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accession-icon SRP078862
Next-generation sequencing and quantitative analysis of wild type and p110gamma -/- tumors and tumor-associated macrophages
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: The goals of this study were to identify quantitative gene expression differences between whole tumor and tumor-associated macrophages (TAMs) derived from Lewis lung carcinoma (LLC) tumors grown in wild type and PI3Kinase-gamma-null mice. Methods: mRNA profiles of whole tumor or tumor-associated macrophages (CD11b+Gr1- cells) from wild type (WT) or PI3Kinase-gamma-knockout (p110g-/-) mice were generated by single deep read sequencing, in triplicate or quadruplicate, using Illumina HiSeq 2000. The sequence reads that passed quality filters were aligned to mouse transcriptome using the bowtie2 aligner. Gene-level summaries were normalized and analyzed for differential expression using DESeq. Overall design: mRNA profiles of whole tumor and tumor-associated macrophages from WT and p110g-/- mice were generated by deep sequencing in triplicate or quadruplicate using Illumina HiSeq 2000.

Publication Title

PI3Kγ is a molecular switch that controls immune suppression.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon SRP043038
Next Generation Sequencing and Quantitative Analysis of Wild Type and p110gamma-/- macrophages
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: The goals of this study were to identify quantitative gene expression differences between macrophages derived from wild type and PI3Kgamma null macrophages Methods: mRNA profiles of MCSF, IL4 and IFNg/LPS stimulated macrophage wild-type (WT) and PI3Kinase gamma knockout (p110g-/-) mice were generated by single read deep sequencing, in triplicate, using Illumina HiSeq2000. The sequence reads that passed quality filters were aligned to mouse transcriptome using the bowtie2 aligner. Gene-level summaries were normalized and analyzed for differential expression using DESeq. qRT–PCR validation was performed using SYBR Green assays. Conclusions: Our study represents the first detailed analysis of the role of p110g in the control of the macrophage immune response, with biological replicates, generated by RNA-seq technology. Overall design: mRNA profiles of wild type (WT) and p110g-/- macrophages were generated by deep sequencing, in triplicate, using Illumina HiSeq2000.

Publication Title

PI3Kγ is a molecular switch that controls immune suppression.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34234
Microarrays analysis of anti-Enterovirus 71 activity of Heparin
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We have previously shown that Heparin (Hep) significantly inhibited Enterovirus 71 (EV71) infection and binding in both Vero and a human neural cell line, SK-N-SH, in vitro. Therefore, in this study we intended to gain insight into the cellular and molecular mechanisms of action of Hep against clinical EV71 infection in neural cells. Instead of stating a long list of gene functions and pathways, we tried to select for EV71-induced genes that were exclusively affected by antiviral activity of Hep through a multi-level comparison and characterization.

Publication Title

Global impact of heparin on gene expression profiles in neural cells infected by enterovirus 71.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP144499
Gene expression analysis of prostate cancer cells treated with fatty acid synthase (FASN) inhibitor IPI-9119
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Alterations in gene expression following fatty acid synthase inhibtion were evaluated in androgen sensitive LNCaP cells and castration resistant 22Rv1 and LNCaP-95 cells. Cell were exposed to 2 concentrations (0.1 and 0.5 uM) of FASN inhibitor IPI-9119 or DMSO for 6 days. Overall design: Differential gene expression anlaysis in 3 prostate cancer cell lines treated with FASN inhibitor IPI-9119

Publication Title

Inhibition of de novo lipogenesis targets androgen receptor signaling in castration-resistant prostate cancer.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE12868
ChIP-on-chip significance analysis reveals large-scale binding and regulation by human transcription factor oncogenes
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

ChIP-on-chip has emerged as a powerful tool to dissect the complex network of regulatory interactions between transcription factors and their targets. However, most ChIP-on-chip analysis methods use conservative approaches aimed to minimize false-positive transcription factor targets. We present a model with improved sensitivity in detecting binding events from ChIP-on-chip data. Its application to human T-cells, followed by extensive biochemical validation, reveals that three transcription factor oncogenes, NOTCH1, MYC, and HES1, bind to several thousands target gene promoters, up to an order of magnitude increase over conventional analysis methods. Gene expression profiling upon NOTCH1 inhibition shows broad-scale functional regulation across the entire range of predicted target genes, establishing a closer link between occupancy and regulation. Finally, the increased sensitivity reveals a combinatorial regulatory program in which MYC co-binds to virtually all NOTCH1-bound promoters. Overall, these results suggest an unappreciated complexity of transcriptional regulatory networks and highlight the fundamental importance of genome-scale analysis to represent transcriptional programs.

Publication Title

ChIP-on-chip significance analysis reveals large-scale binding and regulation by human transcription factor oncogenes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13911
Expression data from primary gastric tumors (MSI and MSS) and adjacent normal samples
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gastric cancers with mismatch repair (MMR) inactivation are characterised by microsatellite instability (MSI). In this study, the transcriptional profile of 38 gastric cancers with and without MSI was analysed.

