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accession-icon SRP188219
Differentially Expressed Genes for Atrial Fibrillation Identified using RNA Sequencing from Paired Human Left and Right Atrial Appendages.
  • organism-icon Homo sapiens
  • sample-icon 399 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Next Generation RNA Sequencing was carried out on human paired left and right atrial appendages from patients with and without Atrial Fibrillation. EdgeR software was used to show a total of 247 genes were found to have significant differential expression between left and right atria. Overall design: Left and Right atrial appendages from 5 patients in Sinus Rhythm and 5 patients in atrial fibrillation were subjected to RNA sequencing and differential gene expression using EdgeR.

Publication Title

Differentially expressed genes for atrial fibrillation identified by RNA sequencing from paired human left and right atrial appendages.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon SRP041461
A new dataset of spermatogenic vs oogenic transcriptomes in the nematode C. elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The nematode Caenorhabditis elegans is an important model for studies of germ cell biology, including specification as sperm or oocyte, the meiotic cell cycle and gamete differentiation. Fundamental to those studies is a genome-level knowledge of the germline transcriptome. Here we use RNA-Seq to identify genes expressed in isolated XX gonads, which are roughly 95% germline and 5% somatic gonadal tissue. We generate data from mutants making either sperm [fem-3(q96)] or oocytes (fog-2), both grown at 22°C. Our dataset identifies a total of 10,754 mRNAs in the polyadenylated transcriptome of XX gonads, with 1,723 enriched in spermatogenic gonads, 2,869 enriched in oogenic gonads and the remaining 6,274 not enriched in either. These spermatogenic, oogenic and gender-neutral gene datasets compare well with those of earlier studies, but double the number of genes identified. We also query our RNA-Seq data for differential exon usage and find 351 mRNAs with sex-specific isoforms. We suggest that this new dataset will prove useful for studies focusing on C. elegans germ cell biology. Overall design: Comparison of spermatogenic vs oogenic transcriptomes

Publication Title

A new dataset of spermatogenic vs. oogenic transcriptomes in the nematode Caenorhabditis elegans.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE73070
RIP-Chip analysis of the C. elegans FOG-1 and FOG-3 proteins
  • organism-icon Caenorhabditis elegans
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

FOG-1/CPEB and FOG-3/Tob are the terminal regulators of the sex determination in C. elegans germ cells. CPEB and Tob proteins are both translational regulators. To investigate how FOG-1 and FOG-3 regulate germ cell sex determination we sought to identify the target mRNAs. We used transgenic epitope tagged animals (3xMyc::FOG-1 and FOG-3::3xFLAG). To identify the mRNA targets of FOG-1/CPEB and FOG-3/Tob on a genome wide scale we used RNA immunoprecipitation followed by microarray analysis. We found 81 putative mRNA targets of FOG-1 and 722 putative targets of FOG-3. 76 target mRNAs were common to both FOG-1 and FOG-3.

Publication Title

Genomic Analyses of Sperm Fate Regulator Targets Reveal a Common Set of Oogenic mRNAs in Caenorhabditis elegans.

Sample Metadata Fields

Specimen part

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accession-icon GSE27642
MiRNA-127 Inhibits IgG Immune Complex-induced Lung Inflammation by Targeting IgG Fc Receptor I
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The molecular mechanisms of acute lung injury are incompletely understood. MicroRNAs (miRNAs) are crucial biological regulators that act by suppressing their target genes and are involved in a variety of pathophysiologic processes. MiR-127 appeared to be down-regulated during lung injury. We set out to investigate the role of miR-127 in lung injury and inflammation. Expression of miR-127 significantly reduced cytokine release by macrophages. Looking into the mechanisms of the regulation of inflammation by miR-127, we found that IgG Fc Receptor I (FcRI/CD64) was a target of miR-127, as evidenced by reduced CD64 protein expression in macrophages over-expressing miR-127. Furthermore, miR-127 significantly reduced the luciferase activity with a reporter construct containing the native 3-UTR of CD64. Importantly, we demonstrated that miR-127 attenuated lung inflammation in an IgG immune complex (IgG IC) model in vivo. Collectively, these data show that miR-127 targets macrophage CD64 expression and promotes the reduction of lung inflammation. Understanding how miRNAs regulate lung inflammation may represent an attractive way to control inflammation induced by infectious or non-infectious lung injury.

Publication Title

MicroRNA-127 inhibits lung inflammation by targeting IgG Fcγ receptor I.

Sample Metadata Fields

Cell line

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accession-icon GSE64809
Gene Expressoin Profile in the Hypothalamus and Liver of Male Bgn_KO, FMOD_KO and WT Mice at 13 Weeks Old, With and Without DHA (omega-3) Treatment
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Biglycan gene connects metabolic dysfunction with brain disorder.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE44252
Expression data from mouse ES cells after control RNAi (scramble siRNAs) or specific RNAi (siRNAs for specific genes) treatment
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To address the functional role of MOF in mammalian X upregulation, male and female mouse ES cells were transfected with a mixture of three small interfering RNA duplexes, each of which targets a different region of Mof mRNA. We found that MOF knockdown in mouse ES cells caused a greater drop in expression of X-linked genes compared to autosomal genes, as measured by expression array analyses. The strongest effect was observed on medium-expressed X-linked genes.

Publication Title

Mammalian X upregulation is associated with enhanced transcription initiation, RNA half-life, and MOF-mediated H4K16 acetylation.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE64806
Gene Expressoin Profile in the Liver of Male WT and BGN_KO Mice at 13 Weeks Old
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon

Description

To investigate the effects of gene Bgn on affecting brain dysfunction and metabolic disorders by profiling the transcripome in the liver of male Bgn_KO and wild-type (WT, litter mate) mice at 13 weeks old.

Publication Title

Biglycan gene connects metabolic dysfunction with brain disorder.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE44251
Expression data from undifferentiated and differentiated mouse female ES cells PGK12.1
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Affymetrix 430 2.0 mouse arrays were used for expression analyses in undifferentiated and differentiated PGK12.1 ES cells. We found that the X:autosome expression ratios calculated from the mean expression values of X-linked and autosomal genes from microarrays was ~1.4 in undifferentiated female ES cells and then decreased to 1.2 in PGK12.1 cells after 15-day embryoid body differentiation. Thus, a substantial level of X upregulation is already evident in these ES cells prior to differentiation.

Publication Title

Mammalian X upregulation is associated with enhanced transcription initiation, RNA half-life, and MOF-mediated H4K16 acetylation.

Sample Metadata Fields

Specimen part

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accession-icon GSE68515
Hippocampal gene expression in aged and young HSD1 knockout mice
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mice deficient in the glucocorticoid-regenerating enzyme 11-HSD1 resist age-related spatial memory impairment. To investigate the mechanisms/pathways involved, we used microarrays to identify differentially expressed hippocampal genes that associate with cognitive ageing and 11-HSD1. Aged wild-type mice were separated into memory-impaired and unimpaired relative to young controls according to their performance in the Y-maze. All individual aged 11-HSD1-deficient mice showed intact spatial memory. The majority of differentially expressed hippocampal genes were increased with ageing (e.g. immune/inflammatory response genes) with no genotype differences. However, the neuronal-specific transcription factor, Npas4 and immediate early gene, Arc were reduced (relative to young) in the hippocampus of memory-impaired but not unimpaired aged wild-type or aged 11-HSD1-deficient mice. Quantitative RT-PCR and in situ hybridization confirmed reduced Npas4 and Arc mRNA expression in memory-impaired aged wild-type mice. These findings suggest that 11-HSD1 may contribute to the decline in Npas4 and Arc mRNA levels associated with memory impairment during ageing, and that decreased activity of synaptic plasticity pathways involving Npas4 and Arc may, in part, underlie the memory deficits seen in cognitively-impaired aged wild-type mice.

Publication Title

Decreased Npas4 and Arc mRNA Levels in the Hippocampus of Aged Memory-Impaired Wild-Type But Not Memory Preserved 11β-HSD1 Deficient Mice.

Sample Metadata Fields

Age

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accession-icon GSE24206
Validated Gene Expression Signatures of Idiopathic Pulmonary Fibrosis
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Idiopathic pulmonary fibrosis (IPF) is a chronic fibrosing lung disease that is difficult to diagnose and follows an unpredictable clinical course. The object of this study was to develop a predictive gene signature model of IPF from whole lung tissue. We collected whole lung samples from 11 IPF patients undergoing diagnostic surgical biopsy or transplantation. Whenever possible, samples were obtained from different lobes. Normals consisted of healthy organs donated for transplantation. We measured gene expression on microarrays. Data were analyzed by hierarchical clustering and Principal Component Analysis. By this approach, we found that gene expression was similar in the upper and lower lobes of individuals with IPF. We also found that biopsied and explanted specimens contained different patterns of gene expression; therefore, we analyzed biopsies and explants separately. Signatures were derived by fitting top genes to a Bayesian probit regression model. We developed a 153-gene signature that discriminates IPF biopsies from normal. We also developed a 70-gene signature that discriminates IPF explants from normal. Both signatures were validated on an independent cohort. The IPF Biopsy signature correctly diagnosed 76% of the validation cases (p < 0.01), while IPF Explant correctly diagnosed 78% (p < 0.001). Examination of differentially expressed genes revealed partial overlap between IPF Biopsy and IPF Explant and almost no overlap with previously reported IPF gene lists. However, several overlapping genes may provide a basis for developing therapeutic targets.

Publication Title

Bayesian probit regression model for the diagnosis of pulmonary fibrosis: proof-of-principle.

Sample Metadata Fields

Sex, Age, 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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