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accession-icon SRP073206
Transcriptome analysis in a radiosensitive and a radioresistant cell line after ionizing radiation
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Differential gene expression profiling was performed in two lymphoblastoid cell lines with different radiosentivitity, one radiosensitive (RS) and another radioresistant (RR), after different post-irradiation times. A greater and a prolonged transcriptional response after irradiation was induced in the RS cell line. Functional analysis showed that 24 h after irradiation genes involved in DNA damage response, negative regulation of the cell cycle and apoptosis were still differentially up-regulated in the RS cell line but not in the RR cell line. Overall design: Sham-irradiated and irradiated (2 Gy) cell cultures of the RS and the RR cell line were incubated at 37ºC for 4 and 24 h and 14 days. After that, RNA was extracted and sequenced with QuantSeq technology

Publication Title

Differences in DNA Repair Capacity, Cell Death and Transcriptional Response after Irradiation between a Radiosensitive and a Radioresistant Cell Line.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject, Time

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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 SRP116960
Transcriptomic analysis of in vitro cultured horizontal basal cells of the murine olfactory epithelium
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report bulk RNAseq of in vitro cultured horizontal basal cells, and in vivo isoalted respiratory basal cells of the murine olfactory epithelium, and compared their profiles with pre-existing bulk RNAseq of in vivo isolated HBCs and single cell RNAseq of in vivo HBCs. Overall design: RNAseq of in vitro horizontal basal cells (HBCs) in triplicate under control conditions, and FACS isolated in vivo respiratory basal cells in singlet

Publication Title

Activating a Reserve Neural Stem Cell Population In Vitro Enables Engraftment and Multipotency after Transplantation.

Sample Metadata Fields

Subject

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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 GSE77974
Characterization of a P-REX1 gene signature in breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The Rac nucleotide Exchange Factor (Rac-GEF) P-Rex1 is highly expressed in breast cancer, specifically in the luminal subtype, and is an essential mediator of actin cytoskeleton reorganization and cell migratory responses induced by ErbB and other tyrosine-kinase receptors. Heregulin, a growth factor highly expressed in mammary tumors, causes the activation of P-Rex1 and Rac1 in breast cancer cells via ErbB3, leading to a motile response. Since there is limited information about P-Rex1 downstream effectors, we carried out a microarray analysis to identify genes regulated by P-Rex1 in the context of HRG stimulation. In T-47D breast cancer cells, HRG treatment caused major changes in gene expression, including genes associated with motility, adhesion, invasiveness and metastasis. Silencing P-Rex1 expression from T-47D cells using RNAi altered the induction and repression of a subset of HRG-regulated genes, among them genes associated with extracellular matrix organization, migration, and chemotaxis. HRG induction of MMP10, a gene encoding for metalloproteinase-10, was found to be highly sensitive both to P-Rex1 depletion as well as inhibition of Rac1 function by the GTPase Activating Protein (GAP) 2-chimaerin, suggesting the dependence of the P-Rex1/Rac1 pathway for the induction of genes critical for breast cancer invasiveness. Notably, there is a significant association in the expression of P-Rex1 and MMP10 in human luminal breast cancer, and their co-expression is indicative of poor prognosis.

Publication Title

Characterization of a P-Rex1 gene signature in breast cancer cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE68745
Expression data from wildtype and Tfr1 heart KO mice
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We deleted Tfr1 in the heart to determine the role of Tfr1 in iron uptake in normal cardiac funciton We used microarrays to identify global gene changes associated with deletion of Tfr1 in skeletal muscle

Publication Title

Lethal Cardiomyopathy in Mice Lacking Transferrin Receptor in the Heart.

Sample Metadata Fields

Age, 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 SRP106692
The immunosuppressive effect of the tick salivary protein, Salp15, is persistent and has long-term effects in a murine model of hematopoietic transplant
  • organism-icon Mus musculus
  • sample-icon 105 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

Description

Salp15, a salivary protein of Ixodes ticks, inhibits the activation of naïve CD4 T cells. Treatment with Salp15 results in immunomodulation in different murine models in which these cells participate. The fate of the CD4 T cells activated in the presence of the immunosuppressor or its long-term effects on these cells are however, unknown. We now show that Salp15 binding to CD4 is persistent and induces a long-lasting immunomodulatory effect. The activity of Salp15 results in sustained diminished antibody production against specific and unrelated antigens. Transcriptionally, the salivary protein provokes a sharp acute effect that includes known activation factors, such as Il2, Cd44, or Il2ra, and that fades over time. The long-term effects exerted by Salp15 do not involve the induction of either anergy traits nor increased populations of regulatory T cells. Similarly, the treatment with the immunomodulatory protein does not result in B cell anergy or the generation of myeloid suppressor cells. However, the immunomodulatory protein induces the increased expression of the ectoenzyme, CD73, in regulatory T cells. Our results suggest that the specific regulation of CD73, a known modulator of adenosine levels, by Salp15 results in long-term cross-antigenic immunomodulatory effects. Overall design: Genome-wide changes in gene Expression in mouse CD4 T cells activated with anti-CD3/CD28 in the presence of 25 ug/mL of the tick salivary protein, Salp15 or its inactive control (Salp15deltaP11) were generated by RNAseq.

Publication Title

The immunosuppressive effect of the tick protein, Salp15, is long-lasting and persists in a murine model of hematopoietic transplant.

Sample Metadata Fields

Age, Specimen part, Cell line, Treatment, Subject, Time

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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 GSE144901
CLL intraclonal fractions exhibit established and recently-acquired patterns of DNA methylation
  • organism-icon Homo sapiens
  • sample-icon 103 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

CLL intraclonal fractions exhibit established and recently acquired patterns of DNA methylation.

Sample Metadata Fields

Sex, Specimen part, Subject

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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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