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accession-icon SRP182665
The contribution of adenosine receptor 3-mediated signaling to TLR4-induced responses by human dendritic cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Human dendritic cells were exposed to LPS, in the absence and presence of adenosine receptor 3 inhibitor Overall design: 4 donors, 4 experimental conditions. VUF concentration used was 5 µM, LPS was 500 ng/ml. Exposure times were 6 hours

Publication Title

TLR-Induced IL-12 and CCL2 Production by Myeloid Cells Is Dependent on Adenosine A<sub>3</sub> Receptor-Mediated Signaling.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE25612
Circadian regulation in rat Lung
  • organism-icon Rattus norvegicus
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Circadian rhythms are oscillations with a periodicity of 24 hours that are controlled by an endogenous clock and are observed in virtually all aspects of mammalian function from expression of genes to complex physiological processes. The master clock is present in the suprachiasmatic nucleus (SCN) in the anterior part of the hypothalamus and controls peripheral clocks present in other parts of the body . Although much is known about the mechanism of the central clock in the SCN, the regulation of clocks present in peripheral tissues is still unclear. This study is designed to examine fluctuations in gene expression in lungs within the 24 hour circadian cycle in normal animals. The objectives of this study is to identify and analyze circadian oscillation in gene expression in lungs, and to identify the role of circadian regulation in coordinating the functioning of this dynamic organ.

Publication Title

Light-dark oscillations in the lung transcriptome: implications for lung homeostasis, repair, metabolism, disease, and drug action.

Sample Metadata Fields

Specimen part

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accession-icon GSE20635
Circadian regulation in rat abdominal adipose tissue
  • organism-icon Rattus norvegicus
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Circadian rhythms are oscillations with a periodicity of 24 hours that are controlled by an endogenous clock and are observed in virtually all aspects of mammalian function from expression of genes to complex physiological processes. The master clock is present in the suprachiasmatic nucleus (SCN) in the anterior part of the hypothalamus and controls peripheral clocks present in other parts of the body. Although much is known about the mechanism of the central clock in the SCN, the regulation of clocks present in peripheral tissues is still unclear. This study is designed to examine fluctuations in gene expression in abdominal white adipose tissue within the 24 hour circadian cycle in normal animals. The objectives of this study is to identify and analyze circadian oscillation in gene expression in white adipose tissue, and to identify the role of circadian regulation in coordinating the functioning of this dynamic tissue.

Publication Title

Circadian variations in gene expression in rat abdominal adipose tissue and relationship to physiology.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE2600
Anaplasma phagocytophilum infected NB4 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

THREE INDEPENDENT REPLICATES AND ARE THE CONTROL NON-INFECTED CELLS:

Publication Title

Modulation of NB4 promyelocytic leukemic cell machinery by Anaplasma phagocytophilum.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP212107
Sleep Deprivation Alters the Pituitary Stress Transcriptome in male and female Mice
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

We performed a comparative, whole-transcriptome, analysis to identify stress-induced genes and relevant pathways that may be affected by sleep deprivation. Methods: One day following 12 hours of Paradoxical Sleep Deprivation (PSD), mice were restrained for 20 minutes. Gene expression changes in the pituitary were assessed via RNA-Seq and Gene Ontology in PSD and/or restrained groups compared to controls. Results: We show that restraint triggers transcriptional responses involved in hormone secretion, the glucocorticoid response, and apoptosis in both sexes, with 285 differentially expressed genes in females and 93 in males. When PSD preceded restraint stress, the numbers of differentially expressed genes increased to 613 in females and 580 in males. The pituitary transcriptome of restraint+PSD animals was enriched for microglia and macrophage proliferation, cellular response to corticosteroids, and apoptosis, among others. Finally, we show sex-specific differences in restraint-induced genes following PSD. Conclusion: The results indicate striking differences in the male and female stress-induced transcriptome, as well as in the PSD-induced changes. When PSD preceded the restraint stress challenge, the effects on the pituitary transcriptome were striking. While the male and female PSD + restraint-induced transcriptome was similar, we detected remarkable differences, perhaps indicating different strategies used by each sex to cope with challenges to homeostasis. We hope that these data illuminate future research elucidating how sleep deprivation impacts the vital response to stress and motivate the analysis of male and female subjects when designing experiments. Overall design: Gene expression changes in the pituitary were assessed via RNA-Seq and Gene Ontology in Paradoxical Sleep Deprivation and/or restrained groups compared to controls.

