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accession-icon SRP096132
Mus musculus strain:C57BL/6 Transcriptome or Gene expression
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconNextSeq 550, NextSeq 500

Description

Differential expression analysis of different tissues from wild type and ApoE mutant mice

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon SRP145493
Cell type specific gene expression patterns associated with posttraumatic stress disorder in World Trade Center responders
  • organism-icon Homo sapiens
  • sample-icon 154 Downloadable Samples
  • Technology Badge Icon

Description

Posttraumatic stress disorder (PTSD) has been linked to immunologic dysregulation. Gene expression profiling has emerged as a promising tool for understanding the pathophysiology of PTSD. However, to date, all but one gene expression study was based on whole blood or unsorted peripheral blood mononuclear cell (PBMC), a complex tissue consisting of several populations of cells. The objective of this study was to utilize RNA sequencing to simultaneously profile the gene-expression of four immune cell subpopulations in World Trade Center responders. Pathway analyses identified gene sets related to immune response and inflammation as being among the differentially expressed genes in PTSD, including mast cell activation and regulation in CD4T, interferon-beta production in CD8T, and neutrophil related gene sets in monocytes. These findings are suggestive that immune cell dysregulation involves gene expression in various cell populations.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14227
Time-course gene expression profiles of a Saccharomyces cerevisiae wild type and long-lived sch9-delta mutant
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The SCH9 null strain has smaller cell size, grows at a slower rate and survives three times longer than wide-type yeast.

Publication Title

Comparative analyses of time-course gene expression profiles of the long-lived sch9Delta mutant.

Alternate Accession IDs

E-GEOD-14227

Sample Metadata Fields

Age

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accession-icon SRP110564
Identification of circular RNAs with host gene-independent expression in human model systems for cardiac differentiation and disease
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Aims: Cardiovascular disease, one of the most common causes of death in western populations, is characterized by changes in RNA splicing and expression. Circular RNAs (circRNA) originate from back-splicing events, which link a downstream 5’ splice site to an upstream 3’ splice site. Several back-splicing junctions (BSJ) have been described in heart biopsies from human, rat and mouse hearts.[1,2] Here, we use human induced pluripotent stem cell derived cardiomyocytes (hiPSC-CMs) to identify circRNA and host gene dynamics in cardiac development and disease. In parallel, we explore candidate interactions of selected homologs in mouse and rat via RIP-seq experiments.Methods and Results: Deep RNA sequencing of cardiomyocyte development and ß-adrenergic stimulation uncovered 4,518 circRNAs. The set of circular RNA host genes is enriched for chromatin modifiers and GTPase activity regulators. RNA-seq and qRT-PCR data showed that circular RNA expression is highly dynamic in the hiPSC-CM model with 320 circRNAs showing significant expression changes. Intri-guingly, 82 circRNAs are independently regulated to their host genes. We validated the same circRNA dynamics for circRNAs from ATXN10, CHD7, DNAJC6 and SLC8A1 in biopsy material from human dilated cardiomyopathy (DCM) and control patients. Finally, we could show that rodent homologs of circMYOD, circSLC8A1, circATXN7 and circPHF21A interact with either the ribosome or Argonaute2 protein complexes.Conclusion: CircRNAs are dynamically expressed in a hiPSC-CM model of cardiac development and stress response. Some circRNAs show similar, host-gene inde-pendent expression dynamics in patient samples and may interact with the ribo-some and RISC complex. In summary, the hiPSC-CM model uncovered a new sig-nature of potentially disease relevant circRNAs which may serve as novel therapeu-tic targets.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Specimen part, Race

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accession-icon GSE13420
Significant and Systematic Expression Differentiation in Long-Lived Yeast Strains
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The three yeast mutants sch9, ras2, tor1 show extended chronological life span up to three folds.

Publication Title

Significant and systematic expression differentiation in long-lived yeast strains.

