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accession-icon GSE37662
CEACAM6 is a PDEF induced gene in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Identifying PDEF regulated genes may shed light on the mechanism by which PDEF may induce breast cancer progression. To that purpose, we have used the MCF-7 human breast tumor cell line model to identify PDEF induced genes. Briefly, PDEF expression was down regulated by shRNA in MCF-7 cells and RNA probes from PDEF-down regulated and control MCF-7 cells were used to screen the Affymetrics HG-U133A Gene Chips. This analysis found 62 genes that were induced 2-fold or higher by PDEF. Further analysis of 3 of these genes namely S100A7, CEACAM6 and B7-H4 in primary breast tumors showed CEACAM6 as a frequently elevated and co-exressed gene with PDEF in these tumors.

Publication Title

Prostate derived Ets transcription factor and Carcinoembryonic antigen related cell adhesion molecule 6 constitute a highly active oncogenic axis in breast cancer.

Sample Metadata Fields

Cell line

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accession-icon SRP140823
Characterizing the transcriptomic profile of the cortex within the long-term window of ischemic tolerance mediated by resveratrol preconditioning
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To identify novel genes and adaptations induced by resveratrol preconditioning that could promote long-term cerebral ischemic tolerance. After analyzing the results, we identified only 155 differentially expressed genes among which the majority of genes consisting of 126 were downregulated and only 29 genes were upregulated. The downregulated genes clustered into biological processes involved in regulating the memebrane potential, gene expression regulation, and neurotrasmitter transport secrection. While the upregulated gene included immediate early genes and genes involved in antioxidant defense. Overall design: Mice were subject to an intraperitoneal injection of vehicle or resveratrol (10mg/kg) (n=3 per group), two weeks later their cerebral cortex was collected, RNA was extracted and then sent for sequencing

Publication Title

Resveratrol Preconditioning Induces Genomic and Metabolic Adaptations within the Long-Term Window of Cerebral Ischemic Tolerance Leading to Bioenergetic Efficiency.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP067526
Transcriptomic analysis of human neural progenitor cells differentiation into astrocytes
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

In this study we isolated and cultured neural progenitor cells (NPCs) from human fetal brain collected during the gliogenic phase (second trimester) of aborted fetuses, we differentiated NPCs into astrocyte using different protocols (FBS or CNTF/BMP4) and utilized RNA sequencing to analyze transcriptomic changes underlying the differentiation process Overall design: Neural progenitor cells (NPCs) isolated from 4 different donors (91, 103, 110 and 114 days embryos) were differentiated for 1 week using 2.5% FBS, while 3 NPCs lines (two from 103 and one from 110 days embryo) were differentiated for 1 week in the presence of CNTF/BMP4. RNA was extracted from NPCs before and after differentiation and submitted for sequencing on the Illumina HiSeq 2000 platform

Publication Title

A comparative transcriptomic analysis of astrocytes differentiation from human neural progenitor cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE85487
Effects of IFN-a and IFN-b on ex vivo ATL patient pbmcs
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The data contained in this record are used to differentiate between the effects of IFN-a and IFN-b on 48h cultures of the ex vivo pbmcs of ATL patients, using Affymetrix microarrays (HuGene 1.0).

Publication Title

IFN-β induces greater antiproliferative and proapoptotic effects and increased p53 signaling compared with IFN-α in PBMCs of Adult T-cell Leukemia/Lymphoma patients.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP135489
RNA-seq of circulating human eosinophils before and after oral prednisone administration
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Glucocorticoids are first-line agents for the treatment of many eosinophil-associated disorders. However, their mechanism of action in this group of disorders remains poorly understood, including the well-known clinical observation that glucocorticoids at therapeutic doses lead to profound, transient eosinopenia within hours of administration. To gain an unbiased, genome-wide view of the early transcriptional effects of glucocorticoids on human eosinophils in vivo, and torelate them to the kinetics of glucocorticoid-induced eosinopenia, RNA sequencing was performed on purified blood eosinophils obtained before and 30, 60, and 120 minutes after administration of a single dose of oral prednisone (1 mg/kg) to healthy subjects with hypereosinophilia (hypereosinophilia of unknown significance). Overall design: Three subjects with hypereosinophilia of unknown significance were each given a single dose of oral prednisone, 1 mg/kg. Whole blood was collected before and 30 minutes, 1 hour, and 2 hours after prednisone administration. Eosinophils were purified from each peripheral blood sample. Total RNA was obtained from purified eosinophils and subject to library preparation and high-throughput sequencing.

