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accession-icon GSE93611
Time-course expression data from HEK293RAF1:ER cells stimulated with 4OHT, U0126, CYHX, ActD, EGF, FGF, or IGF and labelled with 4SU
  • organism-icon Homo sapiens
  • sample-icon 41 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

An immediate-late gene expression module decodes ERK signal duration.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE72919
Time-course expression data from HEK293RAF1:ER cells stimulated with 4OHT, U0126, CYHX, ActD, EGF, FGF, or IGF
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We integrate experimental data and mathematical modelling to unveil how ERK signal duration is relayed to mRNA dynamics.

Publication Title

An immediate-late gene expression module decodes ERK signal duration.

Sample Metadata Fields

Cell line

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accession-icon GSE68608
C9ORF72 GGGGCC expanded repeats produce splicing dysregulation which correlates with disease severity in amyotrophic lateral sclerosis
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

C9ORF72 GGGGCC Expanded Repeats Produce Splicing Dysregulation which Correlates with Disease Severity in Amyotrophic Lateral Sclerosis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP050505
Analysis of intron sequences reveals hallmarks of circular RNA biogenesis in animals
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Circular RNAs (circRNAs) are a large class of animal RNAs. To investigate possible circRNA functions, it is important to understand circRNA biogenesis. Besides human Alu repeats, sequence features that promote exon circularization are largely unknown. We experimentally identified new circRNAs in C. elegans. Reverse complementary sequences between introns bracketing circRNAs were significantly enriched compared to linear controls. By scoring the presence of reverse complementary sequences in human introns we predicted and experimentally validated novel circRNAs. We show that introns bracketing circRNAs are highly enriched in RNA editing or hyper-editing events. Knockdown of the double-strand RNA editing ADAR1 enzyme significantly and specifically up-regulated circRNA expression. Together, our data support a model of animal circRNA biogenesis in which competing RNA:RNA interactions of introns form larger structures which promote circularization of embedded exons, while ADAR1 antagonizes circRNA expression by melting stems within these interactions. Thus, we assign a new function to ADAR1. Overall design: Examination of 12 samples in different stages of C.elegans development.

Publication Title

Analysis of intron sequences reveals hallmarks of circular RNA biogenesis in animals.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon GSE68605
C9ORF72 GGGGCC expanded repeats produce splicing dysregulation which correlates with disease severity in amyotrophic lateral sclerosis [HG-U133_Plus_2]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Objective: An intronic GGGGCC-repeat expansion of C9ORF72 is the most common genetic variant of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia. The mechanism of neurodegeneration is unknown, but a direct effect on RNA processing mediated by RNA foci transcribed from the repeat sequence has been proposed.

Publication Title

C9ORF72 GGGGCC Expanded Repeats Produce Splicing Dysregulation which Correlates with Disease Severity in Amyotrophic Lateral Sclerosis.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP173388
Single-cell RNA-sequencing of Herpes simplex virus 1-infected cells identifies NRF2 activation as an antiviral program
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000, NextSeq 500

Description

We describe the viral gene expression cascade at the single-cell level, showing bifurcations and bottleneck states. Host gene expression changes are related to viral transcription. The role of cellular signaling pathways in infection is studied using trajectory analysis and the importance of the Nrf2 transcription factor studied in follow-up experiments. Overall design: Human primary fibroblasts were infected with HSV-1 and single-cell RNA-sequencing was performed at different early time points after infection.

Publication Title

Single-cell RNA-sequencing of herpes simplex virus 1-infected cells connects NRF2 activation to an antiviral program.

Sample Metadata Fields

Subject

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accession-icon SRP013456
The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts [protein occupancy profiling]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Protein-RNA interactions are fundamental to core biological processes, such as mRNA splicing, localization, degradation and translation. We developed a photoreactive nucleotide-enhanced UV crosslinking and oligo(dT) purification approach to identify the mRNA-bound proteome using quantitative proteomics and to display the protein occupancy on mRNA transcripts by next-generation sequencing. Application to a human embryonic kidney cell line identified close to 800 proteins. Close to one third of these proteins, were neither previously annotated nor could be functionally predicted to bind RNA. Protein occupancy profiling provides a transcriptome-wide catalog of potential cis-regulatory regions on mammalian mRNAs and showed that large stretches in 3'' UTRs can be contacted by the mRNA-bound proteome, with numerous putative binding sites in regions harboring disease-associated nucleotide polymorphisms. Our observations indicate the presence of a large number of unexpected mRNA-binders with novel molecular functions participating in combinatorial post-transcriptional gene-expression networks. Overall design: We generated protein occupancy cDNA libraries for two biological replicates. Briefly, we crosslinked 4SU-labeled cells and purified protein-mRNA complexes using oligo(dT)-beads. The precipitate was treated with RNAse I to reduce the protein-crosslinked RNA fragments to a length of about 30-60 nt. To remove non-crosslinked RNA, protein-RNA complexes were precipitated with ammonium sulfate and blotted onto nitrocellulose. The RNA was recovered by Proteinase K treatment, ligated to cloning adapters, and reverse transcribed. The resulting cDNA libraries were PCR-amplified and next-generation sequenced

Publication Title

The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts.

