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accession-icon SRP019272
Genetic regulation of human adipose microRNA expression and its consequences for metabolic traits
  • organism-icon Homo sapiens
  • sample-icon 362 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The genetics of messenger RNA expression has been extensively studied in humans and other organisms, but little is known about genetic factors contributing to microRNA (miRNA) expression. We examined natural variation of miRNA expression in adipose tissue in a population of 200 men who have been carefully characterized for metabolic syndrome phenotypes as part of the METSIM study. We genotyped the subjects using high-density SNP microarrays and quantified the mRNA abundance using genome-wide expression arrays and miRNA abundance using next generation sequencing. We reliably quantified 356 miRNA species that were expressed in human adipose tissue, a limited number of which made up most of the expressed miRNAs. We mapped the miRNA abundance as an expression quantitative trait and determined cis regulation of expression for 9 of the miRNAs and of the processing of one miRNA (miR-28). The degree of genetic variation of miRNA expression was substantially less than that of mRNAs. For the majority of the miRNAs, genetic regulation of expression was independent of the host mRNA transcript expression. We also showed that for 108 miRNAs, mapped reads displayed widespread variation from the canonical sequence. We found a total of 24 miRNAs to be significantly associated with metabolic syndrome traits. We suggest a regulatory role for miR-204-5p which was predicted to inhibit ACACB, a key fatty acid oxidation enzyme that has been shown to play a role in regulating body fat and insulin resistance in adipose tissue. Overall design: miRNA expression profiling of adipose tissue isolated from 200 humans

Publication Title

Genetic regulation of human adipose microRNA expression and its consequences for metabolic traits.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon E-TABM-585
Transcription profiling by array of human lung cancer cells after treatment with dasatinib, imatinib, nilotinib or PD0325901
  • organism-icon Homo sapiens
  • sample-icon 111 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Cell Line: This experiment was designed to measure the transcriptional responses to four kinase inhibitors across a five-logarithm dose range. The A549 human lung cancer cell line was treated with dasatinib, imatinib or nilotinib (4 hours and 20 hours) or PD0325901 (4 hours). Treatments used a 12-point dose range (30 uM with 3-fold dilutions down to 0.17 nM; 0.5% DMSO vehicle for all treatments). Experimental design prevented row or column handling effects being confounded with dose effect.

Publication Title

Transcriptional profiling of the dose response: a more powerful approach for characterizing drug activities.

Sample Metadata Fields

Disease, Cell line, Compound, Time

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accession-icon GSE30169
Expression of human aortic endothelial cells treated with or without oxidized phospholipids (II)
  • organism-icon Homo sapiens
  • sample-icon 628 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Oxidized phospoholipids are a pro-inflammatory component of minimally modified lipoproteins that get trapped in the subendothelial space of atherosclerotic plaques of large arteries. To model the response of endothelial cells in a pro-atherosclerotic enviroment we measured the expression in primary endothelial cells with and without treatment with oxidized phsopolipids from 96 genetically identical donors of anonymous origin.

Publication Title

Network for activation of human endothelial cells by oxidized phospholipids: a critical role of heme oxygenase 1.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE16780
Hybrid Mouse diversity Panel Liver Expression Profile
  • organism-icon Mus musculus
  • sample-icon 288 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a)

Description

Novel, systems-based approach to mouse genetics.

Publication Title

A high-resolution association mapping panel for the dissection of complex traits in mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE2401
Gene expression in Hypotension
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Rat kidney in normo- and hypotensive animals.

Publication Title

A physiogenomic approach to study the regulation of blood pressure.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP075283
Development and differentiation of early innate lymphoid progenitors
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Early innate lymphoid progenitors (EILP) have recently been identified in the mouse adult bone marrow as a multipotential progenitor population committed to ILC lineages, but their relationship with other described ILC progenitors is still unclear. In this study, we examine the progenitor-successor relationships between EILP, IL-7R+ common lymphoid progenitors (ALP), and ILC precursors (ILCp). Bioinformatic, phenotypical, functional, and genetic approaches collectively establish EILP as an intermediate progenitor between ALP and ILCp. Our work additionally provides new candidate regulators of ILC development and clearly defines the stage of requirement of transcription factors key for early ILC development. Overall design: transcriptional profiling of early ILC progenitors (EILP, ILCp), and common lymphoid progenitors (ALP) was performed by RNA sequencing

Publication Title

Development and differentiation of early innate lymphoid progenitors.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE107246
Identification of INSL4-regulated gene program in non-small cell lung cancer cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Gene expression profiling was performed to identify INSL4-regulated gene program in non-small cell lung cancer A549 cells. We compared gene expression profiles of A549 cells transduced with lentiviruses expressing scrambled shRNA control or INSL4 shRNA. Our analysis revealed INSL4-regulated gene program that are involved in the regulation of cell cycle, growth and survival.

Publication Title

Role of INSL4 Signaling in Sustaining the Growth and Viability of LKB1-Inactivated Lung Cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE81960
Identification of LINC00473-regulated transcriptional program in human mucoepidermoid carcinoma
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Gene expression profiling was performed on control and long intergenic non-protein coding RNA 473 (LINC00473)-depleted human mucoepidermoid carcinoma H3118 cells, and differentially expressed genes after LINC00473 depletion were identified.

Publication Title

CRTC1-MAML2 fusion-induced lncRNA LINC00473 expression maintains the growth and survival of human mucoepidermoid carcinoma cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE72223
Complex Interdependence Regulates Heterotypic Transcription Factor Distribution and Coordinates Cardiogenesis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Complex Interdependence Regulates Heterotypic Transcription Factor Distribution and Coordinates Cardiogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE77576
Complex Interdependence Regulates Heterotypic Transcription Factor Distribution and Coordinates Cardiogenesis [microarray]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In the developing heart, heterotypic transcription factors (TFs) interactions, such as between the T-box TF TBX5 and the homeodomain TF NKX2-5 have been proposed as a mechanism for human congenital heart disease. In order to study the role of each TF during heart formation, embryonic stem (ES) cell-derived embryos were generated from KO ES cells for Tbx5, Nkx2-5 or both TFs.

Publication Title

Complex Interdependence Regulates Heterotypic Transcription Factor Distribution and Coordinates Cardiogenesis.

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)

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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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