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accession-icon GSE94380
Gene expression data of Peyer's patch conventional dendritic cells and macrophages at steady state and under TLR7 ligand stimulation
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The initiation of the mucosal immune response in Peyers patch (PP) relies on the sampling, processing and efficient presentation of foreign antigens by dendritic cells (DC). PP DC encompass five subsets, among which CD11b+ conventional DC (cDC) and LysoDC have distinct progenitors and functions but share many cell surface markers. This has previously led to confusion between these two subsets. In addition, another PP DC subset, termed double-negative (DN), remains poorly characterized. Here, we have studied the genetic relatedness of the different subsets of PP cDC at steady state and under TLR7 ligand stimulation. We also provide the transcriptional profiles of subepithelial TIM-4- and interfollicular TIM-4+ macrophages.

Publication Title

Distribution, location, and transcriptional profile of Peyer's patch conventional DC subsets at steady state and under TLR7 ligand stimulation.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE80599
Expression data from human patients with slow or rapid Parkinson's Disease progression
  • organism-icon Homo sapiens
  • sample-icon 67 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Parkinsons Disease is a multi-system, disabling progressive neurodegenerative condition. Clinical progression is highly heterogeneous and, thus far, there are not available biomarkers to accurately predict the rate of disease progression. Thus, identifying molecular signatures that allow discriminating between different progression rates might significantly assist the therapeutic strategy, and enable improved outcomes in clinical trials.

Publication Title

Gene Expression Differences in Peripheral Blood of Parkinson's Disease Patients with Distinct Progression Profiles.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE31875
Gene and pathways affected by CAG-repeat RNA-based toxicity in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Spinocerebellar ataxia type 3 (SCA3) is one of the polyglutamine (polyQ) diseases, which are caused by a CAG repeat expansion within the coding region of the associated genes.

Publication Title

Genes and pathways affected by CAG-repeat RNA-based toxicity in Drosophila.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE6819
Identification of genes that are linked with optineurin expression
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study aimed to identify genes that are linked with optineurin expression using a combined siRNA-microarray approach

Publication Title

Identification of genes that are linked with optineurin expression using a combined RNAi--microarray approach.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13276
Candidate genes for the recurrence of glioblastoma multiforme identified by microarray
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background: Glioblastoma multiforme (GBM) is the most aggressive and most lethal primary malignant brain tumor, correlated with survival rates of less than one year from the time of diagnosis. Current surgical procedure attempts to remove the bulk of the tumor mass, whereas GBM frequently recurs within 1-3cm from the primary tumor resection site. Molecular mechanisms involved in the recurrence of the tumor are still poorly understood. The aim of the study was to define the molecular signature of GBM surrounding white matter (WM) in order to better understand the molecular mechanisms involved with tumor relapse.

Publication Title

Gene expression profile of glioblastoma peritumoral tissue: an ex vivo study.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9807
Expression data from RNAi SNCA treated human neuroblastoma cell line
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The pre-synaptic protein -synuclein is a key player in the pathogenesis of Parkinson's disease. Together with accumulation and missfolding of -synuclein protofibrils serve as seed structures for the aggregation of numerous proteins in the cytoplasm of neuronal cells, the so-called Lewy bodies. Furthermore, missense mutations in the SNCA gene and gene multiplications lead to autosomal dominant forms of familiar PD. However, so far the exact biological role of -synuclein in normal brain is elusive. To gain more insights into the biological function of this protein we monitored whole genome expression changes in dopaminergic neuroblastoma cells (SH-SY5Y) caused by a 90% reduction of -synuclein by RNA interference.

