refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 77 results
Sort by

Filters

Technology

Platform

accession-icon GSE29883
Deregulated apoptosis signaling in core binding factor leukemia differentiates clinically relevant, molecular marker independent subgroups
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Core binding factor (CBF) leukemias, characterized by translocations t(8;21) or inv(16)/t(16;16) targeting the core binding factor, constitute acute myeloid leukemia (AML) subgroups with favorable prognosis. However, about 40% of patients relapse, and the current classification system does not fully reflect this clinical heterogeneity. Previously, gene expression profiling (GEP) revealed two distinct CBF leukemia subgroups displaying significant outcome differences and identified apoptotic signaling, MAPKinase signaling and chemotherapy-resistance mechanisms among the most significant differentially regulated pathways. We now tested different inhibitors of the respective pathways in a cell line model (six cell lines reflecting the CBF subgroup specific gene expression alterations), and found apoptotic signaling to be differentiating between the CBF subgroup models. In accordance, primary samples from newly diagnosed CBF AML patients (n=23) also showed differential sensitivity to in vitro treatment with a Smac mimetic such as BV6, an antagonist of inhibitor of apoptosis (IAP) proteins , and ABT-737, a BCL2 inhibitor. Furthermore, GEP revealed the BV6 resistant cases to resemble the previously identified unfavorable CBF subgroup. Thus, our current findings show deregulated IAP expression and apoptotic signaling to differentiate clinically relevant CBF subgroups, which were independent of known molecular markers, thereby providing a starting point for novel therapeutic approaches.

Publication Title

Deregulated apoptosis signaling in core-binding factor leukemia differentiates clinically relevant, molecular marker-independent subgroups.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE43258
PRAME induced inhibition of retinoic acid receptor signaling-mediated differentiation - a possible target for ATRA response in AML without t(15;17)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: In acute myeloid leukemia (AML) without retinoic acid receptor (RAR) rearrangement the effect of all-trans retinoic acid (ATRA) is still poorly understood despite an association of NPM1 mutation and ATRA response. Recently, PRAME (preferentially expressed antigen in melanoma) has been shown to be a dominant repressor of RAR-signaling. Experimental design: Thus, we further investigated ATRA response mechanisms, especially the impact of PRAME expression on ATRA-responsiveness by profiling gene expression in K562 cell lines. Results: Our data revealed a PRAME-expression associated gene pattern to be significantly enriched for genes involved in the retinoic acid metabolic process. In leukemia cell line models we could demonstrate that retinoic acid-regulated cell proliferation and differentiation are impacted by PRAME expression. Conclusions: PRAME seems to impair differentiation and to increase proliferation likely via blocking RAR-signaling, which might be reversed by ATRA.

Publication Title

PRAME-induced inhibition of retinoic acid receptor signaling-mediated differentiation--a possible target for ATRA response in AML without t(15;17).

Sample Metadata Fields

Treatment

View Samples
accession-icon GSE39730
Altered miRNA and gene expression in acute myeloid leukemia with complex karyotype identify networks of prognostic relevance
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Recently, the p53-miR-34a network was identified to play an important role in tumorigenesis. As in acute myeloid leukemia with complex karyotype (CK-AML) TP53 alterations are the most common known molecular lesion, we further analyzed the p53-miR-34a axis in CK-AML with known TP53 status. Clinically, low miR-34a expression and TP53 alterations predicted for chemotherapy resistance and inferior outcome. Notably, in TP53unaltered CK-AML high miR-34a expression predicted for inferior overall survival (OS), whereas in TP53biallelic altered CK-AML high miR-34a expression pointed to better OS.

Publication Title

Altered miRNA and gene expression in acute myeloid leukemia with complex karyotype identify networks of prognostic relevance.

