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accession-icon GSE52403
Dose- and time- dependent ionizing ratidation effect on mice peripheral blood
  • organism-icon Mus musculus
  • sample-icon 536 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Gene expression profiles of peripheral blood samples from C57BL/6 mice exposed with ionizing radiation.

Publication Title

Biological pathway selection through Bayesian integrative modeling.

Sample Metadata Fields

Sex, Specimen part, Treatment, Time

View Samples
accession-icon GSE469
Temporal profiling in muscle regeneration.
  • organism-icon Mus musculus
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Array (mgu74a)

Description

Temporal expression profiling was utilized to define transcriptional regulatory pathways in vivo in a mouse muscle regeneration model. Potential downstream targets of MyoD were identified by temporal expression, promoter data base mining, and gel shift assays; Slug and calpain 6 were identified as novel MyoD targets. Slug, a member of the snail/slug family of zinc finger transcriptional repressors critical for mesoderm/ectoderm development, was further shown to be a downstream target by using promoter/reporter constructs and demonstration of defective muscle regeneration in Slug null mice.

Publication Title

Slug is a novel downstream target of MyoD. Temporal profiling in muscle regeneration.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE36618
Mechanisms of terminal erythroid differentiation defect in EKLF-deficient mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

EKLF is a Krppel-like transcription factor identified as a transcriptional activator and chromatin modifier in erythroid cells. EKLF-deficient (Eklf -/-) mice die at day 14.5 of gestation from severe anemia. In this study, we demonstrate that early progenitor cells fail to undergo terminal erythroid differention in Eklf -/- embryos. To discover potential EKLF target genes responsible for the failure of erythropoiesis, transcriptional profiling was performed with RNA from wild type and Eklf -/- early erythroid progenitor cells. These analyses identified significant perturbation of a network of genes involved in cell cycle regulation, with the critical regulator of the cell cycle, E2f2, at a hub. E2f2 mRNA and protein levels were markedly decreased in Eklf -/- early erythroid progenitor cells, which showed a delay in the G1-to-S-phase transition. Chromatin immunoprecipitation analysis demonstrated EKLF occupancy at the proximal E2f2 promoter in vivo. Consistent with the role of EKLF as a chromatin modifier, EKLF binding-sites in the E2f2 promoter were located in a region of EKLF-dependent DNase I sensitivity in early erythroid progenitor cells. We propose a model in which EKLF-dependent activation and modification of the E2f2 locus is required for cell cycle progression preceding terminal erythroid differentiation.

Publication Title

Failure of terminal erythroid differentiation in EKLF-deficient mice is associated with cell cycle perturbation and reduced expression of E2F2.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE3185
Human Glioblastoma
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Summary: Astrocytomas can be categorized as either low grade or high grade (glioblastoma). Low grade astrocytomas are not generally aggressive tumors whereas glioblastomas are and in turn have a high mortality rate. The purpose of this experiment is to identify genetic differences between the two types.

Publication Title

Overexpression of the EGFR/FKBP12/HIF-2alpha pathway identified in childhood astrocytomas by angiogenesis gene profiling.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE29598
A Methodology for Utilization of Predictive Genomic Signatures in FFPE Samples
  • organism-icon Homo sapiens
  • sample-icon 117 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Purpose: Gene expression signatures developed to measure the activity of oncogenic signaling pathways have been used to dissect the heterogeneity of tumor samples and to predict sensitivity to various cancer drugs that target components of the relevant pathways, thus potentially identifying therapeutic options for subgroups of patients. To facilitate broad use, including in a clinical setting, the ability to generate data from formalin-fixed, paraffin-embedded (FFPE) tissues is essential. Experimental Design: Patterns of pathway activity in matched fresh-frozen and FFPE xenograft tumor samples were generated using the MessageAmp Premier methodology in combination with assays using Affymetrix arrays. Results generated were compared with those obtained from fresh-frozen samples using a standard Affymetrix assay. In addition, gene expression data from patient matched fresh-frozen and FFPE melanomas were also utilized to evaluate the consistency of predictions of oncogenic signaling pathway status. Results: Significant correlation of pathway activity predictions was observed between paired fresh-frozen and FFPE xenograft tumor samples. In addition, significant concordance of pathway activity predictions was also observed between patient matched fresh-frozen and FFPE melanomas. Conclusion: Reliable and consistent predictions of oncogenic pathway activities can be obtained from FFPE tumor tissue samples. The ability to reliably utilize FFPE patient tumor tissue samples for genomic analyses will lead to a better understanding of the biology of disease progression and, in the clinical setting, will provide tools to guide the choice of therapeutics to those most likely to be effective in treating a patients disease.

