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accession-icon GSE42641
A Top-down Systems Analysis Identifies an Innate Feed-forward Inflammatory Circuit Leading to Lethal Influenza Infection
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A systems analysis identifies a feedforward inflammatory circuit leading to lethal influenza infection.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE42639
Transcriptomic comparison of 5 cell types during lethal and non-lethal influenza infection
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Transcriptomic comparison of 5 cell types during lethal and non-lethal influenza infection and further use of these signatures in a top-down systems analysis investigating the relative pathogenic contributions of direct viral damage to lung epithelium vs. dysregulated immunity during lethal influenza infection.

Publication Title

A systems analysis identifies a feedforward inflammatory circuit leading to lethal influenza infection.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE28750
Development and Validation of a Novel Molecular Biomarker Diagnostic Test for the Early Detection of Sepsis
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Introduction: Sepsis is a complex immunological response to infection characterized by early hyperinflammation followed by severe and protracted immunosuppression, suggesting that a multi-marker approach has the greatest clinical utility for early detection, within a clinical environment focused on SIRS differentiation. Pre-clinical research using an equine sepsis model identified a panel of gene expression biomarkers that define the early aberrant immune activation. Thus, the primary objective was to apply these gene expression biomarkers to distinguish patients with sepsis from those who had undergone major open surgery and had clinical outcomes consistent with systemic inflammation due to physical trauma and wound healing.

Publication Title

Development and validation of a novel molecular biomarker diagnostic test for the early detection of sepsis.

Sample Metadata Fields

Specimen part

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accession-icon SRP071739
Changes in RNA expression in human oral cavity carcinoma cells as a result of LDB1 reduction
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The study was designed to identify differential expressed genes between human oral cavity carcinoma cell lines with and without LDBI knockout Overall design: Three parental human oral cavity carcinoma cell lines were used as control, LDB1 was knocked out in the three parent cell lines to create KO cell lines.

Publication Title

LIM-Only Protein 4 (LMO4) and LIM Domain Binding Protein 1 (LDB1) Promote Growth and Metastasis of Human Head and Neck Cancer (LMO4 and LDB1 in Head and Neck Cancer).

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE49814
Genome-wide cheater screen reveals safeguards for cell cooperation during embryogenesis
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Ensuring cooperation among formerly autonomous cells has been a central challenge in the evolution of multicellular organisms. One solution is monoclonality, but this option does not eliminate genetic and epigenetic variability, leaving room for exploitative behavior. We therefore hypothesized that embryonic development must be protected by robust regulatory mechanisms that prevent aberrant clones from superseding wild-type cells. Using a genome-wide screen in murine induced pluripotent stem cells, we identified a network of genes (centered on p53, topoisomerase 1, and olfactory receptors) whose downregulation caused the cells to replace wild-type cells, both in vitro and in the mouse embryowithout perturbing normal development. These genes thus appear to fulfill an unexpected role in fostering cell cooperation.

Publication Title

Safeguards for cell cooperation in mouse embryogenesis shown by genome-wide cheater screen.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE70216
Differential gene expression to VEGF in aorta from wild-type and C17S PKARI knock-in mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Angiogenesis is essential for tissue development, wound healing and tissue perfusion, with its dysregulation linked-to tumorigenesis, rheumatoid arthritis and heart disease. Here we show pro-angiogenic stimuli couple to NADPH oxidase-dependent generation of oxidants that catalyse an activating intermolecular-disulphide between regulatory-RI subunits of protein kinase A (PKA), which stimulates PKA-dependent ERK signalling. This is crucial to blood vessel growth as 'redox-dead' Cys17Ser RI knock-in mice fully resistant to PKA disulphide-activation have deficient angiogenesis in models of hind limb ischaemia and tumour-implant growth. Disulphide-activation of PKA represents a new therapeutic target in diseases with aberrant angiogenesis.

Publication Title

Deficient angiogenesis in redox-dead Cys17Ser PKARIα knock-in mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE55170
Infection of Myeloid Angiogenic Cells (MACs) with Bartonella henselae (B.h.) induces a chord formation phenotype in vitro.
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Myeloid Angiogenic Cells (MACs) were infected with the intracellular, bacterial pathogen Bartonella henselae (B.h.). Infected cells were seeded onto Matrigel coated plates. While uninfected cells showed no phenotypic changes and died over time, infected cells showed strong phenotypic changes and developed into complex 2D chord networks over the course of long term culture (eg 49d). To examine the changes in gene expression associated with the development of the B.h.dependent chord formation phenotype, RNA was isolated from MACs shortly after isolation (d4) and from cells of the chord structures (+B.h. Matrigel). As primary endothelial cells are also know to form chord networks when cultured on Matrigel, a sample of human umbilical vein endothelial cells (HUVECs) cultured on Matrigel for 12hr was also included in the analysis as a control.

Publication Title

Reprogramming of myeloid angiogenic cells by Bartonella henselae leads to microenvironmental regulation of pathological angiogenesis.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE57658
Activating c-KIT mutations confers oncogenic cooperativity and rescue RUNX1-ETO induced DNA-damage in human cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

REtr causes genomic instability in U937 cells. Activated forms of c-KIT, like c-KIT(N822K), rescues the Retr induced genomic instability by increasing the rate of DNA repair by homologous recombination

Publication Title

Activating c-KIT mutations confer oncogenic cooperativity and rescue RUNX1/ETO-induced DNA damage and apoptosis in human primary CD34+ hematopoietic progenitors.

Sample Metadata Fields

Cell line

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accession-icon GSE99340
Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts
  • organism-icon Homo sapiens
  • sample-icon 402 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

Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE99339
Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts [glomeruli]
  • organism-icon Homo sapiens
  • sample-icon 187 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Accumulating evidence suggests that dysregulation of hypoxia-regulated transcriptional mechanisms is involved in development of chronic kidney diseases (CKD). However, it remains unclear how hypoxia-induced transcription factors (HIFs) and subsequent biological processes contribute to CKD development and progression. In our study, genome-wide expression profiles of more than 200 renal biopsies from patients with different CKD stages revealed significant correlation of HIF-target genes with eGFR in glomeruli and tubulointerstitium. These correlations were positive and negative and in part compartment-specific. Microarrays of proximal tubular cells and podocytes with stable HIF1 and/or HIF2 suppression displayed cell type-specific HIF1/HIF2-dependencies as well as dysregulation of several pathways. WGCNA analysis identified gene sets that were highly coregulated within modules. Characterization of the modules revealed common as well as cell group- and condition-specific pathways, GO-Terms and transcription factors. Gene expression analysis of the hypoxia-interconnected pathways in patients with different CKD stages revealed an increased dysregulation with loss of renal function. In conclusion, our data clearly point to a compartment- and cell type-specific dysregulation of hypoxia-associated gene transcripts and might help to improve the understanding of hypoxia, HIF dysregulation, and transcriptional program response in CKD.

Publication Title

Transcriptome-based network analysis reveals renal cell type-specific dysregulation of hypoxia-associated transcripts.

Sample Metadata Fields

Specimen part

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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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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