Sample Metadata Fields

Disease

View Samples
accession-icon GSE94601
Molecular profiling of 159 primary lung carcinomas
  • organism-icon Homo sapiens
  • sample-icon 159 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Molecular profiling of 159 lung cancers of different histological subtypes. A primary objective is to identify gene expression differences between histological subtypes. Sample overlap exist with GSE60644

Publication Title

Gene Expression Profiling of Large Cell Lung Cancer Links Transcriptional Phenotypes to the New Histological WHO 2015 Classification.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE32592
Human and mouse lupus nephritis cross-species transcriptional analysis
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 75 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), (ffymetrixgenechipmousegenome4302.0array[cdf:mmentrezg10)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis.

Sample Metadata Fields

Specimen part, Disease, Subject

View Samples
accession-icon GSE37463
Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis
  • organism-icon Homo sapiens
  • sample-icon 110 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

Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE32591
Expression data from human with lupus nephritis (LN)
  • organism-icon Homo sapiens
  • sample-icon 75 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), (ffymetrixgenechipmousegenome4302.0array[cdf:mmentrezg10)

Description

Nephritis (LN) is a serious manifestation of SLE. Therapeutic studies in mouse LN models do not always predict outcomes of human therapeutic trials, raising concerns about the human relevance of these models. In this study we used an unbiased transcriptional network approach to define similarities and differences between three lupus models and human LN. Affymetrix-based expression profiles were analyzed using Genomatix Bibliosphere software and transcriptional networks were compared using the Tool for Approximate LargE graph matching (TALE). The 20 network hubs (nodes) shared between all three models and human LN reflect key pathologic processes, namely immune cell infiltration/activation, macrophage/dendritic cell activation, endothelial cell activation/injury and tissue remodeling/fibrosis. Each model also shares unique features with human LN. Pathway analysis of the TALE nodes highlighted macrophage/DC activation as a cross-species shared feature. To distinguish which genes and activation pathways might derive from mononuclear phagocytes in the human kidneys the gene expression profile of isolated NZB/W renal mononuclear cells was compared with human LN kidney profiles. Network analysis of the shared signature highlighted NFkappaB1 and PPARgamma as major hubs in the tubulointerstitial and glomerular networks respectively. Key nodes in the renal macrophage inflammatory response form the basis for further mechanistic and therapeutic studies.

Publication Title

Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis.

Sample Metadata Fields

Specimen part, Disease, Subject

View Samples
accession-icon GSE37455
Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis[Tubulointerstitial]
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression data from human with hypertensive nephropathy (HT)

Publication Title

Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE34164
Expression data from isolated peritoneal macrophages treated with Histidine-rich glycoprotein
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Histidine-rich glycoprotein (HRG) is a 75 kDa heparin-binding plasma protein which has been implicated in regulation of tumor angiogenesis and growth. To exert some of its biological functions, HRG acts on macrophages.This study was performed to assess changes in gene expression in peritoneal macrophages treated with HRG using oligonucleotide microarrays

Publication Title

Genetic deficiency in plasma protein HRG enhances tumor growth and metastasis by exacerbating immune escape and vessel abnormalization.

Sample Metadata Fields

Specimen part, Disease, Treatment, Time

View Samples
accession-icon GSE6764
Genome-wide molecular profiles of HCV-induced dysplasia and hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiles of 75 tissue samples were analyzed representing the stepwise carcinogenic process from pre-neoplastic lesions (cirrhosis and dysplasia) to HCC, including four neoplastic stages (very early HCC to metastatic tumors) from patients with HCV infection. Gene signatures that accurately reflect the pathological progression of disease at each stage were identified and potential molecular markers for early diagnosis uncovered. Pathway analysis revealed dysregulation of the Notch and Toll-like receptor pathways in cirrhosis, followed by deregulation of several components of the Jak/STAT pathway in early carcinogenesis, then up-regulation of genes involved in DNA replication and repair and cell cycle in late cancerous stages.

Publication Title

Genome-wide molecular profiles of HCV-induced dysplasia and hepatocellular carcinoma.

Sample Metadata Fields

No sample metadata fields

View Samples
...

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact