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accession-icon GSE106800
Circadian misalignment induces fatty acid metabolism gene profiles and induces insulin resistance in human skeletal muscle.
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Circadian misalignment, such as in shift work, has been associated with obesity and type 2 diabetes, however, direct effects of circadian misalignment on skeletal muscle insulin sensitivity and muscle molecular circadian clock have never been investigated in humans. Here we investigated insulin sensitivity and muscle metabolism in fourteen healthy young lean men (age 22.4 2.8 years; BMI 22.3 2.1 kg/m2 [mean SD]) after a 3-day control protocol and a 3.5-day misalignment protocol induced by a 12-h rapid shift of the behavioral cycle. We show that circadian misalignment results in a significant decrease in peripheral insulin sensitivity due to a reduced skeletal muscle non-oxidative glucose disposal (Rate of disappearance: 23.7 2.4 vs. 18.4 1.4 mg/kg/min; control vs. misalignment; p=0.024). Fasting glucose and FFA levels as well as sleeping metabolic rate were higher during circadian misalignment. Molecular analysis of skeletal muscle biopsies revealed that the molecular circadian clock was not aligned to the new behavourial rhythm, and microarray analysis revealed the human PPAR pathway as a key player in the disturbed energy metabolism upon circadian misallignement. Our findings may provide a mechanism underlying the increased risk of type 2 diabetes among shift workers.

Publication Title

Circadian misalignment induces fatty acid metabolism gene profiles and compromises insulin sensitivity in human skeletal muscle.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE81248
Gene expression data from HEY cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The innate immune system is vital to rapidly responding to pathogens and Toll-like receptors (TLRs) are a critical component of this response. Nanovesicular exosomes play a role in immunity, but to date their exact contribution to the dissemination of the TLR response is unknown. To understand the effect of exosomal cargo released from locally stimulated cells on distal cell expression, we collected exosomes from local ovarian adenocarcinoma (HEY) cells that were either unstimulated (control-exosomes), stimulated with pIC (pIC-exosomes), or lipopolysaccharide (LPS-exosomes) for 48 hours. The three groups of exosomes were added to nave (distal) cells and the gene expression profiles were compared between local TLR stimulation (for 6 hours) and distal stimulation mediated by exosomes at the 48-hour time point

Publication Title

TLR-exosomes exhibit distinct kinetics and effector function.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE23177
Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs.
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Lymph node involvement is the most important prognostic factor in breast cancer, but little is known about the underlying molecular changes. First, to identify a molecular signature associated with nodal metastasis, gene expression analysis was performed on a homogeneous group of 96 primary breast tumors, balanced for lymph node involvement. Each tumor was diagnosed as a poorly differentiated, estrogen positive, her2-neu negative invasive ductal cancer. (Affymetrix Human U133 Plus 2.0 microarray chips). A model, including 241 genes was built and validated on an internal and external dataset performed with Affymetrix technology. All samples used for validation had the same characteristics as the initial tumors. The area under the ROC curve (AUC) for the internal dataset was 0.646 and 0.651 for the external datasets. Thus, the molecular profile of a breast tumor reveals information about lymph node involvement, even in a homogeneous group of tumors. However, an AUC of 0.65 indicates only a weak correlation. Our model includes multiple kinases, apoptosis related and zinc ion binding genes. Pathway analysis using the Molecular Signatures Database revealed relevant gene sets (BAF57, Van 't Veer). Next, miRNA profiling was performed on 82/96 tumors using Human MiRNA microarray chips (Illumina). Eight miRNAs were significantly differentially expressed according to lymph node status at a significance level of 0.05, without correcting for multiple testing. The analysis of the inverse correlation between a miRNA and its computationally predicted targets point to general deregulation of the miRNA machinery potentially responsible for lymph node invasion. In conclusion, our results provide evidence that lymph node involvement in breast cancer is not a random process.

