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accession-icon GSE18113
Expression data from Human MicroVascular Endothelial Cells (HMVECS)
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The activation of endothelium by tumor cells is one of the main steps by tumor metastasis. The role of the blood components (platelets and leukocytes) in this process remain unclear.

Publication Title

Selectin-mediated activation of endothelial cells induces expression of CCL5 and promotes metastasis through recruitment of monocytes.

Sample Metadata Fields

Specimen part

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accession-icon GSE62008
Expression from hemocytes misexpressing Idh-R195H vs. controls
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Expression profile for hemocytes from hml-Gal4, UAS-2xEGFP larvae were compared to hemocytes from hml-Gal4, UAS-2xEGFP; UAS-Idh-R195H larvae

Publication Title

Genetic dissection of leukemia-associated IDH1 and IDH2 mutants and D-2-hydroxyglutarate in Drosophila.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10870
Role of SRF in activity-regulated transcription in the striatum of the brain
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Ablation of the Srf gene in dopaminoceptive neurons of the brain was performed using the Cre/loxP system, with the recombinase expressed from a BAC-derived Drd1a promoter.

Publication Title

Loss of the serum response factor in the dopamine system leads to hyperactivity.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP108720
RNA-Seq of polysome profiling fractions and whole cell lysates of UVB-irradiated N-TERT keratinocytes
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

In response to UVB irradiation, human keratinocytes transiently block cell cycle progression to allow ample time for DNA repair and cell fate determination. These cellular processes are important for evading the initiation of carcinogenesis in skin. We previously showed that repression of mRNA translation initiation through phosphorylation of eIF2a (eIF2a-P) protects keratinocytes from UVB-induced apoptosis. In this study, we elucidate the mechanism of eIF2a-P cytoprotection in response to UVB. Loss of eIF2a-P induced by UVB diminished G1 arrest, DNA repair rate, and cellular senescence coincident with enhanced cell death in human keratinocytes. Genome-wide translation analyses revealed that the mechanism for these critical changes directed by eIF2a-P involved induced expression of CDKN1A encoding p21 protein. p21 is a major regulator of the cell cycle, and we show that human CDKN1A mRNA splice variant 4 is preferentially translated by eIF2a-P during stress in a mechanism mediated in part by upstream ORFs situated in the 5'-leader of CDKN1A mRNA. We conclude that eIF2a-P is cytoprotective in response to UVB by a mechanism featuring translation of a specific splice variant of CDKN1A that facilitates G1 arrest and subsequent DNA repair. Overall design: Untreated and irradiated N-TERT keratinocytes are split into 3 groups: monosome fraction, polysome fraction, and whole cell lysate. N=3.

Publication Title

Translational control of a human <i>CDKN1A</i> mRNA splice variant regulates the fate of UVB-irradiated human keratinocytes.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE68761
Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Understanding the structure and interplay of cellular signalling pathways is one of the great challenges in molecular biology. Boolean Networks can infer signalling networks from observations of protein activation. In situations where it is difficult to assess protein activation directly, Nested Effect Models are an alternative. They derive the network structure indirectly from downstream effects of pathway perturbations. To date, Nested Effect Models cannot resolve signalling details like the formation of signalling complexes or the activation of proteins by multiple alternative input signals. Here we introduce Boolean Nested Effect Models (B-NEM). B-NEMs combine the use of downstream effects with the higher resolution of signalling pathway structures in Boolean Networks. We show that B-NEMs accurately reconstruct signal flows in simulated data. Using B-NEM we then resolve BCR signalling via PI3K and TAK1 kinases in BL2 lymphoma cell lines.

Publication Title

Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE29700
Stimulation of BL2 cell line with lipopolysaccharide (LPS) for 6h
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of genes up or down regulated in LPS stimulated samples in comparison to control samples.

Publication Title

Genomic data integration using guided clustering.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE48184
Molecular classification of mature aggressive B cell lymphoma using digital multiplexed gene expression on formalin-fixed paraffin-embedded biopsy specimens
  • organism-icon Homo sapiens
  • sample-icon 133 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Molecular classification of mature aggressive B-cell lymphoma using digital multiplexed gene expression on formalin-fixed paraffin-embedded biopsy specimens.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE48097
Molecular classification of mature aggressive B cell lymphoma using digital multiplexed gene expression on formalin-fixed paraffin-embedded biopsy specimens [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The most frequent mature aggressive B-cell lymphomas are diffuse large B-cell lymphoma (DLBCL) and Burkitt lymphoma (BL). Patients suffering from molecularly defined BL (mBL) but treated with a regimen developed for DLBCL show an unfavorable outcome compared to mBL treated with chemotherapy regimens for BL. Distinguishing BL from DLBCL by conventional histopathology is challenging in lymphomas that have features common to both diseases (aggressive B-cell lymphoma unclassifiable with features of DLBCL and BL [intermediates]). Moreover, DLBCL are a heterogeneous group of lymphomas comprising distinct molecular subtypes: the activated B-cell (ABC)-like, the germinal center B-cell-like (GCB) and the unclassifyable subtype as defined by gene expression profiling (GEP). Attempts to replace GEP with techniques applicable to formalin-fixed paraffin-embedded (FFPE) tissue led to algorithms for immunohistochemical stainings (IHS). Disappointingly, the algorithms yielded conflicting results with respect to their prognostic potential, raising concerns about their validity. Furthermore, IHS algorithms did not provide a fully resolved classification: They did not identify mBL; nor did they separate ABC from unclassified DLBCL.

Publication Title

Molecular classification of mature aggressive B-cell lymphoma using digital multiplexed gene expression on formalin-fixed paraffin-embedded biopsy specimens.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE102964
Novel targets in injured cord in an obese SCI rat model
  • organism-icon Rattus norvegicus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

In the present study, we sought to understand the impact of obesity/metabolic disease (high-fat induced) on spinal cord injury (SCI) by examining transcriptome. Adult, male Long Evans rats received either thoracic level contusion of the spinal cord or sham laminectomy and then were allowed to recover on normal rat chow for 4 weeks and further on HFD for an additional 8 weeks. Spinal cord tissues harvested from the rats were processed for Affymetrix microarray and further transcriptomic analysis.

Publication Title

Chronic spinal cord changes in a high-fat diet-fed male rat model of thoracic spinal contusion.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP162873
RNA sequencing in healthy controls, intermittent claudicant, and CLI patient skeletal muscle
  • organism-icon Homo sapiens
  • sample-icon 50 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Gastrocnemius muscle biopsies were obtained from 15 health older adults without peripheral artery disease (PAD), 20 PAD patients with intermittent claudication, and 16 patients with critical limb ischemia undergoing limb amputation. Gene expression analysis was performed using RNA sequencing analysis. Overall design: Examination of gene expression differences across the clinical spectrum of PAD (healthy vs. claudicant vs. critical limb ischemia)

Publication Title

Extensive skeletal muscle cell mitochondriopathy distinguishes critical limb ischemia patients from claudicants.

Sample Metadata Fields

Specimen part, Disease, Subject

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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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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