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accession-icon GSE34569
Gene expression data from myocardial infarction porcine samples
  • organism-icon Sus scrofa
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The use of cDNA microarrays has made it possible to analyze expression of thousands of genes simultaneously. We employed microarray gene expression profiling of porcine cDNA to compare myocardial gene expression in infarct core and remote myocardium at 1 week (n=3), 4 weeks (n=3), and 6 weeks (n=3) after surgically induced myocardial infarction (MI) and in sham-operated controls (n=3). More than 8,000 cDNA sequences were identified in myocardium that showed differential expression in response to MI. Different temporal and spatial patterns of gene expression were recognized in the infarct core tissue within this large set of data. Microarray gene profiling revealed candidate genes, some of them described for the first time, which elucidate changes in biological processes at different stages after MI.

Publication Title

Identification of temporal and region-specific myocardial gene expression patterns in response to infarction in swine.

Alternate Accession IDs

E-GEOD-34569

Sample Metadata Fields

Sex, Specimen part, Treatment, Time

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accession-icon GSE37935
Identification of Sp1 targets involved in proliferation and cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Sp1 is a transcription factor able to regulate many genes through its DNA binding domain, containing three zinc fingers. We were interested in identifying target genes regulated by Sp1, with a special emphasis to those involved in proliferation and cancer. Our approach was to treat HeLa cells with a siRNA directed against Sp1 mRNA (siSp1) to decrease the expression of Sp1 and, in turn, the genes activated by this transcription factor. Sp1 siRNA treatment led to a great number of differentially expressed genes as determined by whole genome cDNA microarray analysis. Underexpressed genes were selected since they represent putative genes activated by Sp1. These underexpressed genes were classified in six Gene Onthology categories, namely proliferation and cancer, mRNA processing, lipidic metabolism, glucidic metabolism, transcription and translation. Putative Sp1 binding sites were found in the promoters of the selected genes using the MatchTM software. After literature mining, 11 genes were selected for further validation of their expression levels using RT-real time PCR. Underexpression was confirmed for the 11 genes plus Sp1 in HeLa cells after siSp1 treatment. Additionally, EMSA and chromatin immunoprecipitation assays were performed to test for binding between Sp1 and the promoters of these genes. We observed binding of Sp1 to the promoters of RAB20, FGF21, IHPK2, ARHGAP18, NPM3, SRSF7, CALM3, PGD and Sp1 itself. Finally, the mRNA levels of RAB20, FGF21 and IHPK2, three genes related with proliferation and cancer, were determined after overexpression of Sp1 in HeLa cells, to confirm their relationship with Sp1.

Publication Title

Identification of novel Sp1 targets involved in proliferation and cancer by functional genomics.

Alternate Accession IDs

E-GEOD-37935

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE44076
Gene expression data from healthy, adjacent normal and tumor colon cells
  • organism-icon Homo sapiens
  • sample-icon 246 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Gene expression profiles of paired normal adjacent mucosa and tumor samples from 98 individuals and 50 healthy colon mucosae, were obtained through Affymetrix Human Genome U219 Arrays. This dataset is in the context of the COLONOMICS project and to query additional information you can visit the project website www.colonomics.org.

Publication Title

Discovery and validation of new potential biomarkers for early detection of colon cancer.

Alternate Accession IDs

E-GEOD-44076

Sample Metadata Fields

Sex, Age, Disease, Subject

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accession-icon GSE33486
Expression profiling of Notch constitutive activation induced HCC in mice
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Notch intracellular domain (NICD) is the active form of the Notch receptor. In this mouse model, NICD is inserted in the Rosa26 locus downstream of a loxP-STOP-LoxP (lsl) sequence and therefore NICD expression is dependant on Cre recombinase expression. These mice are crossed with the AFP-Cre strain that expresses Cre in hepatoblasts due to its regulation by the AFP promoter and albumin enhancer. Mice from 6 to 12 months are sacrificed and liver RNA samples from control monotransgenic Rosa26-lsl-NICD and confirmed HCC lesions from bitransgenic AFP-Cre/Rosa26-lsl-NICD (AFP-NICD) are obtained. Exon expression profiling of these samples are submitted.

Publication Title

Notch signaling is activated in human hepatocellular carcinoma and induces tumor formation in mice.

Alternate Accession IDs

E-GEOD-33486

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE20361
Dynamic changes during adaptation to estrogen deprivation in MCF7 cell line
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Endocrine therapies targeting the proliferative effect of 17-estradiol (17E2) through estrogen receptor (ER) are the most effective systemic treatment of ER-positive breast cancer. However, most breast tumors initially responsive to these therapies develop resistance through a molecular mechanism that is not yet fully understood. The long-term estrogen-deprived (LTED) MCF7 cell model has been proposed to recapitulate acquired resistance to aromatase inhibitors (AIs) in postmenopausal women. To elucidate this resistance, genomic, transcriptomic and molecular data were integrated into the time course of MCF7-LTED adaptation. Dynamic and widespread genomic changes were observed, including amplification of the ESR1 locus consequently linked to an increase in ER. Dynamic transcriptomic profiles were also observed that correlated significantly with genomic changes and were influenced by transcription factors known to be involved in acquired resistance or cell proliferation (e.g. IRF1 and E2F1, respectively) but, notably, not by canonical ER transcriptional function. Consistently, at the molecular level, activation of growth factor signaling pathways by EGFR/ERBB/AKT and a switch from phospho-Ser118 (pS118)- to pS167-ER were observed during MCF7-LTED adaptation. Evaluation of relevant clinical settings identified significant associations between MCF7-LTED and breast tumor transcriptome profiles that characterize ER-negative status, early response to letrozole and recurrence after tamoxifen treatment. This study proposes a mechanism for acquired resistance to estrogen deprivation that is coordinated across biological levels and independent of canonical ER function.

