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accession-icon GSE87201
The transcriptome of human oocytes is related to age and ovarian reserve.
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Although it is well established that the ovarian reserve diminishes with increasing age, and that a womans age is correlated to lower oocyte quality, the interplay of a diminished reserve and age on oocyte developmental competence is not clear. After maturation, oocytes are mostly transcriptionally quiescent, and developmental competence prior to embryonic genome activation (EGA) relies on maternal RNA and proteins. Age and ovarian reserve both affects oocyte developmental competence, however, their relative importance in this process are difficult to tease out, as ageing is accompanied by a decrease in ovarian reserve. Oocytes store large quantities of RNA, including several noncoding transcripts (ncRNAs) involved in early development transcription and translation modulation. Despite the central role of ncRNAs in maternal to zygote transition, no characterization of the ncRNA transcriptome in human oocytes has been reported. This study aims at identifying how the human oocyte transcriptome changes across reproductive ages and ovarian reserve levels, with the goal of identifying candidate markers of developmental competence, and to assess the independent relevance of age and ovarian reserve in the changes of the transcriptome

Publication Title

The transcriptome of human oocytes is related to age and ovarian reserve.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP148856
Targeted transcriptional modulation with type I CRISPR-Cas systems in human cells (RNA-seq)
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

The development of CRISPR-Cas systems for targeting DNA and RNA in diverse organisms has transformed biotechnology and biological research. Moreover, the CRISPR revolution has highlighted bacterial adaptive immune systems as a rich and largely unexplored frontier for discovery of new genome engineering technologies. In particular, the class 2 CRISPR-Cas systems, which use single RNA-guided DNA-targeting nucleases such as Cas9, have been widely applied for targeting DNA sequences in eukaryotic genomes. Here, we report DNA-targeting and transcriptional control with class I CRISPR-Cas systems. Specifically, we repurpose the effector complex from type I variants of class 1 CRISPR-Cas systems, the most prevalent CRISPR loci in nature, that target DNA via a multi-component RNA-guided complex termed Cascade. We validate Cascade expression, complex formation, and nuclear localization in human cells and demonstrate programmable CRISPR RNA (crRNA)-mediated targeting of specific loci in the human genome. By tethering transactivation domains to Cascade, we modulate the expression of targeted chromosomal genes in both human cells and plants. This study expands the toolbox for engineering eukaryotic genomes and establishes Cascade as a novel CRISPR-based technology for targeted eukaryotic gene regulation. Overall design: Examination of transcriptome-wide changes in gene expression with Cascade-mediated activation of endogenous genes.

Publication Title

Targeted transcriptional modulation with type I CRISPR-Cas systems in human cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP170422
RNA-seq analysis asociated with the infection of bovine papillomavirus
  • organism-icon Bos taurus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Bovine papillomavirus (BPV) is the causative agent of papillomatosis in cattle. The disease causes cutaneous and mucosal lesions that can be minimized or lead to the appearance of malignant tumors. This study aims to identify possible molecular mechanisms that are behind the pathological processes associated with bovine papillomatosis through the identification of genes related to the development of the lesions. For this, next-generation RNA sequencing was used to assess differentially expressed genes in infected by BPV and non-infected bovines. Three animals with papillomatosis lesion and three without papillomatosis lesion were studied. The Galaxy platform was used to analyze the data generated by the sequencing. The Illumina output files were converted to FASTQ format. Quality evaluation was performed using FastQC and the sequence quality cut was performed using Trimmomatic. TopHat and Bowtie were used to map and align the reads with the reference genome. The abundance of the expressed genes was verified using Cuffilinks. Cuffdiff was used for differential expression analysis. Functional annotation of the differentially expressed genes was performed using Gene Ontology (GO) databases. RNA-sequencing generated a total of 121,722,238 of reads. In the gene expression analysis, a total of 13,421 genes expressed were identified and of these 1343 were differentially expressed. The functional annotation of differentially significant genes showed that many genes presented functions or they were related to metabolic pathways associated with the progression of papillomatosis lesions and cancer development in cattle. Although more studies are needed, this is the first study that focused on a large-scale evaluation of gene expression associated with the BPV infection, which is important to identify possible mechanisms regulated by the host genes that are necessary the development of the lesion Overall design: Analysis of three BPV infected and three BPV non-infected samples

Publication Title

Comparative transcriptomic analysis of bovine papillomatosis.

Sample Metadata Fields

Age, Specimen part, Treatment, Subject

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accession-icon GSE15417
Depletion of Erk1 and Erk2 MAP kinases in primary human keratinocytes
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We assessed the effect of RNAi-mediated MAP kinase cascade signaling blockade in primary human keratinocytes. Two sets of siRNA targeting different regions of the Erk1/2 genes were used, enabling identification of off-target siRNA effects.

