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accession-icon GSE141512
Expression data for patients with myocardial infarction (MI) vs healthy patients
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Myocardial infarction (MI) is one of the most severe manifestations of coronary artery disease (CAD) and the leading cause of death from non-infectious diseases worldwide. It is known, that the central component of CAD pathogenesis is a chronic vascular inflammation. However, the mechanisms underlying the changes that occur in T, B and NK-lymphocytes, monocytes and other immune cells during CAD and MI are still poorly understood. One of those pathogenic mechanisms might be the dysregulation of intracellular signaling pathways in the immune cells.

Publication Title

Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signature.

Sample Metadata Fields

Sex, Specimen part, Disease stage

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accession-icon GSE102176
mRNA content of extracellular vesicles, microvesicles and exosomes derived from human H9 embryonic stem cells in culture
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Extracellular vesicles released from cultured H9 cells were fractionated by differential ultracentrifugation and their total RNA were isolated for microarray analysis.

Publication Title

Human embryonic stem cells extracellular vesicles and their effects on immortalized human retinal Müller cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE74057
Snail1 controls fibroblast action on tumor cell invasion and metastasis [MSC]
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Snail1 transcriptional factor is essential for triggering epithelial-to-mesenchymal transition (EMT) and inducing tumor cell invasion. We report here that Snail1 plays also a key role in tumor associated fibroblasts since is necessary for enhancement by these cells on epithelial cells tumor invasion. Snail1 expression in fibroblast requires signals derived from tumor cells such as TGF-b; reciprocally, in fibroblasts Snail1 organizes a complex program that favors collective invasion of epithelial cells at least in part by the secretion of diffusible signaling molecules, such as prostaglandin E2. The capability of human or murine tumor-derived cancer associated fibroblasts to promote tumor invasion is associated to Snail1 expression and obliterated by Snail1 depletion. In vivo experiments show that tumor cells co-transplanted with Snail1 depleted fibroblasts show lower invasion than those xenografted with control fibroblasts. Finally Snail1 depletion in mice prevents the formation of breast tumors and decreased their invasion. Therefore, these results demonstrate that the role of Snail1 in tumor invasion is not limited to its effect in EMT but dependent on its expression in stromal fibroblasts where it orchestrates its activation and the crosstalk with epithelial cells.

Publication Title

Snail1-Dependent Activation of Cancer-Associated Fibroblast Controls Epithelial Tumor Cell Invasion and Metastasis.

Sample Metadata Fields

Specimen part

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accession-icon GSE24422
Effect of insulin on the stromal and adipocyte cells within hMSC derived adipocytes
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

There are an estimated 21million diabetics in the United States and 150 million diabetics worldwide. The World Health Organization anticipates that these numbers will double in the next 20 years. Metabolic syndrome is a well recognized set of symptoms that increases a patients risk of developing diabetes. Insulin resistance is a factor in both metabolic syndrome and Type 2 diabetes. It is characterized by decreased insulin stimulated glucose uptake in peripheral tissues, decreased adiponectin levels, increased adipocyte FFA and cytokine production, and increased insulin and hepatic glucose output. Prevention or reversal of insulin resistance should serve as an important strategy in addressing the growing health concerns posed by the Diabetes epidemic. While increased adiposity is associated with insulin resistance, the role of the cell types present within adipose (adipocytes, pre-adipocytes, endothelial cells, macrophages, fibroblasts, leukocytes and smooth muscle cells) in insulin resistance is unclear. In an effort to begin dissection of this question, we examined the transcriptional response of the buoyant and non-buoyant fractions isolated from insulin sensitive or TNF induced insulin resistant hMSC derived adipocytes before and after treatment with insulin.

Publication Title

Genome-wide profiling of H3K56 acetylation and transcription factor binding sites in human adipocytes.

Sample Metadata Fields

Specimen part

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accession-icon GSE102046
Transcriptomic analysis of in vitro-generated human monocyte-derived cells
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

We analyzed the transcriptomes of human dendritic cells and macrophages derived from monocytes using MCSF + IL-4 + TNFa, or IL-34 + IL-4 + TNFa, or dendritic cells derived from monocytes using GMCSF + IL-4.

Publication Title

Aryl Hydrocarbon Receptor Controls Monocyte Differentiation into Dendritic Cells versus Macrophages.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP117082
Single-cell RNA-seq analysis of human CD14+ monocytes
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed single-cell RNA-seq on CD14+ monocytes isolated from the blood of healthy donors. Using the 10x chromium technology, we analyzed 425 and 431 cells from 2 individual donors. Overall design: Peripheral Blood Mononuclear Cells (PBMC) were prepared by centrifugation on a Ficoll gradient. Blood CD14+ monocytes were isolated from healthy donors' PBMC by positive selection using magnetic beads. Monocytes were 93-95% CD14+CD16- as assessed by flow cytometry. Cellular suspensions (1700 cells) were loaded on a 10X Chromium instrument (10X Genomics) according to manufacturer's protocol.

Publication Title

Aryl Hydrocarbon Receptor Controls Monocyte Differentiation into Dendritic Cells versus Macrophages.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP159651
Single-cell RNA-seq analysis of human tonsil CD4 T cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed single-cell RNA-seq on CD4 T cells isolated from the tonsils of one healthy donor. We used the 10x chromium technology. Overall design: Tonsil CD4 T cells were enriched by negative selection using magnetic beads. Cell populations (CXCR5+PD-1low T cells, CXCR5+PD-1int T cells and CXCR5+PD-1high T cells ) were further isolated by cell sorting. Cellular suspensions (3500 cells) were loaded on a 10X Chromium instrument (10X Genomics) according to manufacturer's protocol.

Publication Title

Human lymphoid organ cDC2 and macrophages play complementary roles in T follicular helper responses.

Sample Metadata Fields

Subject

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accession-icon SRP159650
Single-cell RNA-seq analysis of human tonsil CD14+ cells
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed single-cell RNA-seq on CD14+ cells isolated from the tonsils of one healthy donor. We used the 10x chromium technology. Overall design: Tonsil phagocytes were prepared by centrifugation on a Ficoll gradient. Dendritic cells and macrophages were enriched by negative selection using magnetic beads. Cell populations were further isolated by cell sorting. Cellular suspensions (3500 cells) were loaded on a 10X Chromium instrument (10X Genomics) according to manufacturer's protocol.

Publication Title

Human lymphoid organ cDC2 and macrophages play complementary roles in T follicular helper responses.

Sample Metadata Fields

Subject

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accession-icon GSE98277
High-Throughput Drug Screening identifies Pazopanib and Clofilium tosylate as effective treatments for malignant rhabdoid tumors
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

We used microarrays to compared gene re-expression of SMARCB1 in I2A SMARCB1-deficient rhabdoid tumor cell line.

Publication Title

High-Throughput Drug Screening Identifies Pazopanib and Clofilium Tosylate as Promising Treatments for Malignant Rhabdoid Tumors.

Sample Metadata Fields

Specimen part

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accession-icon GSE11651
Transcriptomic profiling of five industrial wine yeast strains at three time points during allcoholic fermentation
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Our study involves a transcriptomic approach to the analysis of industrial yeast metabolism. Historically, among the hundreds of yeast species, Saccharomyces cerevisiae has played an important role in scientific investigations and industrial applications, and it is universally acknowledged as one of the model systems for eukaryotic organisms. Yeast is also an important component of the wine fermentation process and determines various attributes of the final product.

Publication Title

Linking gene regulation and the exo-metabolome: a comparative transcriptomics approach to identify genes that impact on the production of volatile aroma compounds in yeast.

Sample Metadata Fields

Time

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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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