Publication Title

Sleep Deprivation Alters the Pituitary Stress Transcriptome in Male and Female Mice.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon GSE45483
HMGA1: A master regulator of tumor progression in triple-negative breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Emerging evidence suggests that tumor cells metastasize by co-opting stem cell transcriptional networks, although the molecular underpinnings of this process are poorly understood. Here, we show for the first time that the high mobility group A1 (HMGA1) gene drives metastatic progression in triple negative breast cancer cells (MDA-MB-231) by reprogramming cancer cells to a stem-like state. We discovered an HMGA1 signature in triple negative breast cancer cells that is highly enriched in embryonic stem cells. Together, these findings indicate that HMGA1 is a master regulator of tumor progression in breast cancer by reprogramming cancer cells through stem cell transcriptional networks. Future studies are needed to determine how to target HMGA1 in therapy.

Publication Title

HMGA1: a master regulator of tumor progression in triple-negative breast cancer cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP004837
Altered antisense-to-sense transcript ratios in breast cancer: ASSAGE
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

Transcriptome profiling studies suggest that a large fraction of the genome is transcribed and many transcripts function independent of their protein coding potential. The relevance of noncoding RNAs (ncRNAs) in normal physiological processes and in tumorigenesis is increasingly recognized. Here, we describe consistent and significant differences in the distribution of sense and antisense transcripts between normal and neoplastic breast tissues. Many of the differentially expressed antisense transcripts likely represent long ncRNAs. A subset of genes that mainly generate antisense transcripts in normal but not cancer cells is involved in essential metabolic processes. These findings suggest fundamental differences in global RNA regulation between normal and cancer cells that might play a role in tumorigenesis. Overall design: Global strand-specific transcriptome profilings of 2 samples in cancer and 1 sample in normal from clinical breast tissue using asymmetrical strand-specific analysis of gene expression (ASSAGE).

Publication Title

Altered antisense-to-sense transcript ratios in breast cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP026537
Transcriptional profiling of a breast cancer cell line panel using RNAseq technology
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

56 breast cancer cell lines were profiled to identify patterns of gene expression associated with subtype and response to therapeutic compounds. Overall design: Cell lines were profiled in their baseline, unperturbed state.

Publication Title

Modeling precision treatment of breast cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE23568
Expression data analyzing ID3 (Inhibitor of DNA binding 3)-affected mouse T cells
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mouse CD8+ T cells affected by ID3 (Inhibitor of DNA binding 3) display patterns of gene expression suggesting enhanced persistance and survival. In this study, we identified genes differentially expressed between ID32a transduced and mock transduced, and ID32a knockout and wild type mouse CD8+ T cells. Most prominent functions of differentially expressed genes include DNA replication-associated repair, maintenance of chromosome stability and mitotic cell divison machinery. Overall, these data suggest that ID3 acts in favor of maintained survival in CD8+ mouse T cells.

Publication Title

Repression of the DNA-binding inhibitor Id3 by Blimp-1 limits the formation of memory CD8+ T cells.

Sample Metadata Fields

Treatment

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accession-icon SRP032789
mRNA-sequencing of breast cancer subtypes and normal tissue
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Goal: To define the digital transcriptome of three breast cancer subtypes (TNBC, Non-TNBC, and HER2-positive) using RNA-sequencing technology. To elucidate differentially expressed known and novel transcripts, alternatively spliced genes and differential isoforms and lastly expressed variants in our dataset. Method: Dr. Suzanne Fuqua (Baylor College of Medicine) provided the human breast cancer tissue RNA samples. All of the human samples were used in accordance with the IRB procedures of Baylor College of Medicine. The breast tumour types, TNBC, Non-TNBC and HER2-positive, were classified on the basis of immunohistochemical and RT-qPCR classification. Results: Comparative transcriptomic analyses elucidated differentially expressed transcripts between the three breast cancer groups, identifying several new modulators of breast cancer. We discovered subtype specific differentially spliced genes and splice isoforms not previously recognized in human transcriptome. Further, we showed that exon skip and intron retention are predominant splice events in breast cancer. In addition, we found that differential expression of primary transcripts and promoter switching are significantly deregulated in breast cancer compared to normal breast. We also report novel expressed variants, allelic prevalence and abundance, and coexpression with other variation, and splicing signatures. Additionally we describe novel SNPs and INDELs in cancer relevant genes with no prior reported association of point mutations with cancer Overall design: mRNA profiles of 17 breast tumor samples of three different subtypes (TNBC, non-TNBC and HER2-positive) and normal human breast organoids (epithelium) samples (NBS) were sequenced using Illumina HiSeq.

Publication Title

Novel insights into breast cancer genetic variance through RNA sequencing.

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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