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accession-icon GSE66360
A Whole Blood Molecular Signature for the Identification of Acute Myocardial Infarction Without Relying Upon Myonecrosis (microarray)
  • organism-icon Homo sapiens
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Despite the significant reduction in the overall burden of cardiovascular disease (CVD) over the past decade, CVD still accounts for a third of all deaths in the United States and worldwide each year. While efforts to identify and reduce risk factors for atherosclerotic heart disease (i.e. hypertension, dyslipidemia, diabetes mellitus, cigarette smoking, inactivity) remain the focus of primary prevention, the inability to accurately and temporally predict acute myocardial infarction (AMI) impairs our ability to further improve patient outcomes. Our diagnostic evaluation for the presence of coronary artery disease relies on functional testing, which detects flow-limiting coronary stenosis, but we have known for decades that most lesions underlying AMI are only of mild to moderate luminal narrowings, not obstructing coronary blood flow. Accordingly, there is a dire need of improved diagnostics for underlying arterial plaque dynamics, fissure and rupture. Here we describe the designation of a specific gene expression pattern acting as a molecular signature for acute myocardial infarction present in whole blood of patients that was determined using microarray analysis of enriched circulating endothelial cells (CEC).

Publication Title

A Whole Blood Molecular Signature for Acute Myocardial Infarction.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP068706
RNA-sequencing of single whole cells and nuclei from mouse dentate granule cells
  • organism-icon Mus musculus
  • sample-icon 201 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single-cell sequencing methods have emerged as powerful tools for identification of heterogeneous cell types within defined brain regions. Application of single-cell techniques to study the transcriptome of activated neurons can offer insight into molecular dynamics associated with differential neuronal responses to a given experience. Through evaluation of common whole-cell and single-nuclei RNA-sequencing (snRNA-seq) methods, here we show that snRNA-seq faithfully re-capitulates transcriptional patterns associated with experience-driven induction of activity, including immediate early genes (IEGs) such as Fos, Arc, and Egr1. SnRNA-seq of mouse dentate granule cells reveals large-scale changes in the activated neuronal transcriptome after brief novel environment exposure, including induction of MAPK pathway genes . In addition, we observe a continuum of activation states, revealing a pseudo-temporal pattern of activation from gene expression alone. In summary, snRNA-seq of activated neurons enables the examination of gene expression beyond IEGs,allowing for novel insights into neuronal activation patterns in vivo. Overall design: Examination of 1) 82 whole-cell (WC) dentate granule cells from a PTZ- or saline-treated mouse, and 2) 23 single-nuclei (SN) from dentate granule cells of a homecage (HC) mouse or 96 nuclei from a mouse exposed to a novel environment (NE)

Publication Title

Nuclear RNA-seq of single neurons reveals molecular signatures of activation.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE50736
TEL-AML1 (ETV6-RUNX1) in B-cells and leukemia
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The impact of TEL-AML1 (ETV6-RUNX1) expression in precursor B cells and implications for leukaemia using three different genome-wide screening methods.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Cell line

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accession-icon GSE50735
TEL-AML1 (ETV6-RUNX1) in B-cells and leukemia (part 6)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We identified directly and indirectly regulated target genes utilizing an inducible TEL-AML1 system derived from the murine pro B-cell line BA/F3 and a monoclonal antibody directed against TEL-AML1. By integration of promoter binding identified with ChIP-on-chip, gene expression and protein output through microarray technology and stable labelling of amino acids in cell culture (SILAC), we identified directly and indirectly regulated targets of the TEL-AML1 fusion protein.

Publication Title

The impact of TEL-AML1 (ETV6-RUNX1) expression in precursor B cells and implications for leukaemia using three different genome-wide screening methods.