Publication Title

Microarray expression analysis of human dopaminergic neuroblastoma cells after RNA interference of SNCA--a key player in the pathogenesis of Parkinson's disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6263
Identification of genes whose expression is modulated by the presence or absence of PTEN
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In an effort to identify genes whose expression is regulated by activated PI3K signaling, we performed microarray analysis and subsequent qRT-PCR on an isogenic set of PTEN gene-targeted human cancer cells. Numerous p53 effectors were upregulated following PTEN deletion, including p21, GDF15, PIG3, NOXA, and PLK2. Stable depletion of p53 led to reversion of the gene expression program. Western blots revealed that p53 was stabilized in HCT116 PTEN-/- cells via an Akt1-dependent and p14ARF-independent mechanism. Stable depletion of PTEN in untransformed human fibroblasts and epithelial cells also led to upregulation of p53 and senescent-like growth arrest. Simultaneous depletion of p53 rescued this phenotype, enabling PTEN-depleted cells to continue proliferating. Next, we tested whether oncogenic PIK3CA, like inactivated PTEN, could activate p53. Retroviral expression of oncogenic human PIK3CA in MCF10A cells led to activation of p53 and upregulation of p53-regulated genes. Stable depletion of p53 reversed these PIK3CA-induced expression changes and synergized with oncogenic PIK3CA in inducing anchorage-independent growth. Finally, targeted deletion of an endogenous allele of oncogenic but not wild-type PIK3CA in a human cancer cell line led to a reduction in p53 levels and a decrease in the expression of p53-regulated genes. These studies demonstrate that activation of PI3K signaling by mutations in PTEN or PIK3CA can lead to activation of p53-mediated growth suppression in human cells, indicating that p53 can function as a brake on PIP3-induced mitogenesis during human cancer pathogenesis.

Publication Title

Activation of p53-dependent growth suppression in human cells by mutations in PTEN or PIK3CA.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41909
IL-7 and IL-15 instruct the generation of human memory stem T cells from nave precursors
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The identification of the most appropriate T-cell subset to ensure optimal persistence and anti-tumor activity is a major goal of cancer immunotherapy. We identified a novel post-mitotic CD45RA+CD62L+ T cell subpopulation (TTN), generated in vitro upon activation of nave T (TN) cells with beads conjugated to anti-CD3 and anti-CD28 antibodies. This cell population is highly proliferative, produces low levels of IFNg and cytotoxic molecules, and requires IL-7 and IL-15 for in vitro expansion.

Publication Title

IL-7 and IL-15 instruct the generation of human memory stem T cells from naive precursors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE80047
Based on Molecular Profiling of Gene Expression, Palmoplantar Pustulosis and Palmoplantar Pustular Psoriasis are Highly Related Diseases that Appear to Be Distinct from Psoriasis Vulgaris
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

There is a controversy surrounding the existence of palmoplantar pustulosis (PPP) and palmoplantar pustular psoriasis (PPPP) as separate clinical entities or as variants of the same clinical entity. We used gene expression microarray to compare gene expression in PPP and PPPP. PPP and PPPP could not be differentiated using gene expression microarray suggesting that they are not distinct clinical entities. Increased expression of GPRIN1, and ADAM23 in keratinocytes suggests that these proteins could be new therapeutic targets for PPP/PPPP.

Publication Title

Based on Molecular Profiling of Gene Expression, Palmoplantar Pustulosis and Palmoplantar Pustular Psoriasis Are Highly Related Diseases that Appear to Be Distinct from Psoriasis Vulgaris.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon SRP118296
System-wide Dissection of the Transcriptional Response to RUNX1 During Hematopoietic Specification [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The specification of hematopoietic cells in the developing embryo occurs in specific stages and is regulated by the successive establishment of specific transcriptional networks. However, the molecular mechanisms of how the different stages switch from one to another are still not well understood. Hematopoietic cells arise from endothelial cells within the dorsal aorta which transit into hematopoietic cells by a process called the endothelial-hematopoietic transition (EHT) which does not involve DNA replication. The transcription factor RUNX1 is essential for this process. Using the differentiation of mouse embryonic stem cells carrying an inducible version of RUNX1, we have previously shown that hematopoietic genes are primed prior to the EHT by the binding of transcription factors required to form both endothelial and hematopoietic cells (FLI-1 and SCL/TAL1). We demonstrated that after induction RUNX1 reshapes the transcription factor binding landscape by causing a relocation of these factors and pulling them towards its binding sites. In the study presented here, we employed the same system to globally dissect the transcriptional processes that underlay the EHT. We demonstrate that the RUNX1-mediated movement of FLI-1 involves the recruitment of the basal transcription components CDK9 and BRD4 to promoters. The looping factor LDB1 to binds to distal elements and after induction relocates towards RUNX1/FLI-1 to form a co-localizing complex in chromatin. This entire process is blocked by treatment with the BRD4 inhibitor JQ1. Our study constitutes a paradigm for transcriptional processes driving transitions in cellular shape and function which are widely observed in development and disease. Overall design: RNA-seq expreiments have been used to study RUNX1 transcription factor during Hematopoietic specification

Publication Title

The Co-operation of RUNX1 with LDB1, CDK9 and BRD4 Drives Transcription Factor Complex Relocation During Haematopoietic Specification.

Sample Metadata Fields

Specimen part, Subject

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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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