Publication Title

Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE51925
Aged Mice are Unable to Mount an Effective Myeloid Response to Sepsis
  • organism-icon Mus musculus
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Old C57BL/6 mice cannot mount an effective innate immune response

Publication Title

Aged mice are unable to mount an effective myeloid response to sepsis.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE28783
Effect of anti-miR-33 treatment on gene expression in mouse macrophages from atherosclerotic plaques.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Inhibition of miR-33 results in increased cholesterol efflux and HDL-cholesterol levels in mice. In this study we examined the effect of miR-33 inhibition in a mouse model of atherosclerosis and observed significant reduction in atherosclerotic plaque size. At the end of the study, gene expression in macrophages from the atherosclerotic plaques was assessed.

Publication Title

Antagonism of miR-33 in mice promotes reverse cholesterol transport and regression of atherosclerosis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP100088
Transcriptional and accessible chromatin profiles during conversion process of alternatively activated macrophages (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Whether inflammatory macrophages can adopt features of the tissue resident niche and what mechanisms mediate phenotypic conversion remain unclear. In this study, we show by cell surface phenotyping, as well as by RNA-Seq transcriptional profiling and ATAC-Seq open chromatin regions profiling, that inflammatory monocyte can adopt a tissue resident phenotype, which is also accompanied by re-programming of the transcriptional profiles and remodeling of the open chromatin landscape. The conversion process is dependent on Vitamin A, suggesting that Vitamin A deficiency may lead to the failure to resolve inflammation, as inflammatory macrophages accumulate without adopting a tissue residency phenotype. Overall design: Monocyte-derived (N=3), tissue converted (N=3) and tissue resident (N=3) mouse peritoneal macrophages were FACS-sorted for RNASeq and ATACSeq.

Publication Title

Vitamin A mediates conversion of monocyte-derived macrophages into tissue-resident macrophages during alternative activation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE16011
Intrinsic Gene Expression Profiles of Gliomas are a Better Predictor of Survival than Histology
  • organism-icon Homo sapiens
  • sample-icon 284 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Histological classification of gliomas guides treatment decisions. Because of the high interobserver variability, we aimed to improve classification by performing gene expression profiling on a large cohort of glioma samples of all histological subtypes and grades. The seven identified intrinsic molecular subtypes are different from histological subgroups and correlate better to patient survival. Our data indicate that distinct molecular subgroups clearly benefit from treatment. Specific genetic changes (EGFR amplification, IDH1 mutation, 1p/19q LOH) segregate in -and may drive- the distinct molecular subgroups. Our findings were validated on three large independent sample cohorts (TCGA, REMBRANDT, and GSE12907). We provide compelling evidence that expression profiling is a more accurate and objective method to classify gliomas than histology.

Publication Title

Intrinsic gene expression profiles of gliomas are a better predictor of survival than histology.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP118694
Epigenomes and transcriptomes of human monocytes before and after in vivo exposure to Bacillus Calmette-Guérin vaccine
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

Innate immune memory is the phenomenon whereby innate immune cells such as monocytes or macrophages undergo functional reprogramming after exposure to microbial components. In this study, we apply epigenomic and transcriptomic analysis to a clinical trial of BCG vaccination in healthy adults. Overall design: Healthy volunteers were injected with the BCG vaccine, and monocytes were collected before vaccination, and 1 month after vaccination.

Publication Title

The role of Toll-like receptor 10 in modulation of trained immunity.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE70418
A Detailed Characterization of the Dysfunctional Immunity and Abnormal Myelopoiesis Induced by Severe Shock and Trauma in the Aged
  • organism-icon Mus musculus
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The polytrauma (PT) murine model has unique transcriptomic responses 2 hrs, 1 day and 3 days after injury. We determined with this clinically relevant model that the increased morbidity in the elderly is secondary to a failure of bone marrow progenitors, blood neutrophils, and bronchoalveolar lavage cells to initiate and complete an 'emergency myelopoietic' response, engendering myeloid cells that fail to clear secondary infection. In addition, the elderly appear unable to effectively resolve their inflammatory response to severe injury.

Publication Title

A Detailed Characterization of the Dysfunctional Immunity and Abnormal Myelopoiesis Induced by Severe Shock and Trauma in the Aged.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE73620
A developmental model of human early cardiac valvulogenesis
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 9 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

Human pre-valvular endocardial cells derived from pluripotent stem cells recapitulate cardiac pathophysiological valvulogenesis.

Sample Metadata Fields

Specimen part

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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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