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accession-icon GSE2473
Small RNA biogenesis mutants
  • organism-icon Arabidopsis thaliana
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Inflorescence stages 1 to 12 from mutants involved in Arabidopsis small RNA metabolism. Three biological replicates of each mutant comprising at least 9 independent plants were harvested, and the expression profiles were determined using Affymetrix ATH1 arrays. Comparisons among the sample groups allow the identification of genes regulated by small RNAs (microRNAs and siRNAs).

Publication Title

microRNA-directed phasing during trans-acting siRNA biogenesis in plants.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE30848
Muscle wasting and the temporal gene expresion pattern in a novel rat ICU model
  • organism-icon Rattus norvegicus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Acute quadriplegic myopathy (AQM) or critical illness myopathy (CIM) is frequently observed in intensive care unit (ICU) patients. In order to elucidate duration-dependent effects of the ICU intervention on molecular and functional networks that control the muscle wasting and weakness in AQM, gene expression profile was analyzed at time points varying from 6 hours to 14 days in a unique experimental rat model mimicking ICU conditions, i.e., post-synaptically paralyzed, mechanically ventilated and extensively monitored animals.

Publication Title

Muscle wasting and the temporal gene expression pattern in a novel rat intensive care unit model.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage

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accession-icon GSE15103
PAX3-FKHR regulated genes differentially expressed between alveolar and embryonal rhabdomyosarcoma
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The overall goal and objective is to study the degree to which PAX3-FKHR accounts for differences between ARMS and ERMS by expressing a construct (termed P3FK/ER) consisting of PAX3-FKHR joined to the estrogen receptor ligand binding domain in an ERMS cell culture system.

Publication Title

Identification of PAX3-FKHR-regulated genes differentially expressed between alveolar and embryonal rhabdomyosarcoma: focus on MYCN as a biologically relevant target.

Sample Metadata Fields

Cell line

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accession-icon SRP073683
Guided self-organization recapitulates tissue architecture in a bioengineered brain organoid model
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Engineered brain organoids (enCORs) exhibit reproducible neural differentiation and forebrain regionalization. Overall design: Comparison of transcriptomes from bioengineered micropatterned enCORs and spheroids at 20 days and 60 days

Publication Title

Guided self-organization and cortical plate formation in human brain organoids.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE36683
Gene Regulation by Estrogen Signaling and DNA Methylation in MCF7 Breast Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Estrogen signaling and epigenetic modifications, in particular DNA methylation, are involved in regulation of gene expression in breast cancers. Here we investigated a potential regulatory cross-talk between these two pathways by identifying their common target genes and exploring potential underlying molecular mechanisms in human MCF7 breast cancer cells. Principal Findings: Gene expression profiling revealed that the expression of approximately 150 genes was influenced by both 17-estradiol (E2) and a hypomethylating agent 5-aza-2-deoxycytidine (DAC). Based on gene ontology (GO), CpG island prediction analysis and previously reported estrogen receptor (ER) binding regions, we selected six genes for further analysis (BTG3, FHL2, PMAIP1, BTG2, CDKN1A and TGFB2). GO analysis suggests that these genes are involved in intracellular signaling cascades, regulation of cell proliferation and apoptosis, while CpG island prediction of promoter regions reveals that the promoters of these genes contain at least one CpG island. Using chromatin immunoprecipitation, we show that ER is recruited to CpG islands in promoters, but neither in an E2- nor in a DAC-dependent fashion. DAC treatment reactivates the expression of all selected genes although only the promoters of BTG3 and FHL2 genes are methylated, with E2 treatment showing no effect on the methylation status of these promoters. Conclusions: We identified a set of genes regulated by both estrogen signaling and DNA methylation. However, our data does not support a direct molecular interplay of mediators of estrogen and epigenetic signaling at promoters of regulated genes.

