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accession-icon GSE86234
IRAK4 kinase activity mediates IRF5 activation via IKK and TAK1
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

IRAK4 kinase plays a critical role in innate immune responses and inflammation by modulating the TLR/IL-1R signaling pathway, yet the mechanism by which it regulates downstream pathways and transcription factors to induce inflammatory cytokines is unclear. IRAK4 can mediate signaling events by mechanisms both dependent and independent of its kinase activity. Understanding this regulation is important for deciphering the role of IRAK4 and for the development of treatments for inflammatory diseases and cancer. Through transcriptomic and biochemical analyses of primary human monocytes treated with a highly potent and selective inhibitor of IRAK4, we show that IRAK4 kinase activity controls the transcription factor IRF5 which in turn induces inflammatory cytokine and type I interferon transcription in myeloid cells. We also show that IRAK4 kinase activity does not control activation of NF-B. Following TLR stimulation, translocation of IRF5, but not NF-B, to the nucleus in human monocytes is abolished by IRAK4 kinase inhibition. In addition, binding of IRF5, but not NF-B p65, to promoters of inflammatory target genes (TNF- and IP10) is blocked with an IRAK4 kinase inhibitor. IKK, a known activator of IRF5, is phosphorylated in response to TLR mediated signaling, and inhibition of IRAK4 kinase blocks IKK phosphorylation. Pharmacological inhibition of IKK and TAK1, the upstream kinase of IKK, in human monocytes blocks IL-1, IL-6 and TNF- cytokine production, as well as IRF5 translocation to the nucleus. Taken together, our data suggest a novel mechanism by which IRAK4 kinase activity regulates TAK1 and IKK activation, leading to the translocation of IRF5 and induction of inflammatory cytokines in human monocytes.

Publication Title

IRAK4 kinase activity controls Toll-like receptor-induced inflammation through the transcription factor IRF5 in primary human monocytes.

Sample Metadata Fields

Treatment

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accession-icon GSE62600
Gene expression analysis of human medulloblastoma and neural stem cells
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Medulloblastoma is the most common form of malignant paediatric brain tumour and is the leading cause of childhood cancer related mortality. The four molecular subgroups of medulloblastoma that have been identified WNT, SHH, Group 3 and Group 4 - have molecular and topographical characteristics suggestive of different cells of origin. Definitive identification of the cell(s) of origin of the medulloblastoma subgroups, particularly the poorer prognosis Group 3 and Group 4 medulloblastoma, is critical to understand the pathogenesis of the disease, and ultimately for the development of more effective treatment options.

Publication Title

Gene expression analyses of the spatio-temporal relationships of human medulloblastoma subgroups during early human neurogenesis.

Sample Metadata Fields

Sex, Age

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accession-icon GSE19163
Normal Colon Epithelial Cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Provides a set of enriched normal colon epithelial cells to use as a baseline for disease of the colon

Publication Title

Normal colon epithelium: a dataset for the analysis of gene expression and alternative splicing events in colon disease.

Sample Metadata Fields

Sex

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accession-icon GSE69078
Comparison of the gene expression profiles of carfilzomib-resistant derivatives versus parental human myeloma cell lines
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

KMS-11 and KMS-34 cells were exposed to stepwise increasing concentrations of carfilzomib over a period of 18 weeks: cells adapted to growth in 4 nM carfilzomib by 4 weeks, in 6 nM in another 6 weeks and in 12 nM after a further 8 weeks. The resulting cell cultures, denoted KMS-11/Cfz and KMS-34/Cfz, respectively, retained resistance to carfilzomib even when tested after removal of selective pressure for approximately 8 weeks.

Publication Title

KLF4-SQSTM1/p62-associated prosurvival autophagy contributes to carfilzomib resistance in multiple myeloma models.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE22840
Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast
  • organism-icon Homo sapiens
  • sample-icon 19 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

Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE22544
Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast: expression analysis
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Introduction: A major challenge in the interpretation of genomic profiling data generated from breast cancer samples is the identification of driver genes as distinct from bystander genes which do not impact tumorigenesis. One way to assess the relative importance of alterations in the transcriptome profile is to combine complementary analyses that assess changes in the copy number alterations (CNAs). This integrated analysis permits the identification of genes with altered expression that map within specific chromosomal regions that demonstrate copy number alterations, providing a mechanistic approach to identify the 'driver genes.

Publication Title

Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE5486
Using GINI2 to identify novel mutations in candidate tumor suppressor genes in colon cancer cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Inhibition of the nonsense mediated decay (NMD) mechanism in cells results in stabilization of transcripts carrying premature translation termination codons. A strategy referred to as gene indentification by NMD inhibition (GINI) has been proposed to identify genes carrying nonsense mutations (Noensie & Dietz, 2001). Genes containing frameshift mutations in colon cancer cell line have been identifying mutatnt genes using GINI, we have now further improved the strategy. In this approach, inhibition of NMD with emetine is complemented with inhibiting NMD by blocking the phosphorylation of the hUpf1 protein with caffeine. In addition, to enhance the GINI strategy, comparing mRNA level alterations produced by inhibiting transcription alone or inhbiiting transcription together with NMD following caffeine pretreatment were used for the efficient identification of false positives produced as a result of stress response to NMD inhibition. To demonstrate the improved efficiency of this approach, we analyzed colon cancer cell lines showing microstellite instability. Bi-allelic inactivating mutations were found in the FXR1, SEC1L1, NCOR1, BAT3, PHD14, ZNF294, C190ORF5 genes as well as genes coding for proteins with yet unknown functions.

Publication Title

Identifying candidate colon cancer tumor suppressor genes using inhibition of nonsense-mediated mRNA decay in colon cancer cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE78069
Comparative expression analysis of carfilzomib-resistant and parental LP-1 human multiple myeloma cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

LP-1 cells were exposed to stepwise increasing concentrations of carfilzomib over a period of 18 weeks: cells adapted to growth in 4 nM carfilzomib by 4 weeks, in 6 nM in another 6 weeks and in 12 nM after a further 8 weeks. The resulting cell culture, denoted LP-1/Cfz, retained resistance to carfilzomib even when tested after removal of selective pressure for approximately 8 weeks.

Publication Title

Noncanonical SQSTM1/p62-Nrf2 pathway activation mediates proteasome inhibitor resistance in multiple myeloma cells via redox, metabolic and translational reprogramming.

Sample Metadata Fields

Cell line

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accession-icon SRP062287
Research resource: global identification of estrogen receptor ß target genes in triple negative breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The goal of this work was to identify all estrogen receptor beta target genes using RNA sequencing in MDA-MB-468 triple negative breast cancer cells engineered with inducible expression of full length estrogen receptor beta. Overall design: MDA-MB-468 breast cancer cells with inducible ERb expression (MDA-468-ERb cells) were treated in triplicate with vehicle (control, no ERb) or doxycycline (plus ERb) for 48 hr prior to treatment with 0.1% DMSO vehicle or 10 nM 17b-estradiol for 4 hr.

Publication Title

Research resource: global identification of estrogen receptor β target genes in triple negative breast cancer cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE40059
A systematic evaluation of miRNA: mRNA interactions involved in the migration and invasion of breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 27 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

A systematic evaluation of miRNA:mRNA interactions involved in the migration and invasion of breast cancer cells.

Sample Metadata Fields

Specimen part, Cell line

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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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