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accession-icon SRP071635
Alternative splicing regulation by homologous Muscleblind proteins
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We provide data showing alternative splicing regulation by Muscleblind proteins in MEFs. MEFs lacking functional Muscleblind (DKO MEFs) were stably reconstituted with Muscleblind proteins from Homo sapiens, Ciona intestinalis, Drosophila melanogaster, Caenorhabditis elegans or Trichoplax adhaerens and splicing regulation was explored using RNA-seq analysis followed by MISO (Mixture of Isoforms). Overall design: Alternative splicing was accessed using RNA-sequencing data from five DKO MEF lines reconstituted with different GFP-tagged Muscleblind homologs or GFP alone and compared to RNA-seq data from three WT MEF lines and three control DKO MEFs (no Muscleblind reconstitution). A total of 12 samples were used for high-throughput sequencing.

Publication Title

Conservation of context-dependent splicing activity in distant Muscleblind homologs.

Sample Metadata Fields

Subject

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accession-icon GSE26064
Gene Expression Analysis of Fezf1 Mutant Main Olfactory Epithelium
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mice lacking the transcription factor Fezf1 exhibit defects in the structural and molecular organiztion of their olfactory system. To invetigate this at the level of gene expression, we isolated Fezf1 expressing cells by FACS from the MOE of Fezf1+/- or Fezf1-/- animals and compared their gene expression profiles.

Publication Title

Fezf1 and Fezf2 are required for olfactory development and sensory neuron identity.

Sample Metadata Fields

Specimen part

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accession-icon GSE9103
Skeletal Muscle Transcript Profiles in Trained or Sedentary Young and Old Subjects
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Aging is associated with mitochondrial dysfunction and insulin resistance. We conducted a study to determine the role of long-term vigorous endurance exercise on age-related changes in insulin sensitivity and various indices of mitochondrial functions.

Publication Title

Endurance exercise as a countermeasure for aging.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18476
Gene Expression Data from U937T:PLZF-RARa Inducible Cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The PLZF-RARa fusion oncoprotein is overexpressed in the t(11;17) subtype of acute promyelocytic leukemia. Gene expression microarrays were used to identify genes involved in leukemic transformation.

Publication Title

Comprehensive genomic screens identify a role for PLZF-RARalpha as a positive regulator of cell proliferation via direct regulation of c-MYC.

Sample Metadata Fields

Cell line

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accession-icon GSE67076
Array of CCR6+ ILC3 from the mesenteric lymph node of nave C57BL/6 mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

CCR6+ innate lymphoid cells were sorted from the mesenteric lymph node of nave C57BL/6 mice

Publication Title

Immune tolerance. Group 3 innate lymphoid cells mediate intestinal selection of commensal bacteria-specific CD4⁺ T cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP068706
RNA-sequencing of single whole cells and nuclei from mouse dentate granule cells
  • organism-icon Mus musculus
  • sample-icon 201 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single-cell sequencing methods have emerged as powerful tools for identification of heterogeneous cell types within defined brain regions. Application of single-cell techniques to study the transcriptome of activated neurons can offer insight into molecular dynamics associated with differential neuronal responses to a given experience. Through evaluation of common whole-cell and single-nuclei RNA-sequencing (snRNA-seq) methods, here we show that snRNA-seq faithfully re-capitulates transcriptional patterns associated with experience-driven induction of activity, including immediate early genes (IEGs) such as Fos, Arc, and Egr1. SnRNA-seq of mouse dentate granule cells reveals large-scale changes in the activated neuronal transcriptome after brief novel environment exposure, including induction of MAPK pathway genes . In addition, we observe a continuum of activation states, revealing a pseudo-temporal pattern of activation from gene expression alone. In summary, snRNA-seq of activated neurons enables the examination of gene expression beyond IEGs,allowing for novel insights into neuronal activation patterns in vivo. Overall design: Examination of 1) 82 whole-cell (WC) dentate granule cells from a PTZ- or saline-treated mouse, and 2) 23 single-nuclei (SN) from dentate granule cells of a homecage (HC) mouse or 96 nuclei from a mouse exposed to a novel environment (NE)

Publication Title

Nuclear RNA-seq of single neurons reveals molecular signatures of activation.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE16625
5-azacytidine and entinostat treatment of patients with MDS, chronic myelomonocytic leukemia (CMMoL), and high risk AML
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Early epigenetic changes and DNA damage do not predict clinical response in an overlapping schedule of 5-azacytidine and entinostat in patients with myeloid malignancies. The patients with MDS, chronic myelomonocytic leukemia (CMMoL), and high risk AML were treated with sequential administration of methylation inhibitor drugs (5AC and entinostat). To study gene expresion regulation in treated patients, microarray analysis was done on RNA samples extracted from CD34+ cells from 18 patients before and 15 days after treatment using Affymetrix U133Plus2.0.

Publication Title

Early epigenetic changes and DNA damage do not predict clinical response in an overlapping schedule of 5-azacytidine and entinostat in patients with myeloid malignancies.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE108875
Expression data from mouse spleens after experimental stroke (reanalysis of dataset GSE70841 with additional experimental)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Infection is a major complication and cause of mortality and morbidity after acute stroke however the mechanisms are poorly understood. After experimental stroke the microarchitecture and cellular composition of the spleen are extensively disrupted resulting in deficits to immune function.

Publication Title

Experimental Stroke Differentially Affects Discrete Subpopulations of Splenic Macrophages.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE42986
Transcriptome profiling in human primary mitochondrial respiratory chain disease
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: CHOP_1.0_ENTREZG (huex10st)

Description

Primary mitochondrial respiratory chain (RC) diseases are heterogeneous in etiology and manifestations but collectively impair cellular energy metabolism. To identify a common cellular response to RC disease, systems biology level transcriptome investigations were performed in human RC disease skeletal muscle and fibroblasts. Global transcriptional and post-transcriptional dysregulation in a tissue-specific fashion was identified across diverse RC complex and genetic etiologies. RC disease muscle was characterized by decreased transcription of cytosolic ribosomal proteins to reduce energy-intensive anabolic processes, increased transcription of mitochondrial ribosomal proteins, shortened 5'-UTRs to improve translational efficiency, and stabilization of 3'-UTRs containing AU-rich elements. These same modifications in a reversed direction typified RC disease fibroblasts. RC disease also dysregulated transcriptional networks related to basic nutrient-sensing signaling pathways, which collectively mediate many aspects of tissue-specific cellular responses to primary RC disease. These findings support the utility of a systems biology approach to improve mechanistic understanding of mitochondrial RC disease.

Publication Title

Primary respiratory chain disease causes tissue-specific dysregulation of the global transcriptome and nutrient-sensing signaling network.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE28896
Dexamethasone and lenalidomide have distinct functional effects on erythropoiesis
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

We explored the effects of dexamethasone and lenalidomide, individually and in combination, on the differentiation of primary human bone marrow progenitor cells in vitro. Both agents promote erythropoiesis, increasing the absolute number of erythroid cells produced from normal CD34+ cells and from CD34+ cells with the types of ribosome dysfunction found in DBA and del(5q) MDS. However, the drugs had distinct effects on the production of erythroid progenitor colonies; dexamethasone selectively increased the number burst-forming units-erythroid (BFU-E), while lenalidomide specifically increased colony-forming units-erythroid (CFU-E). Use of the drugs in combination demonstrates that their effects are not redundant.

Publication Title

Dexamethasone and lenalidomide have distinct functional effects on erythropoiesis.

Sample Metadata Fields

Specimen part, Treatment

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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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