Publication Title

Genome-wide expression profile of sporadic gastric cancers with microsatellite instability.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE52892
SOX11-positive and SOX11-knockdown xenograft derived tumor Gene Expression Profilings
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The neural transcription factor SOX11 is overexpressed in aggressive lymphoid neoplasms mainly in mantle cell lymphoma (MCL). We have recently demonstrated SOX11 tumorigenic potential in vivo by showing a significant reduction on tumor growth of SOX11-knockdown MCL cells in xenograft experiments, confirming the clinical observations that SOX11 may play an important role in the aggressive behavior of MCL (Vegliante et al., 2013). However, the specific mechanisms regulated by SOX11 that promote the oncogenic and rapid tumor growth of aggressive MCL still remain to be elucidated. To further characterize the potential oncogenic mechanisms regulated by SOX11 in MCL, we have analyzed the GEP derived from the xenograft SOX11-positive and knockdown xenograft derived tumors.

Publication Title

SOX11 promotes tumor angiogenesis through transcriptional regulation of PDGFA in mantle cell lymphoma.

Sample Metadata Fields

Specimen part

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accession-icon SRP077667
Mouse model of RHOA G17V mutation in Peripheral T-Cell Lymphoma
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Angioimmunoblastic T-cell lymphoma (AITL) is an aggressive lymphoid tumor derived from malignant transformation of T follicular helper (Tfh) cells. Genetically, AITL is characterized by loss of function mutations in the Ten-Eleven Translocation 2 (TET2) epigenetic tumor suppressor and a highly recurrent mutation (p.Gly17Val, G17V) in the RHOA small GTPase gene Moreover, RHOA G17V expression in Tet2 deficient hematopoietic progenitors resulted in the specific development of lymphoid tumors resembling human AITL. Notably, inhibition of ICOS signaling impaired the growth of RHOA G17V-induced mouse lymphomas in vivo, thus providing a potential new rational approach for the treatment of AITL. Overall design: We analyzed mRNA expression profiles of primary tumor cells expressing Rhoa G17V or Rhoa wild type.

Publication Title

RHOA G17V Induces T Follicular Helper Cell Specification and Promotes Lymphomagenesis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE11184
Gamma-secretase inhibitors reverse glucocorticoid resistance in T-ALL
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Gamma-secretase inhibitors (GSIs), which block the activation of NOTCH receptors, are being tested in the treatment of T-cell acute lymphoblastic leukemia (T-ALL). Thus far, limited antileukemic cytotoxicity and severe gastrointestinal toxicity have restricted the clinical application of these targeted drugs. Here we show that combination therapy with GSIs plus glucocorticoids can improve the antileukemic effects of GSIs and reduce their gut toxicity in vivo. Inhibition of NOTCH1 signaling in glucocorticoid-resistant T-ALL restored glucocorticoid receptor auto-up-regulation and induced apoptotic cell death through induction of BIM expression. Additionally, cotreatment with glucocorticoids induced Ccnd2 upregulation in the gut which protected mice from the intestinal secretory metaplasia typically induced by loss of NOTCH signaling. These results support a role for glucocorticoids plus GSIs in the treatment of glucocorticoid-resistant T-ALL.

Publication Title

Gamma-secretase inhibitors reverse glucocorticoid resistance in T cell acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE7067
Synergistic interaction of gamma-secretase inhibitor therapy and glucocorticoids in T-ALL
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Glucocorticoids are an essential component of the treatment of lymphoid malignancies and resistance to glucocorticoid therapy constitutes a prominent clinical problem in relapsed and refractory lymphoblastic leukemias. Constitutively active NOTCH signaling is involved in the pathogenesis of over 50% of T-cell lymphoblastic leukemia (T-ALL) which harbor activating mutations in the NOTCH1 gene. Aberrant NOTCH1 signaling has been shown to protect normal thymocytes from glucocorticoid induced cell death. Here we analyzed the interaction of glucocorticoid therapy with inhibition of NOTCH signaling in the treatment of T-ALL. Gamma-secretase inhibitors (GSI), which block the activation of NOTCH receptors, amplified the transcriptional changes induced by glucocorticoid treatment, including glucocorticoid receptor autoinduction and restored sensitivity to dexamethasone in glucocorticoid-resistant T-ALL cells. Apoptosis induction upon inhibition of NOTCH signaling and activation of the glucocorticoid receptor was dependent on transcriptional upregulation of BIM and subsequent activation of the mitochondrial/intrinsic cell death pathway. Finally, we used a mouse xenograft model of T-ALL to demonstrate that combined treatment with dexamethasone and a GSI results in improved antileukemic effects in vivo. These studies provide insight in the mechanisms of glucocorticoid resistance and serve as rationale for the use of glucocorticoid and GSIs in combination in the treatment of T-ALL.

Publication Title

Gamma-secretase inhibitors reverse glucocorticoid resistance in T cell acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

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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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