Alternate Accession IDs

E-GEOD-13420

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP046087
Effect of in utero vitamin D deficiency on lung structure and function
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Recent studies suggest vitamin D deficiency is associated with chronic lung diseases such as asthma and chronic obstructive pulmonary disease. Each of these are characterised by airway hyperresponsiveness (AHR) and airway remodeling, the latter characterized by increased airway smooth muscle (ASM) mass. In this study we investigated the biological mechanisms underlying increased ASM mass and AHR due to vitamin D deficiency via RNA-seq transcriptome analysis of female BALB/c mice at 8 weeks of age.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP090787
Subcutaneous Adipose and Skin Expression as a Function of Genotype in Polycystic Ovary Syndrome
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA expression in adipose and skin from women with polycystic ovary syndrome (PCOS) was examined using RNA sequencing (Illumina HiSeq 50 cycle single-read sequencing) as a function of the genotype at 16 PCOS genetic risk variants. We hypothesized that the tissue expression pattern in adipose and skin would help identify candidate genes and pathways that could provide insight into the underlying mechanism for risk at these loci.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP064894
Homo sapiens Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

High-throughput sequencing of RNA (RNA-Seq) in human cancer shows remarkable potential to simultaneously identify expression levels of protein-coding genes and long non-coding RNAs (lncRNAs). We performed RNA-Seq to investigate expression level of lncRNAs and protein-coding genes in 30 esophageal samples, including 15 esophageal squamous cell carcinoma (ESCC) tissue samples and 15 paired non-tumor tissues. We further developed an integrative bioinformatics method, denoted URW-LPE (for unsupervised random walk with each dysregulated lncRNA/PCG), to identify key functional lncRNAs that regulate expression of downstream protein-coding genes in ESCC. By this method, multiple known cancer and novel potentially functional lncRNAs were effectively identified. Quantitative reverse-transcription PCR was performed to confirm the lncRNA expression level of eight novel functional lncRNAs in an additional 120 paired ESCC patient samples. Finally, we characterized lncRNA625 as a novel ESCC regulator of cell proliferation, invasion and migration. Moreover, we identified E1A-binding protein p300 (EP300) as playing a key role in executing lncRNA625-induced transcriptional responses. These findings establish the utility of integrative bioinformatics analyses of RNA-Seq to identify cancer-associated functional lncRNAs.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MEXP-31
Transcription profiling of mammalian male germ cells undergoing mitotic growth, meiosis and gametogenesis in highly enriched cell populations
  • organism-icon Rattus norvegicus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a), Affymetrix Rat Genome U34 Array (rgu34b)

Description

We report a comprehensive large-scale expression profiling analysis of mammalian male germ cells undergoing mitotic growth, meiosis and gametogenesis using High Density Oligonucleotide Microarrays and highly enriched cell populations. Among 11955 rat loci investigated, 1268 were identified as differentially transcribed in germ cells at subsequent developmental stages as compared to total testis, somatic Sertoli cells as well as brain and skeletal muscle controls. The loci were organized into four expression clusters that correspond to somatic, mitotic, meiotic and post-meiotic cell types. This work provides information about expression patterns of approximately 200 genes known to be important during male germ cell development. Approximately 40 of those are included in a group of 121 transcripts for which we report germ cell expression and lack of transcription in three somatic control cell types. Moreover, we demonstrate the testicular expression and transcriptional induction in mitotic, meiotic and/or post-meiotic germ cells of 293 as yet uncharacterized transcripts some of which are likely to encode factors involved in spermatogenesis and fertility. This group also contains numerous potential germ cell specific targets for innovative contraceptives. A graphical display of the data is conveniently accessible through the GermOnline database at <a href="http://www.germonline.org" target="_blank">http://www.germonline.org</a>.

Publication Title

Expression profiling of mammalian male meiosis and gametogenesis identifies novel candidate genes for roles in the regulation of fertility.

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon SRP151414
Effect of chronic hypoxia and selective knock out of smooth muscle NFATc3 on gene expression in pulmonary arteries
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

CH causes perivascular inflammation, enhanced pulmonary arterial constriction and remodeling leading to the development of pulmonary hypertension. Pulmonary hypertension is a debilitating disease with a high mortality rate. CH develops in patients with chronic obstructive pulmonary disease (COPD), sleep apnea or people living at high altitude. Both COPD and sleep apnea are very prevalent and pulmonary hypertension develops in a large % of COPD and sleep apnea patients. The molecular mechanisms that underlie the development of CH-induced pulmonary hypertension are far from clear. We have previously demonstrated that CH activates the Ca2+/calcineurin-regulated transcription factor NFATc3 in PASMC and that NFATc3 is required for CH-induced pulmonary hypertension in mice. Although this work was the first to identify a role for this transcription factor in an experimental model of pulmonary hypertension, since a conventional whole animal KO was used it is unknown if PASMC NFATc3 contributes to CH-induced PH. Furthermore, the genes regulated by NFATc3 in PASMC under control and CH conditions are largely unknown.

Publication Title

No associated publication

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
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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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