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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

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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 GSE62547
In vitro assessment of drug-induced liver steatosis based on human dermal stem cell-derived hepatic cells.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human skin-derived precursor cells (hSKP) are a post natal stem cell population isolated from the dermis. These cells acquire hepatic characteristics upon differentiation with hepatogenic factors. Differentiated hSKP show characteristics of hepatocyte precursor cells and respond to hepatotoxic compounds in a comparable way as human hepatocyte cultures.

Publication Title

In vitro assessment of drug-induced liver steatosis based on human dermal stem cell-derived hepatic cells.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE6731
Genome-wide gene expression differences between Crohns and ulcerative colitis from endoscopic pinch biopsies:
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Ulcerative colitis (UC) and Crohns disease (CD) are inflammatory bowel diseases (IBD) with variable, overlapping clinical features and complex pathophysiologies. To identify pathogenic processes underlying these disease subtypes, using single endoscopic pinch biopsies to estabolish 36 expression profiles, we elucidated gene expression patterns of active and inactive areas of UC and CD, and compared these to infectious colitis and healthy controls.

Publication Title

Genome-wide gene expression differences in Crohn's disease and ulcerative colitis from endoscopic pinch biopsies: insights into distinctive pathogenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10791
Gene expression profiles in sigmoid colon biopsies from healthy and patients with ulcerative colitis
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiles were performed to compare the difference in sigmoid colon biopsies between from healthy control and patients with ulcerative colitis.

Publication Title

MicroRNAs are differentially expressed in ulcerative colitis and alter expression of macrophage inflammatory peptide-2 alpha.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP096878
Genome-wide gene expression analysis of Y-chromosome aneuploidy strains of Drosophila melanogaster
  • organism-icon Drosophila melanogaster
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Y-chromosome aneuploidy strains were generated for 2 distinct Y chromosomes (Ycongo and Yohio), and expression profile analyzed by RNA-seq. Overall design: CONTRAST 1: X^X (control) vs X^XYohio; CONTRAST 2: X^X (control) vs X^XYcongo; CONTRAST 3: X^Y (control) vs X^YYohio; CONTRAST 4: X^Y (control) vs X^YYcongo.

Publication Title

The Y Chromosome Modulates Splicing and Sex-Biased Intron Retention Rates in <i>Drosophila</i>.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE48757
Pro-inflammatory stimulation of human skin-derived precursor cells modulates several of their immunology-related pathways.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human skin-derived precursor cells (hSKP) are a stem cell population that represents key candidates for cell based-therapy. Inflammation, however, is often present in situations where cellular replacement therapy is required. These inflammatory conditions, and more specifically the presence of the cytokine interferon (IFN)-, might result in an increase of MHC class II antigens in hSKP-derived grafts and facilitate their rejection.

Publication Title

Human skin-derived precursor cells are poorly immunogenic and modulate the allogeneic immune response.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE74224
Discrimination of SIRS from Sepsis in Critically Ill Adults
  • organism-icon Homo sapiens
  • sample-icon 105 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Background: Systemic inflammation is a whole body reaction that can have an infection-positive (i.e. sepsis) or infection-negative origin. It is important to distinguish between septic and non-septic presentations early and reliably, because this has significant therapeutic implications for critically ill patients. We hypothesized that a molecular classifier based on a small number of RNAs expressed in peripheral blood could be discovered that would: 1) determine which patients with systemic inflammation had sepsis; 2) be robust across independent patient cohorts; 3) be insensitive to disease severity; and 4) provide diagnostic utility. The overall goal of this study was to identify and validate such a molecular classifier. Methods and Findings: We conducted an observational, non-interventional study of adult patients recruited from tertiary intensive care units (ICU). Biomarker discovery was conducted with an Australian cohort (n = 105) consisting of sepsis patients and post -surgical patients with infection-negative systemic inflammation. Using this cohort, a four-gene classifier consisting of a combination of CEACAM4, LAMP1, PLA2G7 and PLAC8 RNA biomarkers was identified. This classifier, designated SeptiCyte Lab, was externally validated using RT-qPCR and receiver operating characteristic (ROC) curve analysis in five cohorts (n = 345) from the Netherlands. Cohort 1 (n=59) consisted of unambiguous septic cases and infection-negative systemic inflammation controls; SeptiCyte Lab gave an area under curve (AUC) of 0.96 (95% CI: 0.91-1.00). ROC analysis of a more heterogeneous group of patients (Cohorts 2-5; 249 patients after excluding 37 patients with infection likelihood possible) gave an AUC of 0.89 (95% CI: 0.85-0.93). Disease severity, as measured by Sequential Organ Failure Assessment (SOFA) score or the Acute Physiology and Chronic Health Evaluation (APACHE) IV score, was not a significant confounding variable. The diagnostic utility o f SeptiCyte Lab was evaluated by comparison to various clinical and laboratory parameters that would be available to a clinician within 24 hours of ICU admission. SeptiCyte Lab was significantly better at differentiating sepsis from infection-negative systemic inflammation than all tested parameters, both singly and in various logistic combinations. SeptiCyte Lab more than halved the diagnostic error rate compared to PCT in all tested cohorts or cohort combinations. Conclusions: SeptiCyte Lab is a rapid molecular assay that may be clinically useful in the management of ICU patients with systemic inflammation.

Publication Title

A Molecular Host Response Assay to Discriminate Between Sepsis and Infection-Negative Systemic Inflammation in Critically Ill Patients: Discovery and Validation in Independent Cohorts.

Sample Metadata Fields

No sample metadata fields

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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
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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)

fund-icon Fund the CCDL

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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