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accession-icon SRP058319
Endogenous DUX4 Expression in FSHD Myotubes is Sufficient to Cause Cell Death and Disrupts RNA Splicing and Cell Migration Pathways.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Facioscapulohumeral Muscular Dystrophy (FSHD) is caused by chromatin relaxation that results in aberrant expression of the transcription factor Double Homeobox 4 (DUX4). DUX4 protein is present in a small subset of FSHD muscle cells, making its detection and analysis of its effects historically difficult. Using a DUX4-activated reporter we demonstrate the burst expression pattern of endogenous DUX4, its method of signal amplification in the unique shared cytoplasm of the myotube, and FSHD cell death that depends on its activation. Transcriptome analysis of DUX4 expressing cells revealed that DUX4 activation disrupts RNA metabolism including RNA splicing, surveillance, and transport pathways. Cell signaling, polarity, and migration pathways were also disrupted. Thus, DUX4 expression is sufficient for myocyte death and these findings suggest mechanistic links between DUX4 expression and cell migration, supporting recent descriptions of phenotypic similarities between FSHD and an FSHD-like condition caused by FAT1 mutations.

Publication Title

Endogenous DUX4 expression in FSHD myotubes is sufficient to cause cell death and disrupts RNA splicing and cell migration pathways.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34788
Genomic signatures of a global fitness index in a multi-ethnic cohort of women
  • organism-icon Homo sapiens
  • sample-icon 119 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The rates of obesity and sedentary lifestyle are on a dramatic incline, with associated detrimental health effects among women in particular. Although exercise prescriptions are useful for overcoming these problems, success can be hampered by differential responsiveness among individuals in cardiovascular fitness indices (i.e., improvements in strength, lipids, VO2max). Genetic factors appear to play an important role in determining this inter-individual variation in responsiveness. We performed microarray analyses on mRNA in whole blood from 60 sedentary women from a multi-ethnic cohort who underwent 12 weeks of exercise, to identify gene subsets that were differentially expressed between individuals who experienced the greatest and least improvements in fitness based upon a composite fitness score index. We identified 43 transcripts in 39 unique genes (FDR<10%; FC>1.5) whose expression increased the most in high versus low premenopausal female responders. Several (TIGD7, UQCRH, PSMA6, WDR12, TFB2M, USP15) have reported associations with fitness-related phenotypes. Bioinformatic analysis of the 39 genes identified 4 miRNAs whose expression has been linked to cardiovascular diseases (ANKRD22: miR-637, LRRFIP1: miR-132, PRKAR2B: miR-92a, RSAD2:miR-192). These 39 genes were enriched in 6 biological pathways, including the oxidative phosphorylation pathway (p=8.08 x 10-3). Two genes, LRRFIP1 and SNORD30, were also identified with lower expression in high responding postmenopausal women. In summary, we identified gene signatures based on mRNA analysis that define responsiveness to exercise in a largely minority-based female cohort. Importantly, this study validates several genes/pathways previously associated with exercise responsiveness and extends these findings with additional novel genes.

Publication Title

Genomic signatures of a global fitness index in a multi-ethnic cohort of women.

Sample Metadata Fields

Sex, Race, Time

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accession-icon GSE24828
Heterogeneity in SDF-1 production defines the vasculogenic potential of c-kit+ cardiac progenitor cells
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Five Cardiac Progenitor Clones Isolated were from the left ventricle of mouse heart. The 5 cardiac progenitor clones differ in morphology and vasculogenic potential. Total RNA was isolated and hybridized on mouse Affymetrix MOE_430_2 arrays to compare basal gene expression levels and correlate the gene expression with fuctional studies.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE11181
Non-invasive electric magnetic fields: Effects on keratinocyte migration and proliferation
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Although evidence has shown that very small electric currents produce a beneficial therapeutic result for wounds, non-invasive EMF therapy has consisted mostly of anecdotal clinical reports with very few well controlled laboratory mechanistic studies. In this study, we evaluated the effects and potential mechanisms of a non-invasive EMF device on skin wound repair. In vitro analyses with human skin keratinocyte cultures demonstrated that the non-invasive EMF has a very strong effect on accelerating keratinocyte migration and a relatively weaker effect on promoting keratinocyte proliferation. The positive effects of the non-invasive EMF on cell migration and proliferation seem keratinocyte specific without such effects seen on dermal fibroblasts. cDNA microarray and RT-PCR performed revealed increased expression of CRK7 and HOXC8 genes in treated keratinocytes. This study suggests that a non-invasive electric magnetic field accelerates wound reepithelialization through a mechanism of promoting keratinocyte migration and proliferation, possibly due to upregulation of CRK7 and HOXC8 genes.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP011480
The Zeanome
  • organism-icon Zea mays
  • sample-icon 92 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina Genome Analyzer IIx

