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accession-icon GSE109593
BRD4 profiling identifies critical Chronic Lymphocytic Leukemia oncogenic circuits and reveals sensitivity to PLX51107, a novel structurally distinct BET inhibitor
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

BRD4 Profiling Identifies Critical Chronic Lymphocytic Leukemia Oncogenic Circuits and Reveals Sensitivity to PLX51107, a Novel Structurally Distinct BET Inhibitor.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE109587
BRD4 profiling identifies critical Chronic Lymphocytic Leukemia oncogenic circuits and reveals sensitivity to PLX51107, a novel structurally distinct BET inhibitor [expression profiling]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Bromodomain and extra-terminal (BET) family proteins are key regulators of gene expression in cancer. Herein, we utilize BRD4 profiling to identify critical pathways involved in pathogenesis of chronic lymphocytic leukemia (CLL). BRD4 is over-expressed in CLL and is enriched proximal to genes up-regulated or de novo expressed in CLL with known function in disease pathogenesis and progression. These genes, including key members of the BCR signaling pathway, provide rationale for this therapeutic approach to identify new targets in alternative types of cancer. Additionally, we describe PLX51107, a structurally distinct BET inhibitor with novel in vitro and in vivo pharmacologic properties that emulates or exceeds the efficacy of BCR signaling agents in pre-clinical models of CLL. Herein, the discovery of the involvement of BRD4 in the core CLL transcriptional program provides a compelling rationale for clinical investigation of PLX51107 as epigenetic therapy in CLL and application of BRD4 profiling in other cancers.

Publication Title

BRD4 Profiling Identifies Critical Chronic Lymphocytic Leukemia Oncogenic Circuits and Reveals Sensitivity to PLX51107, a Novel Structurally Distinct BET Inhibitor.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE53798
Expression data from malignant human B-cell cell lines
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used global gene expression profiles from human B-cell cell lines to generate gene expression signatures for prediction of response to the drugs cyclophosphamide, doxorubicin or vincristine. The signatures were validated in two publicly available clinical cohorts.

Publication Title

Predicting response to multidrug regimens in cancer patients using cell line experiments and regularised regression models.

Sample Metadata Fields

Disease, Cell line

View Samples
accession-icon GSE62834
Expression data from E15.5 mouse embryos
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The pancreatic beta cells are the only cells that can produce insulin in response to prevailing glycemia. The development of beta cells was found to be depending on the activity of a complex genetic network. Overexpression of transcriptional factor MafK in beta cells have resulted in impairment of thier functions and suppressed insulin secretion and increased the severity of beta cell loss resulting in an overt diabetes.

Publication Title

β-Cell-Specific Mafk Overexpression Impairs Pancreatic Endocrine Cell Development.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE86622
Expression data from diagnostic samples of diffuse large B-cell lymphomas (DLBCL), follicular lymphoma (FL) and primary and relapsed transformed FL
  • organism-icon Homo sapiens
  • sample-icon 43 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

Molecular classification of tissue from a transformed non-Hogkin's lymphoma case with unexpected long-time remission.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE86613
Expression data from diagnostic samples of diffuse large B-cell lymphomas (DLBCL), follicular lymphoma (FL) and primary and relapsed transformed FL [RNA]
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Comparison of gene expression profiles from diagnostic samples of diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) to a patient case withsamples of primary and relapsed transformed FL

Publication Title

Molecular classification of tissue from a transformed non-Hogkin's lymphoma case with unexpected long-time remission.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE30292
Establishment of objective criteria for selecting relevant intestinal cell-based models
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The objective of this study was to make use of gene expression signatures and functional assays to delineate differences between various intestinal colon carcinoma cell lines and normal intestinal epithelium to assess their appropriateness as a tumor model or for drug absorption studies.

Publication Title

Defining new criteria for selection of cell-based intestinal models using publicly available databases.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP062278
Human macrophage-Leishmania infectome
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

The goal of this study is to simultaneously interrogate host and parasite gene expression programs in human macrophages infected with the intracellular parasites from the genus Leishmania. We conducted high-resolution sequencing of the transcriptomes of human macrophages infected with Leishmania spp. using an RNA-seq approach. An array of computational tools was applied to map reads to the Leishmania and human genomes and reconstruct full-length transcripts. mRNA abundance was determined for Leishmania and human genes at various time points post-infection, enabling us to identify co-expression patterns that correlate with the biology of the parasite and to obtain a preliminary analysis of the dynamic nature of parasite and host cell gene expression programs in the context of infection. This study provides a solid framework for future functional and genomic studies of leishmaniasis as well as intracellular pathogenesis in general.

Publication Title

Dual Transcriptome Profiling of Leishmania-Infected Human Macrophages Reveals Distinct Reprogramming Signatures.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18162
Effects of moderate ethanol consumption during pregnancy on placental gene expression
  • organism-icon Rattus norvegicus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

We conducted a preliminary investigation to determine whether ethanol-induced alterations in placental gene expression may have some utility as a diagnostic indicator of maternal drinking during pregnancy as well as a prognostic indicator of risk for adverse neurobehavioral outcomes in affected offspring.

Publication Title

Effects of moderate drinking during pregnancy on placental gene expression.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP056315
Macrophages with immunoregulatory activity in the absence of STAT6 signaling
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Macrophages readily change their phenotype in response to exogenous stimuli. In this work, macrophages were stimulated under a variety of experimental conditions, and alterations in mRNA levels were analyzed. We identified three transcriptionally related populations of macrophages with immunoregulatory activity. They were generated by stimulating cells with TLR ligands, in the presence of three different “reprogramming” signals; high density immune complexes (IC), prostaglandin E2 (PGE2), or adenosine (Ado). All three of these cell populations produced higher levels of transcripts for IL-10, and growth and angiogenic factors. They also secreted reduced levels of inflammatory cytokines IL-1Beta, IL-6, and IL-12. All three macrophage phenotypes could partially rescue mice from lethal endotoxemia, and therefore we consider each to have immunoregulatory activity. This immunoregulatory activity occurred equally well in macrophages from stat6-deficient mice. The lack of STAT6 did not affect macrophages’ ability to reciprocally change cytokine production or to rescue mice from lethal endotoxemia. Furthermore, treatment of macrophages with IL-4 failed to induce similar phenotypic or transcriptional alterations. This work demonstrates that there are multiple ways to generate macrophages with immunoregulatory activity. These immunoregulatory macrophages are transcriptionally and functionally related, and quite distinct from macrophages treated with IL-4.

Publication Title

The generation of macrophages with anti-inflammatory activity in the absence of STAT6 signaling.

Sample Metadata Fields

No sample metadata fields

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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