Publication Title

Global identification of genes regulated by estrogen signaling and demethylation in MCF-7 breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE74194
Muscle Transcriptome Profile of Resistance Exercise is Augmented by Aerobic Exercise
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

10 male subjects performed ~45 min one-legged cycling and 4 x 7 maximal concentric-eccentric knee extensions for each leg 15 min later. Thus, one limb performed aerobic and resistance exercise (AE+RE), while the opposing leg did resistance exercise only (RE). Biopsies were obtained from m. vastus lateralis of each leg 3 h after the resistance exercise bout.

Publication Title

Aerobic exercise augments muscle transcriptome profile of resistance exercise.

Sample Metadata Fields

Sex, Specimen part, Treatment, Subject

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accession-icon GSE31642
Expression profile in wild type, fkh2delta and fkh2-S2A mutants
  • organism-icon Schizosaccharomyces pombe
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Mitotic entry is accompanyed by the expression of a cluster of so called mitotic genes, whose activation is critical for mitosis in human and yeast cells. We found a link between the transcription machinery and cell cycle control network at mitosis in fission yeast, involving the Cdk8 kinase dependent phosphorylation of the fork head transcription factor Fkh2. We have generated a non-phosphorylatable fkh2 mutant (fkh2-S2A) also.

Publication Title

Cyclin-dependent kinase 8 regulates mitotic commitment in fission yeast.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18331
A phenotype-based model for rational selection of novel targeted therapies in treating aggressive breast cancer
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Treating unselected cancer patients with new drugs dilutes proof of efficacy when only a fraction of patients respond to therapy. We conducted a meta-analysis on eight primary breast cancer microarray datasets representing diverse breast cancer phenotypes. We present a high-throughput protocol which incorporates drug sensitivity signatures to guide preclinical testing for effective therapeutic agents. Specifically, we focus on drug classes currently undergoing early phase clinical testing. Our genomic and experimental results suggest that the majority of basal-like breast cancers should respond to inhibitors of the phosphatidylinositol-3-kinase pathway, and that a relatively low toxicity histone deacetylase inhibitor, valproic acid, may target aggressive breast cancers. For a subset of drugs, prediction of sensitivity associates with tumor recurrence, suggesting clinical relevance. Preclinical studies using both cell lines and patient tumors grown in 3-dimensional in vitro and orthotopic in vivo preclinical models provide an efficient and highly relevant assessment of drug sensitivity in tumor phenotypes, and validate our genomic analyses. Together, our results show that high-throughput transcriptional profiling can significantly impact drug selection for breast cancer patients. Pre-identification of patient response may not only improve therapeutic response rates, it can also assist in quickly identifying the optimal inclusion criteria for clinical trials. Our model facilitates personalized drug therapy for cancer patients and may be generalized for study of drug efficacy in other diseases.

Publication Title

A pharmacogenomic method for individualized prediction of drug sensitivity.

Sample Metadata Fields

Specimen part

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accession-icon GSE8987
Expression data from buccal and nasal epithelium of current and never smokers
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Smoking is the leading cause of lung cancer death, although only a small percentage of smokers develop the disease. Cigarette smoke exposure is known to cause a field of injury in cells throughout the respiratory tract, and while these airway epithelial cells are morphologically normal, they can undergo genetic alterations in response to cigarette smoke exposure.

Publication Title

Smoking-induced gene expression changes in the bronchial airway are reflected in nasal and buccal epithelium.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP066818
Activation of the IGF1 pathway mediates changes in cellular contractility and motility in single-suture craniosynostosis
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We examined the effect pg IGF1 actibation on cellular contractility and migration in SSC osteoblast cells. Based on microarray levels of IGF1 expression, we selected fifteen cases and nine controls spanning from the highest IGF1 expression to the lowest in cases and controls. Subsequently, the pattern of IGF1 expressions in these cells was assessed using high throughput RNA sequencing. Overall design: RNA-seq based gene expression profiling of fifteen SSC osteoblasts and nine control osteoblasts.

Publication Title

Activation of the IGF1 pathway mediates changes in cellular contractility and motility in single-suture craniosynostosis.

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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