Publication Title

Transcript- and protein-level analyses of the response of human eosinophils to glucocorticoids.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject, Time

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accession-icon GSE58294
Gene Expression Following Cardioembolic Stroke
  • organism-icon Homo sapiens
  • sample-icon 92 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Blood from subjects with cardioembolic stroke and controls was collected, and the RNA extracted was interrogated and whole genome U133 Affymetrix Arrays. Twenty-three control samples and sixty-nine cardioembolic stroke samples were assayed.

Publication Title

Gene expression in peripheral immune cells following cardioembolic stroke is sexually dimorphic.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE78150
Effect of Human Genetic Variability on Gene Expression in Dorsal Root Ganglia and Association with Pain Phenotypes
  • organism-icon Homo sapiens
  • sample-icon 422 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Effect of Human Genetic Variability on Gene Expression in Dorsal Root Ganglia and Association with Pain Phenotypes.

Sample Metadata Fields

Specimen part

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accession-icon GSE78148
Effect of human genetic variability on gene transcription in dorsal root ganglia and association with pain phenotypes [exon-level]
  • organism-icon Homo sapiens
  • sample-icon 209 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Single nucleotide polymorphisms (SNP) can affect mRNA gene expression, in a tissue-specific manner. In this work we survey association of SNP alleles with mRNA gene expression in human dorsal root ganglions (DRG) to gain insights into pathophysiology of pain phenotypes.

Publication Title

Effect of Human Genetic Variability on Gene Expression in Dorsal Root Ganglia and Association with Pain Phenotypes.

Sample Metadata Fields

Specimen part

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accession-icon GSE77968
Effect of human genetic variability on gene transcription in dorsal root ganglia and association with pain phenotypes [transcript-level]
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Single nucleotide polymorphisms (SNP) can affect mRNA gene expression, in a tissue-specific manner. In this work we survey association of SNP alleles with mRNA gene expression in human dorsal root ganglions (DRG) to gain insights into pathophysiology of pain phenotypes.

Publication Title

Effect of Human Genetic Variability on Gene Expression in Dorsal Root Ganglia and Association with Pain Phenotypes.

Sample Metadata Fields

Specimen part

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accession-icon SRP201011
TREM2 Acts Downstream of CD33 in Modulating Microglial Pathology in Alzheimer's Disease
  • organism-icon Mus musculus
  • sample-icon 73 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

CD33-/- and/or TREM2-/- mice were crossed with the 5xFAD mouse model of Alzheimer's disease to generate single and double CD33/TREM2 knock-out mice on 5xFAD background. Transcriptome and gene expression analyses were performed to analyze the impact of CD33 and/or TREM2 knock-out on the transcriptome of microglia in the context of amyloid pathology. The results revealed that CD33 and/or TREM2 knock-out reprogrammed microglial gene expression signatures in 5xFAD mice in an age-dependent manner. Differential gene expression in 5xFAD;CD33-/- microglia depended on the presence of TREM2. These data suggest that TREM2 acts downstream of CD33. Overall design: Microglia were isolated from brains of WT, 5xFAD, 5xFAD;CD33-/-, 5xFAD;TREM2-/-, and 5xFAD;CD33-/-;TREM2-/- mice at 4 and 8 months of age, using FACS sorting for CD11b and CD45. RNA was extracted using the RNeasy Plus Micro Kit (Qiagen). Libraries were prepared using the TruSeq Stranded mRNA LT Prep Kit (Illumina) and sequenced on an Illumina HiSeq 2500 sequencer using single-end 50. Reads were aligned to mouse genome mm10 using the STAR aligner. Read counts for individual genes were obtained using HTSeq.

Publication Title

TREM2 Acts Downstream of CD33 in Modulating Microglial Pathology in Alzheimer's Disease.

Sample Metadata Fields

Age, Cell line, Subject

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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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