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accession-icon GSE13494
Expression data from Human Saliva Exosomes
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Exosomes are molecular entities derived from membrane vesicles of endocytic origin secreted by most cell types. These vesicles are implicated in cell-to-cell communication, deliver proteins and mRNA molecules between cells. Recent studies have shown that exosomes are found in body fluids such as saliva, blood, urine, amniotic fluid, malignant ascites, bronchoalveolar lavage fluid, synovial fluids and breast milk. Exosomes secreted through human saliva contain mRNA may potentially be useful for diagnostic purposes. Although the exact protective mechanism of saliva RNA is a topic of debate, the consensus is that the enrichment of mRNAs in these nano-vesicles in one of the features of the biomarker discoveries. Our aim was to determine if exosomes are present in human saliva and to nano-characterize their transcriptomic content. Exosomes were purified by differential ultracentrifugation, identified by immunoelectron microscopy, flow cytometry and western blot using a CD-63 antibody. Atomic force microscopy studies revealed ultra structural analysis of both size and density of exosomes. Microarray analysis revealed the presence of 590 mRNA core transcripts are relatively stable inside the exosomes, which can be of saliva mRNA biomarkers. Exosomal mRNA stability was determined by detergent lyses with treatment of RNase. Under in vitro conditions fluorescent dye labeled saliva exosomes were able to communicate between human oral keratinocytes studied by using fluorescence microscopy. The RNA from saliva exosomes can transfer their genetic information to human oral keratinocytes and alters gene expression in the new location. Together, these results suggest that saliva is involved in mRNA trafficking via exosomes, and provides a mechanism for cargoing passenger mRNAs. Our findings are consistent with proposal that exosomes can shuttle RNAs between cells and mRNA is protected inside these vesicles may be a possible resource for biomarker discovery.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE36970
KDM4B- and KDM6B-regulated genes in human mesenchymal stem cell osteogenic differentiation
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To investigate how histone demethylases KDM4B and KDM6B may be involved in osteogenic commitment of mesenchymal stem cells (MSCs), we performed gene expression profiling and comparison on control, KDM4B- and KDM6B-knockdown MSCs at different stages of osteogenic differentiation.

Publication Title

Histone demethylases KDM4B and KDM6B promotes osteogenic differentiation of human MSCs.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE83818
Expression data from KDM3A knockdown MDA-MB-231 cells
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Breast cancer invasive growth, metastasis and therapeutic resistance affects the clinical ourcome. We explored the epigenetic mechanisms that control these process in breast cancer cell line, MDA-MB-231 by knocking down a lysine specific demethylase KDM3A

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE64770
Expression Profiling In HMDP (high-fat/high-sucrose diet)
  • organism-icon Mus musculus
  • sample-icon 872 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a), Illumina MouseRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genetic architecture of insulin resistance in the mouse.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE70353
Subcutaneous adipose tissue gene expression from men that are part of the METSIM study
  • organism-icon Homo sapiens
  • sample-icon 770 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

We analyzed samples from 770 male human subjects who are part of the METSIM study. Ethics Committee of the Northern Savo Hospital District approved the study. All participants gave written informed consent. The population-based cross-sectional METSIM study included 10 197 men, aged from 45 to 73 years, who were randomly selected from the population register of the Kuopio town in eastern Finland (population 95000). Every participant had a 1-day outpatient visit to the Clinical Research Unit at the University of Kuopio, including an interview on the history of previous diseases and current drug treatment and an evaluation of glucose tolerance and cardiovascular risk factors. After 12 h of fasting, a 2 h oral 75 g glucose tolerance test was performed and the blood samples were drawn at 0, 30 and 120 min. Plasma glucose was measured by enzymatic hexokinase photometric assay (Konelab Systems reagents; Thermo Fischer Scientific, Vantaa, Finland). Insulin was determined by immunoassay (ADVIA Centaur Insulin IRI no. 02230141; Siemens Medical Solutions Diagnostics, Tarrytown, NY, USA). Height and weight were measured to the nearest 0.5 cm and 0.1 kg, respectively. Waist circumference (at the midpoint between the lateral iliac crest and lowest rib) and hip circumference (at the level of the trochanter major) were measured to the nearest 0.5 cm. Body composition was determined by bioelectrical impedance (RJL Systems) in subjects in the supine position.

Publication Title

Genetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE38705
Macrophage samples from the HMDP
  • organism-icon Mus musculus
  • sample-icon 510 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a)

Description

Identify genes involved in regulation of inflammatory responses and gene-environemnt interactions, in macrophages from a set of mouse inbred strains termed the HMDP. The HMDP is a genetically diverse mapping panel comprised of classical inbred and recombinant inbred wild type mice. The RMA values of genes were used for genome wide association as described in Bennett et al Genome Research 2010.

Publication Title

Unraveling inflammatory responses using systems genetics and gene-environment interactions in macrophages.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE64768
Gonadal Adipose Tissue Profiling In HMDP (high-fat/high-sucrose diet)
  • organism-icon Mus musculus
  • sample-icon 439 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a), Illumina MouseRef-8 v2.0 expression beadchip

Description

Identify genes in the gonadal adipose tissue whose expression is under genetic regulation in the Hybrid Mouse Diversity Panel (HMDP). The HMDP comprises classical inbred and recombinant inbred wild type mice. The RMA values of genes were used for genome wide association as described in Parks et al Cell Metabolism 2015. These data are used to identify candidate genes at loci associated with obesity and dietary responsiveness.

Publication Title

Genetic architecture of insulin resistance in the mouse.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE30140
Expression data from livers of F2 mice (C57BL/6 X DBA/2) deficient in leptin receptor (db/db)
  • organism-icon Mus musculus
  • sample-icon 424 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In several models of obesity-induced diabetes, increased lipid accumulation in the liver has been associated with decreased diabetes susceptibility. For instance, deficiency in leptin receptor (db/db) leads to hyperphagia and obesity in both C57BL/6 and C57BLKS mice but, only on the C57BLKS background do the mice develop beta-cell loss leading to severe diabetes while C57BL/6 mice are relatively resistant. Liver triglyceride levels in the resistant C57BL/6 mice are 3 to 4 fold higher than in C57BLKS.

Publication Title

Systems genetics of susceptibility to obesity-induced diabetes in mice.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE64769
Liver Profiling In HMDP (high-fat/high-sucrose diet)
  • organism-icon Mus musculus
  • sample-icon 433 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a), Illumina MouseRef-8 v2.0 expression beadchip

Description

Identify genes in the liver whose expression is under genetic regulation in the Hybrid Mouse Diversity Panel (HMDP). The HMDP comprises classical inbred and recombinant inbred wild type mice. The RMA values of genes were used for genome wide association as described in Parks et al Cell Metabolism 2015. These data are used to identify candidate genes at loci associated with obesity and dietary responsiveness.

Publication Title

Genetic architecture of insulin resistance in the mouse.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE89253
Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways
  • organism-icon Homo sapiens
  • sample-icon 125 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epipolymorphisms associated with the clinical outcome of autoimmune arthritis affect CD4+ T cell activation pathways.

Sample Metadata Fields

Sex

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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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