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accession-icon GSE7275
Evaluation of murine mast cells derived exosomal RNA versus their parental cells MC/9.
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Exosomes are vesicles of endocytic origin released by many types of cells into the extracellular environment. In an attempt to further examine the exosome-mediated cellular communication, we show that exosomes from a mouse mast cell line (MC/9), exosomes from primary bone marrow derived mast cells, and exosomes from a human mast cell line (HMC-1) contain RNA but not DNA.

Publication Title

Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE25320
Characterisation of mRNA and microRNA in human mast cell exosomes and their transfer to other mast cells and blood CD34 progenitor cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Exosomes are nanovesicles of endocytic origin believed to be involved in communication between cells. Recently, it has been shown that mast cell exosomes contain RNA named "exosomal shuttle RNA". The aim of this study was to evaluate whether exosomal shuttle RNA could play a role in the communication between human mast cells and between human mast cells and human CD34 positive progenitor cells. Results: Exosomes from the human mast cell line HMC-1 contain RNA. The exosomes contain no or very little ribosomal RNA compared to their donor cells. The mRNA and microRNA content in exosomes and their donor cells was examined using microarray analyses. We found 116 microRNA in the exosomes and 134 microRNA in the cells, from which some were expressed at different level. DNA microarray experiments revealed the presence of approximately 1800 mRNAs in the exosomes, which represent 15% of the donor cell mRNA content. Transfer experiments revealed that exosomes and their RNA can transfer to other HMC-1 cells and to CD34 positive progenitors. Conclusions: To conclude, HMC-1 exosomes contain mRNA and microRNA that can be transferred to other mast cells and to CD34 progenitors. This shuttle of exosomal RNA may represent a powerful mode of communication between cells where cells send genetic information to other cells over a distance via exosomes.

Publication Title

Characterization of mRNA and microRNA in human mast cell-derived exosomes and their transfer to other mast cells and blood CD34 progenitor cells.

Sample Metadata Fields

Cell line

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accession-icon GSE48378
PBMCs from patients with Sjgren's syndrome and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Sjgren's syndrome is an autoimmune disease manifesting primarily as dryness of eyes and mouth. In this study, we compared gene expression in PBMCs between age- and gender-matched patients with Sjgren's syndrome (diagnosed by ACR criteria) and healthy controls. Cells were collected in heparinized tubes and PBMCs were prepared using Ficoll.

Publication Title

Expression of the immune regulator tripartite-motif 21 is controlled by IFN regulatory factors.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE8065
Gene expression during early postnatal development of the small intestine
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

It was the purpose to analyse the changes in gene expression which occur in the mouse small intestine from the pre-weaning to the post-weaning stage. The gene expression was accordingly followed from postnatal day 4 to postnatal day 32.

Publication Title

Cellular cross talk in the small intestinal mucosa: postnatal lymphocytic immigration elicits a specific epithelial transcriptional response.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE103746
Identification and validation of single sample breast cancer radiosensitivity gene expression predictors
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification and validation of single-sample breast cancer radiosensitivity gene expression predictors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE103744
Identification and validation of single sample breast cancer radiosensitivity gene expression predictors [Illumina HT12 v4 data]
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Purpose

Publication Title

Identification and validation of single-sample breast cancer radiosensitivity gene expression predictors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE27916
Human subcutaneous adipose tissue gene expression (SOS Sib-pair study, offspring cohort)
  • organism-icon Homo sapiens
  • sample-icon 374 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Obesity has considerable effects on morbidity and mortality, and the prevalence of obesity has been increasing rapidly worldwide during the past two decades. Even if obesity affects the entire individual, adipose tissue plays a central role in the development of obesity. Expression profiling of adipose tissue may give insights into the mechanisms contributing to obesity and obesity-related disorders.

Publication Title

Adipose tissue resting energy expenditure and expression of genes involved in mitochondrial function are higher in women than in men.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE35710
Human s.c adipose tissue gene expression during diet-induced weight loss
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Obesity has considerable effects on morbidity and mortality and the prevalence of obesity has been increasing rapidly worldwide during the past two decades. Even if obesity affects the entire individual, adipose tissue play a central role in the development of obesity. Expression profiling of adipose tissue may give insights into mechanisms contributing to obesity and obesity-related disorders.

Publication Title

Adipose tissue resting energy expenditure and expression of genes involved in mitochondrial function are higher in women than in men.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE83586
Molecular classification of bladder cancer: global mRNA classification versus tumor cell phenotype classification.
  • organism-icon Homo sapiens
  • sample-icon 303 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In this study gene expression profiles for 307 cases of advanced bladder cancers were compared to molecular phenotype at the tumor cell level. TUR-B tissue for RNA extraction was macrodissected from the close vicinity of the tissue sampled for immunohistochemistry to ensure high-quality sampling and to minimize the effects of intra-tumor heterogeneity. Despite excellent agreement between gene expression values and IHC-score at the single marker level, broad differences emerge when samples are clustered at the global mRNA versus tumor cell (IHC) levels. Classification at the different levels give different results in a systematic fashion, which implicates that analysis at both levels is required for optimal subtype-classification of bladder cancer.

Publication Title

Molecular classification of urothelial carcinoma: global mRNA classification versus tumour-cell phenotype classification.

Sample Metadata Fields

Specimen part

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accession-icon GSE46077
Identification of Hipk2 as an essential regulator of white fat development
  • organism-icon Mus musculus
  • sample-icon 113 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Homeodomain interacting protein kinase 2 (Hipk2) has previously been implicated in control of several transcription factors involved in embryonic development, apoptosis, cell proliferation and tumour development13. Analysis of gene expression in tissues from genetically heterogeneous mouse or human populations can reveal motifs associated with the structural or functional components of the tissue, and may predict roles for genes of unknown function4,5. Here we have applied this network strategy to uncover a novel role for the Hipk2 gene in the transcriptional system controlling adipogenesis. Both in vitro and in vivo models were used to show that knockdown or loss of Hipk2 specifically inhibits white adipose cell differentiation and tissue development. In addition, loss of Hipk2 leads to induction of pockets of multilocular brown fat-like cells in remaining white adipose depots. These cells express markers of brown and beige fat such as uncoupling protein 1 (Ucp1) and transmembrane protein 26 (Tmem26), and thermogenic genes including PPAR- coactivator 1a (Ppargc1a), and cell death-inducing DFFA-like effector a (Cidea). These changes are accompanied by increased insulin sensitivity in Hipk2 knock-out mice and reduced high fat diet-induced weight gain, highlighting a potential role for this kinase in diseases such as diabetes and obesity. Our study underscores the versatility and power of a readily available tissue, such as skin, for network modelling of systemic transcriptional programs involved in multiple pathways, including lipid metabolism and adipogenesis.

Publication Title

Identification of Hipk2 as an essential regulator of white fat development.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
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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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