Sample Metadata Fields

Cell line

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accession-icon SRP018379
Tmem88a Mediates GATA-dependent Specification of Cardiomyocyte Progenitors by Restricting Canonical WNT Signaling
  • organism-icon Danio rerio
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

We sequenced mRNA from zebrafish wild-type embryos, gata5 morphants, gata6 morphants, and gata5/6 morphants at bud and 6-somite developmental stages to identify genes co-operatively regulated by gata5 and gata6 during cardiomyocyte progenitor specification. Overall design: Samples were collected in duplicate, with 40 embryos per sample. Single 36-base pair reads were sequenced on the Illumina Genome Analyzer IIx

Publication Title

Tmem88a mediates GATA-dependent specification of cardiomyocyte progenitors by restricting WNT signaling.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE75882
Gene expression profiling of tumor cells and M2 macrophages from WT mice and mice with deletion of integrin beta3 in macrophage lineage cells (b3KOM)
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To better understand the impact of integrin beta3 signaling in myeloid cells on the tumor microenvironment, we compared the gene expression profiles of FACS isolated GFP+ PyMT-BO1 MFP tumor cells and also M2 TAMs (CD11b+Gr1-F4/80+CD206+) from tumor tissue of WT mice and b3 mice.

Publication Title

Antagonizing Integrin β3 Increases Immunosuppression in Cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE75368
Combined transcriptome and translatome analyses reveal a role for tryptophan dependent auxin biosynthesis in the control of DOG1 dependent seed dormancy
  • organism-icon Arabidopsis thaliana
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.1 ST Array (aragene11st)

Description

Transcriptome and translatome analyses of 6 and 24 hours imbibed seeds dormant and non-dormant seeds of NILDOG1-Cvi with and without addition of the transcription inhibitor Cordycepin. NILDOG1-Cvi is the Ler WT containing an introgression of the Cvi accession on chromosome 5, which includes the DOG1 gene (Bentsink et al., 2006).

Publication Title

Combined transcriptome and translatome analyses reveal a role for tryptophan-dependent auxin biosynthesis in the control of DOG1-dependent seed dormancy.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE42591
Expression data from fresh and cultured islets at different glucose concentrations
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

-cell identity is determined by tightly regulated transcriptional networks that are modulated by extracellular cues, thereby ensuring -cell adaptation to the organisms insulin demands. We have observed in pancreatic islets that stimulatory glucose concentrations induced a gene profile that was similar to that of freshly isolated islets, indicating that glucose-elicited cues are involved in maintaining -cell identity. Low glucose induces the expression of ubiquitous genes involved in stress responses, nutrient sensing, and organelle biogenesis. By contrast, stimulatory glucose concentrations activate genes with a more restricted expression pattern (- and neuronal- cell identity). Consistently, glucose-induced genes are globally reduced in islets deficient with Hnf1a (MODY3), characterized by a deficient glucose metabolism. Of interest, a cell cycle gene module was the most enriched among the variable genes between intermediate and stimulatory glucose concentrations. Glucose regulation of the islet transcriptome was unexpectedly broadly maintained in islets from aged mice. However, the cell cycle gene module is selectively lost in old islets and the glucose activation of this module is not recovered even in the absence of the cell cycle inhibitor p16.

Publication Title

Glucose regulation of a cell cycle gene module is selectively lost in mouse pancreatic islets during ageing.

Sample Metadata Fields

Specimen part

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accession-icon GSE28819
Changes in the Bone Marrow Microenvironment Impact Anabolic Actions of PTH
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Irradiation induced bone marrow ablation ultimately enhanced PTH anabolic effects in bone.

Publication Title

An irradiation-altered bone marrow microenvironment impacts anabolic actions of PTH.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE2133
Effects of anoxia and sucrose on seedling growth
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Arabidopsis thaliana ecotype Columbia glabra were grown for 4 days in the dark without added sucrose. Samples were subsequently kept for 6h either [1] under aerobic conditions, [2] under anoxia in absence of sucrose or [3] under anoxia in presence of sucrose.

Publication Title

A genome-wide analysis of the effects of sucrose on gene expression in Arabidopsis seedlings under anoxia.

Sample Metadata Fields

No sample metadata fields

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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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