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accession-icon GSE78087
Expression data from Col-0 and hcr1 roots
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.1 ST Array (aragene11st)

Description

Transcript profiling analysis of Hydraulic conductivity of Root 1 (HCR1) mutant compared to wild type (Col-0) using ARABIDOPSIS GENE1.1ST ARRAY STRIP (901793, Affymetrix, Santa Clara, USA).

Publication Title

A Potassium-Dependent Oxygen Sensing Pathway Regulates Plant Root Hydraulics.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE66577
Molecular characterization of diabetic heart of akita
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer, Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cardiac transcriptome profiling of diabetic Akita mice using microarray and next generation sequencing.

Sample Metadata Fields

Specimen part

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accession-icon SRP186906
Comparing two approaches of miR-34a target identification, biotinylated-miRNA pulldown vs miRNA overexpression
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Here we show that biotin-labelled miR-34a can be loaded to AGO2, and AGO2 immunoprecipitation can pulldown biotinylated miR-34a (Bio-miR pulldown). RNA-sequencing (RNA-seq) of the Bio-miR pulldown RNAs efficiently identified miR-34a mRNA targets, which could be verified with luciferase assays. In contrast to the approach of Bio-miR pulldown, RNA-seq of miR-34a overexpression samples had limited value in identifying direct targets of miR-34a. It seems that pulldown of 30 -Biotin-tagged miRNA can identify bona fide microRNA targets at least for miR34a. Overall design: biotin-labelled miR-34a pulldown and RNA sequencing of miR-34a overexpression samples

Publication Title

Comparing two approaches of miR-34a target identification, biotinylated-miRNA pulldown vs miRNA overexpression.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE24986
Response of A549 cells treated with Aspergillus fumigatus
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE24984
Response of A549 cells treated with Aspergillus fumigatus [WT-GC_vs_PrtT-GC]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Response of A549 cells treated with Aspergillus fumigatus wild type germinating conidia (WT_GC) or PrtT protease deficient mutant conidia (PrtT-GC) or inert acrylic 2-4 micron beads (Beads) for 8h

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE24985
Response of A549 cells treated with Aspergillus fumigatus [WT-CF_vs_PrtT-CF]
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Response of A549 cells treated with Aspergillus fumigatus wild type culture filtrate (WT-CF) or PrtT protease deficient mutant culture filtrate (PrtT-CF) for 8h

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE24983
Response of A549 cells treated with Aspergillus fumigatus [WT-CF_vs_WT-GC]
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Response of A549 cells treated with Aspergillus fumigatus germinating conidia (WT-GC) or culture filtrate (WT-CF) for 8h

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE28044
Expression data from non-malignant fallopian tube epithelium
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarrays were used to examine gene expression changes that may be present in the fallopian tube epithelium of morphologically normal BRCA1 mutation positive and negative subjects. Fallopian tube epithelia has been implicated as an early point of origin for serous carcninoma. By examining the early events present in the microenvironment of this tissue between BRCA1 mutation carriers and non-carriers, we hoped to elucidate mechanisms that may lead to the development of epithelial ovarian cancer.

Publication Title

Identification of abrogated pathways in fallopian tube epithelium from BRCA1 mutation carriers.

Sample Metadata Fields

Specimen part

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accession-icon GSE13601
Oral tongue cancer gene expression profiling: Identification of novel potential prognosticators
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Background: The present study is aimed at identifying potential candidate genes as prognostic markers in human oral tongue squamous cell carcinoma (SCC) by large scale gene expression profiling. Methods: The gene expression profile of patients (n=37) with oral tongue SCC were analyzed using Affymetrix HG_U95Av2 high-density oligonucleotide arrays. Hierarchical clustering analyses failed to show significant segregation of patients. In patients (n=20) with available tumor and matched normal mucosa, 77 genes were found to be differentially expressed (P< 0.05) in the tongue tumor samples compared to their matched normal controls. Among the 45 over-expressed genes, MMP-1 encoding interstitial collagenase showed the highest level of increase (average: 34.18 folds). The 20 patients were then grouped into stage (early vs. late) and nodal disease (node positive vs. node negative) subgroups and genes differentially expressed in tumor vs. normal and between the subgroups were identified. Three genes, GLUT3, HSAL2, and PACE4, were selected for their potential biological significance in a larger cohort of 49 patients by quantitative real-time RT-PCR. Results: Using the criterion of two-fold or greater as overexpression, 30.6%, 24.5% and 26.5% of patients showed high levels of GLUT3, HSAL2 and PACE4, respectively. Univariate analyses demonstrated that GLUT3 over-expression correlated with depth of invasion (P<0.0001), tumor size (P=0.024), pathological stage (P=0.009) and recurrence (P=0.038). HSAL2 was positively associated with depth of invasion (P=0.015) and advanced T stage (P=0.0467). In survival studies, only GLUT3 showed a prognostic value with disease-specific (P=0.049), relapse-free (P-0.0042) and overall survival (P=0.003). PACE4 mRNA expression failed to show correlation with any of the relevant parameters. Conclusions: The characterization of genes identified to be significant predictors of prognosis by oligonucleotide microarray and further validation by real-time RT-PCR offers a powerful strategy for identification of novel targets for prognostication and treatment of oral tongue carcinoma.

Publication Title

Oral tongue cancer gene expression profiling: Identification of novel potential prognosticators by oligonucleotide microarray analysis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP066083
Calcineurin-dependent lateral transfer of Aspergillus fumigatus through a VASP tunnel during human macrophage cell death enables control of fungal germination
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We sequenced total RNA from human monocyte derived macrophages (n = 6, healthy donors) pre-treated with calcineurin inhibitor FK506 (10 ng/ml) for 1h and stimulated with live Aspergillus fumigatus swollen conidia (MOI=1) for 1h and 6h. Overall design: We sequenced total RNA from human monocyte derived macrophages from six healthy donors. For each donor, we had six conditions (Unstimulated control, FK506 pre-treated control, 1 hour stimulation with live Aspergillus fumigatus, 1 hour stimulation with live Aspergillus fumigatus with FK506 pre-treatment, 6 hour stimulation with live Aspergillus fumigatus, 6 hour stimulation with live Aspergillus fumigatus with FK506 pre-treatment. In total we analysed 36 samples (6 healthy donors with 6 conditions).

Publication Title

Calcineurin Orchestrates Lateral Transfer of Aspergillus fumigatus during Macrophage Cell Death.

Sample Metadata Fields

No sample metadata fields

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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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