Publication Title

Erk1/2 MAP kinases are required for epidermal G2/M progression.

Sample Metadata Fields

Specimen part

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accession-icon GSE19877
Effects of dietary obesity in fathers on gene expression of islets in the female offspring
  • organism-icon Rattus norvegicus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

The global prevalence of obesity is increasing across age and gender. The rising burden of obesity in young people contributes to the early emergence of type 2 diabetes. Having one parent obese is an independent risk factor for childhood obesity. While the detrimental impact of diet-induced maternal obesity on offspring is well established, the extent of the contribution of obese fathers is unclear, as is the role of non-genetic factors in the casual pathway. Here we show that paternal high fat diet exposure programmed -cell dysfunction in their F1 female offspring. Chronic high fat diet consumption in Sprague Dawley fathers led to increased body weight, adiposity, impaired glucose tolerance and insulin sensitivity. Relative to controls, their female offspring had lower body weight at day-1, increased pubertal growth rate, impaired insulin secretion and glucose tolerance, in the absence of obesity or increased adiposity. Paternal high fat diet was observed to alter gene expression of pancreatic islet genes in adult female offspring (P < 0.001); affected functional clusters includes calcium ion binding, insulin, apoptosis, Wnt and cell cycle organ/system development. This is the first reported study in mammals describing non-genetic, intergenerational transmission of metabolic sequelae of high fat diet from father to offspring. These findings support a role of fathers in metabolic programming of offspring and form a framework for further studies.

Publication Title

Chronic high-fat diet in fathers programs β-cell dysfunction in female rat offspring.

Sample Metadata Fields

Sex

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accession-icon GSE35338
Expression data from reactive astrocytes acutely purified from young adult mouse brains
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Reactive astrogliosis is characterized by a profound change in astrocyte phenotype in response to all CNS injuries and diseases. To better understand the reactive astrocyte state, we used Affymetrix GeneChip arrays to profile gene expression in populations of reactive astrocytes isolated at various time points after induction using two different mouse injury models, ischemic stroke and neuroinflammation.

Publication Title

Genomic analysis of reactive astrogliosis.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon SRP050511
Synergism between PPARa and glucocorticoid receptor signaling promotes self-renewal of BFU-E erythroid progenitors and increases red cell production [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Analyses of gene expression by RNA-Seq in mouse E14.5 fetal liver burst-forming unit erythroid (BFU-E) cells untreated or treated by dexamethasone (DEX) with or without PPARa agonist GW7647. Overall design: RNA-Seq was performed on enriched populations of mouse BFU-E isolated from E14.5 fetal liver, as well as BFU-E enriched cells treated with Dex ± GW7647.

Publication Title

PPAR-α and glucocorticoid receptor synergize to promote erythroid progenitor self-renewal.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41243
Gene expression from Gaucher Disease iPSc
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression data obtained from induced pluripotent stem cells derived from wild type fibroblasts (iPSc WT) and from Gaucher Disease type 2 fibroblasts (GD iPSc). Also, gene expression analysis from the initial fibroblasts was made (WT fibroblasts and GD- fibroblasts), as well as gene expression analysis from a human embryonic stem cell line (hES4).

Publication Title

Neuronopathic Gaucher's disease: induced pluripotent stem cells for disease modelling and testing chaperone activity of small compounds.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP154186
Single cell RNA sequencing of primary-isolated erythroid progenitors [Days 1-3]
  • organism-icon Mus musculus
  • sample-icon 576 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

single cell RNA sequencing of freshly isolated mouse BFU-E (burst forming unit-erythroid ) cells cultured for 1, 2, or 3 days with and without 100nM dexamethasone Overall design: six 96 well plates

Publication Title

Rate of Progression through a Continuum of Transit-Amplifying Progenitor Cell States Regulates Blood Cell Production.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP154147
Single cell RNA sequencing of primary-isolated erythroid progenitors [BFUE, CFUE, intermediates]
  • organism-icon Mus musculus
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single cell RNA sequencing of freshly isolated mouse burst forming unit-erythroid (BFU-E) , colony forming unit-erythroid (CFU-E), and intermediate stages of erythroid development cells. Overall design: One 96 well plate with 24 BFU-E, 24 CFU-E, 24 cells with 25-35% expression of CD71/CD24, and 24 cells with 50-60% expression of CD71/CD24.

Publication Title

Rate of Progression through a Continuum of Transit-Amplifying Progenitor Cell States Regulates Blood Cell Production.

Sample Metadata Fields

Specimen part, Cell line, Subject

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)

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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