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accession-icon GSE50682
Genome-wide transcription profile of CpG-activated peritoneal macrophages
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To compare up-regulation of genes following CpG activation, we performed microarray analysis of activated macrophages from B6 and F1(B6xMOLF) mouse strains. Cells were activated for 0, 2 and 4 hrs with 200nM of type B CpG. Levels of mRNA for many genes differened dramatically between the strains

Publication Title

Mannose receptor 1 mediates cellular uptake and endosomal delivery of CpG-motif containing oligodeoxynucleotides.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE65660
TCF1 is required for the differentiation of T follicular helper (TFH) cells during viral infections
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

TFH and Th1 cells generated after viral or intracellular bacterial infections are critical for the control of infections and the development of immunological memories. However, the mechanisms that govern the choice of activated CD4 T cells to the two alternative fates remain unclear. Here, we found that reciprocal expression of TCF1 and Blimp1 between viral-specific TFH and Th1 cells started early after infection. TCF1 was intrinsically required for the differentiation of TFH cells. In the absence of TCF1, TFH cells failed to maintain their transcriptional and metabolic signatures, distinct from those in Th1 cells. Mechanistically, TCF1 functioned through forming negative feedback loops with IL-2 and Blimp1 signaling. Thus, we have demonstrated an essential role of TCF1 in TFH-cell differentiation.

Publication Title

TCF1 Is Required for the T Follicular Helper Cell Response to Viral Infection.

Sample Metadata Fields

Specimen part

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accession-icon GSE63358
Expression data from invariant natural killer T (iNKT) cells in spleen and adipose tissue
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Adipose tissue iNKT cells have different functions than iNKT cells in the blood and other organs.

Publication Title

Regulatory iNKT cells lack expression of the transcription factor PLZF and control the homeostasis of T(reg) cells and macrophages in adipose tissue.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP158425
Assessment of a highly multiplexed RNA sequencing platform and comparison to existing high-throughput gene expression profiling techniques [3pDGE]
  • organism-icon Homo sapiens
  • sample-icon 95 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

In this study, we report the performance of one such technique denoted as sparse full length sequencing (SFL), a ribosomal RNA depletion-based RNA sequencing approach that allows for the simultaneous sequencing of 96 samples and higher. We offer comparisons to well established single-sample techniques, including: full coverage Poly-A capture RNA-seq and microarray, as well as another low-cost highly multiplexed technique known as 3' digital gene expression (3' DGE). Data was generated for a set of exposure experiments on immortalized human lung epithelial (AALE) cells in a two-by-two study design, in which samples received both genetic and chemical perturbations of known oncogenes/tumor suppressors and lung carcinogens. SFL demonstrated improved performance over 3' DGE in terms of coverage, power to detect differential gene expression, and biological recapitulation of patterns of differential gene expression from in vivo lung cancer mutation signatures. Overall design: 3' Digital Gene Expression (3'DGE) for immortalized human bronchial epithelial cells (AALE) exposed to chemical and genotypic perturbations

Publication Title

Assessment of a Highly Multiplexed RNA Sequencing Platform and Comparison to Existing High-Throughput Gene Expression Profiling Techniques.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE6878
Expression data from human liver cells
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

PCB congener specific oxidative stress response by microarray analysis using human liver cell line.

Sample Metadata Fields

Age

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accession-icon GSE6494
Expression data from human liver cell line induced by PCB153
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Exposure to Polychlorobiphenyls (PCBs) is known to cause serious health effects in human but the gene expression profiles leading to development of differnet diseases is not fully understood. The knowledge of global gene expression will help us to devlop early diagnostic biomarkers for PCB induced health effects.

Publication Title

PCB congener specific oxidative stress response by microarray analysis using human liver cell line.

Sample Metadata Fields

Age

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accession-icon GSE6869
Expression data from human liver cell line induced by PCB77
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Exposure to Polychlorobiphenyls (PCBs) is known to cause serious health effects in human but the gene expression profiles leading to development of different diseases is not fully understood. The knowledge of global gene expression will help us to develop early diagnostic biomarkers for PCB induced health effects.

Publication Title

PCB congener specific oxidative stress response by microarray analysis using human liver cell line.

Sample Metadata Fields

Age

View Samples
accession-icon GSE56843
Steroid Receptor Coactivator 1 is an Integrator of Glucose and NAD(+)/NADH Homeostasis
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SRC-1 affects the expression of complex I of the mitochondrial electron transport chain, a set of enzymes responsible for the conversion of NADH to NAD(+). NAD(+) and NADH were subsequently identified as metabolites that underlie SRC-1's response to glucose deprivation. Knockdown of SRC-1 in glycolytic cancer cells abrogated their ability to grow in the absence of glucose consistent with SRC-1's role in promoting cellular adaptation to reduced glucose availability

Publication Title

Steroid receptor coactivator 1 is an integrator of glucose and NAD+/NADH homeostasis.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE60438
Transcriptome profiling of deciduas from pre-eclamptic and normotensive pregnancies
  • organism-icon Homo sapiens
  • sample-icon 125 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Genome-wide analysis of decidual transcriptome in pre-eclampsia compared with normotensive controls to find differentially expressed genes/pathways.

Publication Title

Genome-wide transcriptome directed pathway analysis of maternal pre-eclampsia susceptibility genes.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE81838
Gene expression anlaysis of laser-capture microdissected tumor and stroma from triple negative breast cancer
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

LCM was perfomed on adjacent tumor and stromal cells to identify differentially expressed genes in triple negative breast cancer.

Publication Title

Refinement of Triple-Negative Breast Cancer Molecular Subtypes: Implications for Neoadjuvant Chemotherapy Selection.

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)

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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