regulators of dendritic cell chemotaxis.

Sample Metadata Fields

Specimen part

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accession-icon GSE109277
Gene expression profile of in vitro differentiated mouse bone marrow-derived dendritic cells.
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mouse BMDCs were differentiated from bone marrow by GM-CSF and IL-4 for 9 days.

Publication Title

LXR nuclear receptors are transcriptional regulators of dendritic cell chemotaxis.

Sample Metadata Fields

Specimen part

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accession-icon SRP151120
RNA-seq profiling of patient-derived xenograft models in Urothelial Cancer
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To probe the tissue source (cancer cell VS stromal cell) of gene expression in the mixed tumor samples, we took advantage of a set of Urothelial Cancer patient-derived xenograft (PDX) models given that the transcriptome in these models is a mixture of human RNA (derived from cancer cells) and mouse RNA (derived from stromal cells). Overall design: The cohort includes 5 different patient-derived PDX models, 3 replicates for each model, and thus a total of 15 samples

Publication Title

EMT- and stroma-related gene expression and resistance to PD-1 blockade in urothelial cancer.

Sample Metadata Fields

Subject

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accession-icon GSE5716
Gene expression analysis of T-ALL cell lines treated with gamma-secretase inhibitor
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gain-of-function mutations in NOTCH1 are common in T-cell lymphoblastic leukemias making this receptor a promising target for drugs such as gamma-secretase inhibitors (GSI), which block a proteolytic cleavage required for NOTCH1 activation. However, the enthusiasm for these therapies has been tempered by tumor resistance and the paucity of information on the oncogenic programs regulated by oncogenic NOTCH1. Analysis of gene expression in GSI-responsive and GSI-resistant cell lines treated with Compound E identifies differential resopnses to GSI.

Publication Title

Mutational loss of PTEN induces resistance to NOTCH1 inhibition in T-cell leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5682
Gene expression analysis of gamma-secretase inhibitor-sensitive and -resistant T-ALL cell lines
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gain-of-function mutations in NOTCH1 are common in T-cell lymphoblastic leukemias making this receptor a promising target for drugs such as gamma-secretase inhibitors, which block a proteolytic cleavage required for NOTCH1 activation. However, the enthusiasm for these therapies has been tempered by tumor resistance and the paucity of information on the oncogenic programs regulated by oncogenic NOTCH1. Here we show that NOTCH1 regulates PTEN expression and the activity of the PI3K-AKT signaling pathway in normal and leukemic T cells. Notch signaling and the PI3K-AKT pathway synergize in vivo in a Drosophila model of Notch-induced tumorigenesis, and mutational loss of PTEN is associated with increased glycolysis and resistance to NOTCH1 inhibition in human T-ALL. These findings identify the transcriptional regulation of PTEN and the control of cellular metabolism as key elements of the oncogenic program activated by NOTCH1 and provide the basis for the design of new therapeutic strategies for T-ALL.

Publication Title

Mutational loss of PTEN induces resistance to NOTCH1 inhibition in T-cell leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE47108
Gene expression profiling in true interval breast cancer reveals overactivation of mTOR signalling pathway
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background: Interval breast cancers can occur through failure to detect an abnormality at the time of screening (missed interval cancer), or as a new event after a negative screen (true interval cancer). The development and progression of true interval tumors (TIBC) is known to be different than screen-detected tumors (SDBC). However, much work still needs to be done to understand the biological characteristics and clinical behaviour of these TIBC. Objectives: To characterize the gene expression profile in TIBC and SDBC aimed to identify biological markers that may be associated with the emergence of symptomatic breast cancer in the screening interval. Material and Methods: An unsupervised exploratory gene expression profile analysis was performed among 10 samples (discovery set, TIBC=5 and SDBC=5) using Affymetrix Human Gene 1.0 ST arrays and interpreted by Ingenuity Pathway Analysis. Differential expression of selected genes was confirmed in validation series of 91 patients (TIBC=12 and SDBC=79) by immunohistochemistry and 24 patients (TIBC=8 and SDBC=16) by RT-qPCR, expanding the analysis to other genes in same pathway (mTOR, 4E-BP1, eIF-4G and S6).