Sample Metadata Fields

Treatment, Subject

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accession-icon SRP013463
The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Protein-RNA interactions are fundamental to core biological processes, such as mRNA splicing, localization, degradation and translation. We developed a photoreactive nucleotide-enhanced UV crosslinking and oligo(dT) purification approach to identify the mRNA-bound proteome using quantitative proteomics and to display the protein occupancy on mRNA transcripts by next-generation sequencing. Application to a human embryonic kidney cell line identified close to 800 proteins. Close to one third of these proteins, were neither previously annotated nor could be functionally predicted to bind RNA. Protein occupancy profiling provides a transcriptome-wide catalog of potential cis-regulatory regions on mammalian mRNAs and showed that large stretches in 3'' UTRs can be contacted by the mRNA-bound proteome, with numerous putative binding sites in regions harboring disease-associated nucleotide polymorphisms. Our observations indicate the presence of a large number of unexpected mRNA-binders with novel molecular functions participating in combinatorial post-transcriptional gene-expression networks. Overall design: To obtain a more detailed picture of the RNA present in the pooled precipitates of four consecutive oligo(dT)-purifications, we constructed a cDNA library by random priming of 4-thiouridine (4SU)- and 6-thioguanosine (6SG)-labeled RNA derived from UV-irradiated (365 nm)and non-irradiated cells. Digital gene expression analysis of the cDNA library of non-irradiated cells, labeled with 4SU and 6SG, was performed. To monitor the incorporation of photoreactive nucleotides into mRNA, we isolated 4SU- and 6SG-labeled RNA from the oligo(dT) precipitate of non-crosslinked cells by biotinylation and streptavidin purification (Dolken et al., 2008).

Publication Title

The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts.

Sample Metadata Fields

Treatment, Subject

View Samples
accession-icon SRP058191
RC3H1 posttranscriptionally regulates A20 mRNA and modulates the activity of the IKK/NF-kB pathway [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The RNA-binding protein RC3H1 (also known as ROQUIN) promotes TNFalpha mRNA decay via a 3''UTR constitutive decay element (CDE). Here, we applied PAR-CLIP to human RC3H1 to identify about 3800 mRNA targets with more than 16000 binding sites. A large number of sites are distinct from the consensus CDE and revealed a structure-sequence motif with U-rich sequences embedded in hairpins. RC3H1 binds preferentially short-lived and DNA damage induced mRNAs, indicating a role of this RNA-binding protein in the posttranscriptional regulation of the DNA damage response. Intriguingly, RC3H1 affects expression of NF-kB pathway regulators such as IkBalpha and A20. RC3H1 uses roquin and Zn-finger domains to contact a binding site in the A20 3''UTR, demonstrating a not yet recognized mode of RC3H1 binding. Knockdown of RC3H1 resulted in increased A20 protein expression, thereby interfering with IkB kinase and NF-kB activities, demonstrating that RC3H1 can modulate the activity of the IKK/NF-kB pathway. Overall design: We measured global mRNA decay rates in mock and RC3H1/RC3H2-depleted HEK293 cells. Transcription was blocked by Actinomycin D zero, one or two hours before harvesting. Total RNA was isolated in two biological replicates and subjected to polyA selection followed by high-throughput sequencing.

Publication Title

RC3H1 post-transcriptionally regulates A20 mRNA and modulates the activity of the IKK/NF-κB pathway.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP051518
The transcriptome of Kawasaki Disease arteritis
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Background: Kawasaki Disease (KD) is a childhood illness of suspected infectious etiology that causes medium-sized muscular arteritis, most critically affecting the coronary arteries. No single diagnostic test exists, hampering early diagnosis and treatment. Approximately 25% of untreated patients develop coronary artery disease, and children who are treated with intravenous gammaglobulin but do not respond are also at high risk. Subacute/chronic arteritis and luminal myofibroblastic proliferation are the pathologic processes occurring in KD CA after the second week of illness, when neutrophilic necrotizing arteritis has subsided. The specific dysregulated immune pathways contributing to subacute/chronic arteritis have been unknown, hampering the development of effective immunomodulatory therapies for patients not responding to intravenous gammaglobulin therapy. Methods and Results: Deep RNA sequencing was performed on KD (n=8) and childhood control (n=7) coronary artery tissues, revealing 1074 differentially expressed mRNAs. Molecular pathways involving T helper cell, cytotoxic T lymphocyte, dendritic cells, and antigen presentation were the most significantly dysregulated. There was significant upregulation of immunoglobulin and type I interferon-stimulated genes. 80 upregulated extracellular genes encoding secreted proteins are candidate biomarkers of KD arteritis. Conclusions: The immune transcriptional profile in KD coronary artery tissues is primarily T helper and cytotoxic lymphocyte-mediated, and has features of an antiviral immune response such as type I interferon-stimulated gene expression. This first report of the KD coronary artery transcriptome identifies specific dysregulated immune response pathways that can inform the development of new therapies for and biomarkers of KD arteritis, and provide direction for future etiologic studies. Overall design: Primary analysis: 8 KD coronary arteries versus 7 childhood control coronary arteries. Subanalysis 1: 4 untreated KD coronary arteries versus 7 childhood control coronary arteries and subanalysis 2: 4 treated KD coronary arteries versus 7 childhood control coronary arteries

Publication Title

The transcriptional profile of coronary arteritis in Kawasaki disease.

Sample Metadata Fields

No sample metadata fields

View Samples

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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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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