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accession-icon GSE59805
Ectopic microRNA-150 transcription mimics GR therapy response in GC sensitive MM1S multiple myeloma cells but fails to overcome GC resistance in MM1R cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Glucocorticoids (GCs) are commonly used to treat patients suffering from lymphoid malignancies i.e. leukemia and multiple myeloma. Although GCs are known to be strong inducers of apoptosis in lymphoid cells, the molecular determinants of GC therapy resistance are poorly understood. Although GC treatment triggers important changes in gene expression, few studies have addressed the regulatory role of small regulatory microRNAs (miRNAs) in GC therapy response. Only recently, aberrant microRNA expression has been linked to the development of haematological malignancies and microRNAs have become master regulators of drug resistance. We identified GC inducible mRNA and microRNA transcription profiles in GC sensitive MM1S as compared to GC resistant MM1R cells. Transcriptome analysis revealed that GCs regulate multiple genes involved in cell cycle control, cell organization and cell death in MM1S, which remain unaffected in MM1R cells. Correspondingly, GCs selectively trigger cell death in MM1S but not in MM1R. Out of 32 microRNAs responsive to GC in MM1S cells but not in MM1R cells, mir-150 was identified as the most persistent GC responsive microRNA. Furthermore, Ingenuity Pathways Analysis (IPA) revealed that ectopic transfection of a synthetic mir-150 mimics GC therapy response in MM1S cells, associated with selective changes in mRNA levels of typical GR transactivated and transrepressed target genes. Although mir-150 largely mirrors GC responsive changes in gene expression of the transcription factor Myb, GR chaperone FKBP5, cell cycle modulator proteins (IL23A, SKP2, CDKN1A), chemokine signaling proteins (CXCR4, CX3CR1, CCL3) and mTOR/UPR stress related proteins (DDIT4, TXNIP), we also observed mir-150 selective effects on transcription factors (NR3C2 (MR), Myb, Fos, Jun, C/EBP-beta, IRF4, NFE2L1, ATF3, ATF4,), chaperone molecules HSPA8, HSP90AB1), the sodium channel SCNN1G and UPR stress proteins (TRIB3, DDIT3). Remarkably, mir-150 overexpression was not able to overcome GC therapy resistance, since we could not detect GC like effects of mir-150 in GR (NR3C1) deficient MM1R cells. Altogether GC-inducible mir-150 adds a novel complex layer of regulation for fine tuning GC specific therapeutic responses in multiple myeloma.

Publication Title

Ectopic microRNA-150-5p transcription sensitizes glucocorticoid therapy response in MM1S multiple myeloma cells but fails to overcome hormone therapy resistance in MM1R cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE70169
The deafness gene DFNA5 induces programmed cell death through mitochondria and MAPK-related pathways
  • organism-icon Homo sapiens, Saccharomyces cerevisiae
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The deafness gene DFNA5 induces programmed cell death through mitochondria and MAPK-related pathways.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE70167
The deafness gene DFNA5 induces programmed cell death through mitochondria and MAPK-related pathways [HEK293T]
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The function of DFNA5 remained unknown for a long time, but previous functional studies by Op de Beeck et al. (2011) revealed that DFNA5 induces a growth defect in mutDFNA5- transfected HEK293T cells, as well as other cells, leading to PCD (Op de Beeck et al., 2011). The cell death-inducing capacity of DFNA5 was not only restricted to human cell lines, but was also observed in the yeast model Saccharomyces cerevisiae (Van Rossom et al., 2012). This inspired us to perform a transcriptomic analysis using two different model organisms (mammalian, HEK293T, and yeast, S.cerevisiae) to further elucidate the mechanisms related to DFNA5.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE79184
CCL4 Secretion By Interleukin-15 Dendritic Cells Directs Superior Recruitment Of Cd56+ Cytolytic Lymphocytes
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A key requisite for the success of a dendritic cell (DC)-based vaccine in treating malignancies is the capacity of the DCs to attract immune effector cells for further interaction and activation, considering crosstalk with DCs is partially regulated by cell-contact-dependent mechanisms. Although critical for therapeutic efficacy, immune cell recruitment is a largely overlooked aspect regarding optimization of DC therapy. In this paper we examine if the so-called interleukin (IL)-15 DC vaccine provides a favorable chemokine milieu for recruiting T cells, natural killer (NK) cells and gamma delta () T cells, in comparison with the IL-4 DCs used routinely for clinical studies, as well as the underlying mechanisms of immune cell attraction by IL-15 DCs. Chemokine signaling is studied both at the RNA level, using microarray data of mature DCs, and functional level, by means of a transwell chemotaxis assay. Important to note, the classic IL-4 DC vaccine falls short to attract the required immune effector lymphocytes, whereas the IL-15 DCs provide a favorable chemokine milieu for recruiting all cytolytic effector cells. The elevated secretion of the chemokine (C-C motif) ligand 4 (CCL4), also known as macrophage inflammatory protein-1 (MIP-1), by IL-15 DCs underlies the enhanced migratory responsiveness of T cells, NK cells and T cells. Namely, neutralizing its receptor CCR5 resulted in a significant drop in migration of the aforementioned effector cells towards IL-15 DCs. These findings should be kept in mind in the design of future DC-based cancer vaccines.