Publication Title

Gene expression profiling in true interval breast cancer reveals overactivation of the mTOR signaling pathway.

Sample Metadata Fields

Specimen part

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accession-icon GSE36135
Expression data from prostate cancer Docetaxel-resistant cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Docetaxel is the standard first line therapy for hormone-refractory prostate cancer patients. Here we generated models of Docetaxel resistance in prostate cancer cells to study the molecular pathways that drive the acquisition of resistance to this therapy. We used microarrays to detail the global program of gene expression underlying the acquisition of Docetaxel resistance in prostate cancer cells.

Publication Title

Suppression of acquired docetaxel resistance in prostate cancer through depletion of notch- and hedgehog-dependent tumor-initiating cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE34885
Defective NK cells in AML patients at diagnosis are associated with blast transcriptional signatures of immune evasion
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute myeloid leukemia (AML) is a heterogeneous group of malignancies which may be sensitive to the natural killer (NK) cell anti-tumor response. However, NK cells are frequently defective in AML. Here, we found in an exploratory cohort (n = 46) that NK-cell status at diagnosis of AML separated patients in two groups with a different clinical outcome. Patients with a deficient NK-cell profile, including reduced expression of some activating NK receptors (e.g. DNAM-1, NKp46 and NKG2D) and decreased IFN-g production, had a significantly higher risk of relapse (P = 0.03) independently of cytogenetic classification in multivariate analysis. Patients with defective NK cells showed a profound gene expression decrease in AML blasts for cytokine and chemokine signaling (e.g. IL15, IFNGR1, IFNGR2, CXCR4), antigen processing (e.g. HLA-DRA, HLA-DRB1, CD74) and adhesion molecule pathways (e.g. PVR, ICAM1). A set of 388 leukemic classifier genes defined in the exploratory cohort was independently validated in a multicentric cohort of 194 AML patients. In total, these data evidenced the interplay between NK-cells and AML blasts at diagnosis allowing an immune-based stratification of AML patients independently of clinical classifications.

Publication Title

Defective NK Cells in Acute Myeloid Leukemia Patients at Diagnosis Are Associated with Blast Transcriptional Signatures of Immune Evasion.

Sample Metadata Fields

Disease, Subject

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accession-icon GSE50928
Defective NK cells in AML patients at diagnosis are associated with blast transcriptional signatures of immune evasion
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute myeloid leukemia (AML) is a heterogeneous group of malignancies which may be sensitive to the natural killer (NK) cell anti-tumor response. However, NK cells are frequently defective in AML. Here, we found in an exploratory cohort (n = 46) that NK-cell status at diagnosis of AML separated patients in two groups with a different clinical outcome. Patients with a deficient NK-cell profile, including reduced expression of some activating NK receptors (e.g. DNAM-1, NKp46 and NKG2D) and decreased IFN-g production, had a significantly higher risk of relapse (P = 0.03) independently of cytogenetic classification in multivariate analysis. Patients with defective NK cells showed a profound gene expression decrease in AML blasts for cytokine and chemokine signaling (e.g. IL15, IFNGR1, IFNGR2, CXCR4), antigen processing (e.g. HLA-DRA, HLA-DRB1, CD74) and adhesion molecule pathways (e.g. PVR, ICAM1). A set of 388 leukemic classifier genes defined in the exploratory cohort was independently validated in a multicentric cohort of 194 AML patients. In total, these data evidenced the interplay between NK-cells and AML blasts at diagnosis allowing an immune-based stratification of AML patients independently of clinical classifications.

Publication Title

Defective NK Cells in Acute Myeloid Leukemia Patients at Diagnosis Are Associated with Blast Transcriptional Signatures of Immune Evasion.

Sample Metadata Fields

Age, Disease, Disease stage

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)

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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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