Publication Title

Biological reprogramming in acquired resistance to endocrine therapy of breast cancer.

Alternate Accession IDs

E-GEOD-20361

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE73571
TUMOR INITIATING CELLS AND IGF/FGF SIGNALING CONTRIBUTE TO SORAFENIB RESISTANCE IN HEPATOCELLULAR CARCINOMA
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

OBJECTIVE: Sorafenib is effective in hepatocellular carcinoma (HCC), but patients ultimately present disease progression. Molecular mechanisms underlying acquired resistance are still unknown. Herein, we characterize the role of tumor-initiating cells (T-ICs) and signaling pathways involved in sorafenib resistance. DESIGN: HCC xenograft mice treated with sorafenib (n=22) were explored for responsiveness (n=5) and acquired resistance (n=17). Mechanism of acquired resistance were assessed by: 1) Role of T-ICs by in vitro sphere formation and in vivo tumorigenesis assays using NOD/SCID mice, 2) Activation of alternative signaling pathways and 3) Efficacy of anti-FGF and anti-IGF drugs in experimental models. Gene expression (microarray, qRT-PCR) and protein analyses (immunohistochemistry, western blot) were conducted. A novel gene signature of sorafenib resistance was generated and tested in 2 independent cohorts. RESULTS: Sorafenib-acquired resistance tumors showed significant enrichment of T-ICs (164 cells needed to create a tumor) vs. sorafenib-sensitive tumors (13400 cells) and non-treated tumors (1292 cells), p<0.001. Tumors with sorafenib-acquired resistance were enriched with IGF and FGF signaling cascades (FDR<0.05). In vitro, cells derived from sorafenib-acquired resistant tumors and two sorafenib-resistant HCC cell lines were responsive to IGF or FGF inhibition. In vivo, FGF blockade delayed tumor growth and improved survival in sorafenib-resistant tumors. A sorafenib-resistance 175-gene signature was characterized by enrichment of progenitor-cell features, aggressive tumoral traits and predicted poor survival in 2 cohorts (n=442 HCC patients). CONCLUSION: Acquired resistance to sorafenib is driven by tumor initiating cells with enrichment of progenitor markers and activation of IGF and FGF signaling. Inhibition of these pathways would benefit a subset of patients after sorafenib progression.

Publication Title

Tumour initiating cells and IGF/FGF signalling contribute to sorafenib resistance in hepatocellular carcinoma.

Alternate Accession IDs

E-GEOD-73571

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE63898
DNA methylation-based prognosis and epidrivers in hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 396 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Genome-wide expression analysis of 228 hepatocellular carcinoma and 168 cirrhotic samples as part of a integrated study of gene expression and DNA-methylation de-regulation in patients with hepatocellular carcinoma

Publication Title

DNA methylation-based prognosis and epidrivers in hepatocellular carcinoma.

Alternate Accession IDs

E-GEOD-63898

Sample Metadata Fields

Sex, Specimen part, Disease, Subject

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accession-icon GSE18517
Gene expression profiling in Al-tolerant and Al-sensitive soybean under aluminum stress
  • organism-icon Glycine max
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

Gene expression profiling in soybean under aluminum stress: genes differentially expressed between Al-tolerant and Al-sensitive genotypes.

Publication Title

Mechanisms of magnesium amelioration of aluminum toxicity in soybean at the gene expression level.

Alternate Accession IDs

E-GEOD-18517

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE18518
Gene expression profiling in soybean under aluminum stress: mechanisms of magnesium amelioration of aluminum toxicity
  • organism-icon Glycine max
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

Gene expression profiling in soybean under aluminum stress: mechanisms of magnesium amelioration of aluminum toxicity at gene expression level.

Publication Title

Mechanisms of magnesium amelioration of aluminum toxicity in soybean at the gene expression level.

Alternate Accession IDs

E-GEOD-18518

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE18423
Soybean transcriptome response to aluminum stress in roots of Al-tolerant genotype (PI 416937): time course
  • organism-icon Glycine max
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

Gene expression profiling in soybean under aluminum stress: Transcriptome response to Al stress in roots of Al-tolerant genotype (PI 416937).

Publication Title

Identification of Aluminum Responsive Genes in Al-Tolerant Soybean Line PI 416937.

Alternate Accession IDs

E-GEOD-18423

Sample Metadata Fields

Specimen part

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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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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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