Publication Title

Desirable cytolytic immune effector cell recruitment by interleukin-15 dendritic cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE1478
Comparison between aortic and endocardial endothelial cells expression profiles
  • organism-icon Rattus norvegicus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Endocardial (EE) and Aortic (AE) endothelial cells were isolated from the same two rats, pooled (EE and AE kept separately) and cultured for 2 passages. Culture conditions and confluence of EE and AE cell cultures were kept as identical as possible. RNA was isolated and the expression profile of both endothelial cell types was compared using the Affymetrix rat genome U34A array.

Publication Title

Molecular diversity of cardiac endothelial cells in vitro and in vivo.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE69675
Functional investigation of miRNAs by characterization of SH-SY5Y cells overexpressing wild type or mutant miRNA genes
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Genome wide mRNA and miRNA profiling was performed in SH-SY5Y cells stably overexpressing wild type or mutant MIR204 or MIR618. Mutants came from a large scale genetic screening of brain expressed miRNA genes in patients with schizophrenia or idiopathic generalized epilepsy and in control individuals. Based on enrichment of the variants with the schizophrenic or epileptic phenotype and based on impact prediction, two variants, one near MIR204 (rs7861254) and one in MIR618 (rs2682818) were selected for functional validation. Genome wide profiling of mRNA (micro-array) and mature miRNAs (small RNA sequencing, submitted to SRA) was performed in the created stable cells to assess the effect of the variants and to investigate the function of these miRNA genes.

Publication Title

Schizophrenia-Associated MIR204 Regulates Noncoding RNAs and Affects Neurotransmitter and Ion Channel Gene Sets.

Sample Metadata Fields

Cell line

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accession-icon GSE73072
Host gene expression signatures of H1N1, H3N2, HRV, RSV virus infection in adults
  • organism-icon Homo sapiens
  • sample-icon 2886 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Consider the problem of designing a panel of complex biomarkers to predict a patient's health or disease state when one can pair his or her current test sample, called a target sample, with the patient's previously acquired healthy sample, called a reference sample. As contrasted to a population averaged reference, this reference sample is individualized. Automated predictor algorithms that compare and contrast the paired samples to each other could result in a new generation of test panels that compare to a person's healthy reference to enhance predictive accuracy. This study develops such an individualized predictor and illustrates the added value of including the healthy reference for design of predictive gene expression panels. The objective is to predict each subject's state of infection, e.g., neither exposed nor infected, exposed but not infected, pre-acute phase of infection, acute phase of infection, post-acute phase of infection. Using gene microarray data collected in a large-scale serially sampled respiratory virus challenge study, we quantify the diagnostic advantage of pairing a person's baseline reference with his or her target sample.

Publication Title

An individualized predictor of health and disease using paired reference and target samples.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE138914
Gene expression data from lymphoblastoid cell lines from African American participants in the GENOA study
  • organism-icon Homo sapiens
  • sample-icon 711 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

African-American individuals of the GENOA cohort

Publication Title

Genetic Architecture of Gene Expression in European and African Americans: An eQTL Mapping Study in GENOA.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE18927
University of Washington Human Reference Epigenome Mapping Project
  • organism-icon Homo sapiens
  • sample-icon 97 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

The NIH Roadmap Epigenomics Mapping Consortium aims to produce a public resource of epigenomic maps for stem cells and primary ex vivo tissues selected to represent the normal counterparts of tissues and organ systems frequently involved in human disease.

Publication Title

The NIH Roadmap Epigenomics Mapping Consortium.

Sample Metadata Fields

Sex, Specimen part, Disease, Subject

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accession-icon GSE30211
Gene expression changes during Type 1 diabetes pathogenesis
  • organism-icon Homo sapiens
  • sample-icon 724 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip, Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Innate immune activity is detected prior to seroconversion in children with HLA-conferred type 1 diabetes susceptibility.

Sample Metadata Fields

Sex, Specimen part

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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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