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accession-icon SRP073200
Multilayered control of alternative splicing regulatory networks by transcription factors (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Networks of coordinated alternative splicing (AS) events play critical roles in development and disease. However, a comprehensive knowledge of the factors that regulate these networks is lacking. We describe a high-throughput system for systematically linking trans-acting factors to endogenous RNA regulation events. Using this system, we identify hundreds of factors associated with diverse regulatory layers that positively or negatively control AS events linked to cell fate. Remarkably, more than one third of the new regulators are transcription factors. Further analyses of the zinc finger protein Zfp871 and BTB/POZ domain transcription factor Nacc1, which regulate neural and stem cell AS programs, respectively, reveal roles in controlling the expression of specific splicing regulators. Surprisingly, these proteins also appear to regulate target AS programs via binding RNA. Our results thus uncover a large ‘missing cache’ of splicing regulators among annotated transcription factors, some of which dually regulate AS through direct and indirect mechanisms. Overall design: RNA-Seq of N2A cells upon RNAi-mediated knockdown of Mbnl1/Mbnl2 or Nacc1, or control knockdown (1 replicate each), as well as upon knockdown of Srrm4 or Zfp871, or control knockdown (2 replicates each) vast-tools.AltSplicing_Mbnl.Nacc1.tab: Primary vast-tools output for Mbnl and Nacc1 knockdowns vast-tools.AltSplicing_Srrm4.Zfp871.tab: Primary vast-tools output for Srrm4 and Zfp871 knockdowns AltSplicing_Mbnl.Nacc1.tab: Filtered PSI values and differential AS annotation for Mbnl and Nacc1 knockdowns AltSplicing_Srrm4.Zfp871.tab: Filtered PSI values and differential AS annotation for Srrm4 and Zfp871 knockdowns Expression_Mbnl.Nacc1.tab: Raw and read counts per gene, normalized expression and fold-change for Mbnl and Nacc1 knockdowns Expression_Srrm4.Zfp871.tab: Raw read counts per gene, normalized expression and fold-change (edgeR analysis) for Srrm4 and Zfp871 knockdowns

Publication Title

Multilayered Control of Alternative Splicing Regulatory Networks by Transcription Factors.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP151934
Differential Expression of IL-2 Defines CD4 T cells fated for Follicular Helper and Non-follicular Helper Development (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

IL-2 production defines precursors fated to become T Follicular Helper cells Overall design: Sorted naïve IL-2.eGFP CD4 T cells were activvated in vitro or in vivo. Total RNA was isolated from CD69+ IL-2.eGFP+ and CD69+ IL-2.eGFP– CD4 T cells 18-24 hours after activation.

Publication Title

Differential IL-2 expression defines developmental fates of follicular versus nonfollicular helper T cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE2980
Constitutive expression of misfolded surfactant protein C
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Mutations in the gene encoding surfactant protein C (SFTPC) have been linked to interstitial lung disease in children and adults. Expression of the index mutation, SP-Cdeltaexon4, in transiently transfected cells and type II cells of transgenic mice resulted in misfolding of the proprotein, activation of ER stress pathways and cytotoxicity. In the current study we show that stably transfected cells adapted to chronic ER stress imposed by constitutive expression of SP-Cdeltaexon4 via an NF-kB-dependent pathway. However, infection of cells expressing SP-Cdeltaexon4 with respiratory syncytial virus resulted in significantly enhanced cytotoxicity associated with accumulation of the mutant proprotein, pronounced activation of the unfolded protein response and cell death. Adaptation to chronic ER stress imposed by misfolded SP-C was associated with increased susceptibility to viral-induced cell death. The wide variability in the age of onset of ILD in patients with SFTPC mutations may be related to exposure to an environmental insult that ultimately overwhelms the homeostatic, cytoprotective response.

Publication Title

Adaptation and increased susceptibility to infection associated with constitutive expression of misfolded SP-C.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP076871
Transcriptome profiling of self-renewing hESCs and multipotent mesoderm progenitor cells as a function of substrate stiffness
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed RNA-sequencing on human embryonic stem cell samples grown on soft (400Pa) and stiff (60kPa) hydrogels under self-renewal and differentiation conditions Overall design: Whole-transcriptome RNA sequencing in the conditions described

Publication Title

Tissue Mechanics Orchestrate Wnt-Dependent Human Embryonic Stem Cell Differentiation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP124530
Differential splicing events in aging Drosophila eye
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: The goal of this study was to identify differential splicing events in the Drosophila eye during aging. Overall design: Method: RNA extracted from dissected eye tissue of flies aged 10 and 40 days post-eclosion was used to generate cDNA libraries using NuGen Ovation Drosophila RNA seq system. Samples were sequenced using Illumina HiSeq2500 next generation sequencer (three biological replicates per time point).

Publication Title

Proper splicing contributes to visual function in the aging Drosophila eye.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE11467
Crosstalk between Estrogen and TNFalpha in MCF-7 Breast Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Study was carried out to examine how E2 and TNFa together influence gene expression in breast cancer cells compared to either factor alone.

Publication Title

Positive cross-talk between estrogen receptor and NF-kappaB in breast cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14026
Gene expression comparisons of T helper cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This is to compare the gene expression profile of Th1 and Th17 cells.

Publication Title

Late developmental plasticity in the T helper 17 lineage.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE50832
Gene Expression Profiling Reveals Epithelial Mesenchymal Transition (EMT) Genes Can Selectively Differentiate Eribulin Sensitive Breast Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 594 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

Gene expression profiling reveals epithelial mesenchymal transition (EMT) genes can selectively differentiate eribulin sensitive breast cancer cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE50811
Breast cancer cell lines treated with eribulin and paclitaxel
  • organism-icon Homo sapiens
  • sample-icon 238 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Eribulin mesylate is a synthetic macrocyclic ketone analog of the marine sponge natural product halichondrin B. Eribulin is a mechanistically unique inhibitor of microtubule dynamics, leading to inhibition of microtubule growth in the absence of effects on microtubule shortening at microtubule plus ends, and formation of nonproductive tubulin aggregates. In this study, we investigated whether selective signal pathways were associated with eribulin activity compared to paclitaxel, which stabilizes microtubules, based on gene expression profiling of cell line panels of breast, endometrial, and ovarian cancer in vitro.

Publication Title

Gene expression profiling reveals epithelial mesenchymal transition (EMT) genes can selectively differentiate eribulin sensitive breast cancer cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE50831
Ovarian cancer cell lines treated with eribulin and paclitaxel
  • organism-icon Homo sapiens
  • sample-icon 188 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Eribulin mesylate is a synthetic macrocyclic ketone analog of the marine sponge natural product halichondrin B. Eribulin is a mechanistically unique inhibitor of microtubule dynamics, leading to inhibition of microtubule growth in the absence of effects on microtubule shortening at microtubule plus ends, and formation of nonproductive tubulin aggregates. In this study, we investigated whether selective signal pathways were associated with eribulin activity compared to paclitaxel, which stabilizes microtubules, based on gene expression profiling of cell line panels of breast, endometrial, and ovarian cancer in vitro.

Publication Title

Gene expression profiling reveals epithelial mesenchymal transition (EMT) genes can selectively differentiate eribulin sensitive breast cancer cells.

Sample Metadata Fields

Specimen part, Cell line

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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