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accession-icon GSE19460
Cyst formation in the PKD2 (1-703) transgenic rat precedes deregulation of proliferation-related pathways
  • organism-icon Rattus norvegicus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Polycystic Kidney Disease is characterized by the formation of large fluid-filled cysts that eventually destroy the renal parenchyma leading to end-stage renal failure. Although remarkable progress has been made in understanding the pathologic mechanism of the disease, the precise orchestration of the early events leading to cyst formation is still unclear. Abnormal cellular proliferation was traditionally considered to be one of the primary irregularities leading to cyst initiation and growth. Consequently, many therapeutic interventions have focused on targeting this abnormal proliferation, and some have even progressed to clinical trials. However, the role of proliferation in cyst development was primarily examined at stages where cysts are already visible in the kidneys and therefore at later stages of disease development. In this study we focused on the cystic phenotype since birth in an attempt to clarify the temporal contribution of cellular proliferation in cyst development. Using a PKD2 transgenic rat model (PKD2 (1-703)) of different ages (0-60 days after birth) we performed gene expression profiling and phenotype analysis by measuring various kidney parameters. Phenotype analysis demonstrated that renal cysts appear immediately after birth in the PKD2 transgenic rat model (PKD2 (1-703)). On the other hand, abnormal proliferation occurs at later stages of the disease as identified by gene expression profiling. Interestingly, other pathways appear to be deregulated at early stages of the disease in this PKD model. Our data suggest that cystogenesis precedes deregulation of proliferation-related pathways, suggesting that proliferation abnormalities may contribute in cyst growth rather than cyst formation.

Publication Title

Cyst formation in the PKD2 (1-703) transgenic rat precedes deregulation of proliferation-related pathways.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP192834
Transcriptomic of MKD (MUC1 kidney disease) patient compares to normal derived kidney epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

bulk RNAseq of MUC1 kidney disease patient derived kidney epithelial cells compare to normal kidney cells. The goal of this study was to elucidate the biological mechanism underlying MUC1 kidney disease using MUC1 expressing cells derived from either a patient or a healthy individual kidney Overall design: Bulk RNAseq of immortalized patient compare to normal cell line

Publication Title

Small Molecule Targets TMED9 and Promotes Lysosomal Degradation to Reverse Proteinopathy.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE7007
Ewing samples and EWS-FLI-1 inhibited Ewing cell lines
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The cellular origin of Ewing tumor (ET), a tumor of bone or soft tissues characterized by specific fusions between EWS and ETS genes, is highly debated. Through gene expression analysis comparing ETs with a variety of normal tissues, we show that the profiles of different EWS-FLI1-silenced Ewing cell lines converge toward that of mesenchymal stem cells (MSC). Moreover, upon EWS-FLI1 silencing, two different Ewing cell lines can differentiate along the adipogenic lineage when incubated in appropriate differentiation cocktails. In addition, Ewing cells can also differentiate along the osteogenic lineage upon long-term inhibition of EWS-FLI1. These in silico and experimental data strongly suggest that the inhibition of EWS-FLI1 may allow Ewing cells to recover the phenotype of their MSC progenitor.

Publication Title

Mesenchymal stem cell features of Ewing tumors.

Sample Metadata Fields

Specimen part

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accession-icon GSE137985
Mouse limb and respiratory muscle show distinct cachexia profiles in response to human pancreatic tumors
  • organism-icon Mus musculus
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Distinct cachexia profiles in response to human pancreatic tumours in mouse limb and respiratory muscle.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE137979
Mouse limb and respiratory muscle show distinct cachexia profiles in response to human pancreatic tumors II
  • organism-icon Mus musculus
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Background: Cancer cachexia is a life-threatening metabolic syndrome that causes significant loss of skeletal muscle mass and significantly increases mortality in cancer patients. Currently, there is an urgent need for better understanding of the molecular pathophysiology of this disease, so that effective therapies can be developed. Almost all pre-clinical studies evaluating skeletal muscle’s response to cancer have focused on one or two pre-clinical models, and almost all have focused specifically on limb muscles. In the current study, we reveal key differences in the histology and transcriptomic signatures of a limb muscle and a respiratory muscle in orthotopic pancreatic cancer patient-derived xenograft (PDX) mice. Methods: To create the four cohorts of PDX mice evaluated in this study, tumors resected from four pancreatic ductal adenocarcinoma (PDAC) patients were portioned and attached to the pancreas of immunodeficient NSG mice. Results: Body weight, muscle mass, and fat mass were significantly decreased in each PDX line. Histological assessment of cryosections taken from the tibialis anterior (TA) and diaphragm (DIA) revealed differential effects of tumor-burden on their morphology. Subsequent genome-wide microarray analysis on TA and DIA revealed key differences between their transcriptomes in response to cancer as well. Indeed, upregulated genes in the diaphragm were enriched for extracellular matrix (ECM) protein-encoding genes and genes related to the inflammatory response, and downregulated genes were enriched for mitochondria related protein-encoding genes. Conversely, the TA showed upregulation of canonical atrophy-associated pathways such as ubiquitin-mediated protein degradation and apoptosis and enrichment of downregulated genes encoding ECM proteins. Conclusions: These data suggest that distinct biological processes account for wasting in different skeletal muscles in response to the same tumor burden. Further investigation into these differences will be critical for the future development of effective clinical strategies to counter cancer cachexia.

Publication Title

Distinct cachexia profiles in response to human pancreatic tumours in mouse limb and respiratory muscle.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE16223
Prionic protein gene dosage is critical for maintenance of neuronal homeostasis of hippocampal circuits
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina mouse-6 v1.1 expression beadchip

Description

We demonstrate that Prnp dosage is critical for the maintenance of neuronal homeostasis since both its absence and, more relevantly, its overexpression induce higher sensitivity to kainate (KA) damage. These data correlate with electrophysiological results in freely behaving mutant mice showing an imbalance in activity-dependent synaptic processes, as determined from input/output curves, paired-pulse facilitation, and LTP studies. Gene expression profiling showed that 129 genes involved in canonical pathways such as Ubiquitination or Neurotransmission among others were co-regulated in knockout and PrPc overexpressing mice. RT-qPCR analysis of neurotransmission-related genes confirmed GABA-A and AMPA-Kainate receptor subunit transcriptional co-regulation in both Prnp -/- and Tg20 mice. Our results demonstrate that PrPc is necessary for the proper homeostatic functioning of hippocampal circuits, because of its interactions with GABAA and AMPA-Kainate receptors.

Publication Title

Regulation of GABA(A) and glutamate receptor expression, synaptic facilitation and long-term potentiation in the hippocampus of prion mutant mice.

Sample Metadata Fields

Sex

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accession-icon GSE137990
IL-8 released from human pancreatic cancer and tumor associated stromal cells signals through a CXCR2-ERK1/2 axis to induce muscle atrophy
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Serum levels of interleukin-8 (IL-8) are increased in the serum of people with pancreatic cancer and associated with the loss of body weight and low muscle mass. We have identified that systemic (intraperitoneal) injection of IL-8 into mice induces significant skeletal muscle atrophy. Transcriptional profiling of muscle harvested from these same mice identified the genes and biological processes associated with this IL-8 induced atrophy including gene clusters related to chromatin modification, muscle cell differentiation, and ubiquitin ligase complex.

Publication Title

IL-8 Released from Human Pancreatic Cancer and Tumor-Associated Stromal Cells Signals through a CXCR2-ERK1/2 Axis to Induce Muscle Atrophy.

Sample Metadata Fields

Treatment

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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

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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
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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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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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