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accession-icon SRP015725
Differences in miRNA Detection Levels are Technology and Sequence Dependent [NGS]
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We undertook an integrative technological approach to compare miRNA detection capability of three high-throughput commercial platforms. Overall design: We artificially introduced human precursor, 2’-O-methyl modified and mature spiked-in miRNAs in a controlled fashion into native human placenta total RNA.

Publication Title

Differences in microRNA detection levels are technology and sequence dependent.

Sample Metadata Fields

Subject

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accession-icon SRP062126
RNA-Seq: assessment of transcript level analysis tools [seq]
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This study uses spiked-in transcript in order to compares various bioinformatics approaches and tools to assemble, quantify abundance and detect differentially expressed transcripts using RNA-Seq data. Mouse total RNA seq was extracted from embryonic stem cells (ES) before (designated as day 0) and four days after the addition of retinoic acid. 48 spikes were made in vitro from plasmid constructs and added to the total RNA in different concentrations (each mix has a set of different spike concentrations, see paper''s method). We found that detection of differential expression at the gene level is acceptable, yet on the transcript-isofom level all tools tested were lacking accuracy and precision. Overall design: Mouse total RNA was extracted from embryonic stem cells (ES) before (designated as day 0) and four days after the addition of retinoic acid (RA) (designated as day 4). Mouse spike-ins consisting of 48 different mouse RNA transcripts were generated in vitro from plasmid constructs and added to the total RNA. 23 of the spike-ins originate from 10 different locus regions, so that each locus is represented by at least two different transcripts. The remaining 25 spike-ins represent different loci.

Publication Title

Using Synthetic Mouse Spike-In Transcripts to Evaluate RNA-Seq Analysis Tools.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE75138
RNA-Seq: assessment of transcript level analysis tools [array]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This study uses spiked-in transcript in order to compare various bioinformatics approaches and tools to assemble, quantify abundance and detect differentially expressed transcripts using RNA-Seq data. Mouse total RNA seq was extracted from embryonic stem cells (ES) before (designated as day 0) and four days after the addition of retinoic acid. 48 spikes were made in vitro from plasmid constructs and added to the total RNA in different concentrations (each mix has a set of different spike concentrations, see paper's method). We found that detection of differential expression at the gene level is acceptable, yet on the transcript-isofom level all tools tested were lacking accuracy and precision.

Publication Title

Using Synthetic Mouse Spike-In Transcripts to Evaluate RNA-Seq Analysis Tools.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE36664
Temporal transcriptional profiling of growth resumption following polyamine-depletion
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Polyamines are absolutely required for cell growth and proliferation. While polyamine depletion results in reversible cell cycle arrest, the actual mechanism of growth inhibition is still obscure.

Publication Title

Expression profiling and biochemical analysis suggest stress response as a potential mechanism inhibiting proliferation of polyamine-depleted cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE36445
Temporal transcriptional profiling of polyamine-depleted NIH3T3 cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Polyamines are absolutely required for cell growth and proliferation. While polyamine depletion results in reversible cell cycle arrest, the actual mechanism of growth inhibition is still obscure.

Publication Title

Expression profiling and biochemical analysis suggest stress response as a potential mechanism inhibiting proliferation of polyamine-depleted cells.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon GSE41050
Epigenetic polymorphism and the stochastic formation of differentially methylated regions in normal and cancerous tissues
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenetic polymorphism and the stochastic formation of differentially methylated regions in normal and cancerous tissues.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE41049
Epigenetic polymorphism and the stochastic formation of differentially methylated regions in normal and cancerous tissues (Gene Expression data)
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

DNA methylation has been comprehensively profiled in normal and cancer cells, but the dynamics that form, maintain and reprogram differentially methylated regions remain enigmatic. We show that methylation patterns within populations of cells from individual somatic tissues are heterogeneous and polymorphic. Using in vitro evolution of immortalized fibroblasts for over 300 generations, we track the dynamics of polymorphic methylation at regions developing significant differential methylation on average. The data indicate that changes in population-averaged methylation occur through a stochastic process that generates a stream of local and uncorrelated methylation aberrations. Despite the stochastic nature of the process, nearly deterministic epigenetic remodeling emerges on average at loci that lose or gain resistance to methylation accumulation. Changes in the susceptibility to methylation accumulation are correlated with changes in histone modifications and CTCF occupancy. Characterizing epigenomic polymorphism within cell populations is therefore critical for understanding methylation dynamics in normal and cancer cells.

Publication Title

Epigenetic polymorphism and the stochastic formation of differentially methylated regions in normal and cancerous tissues.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE26350
Signaling to Transcription Networks in the Neuronal Retrograde Injury Response
  • organism-icon Rattus norvegicus
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Retrograde signaling from axon to soma activates intrinsic regeneration mechanisms in lesioned peripheral sensory neurons; however, the links between axonal injury signaling and the cell body response are not well understood. Here, we used phosphoproteomics and microarrays to implicate ~900 phosphoproteins in retrograde injury signaling in rat sciatic nerve axons in vivo and ~4500 transcripts in the in vivo response to injury in the dorsal root ganglia. Computational analyses of these data sets identified ~400 redundant axonal signaling networks connected to 39 transcription factors implicated in the sensory neuron response to axonal injury. Experimental perturbation of individual overrepresented signaling hub proteins, including Abl, AKT, p38, and protein kinase C, affected neurite outgrowth in sensory neurons. Paradoxically, however, combined perturbation of Abl together with other hub proteins had a reduced effect relative to perturbation of individual proteins. Our data indicate that nerve injury responses are controlled by multiple regulatory components, and suggest that network redundancies provide robustness to the injury response

Publication Title

Signaling to transcription networks in the neuronal retrograde injury response.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE37822
The H3K27 demethylase Utx facilitates somatic and germ cell epigenetic reprogramming to pluripotency
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The H3K27 demethylase Utx regulates somatic and germ cell epigenetic reprogramming.

Sample Metadata Fields

Specimen part

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accession-icon GSE35775
The H3K27 demethylase Utx facilitates somatic and germ cell epigenetic reprogramming to pluripotency [Affymetrix gene expression]
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Pluripotency can be induced in somatic cells by ectopic expression of defined transcription factors, however the identity of epigenetic regulators driving the progression of cellular reprogramming requires further investigation. Here we uncover a non-redundant role for the JmjC-domain-containing protein histone H3 methylated Lys 27 (H3K27) demethylase Utx, as a critical regulator for the induction, but not for the maintenance, of primed and nave pluripotency in mice and in humans. Utx depletion results in aberrant H3K27me3 repressive chromatin demethylation dynamics, which subsequently hampers the reactivation of pluripotency promoting genes during reprogramming. Remarkably, Utx deficient primordial germ cells (PGCs) display a cell autonomous aberrant epigenetic reprogramming in vivo during their embryonic maturation, resulting in the lack of functional contribution to the germ-line lineage.

Publication Title

The H3K27 demethylase Utx regulates somatic and germ cell epigenetic reprogramming.

Sample Metadata Fields

Specimen part

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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