Publication Title

A methodology for utilization of predictive genomic signatures in FFPE samples.

Sample Metadata Fields

Specimen part

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accession-icon GSE23593
Intratumor Heterogeneity and Precision of Microarray-Based Predictors of Breast Cancer Biology and Clinical Outcome
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genome-wide expression profiling was performed on 50 core needle biopsies from 18 breast cancer patients using Affymetrix GeneChip Human Genome Plus 2.0 Arrays.

Publication Title

Intratumor heterogeneity and precision of microarray-based predictors of breast cancer biology and clinical outcome.

Sample Metadata Fields

Disease, Disease stage, Subject

View Samples
accession-icon GSE3593
Genomic approach to refine prognosis for adjuvant therapy in early stage non-small cell lung carcinoma
  • organism-icon Homo sapiens
  • sample-icon 198 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Abstract from paper - Potti A, et al

Publication Title

A genomic strategy to refine prognosis in early-stage non-small-cell lung cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9212
Overexpression of lung developmental transcription factors TTF-1, NKX2-8 and PAX9
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We investigated the clinical implications of lung developmental transcription factors (TTF-1, NKX2-8, and PAX9) which we recently discovered as cooperating oncogenes activated by way of gene amplification at chromosome 14q13 in lung cancer. Using stable transfectants of human bronchial epithelial cells, RNA expression profiles (signatures) representing activation of the biological pathways defined by each of the three genes were determined and used to risk stratify a non-small cell lung cancer (NSCLC) clinical dataset consisting of ninety-one early stage tumors. Co-activation of the TTF-1 and NKX2-8 pathways identified a cluster of patients with poor survival, representing approximately 20% of patients with early stage NSCLC, whereas activation of individual pathways did not reveal significant prognostic power. Importantly, the poor prognosis associated with co-activation of TTF-1 and NKX2-8 was validated in two other independent clinical datasets. Further, lung cancer cell lines showing co-activation of the TTF-1 and NKX2-8 pathways were shown to exhibit resistance to cisplatin, the standard of care for the treatment of NSCLC. Since TTF-1 and NKX2-8 lack specific inhibitors at the current time, we explored an alternative therapeutic strategy. Using signatures of signaling pathway activation, we identified deregulation of specific oncogenic pathways (Ras and Myc) in the TTF-1/NKX2-8 co-activated cohort.

Publication Title

Characterizing the developmental pathways TTF-1, NKX2-8, and PAX9 in lung cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE52322
Novel linkages between DCE-MRI and genomic profiling in locally advanced and inflammatory breast cancer
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression signatures have the capacity to identify clinically significant features of breast cancer and can predict which individual patients are likely to be resistant to neoadjuvant therapy, thus providing the opportunity to guide treatment decisions.

Publication Title

Gene expression profiles of multiple breast cancer phenotypes and response to neoadjuvant chemotherapy.

Sample Metadata Fields

Specimen part

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accession-icon GSE3143
Breast Cancer Dataset
  • organism-icon Homo sapiens
  • sample-icon 158 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Signatures of Oncogenic Pathway Deregulation in Human Cancers.

Publication Title

Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

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)

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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