Description

Maize exhibits levels of structural variation (SV) of non-repeat sequences that are unprecedented among higher eukaryotes. This SV includes hundreds of copy number variants (CNVs) and thousands of presence/absence variants (PAVs). Many of the PAVs contain intact, expressed, single-copy genes that are present in one haplotype but absent from another. The goal of this project is to test the hypothesis that differences in gene copy number (both gains and losses) contribute to the extraordinary phenotypic diversity and plasticity of maize. Maize is a good model for these studies because it exhibits a rapid decay of linkage disequilibrium (LD) and because a draft genome sequence of the B73 inbred and mapping populations are available. As a first step, the "Zeanome", a near-complete set of genes present in B73, other maize lines and the wild ancestor of maize (teosinte), is being defined using transcriptomic data.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP029399
Gene expression analysis of multiple Saccharomyces cerevisiae strains
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 83 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

No description.

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon SRP064626
Multi-scale molecular deconstruction of the serotonin neuron system
  • organism-icon Mus musculus
  • sample-icon 74 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq transcriptome profiles of genetically fate-mapped serotonin neurons, manually sorted from multiple anatomic domains, at both population and single cell resolution.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP029742
Zea mays Transcriptome or Gene expression
  • organism-icon Zea mays
  • sample-icon 64 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Heterosis which is the improved vigor of F1-hybrids compared to their parents is widely exploited in maize (Zea mays L.) breeding to produce elite hybrids of superior yield. The transcriptomes of the maize inbred lines B73 and Mo17 and their reciprocal hybrid offspring were surveyed in the meristematic zone, the elongation zone, cortex and stele tissues of primary roots, prior to the developmental manifestation of heterosis. Single parent expression (SPE) is consistent with the dominance model for heterosis in that it denotes genes that are expressed in only one parent but in both reciprocal hybrids. In primary root tissues, between 1,027 (elongation zone) and 1,206 (stele) SPE patterns were observed. As a consequence, hybrids displayed in each tissue >400 active genes more than either parent. Analysis of tissue-specific SPE dynamics revealed that 1,233 of 2,233 SPE genes displayed SPE in all tissues in which they were expressed while 1,000 SPE genes displayed in at least one tissue a non-SPE pattern. In addition, 64% (17,351/ 27,164) of all expressed genes were assigned to the two subgenomes which are the result of an ancient genome duplication. By contrast, only between 18 and 25% of the SPE genes were assigned to a subgenome suggesting that a disproportionate number of SPE genes are evolutionary young and emerged after genome duplication. We hypothesize that this phenomenon is associated with human selection of favorable maize genotypes which might primarily affect younger genes rather than genes whose functions have been conserved for millions of years.

Publication Title

Nonsyntenic genes drive highly dynamic complementation of gene expression in maize hybrids.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP020526
Mus musculus strain:black6 x castaneus Transcriptome or Gene expression
  • organism-icon Mus musculus
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-Seq of reciprocally crossed Black6 x CAST hybrid mouse tissues.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Cell line

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accession-icon SRP011187
Contribution from Different Genomic Annotation Sets to Quantitative Trait Variation Revealed by Maize GWAS
  • organism-icon Zea mays
  • sample-icon 49 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The genomic distribution of trait-associated SNPs (TASs) discovered in genome-wide association studies (GWAS) can provide insight into the genetic architecture of complex traits and the design of future studies. Here we report on a maize GWAS that identified TASs underlying five quantitative traits measured across a large panel of samples and examine the characteristics of these TASs. A set of SNPs obtained via RNA sequencing (RNA-seq), most of which are located within annotated genes (~87%) were complemented with additional SNPs from the maize HapMap Project that contains approximately equal proportions of intragenic and intergenic SNPs. TASs were identified via a genome scan while controlling for polygenic background effects. The diverse functions of TAS-containing candidate genes indicate that complex genetic networks shape these traits. The vast majority of the TAS-containing candidate genes have dynamic expression levels among developmental stages. Overall, TASs explain 44~54% of the total phenotypic variation for these traits, with equal contributions from intra- and inter-genic TASs. Association of ligueless2 with upper leaf angle was implicated by two intragenic TASs; rough sheath1 was associated with leaf width by an upstream intergenic TAS; and Zea agamous5 was associated with days to silking by both intra- and inter-genic TASs. A large proportion (82%) of these TASs comes from noncoding regions, similar to findings from human diseases and traits. However, TASs were enriched in both intergenic (53%) and promoter 5kb (24%) regions, but under-represented in a set of nonsynonymous SNPs.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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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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