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accession-icon GSE94417
An integrative transcriptomic and clinical score for mortality prediction in severe alcoholic hepatitis treated with corticosteroids
  • organism-icon Homo sapiens
  • sample-icon 195 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE103580
Transcriptome profiles of liver biopsy tissues from patients with various stages of alcoholic liver disease
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Corticosteroids are the current standard of care to improve short-term mortality in severe alcoholic hepatitis (AH), although nearly 40% of the patients do not respond and accurate pre-treatment predictors are lacking. We developed 123-gene prognostic score based on molecular and clinical variables before initiation of corticosteroids. Furthermore, The gene signature was implemented in an FDA-approved platform (NanoString), and verified for technical validity and prognostic capability. Here we demonstrated that a Nanostring-based gene expressoin risk classification is useful to predict mortality in patients with severe alcoholic hepatitis who were treated by corticosteroid

Publication Title

Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE94397
Transcriptome profiles of liver biopsy tissues from sever alcoholic hepatitis patients (derivation cohort)
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Corticosteroids are the current standard of care to improve short-term mortality in severe alcoholic hepatitis (AH), although nearly 40% of the patients do not respond and accurate pre-treatment predictors are lacking. We developed 123-gene prognostic score based on molecular and clinical variables before initiation of corticosteroids. Furthermore, The gene signature was implemented in an FDA-approved platform (NanoString), and verified for technical validity and prognostic capability. Here we demonstrated that a Nanostring-based gene expressoin risk classificatoin is useful to predict mortality in patients with severe alcoholic hepatitis who were treated by corticosteroid

Publication Title

Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE94399
Transcriptome profiles of liver biopsy tissues from sever alcoholic hepatitis patients (validation cohort, Brussels)
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Corticosteroids are the current standard of care to improve short_term mortality in severe alcoholic hepatitis (AH), although nearly 40% of the patients do not respond and accurate pre_treatment predictors are lacking. We developed 123_gene prognostic score based on molecular and clinical variables before initiation of corticosteroids. Furthermore, The gene signature was implemented in an FDA_approved platform (NanoString), and verified for technical validity and prognostic capability. Here we demonstrated that a Nanostring_based gene expressoin risk classificatoin is useful to predict mortality in patients with severe alcoholic hepatitis who were treated by corticosteroid

Publication Title

Combination of Gene Expression Signature and Model for End-Stage Liver Disease Score Predicts Survival of Patients With Severe Alcoholic Hepatitis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE57531
c-Jun promotes cell migration and drives expression of the motility factor ENPP2 in soft tissue sarcomas
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

c-Jun promotes cell migration and drives expression of the motility factor ENPP2 in soft tissue sarcomas.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE57529
c-Jun promotes cell migration and drives expression of the motility factor ENPP2 in soft tissue sarcomas [array]
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Affymetrix exon arrays to identify genes that were differentially expressed after c-Jun inhibition in LPS cell line with and with no Jun amplification.

Publication Title

c-Jun promotes cell migration and drives expression of the motility factor ENPP2 in soft tissue sarcomas.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP041846
c-Jun promotes cell migration and drives expression of the motility factor ENPP2 in soft tissue sarcomas [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We assayed the effect of c-Jun overexpression on gene expression in the three DDLPS cell lines using RNA-Seq (Illumina). Overall design: 141, LPS12 and 510 has been overexpressed with c-Jun or control c-DNA and results were analyzed in high-througput sequencing metadata.

Publication Title

c-Jun promotes cell migration and drives expression of the motility factor ENPP2 in soft tissue sarcomas.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP166449
RNA-Seq analysis of skin from bleomycin induced scleroderma murine models treated with EHP-101 or Ajulemic acid
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Several lines of evidence have shown that the endocannabinoid system (ECS) may play a role in the pathophysiology of systemic sclerosis (SSc). Thereby, structurally different dual PPAR?/CB2 agonists such as VCE-004.8 and Ajulemic acid (AjA) have been shown to alleviate skin fibrosis and inflammation in experimental models of SSc. Since both compounds are currently being tested in humans, we were interested to identify similarities and differences in a murine model of SSc. One method available to assess this is the pharmacotranscriptomic signature of the individual compounds. To analyze the pharmacotranscriptomic signature, we used RNA-Seq to analyze the skin gene expression changes from bleomycin-induced fibrosis in mice treated orally with either AjA or EHP-101, a lipidic formulation of VCE-004.8. While both compounds prevented the upregulation of a common group of genes involved in the inflammatory and fibrotic components of the disease and the pharmacotranscriptomic signatures were similar for both compounds in some pathways, we found key differences between the compounds in several functional groups, including genes related the hypoxia, interferon-a and interferon-? response. Additionally, we found 28 specific genes with translation potential by comparing our results with a list of intrinsic human scleroderma genes. Inmunohistochemical analysis revealed that both EHP-101 and AjA prevented bleomycin-induced skin fibrosis, collagen accumulation, and TNC and VCAM expression. However, only EHP-101 normalized the reduced expression of vascular CD31, CD34 and Von Willebrand factor markers, which parallels skin fibrosis, while AjA did not affect these markers. Finally, clear differences were also found in the plasmatic biomarker analysis, in which we found that EHP-101, but not AjA, enhanced the expression of some factors related to angiogenesis and vasculogenesis. Altogether the results indicate that dual PPAR?/CB2 agonists qualify as a novel therapeutic approach for the treatment of SSc and other fibrotic diseases as well, and that EHP-101 has unique mechanisms of action related to the pathophysiology of SSc which could be beneficial in treatment of this complex disease with no current therapeutic options. Overall design: RNA-Seq profiles were generated for six- to eight-week-old female BALB/c mice in four conditions: Control, Bleomycin, Bleomycin + EHP-101 treatment and Bleomycin + Ajulemic acid treatment. Please note that the "raw_counts_newsamples.txt" includes raw counts obtained from featureCounts for the samples included in this entry and the "raw_counts_merged.txt" includes raw counts obtained from merging the counts of the samples from this entry with the counts of the samples from the GSE115503 entry.

Publication Title

Cannabinoid derivatives acting as dual PPARγ/CB2 agonists as therapeutic agents for systemic sclerosis.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE6867
Expression data in the absence of Notch1 in hair follicles
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Notch1 deficient hair matrix keratinocytes have lower mitotic rates, resulting in smaller follicles with fewer cells. In addition, the ratio of melanocytes to keratinocytes is greatly reduced. Microarray was performed to study downstream mechanism of Notch1-deficiency

Publication Title

Bi-compartmental communication contributes to the opposite proliferative behavior of Notch1-deficient hair follicle and epidermal keratinocytes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE77919
ALS-causing mutations differentially affect PGC-1alpha expression and function in the brain vs. peripheral tissues
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Amyotrophic later sclerosis is a motor neuron disease accompanied by metabolic changes. PGC (PPAR gamma coactivator)-1alpha is a master regulator of mitochondrial biogenesis and function and of critical importance for all metabolically active tissues. PGC-1alpha is a genetic modifier of ALS.

Publication Title

ALS-causing mutations differentially affect PGC-1α expression and function in the brain vs. peripheral tissues.

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)

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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