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accession-icon SRP077284
Dnmt3a Regulates T-cell Development and Suppresses T-ALL Transformation (RNA-seq)
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Gene expression analysis of T-cell acute lymphoblastic leukemia blast cells from either control mice or Dnmt3a knockout mice carrying a Notch1 Intracellular Domain (NICD) retrovirus Overall design: Comparison of gene expression between control and Dnmt3a-KO NICD-driven T-ALL

Publication Title

Dnmt3a regulates T-cell development and suppresses T-ALL transformation.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE33882
Musashi2 is required for the self-renewal and pluripotency of embryonic stem cells
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Recent studies have shown that the RNA binding protein Musashi 2 (Msi2) plays prominent roles during development and leukemia. Additionally, in embryonic stem cells (ESC) undergoing the early stages of differentiation, Msi2 has been shown to associate with Sox2, which is required for the self-renewal of ESC. These findings led us to examine the effects of Msi2 on the behavior of ESC. Using an shRNA sequence that targets Msi2 and a scrambled shRNA sequence, we determined that knockdown of Msi2 disrupts the self-renewal of ESC and promotes their differentiation. Collectively, our findings argue that Msi2 is required to support the self-renewal and pluripotency of ESC.

Publication Title

Musashi2 is required for the self-renewal and pluripotency of embryonic stem cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE80279
Expression data from iPS cell derived hepatocyte-like cells sorted with antibody against cell surface protein SLC10A1
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Most differentiation protocols for generation of hepatocyte-like cells from iPS cells generate cells with heterogenous expression of hepatic markers, which confounds results from liver disease models involving complex traits and subtle phenotypes

Publication Title

Mapping the Cell-Surface N-Glycoproteome of Human Hepatocytes Reveals Markers for Selecting a Homogeneous Population of iPSC-Derived Hepatocytes.

Sample Metadata Fields

Specimen part

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accession-icon GSE34801
Determination of the protein interactome of the transcription factor Sox2 in embryonic stem cells engineered for inducible expression of four reprogramming factors
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Coordinate expression of the somatic cell reprogramming factors Oct4, Sox2, Klf4 and c-Myc within embryonic stem cells preserves the self-renewal of these cells, while allowing for the expression epitope tagged Sox2. Taking advantage of this observation, we engineered embryonic stem cells (i-OSKM-ESC) to inducibly express Oct4, Klf4, c-Myc and an epitope tagged form of Sox2 from a polycistronic element, in the presence of doxycycline. We isolated Sox2 and its associated protein complexes by co-immunoprecipitation. Subsequently, we identified the Sox2-protein interactome in self-renewing embryonic stem cells using an unbiased proteomic screen (Multidimensional Protein Identification Technology [MudPIT]).

Publication Title

Determination of protein interactome of transcription factor Sox2 in embryonic stem cells engineered for inducible expression of four reprogramming factors.

Sample Metadata Fields

Specimen part

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accession-icon SRP073186
Chromatin environment, transcriptional regulation and splicing distinguish lncRNAs and mRNAs [Stability]
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

While long noncoding RNAs (lncRNAs) and mRNAs share similar biogenesis pathways, these two transcript classes differ in many regards. LncRNAs are less conserved, less abundant, and more tissue specific than mRNAs, implying that our understanding of lncRNA transcriptional regulation is incomplete. Here, we perform an in depth characterization of numerous factors contributing to this regulation. We find that lncRNA promoters contain fewer transcription factor binding sites than do those of mRNAs, with some notable exceptions. Surprisingly, we find that H3K9me3 –typically associated with transcriptional repression­–is enriched at active lncRNA loci. However, the most discriminant differences between lncRNAs and mRNAs involve splicing: only half of lncRNAs are efficiently spliced, which can be partially attributed to defects in lncRNA splicing signals and diminished U2AF65 binding. These attributes are conserved between humans and mice. Finally, we find that certain transcriptional properties are enriched in known, functionally characterized lncRNAs, demonstrating that our multidimensional analysis might discern lncRNAs that are likely to be functional Overall design: Examination of RNA abundance in two cell lines (K562 and Hues9) and 5 time points after actinomycin D treatment. Three replicates per time point and cell type.

Publication Title

Chromatin environment, transcriptional regulation, and splicing distinguish lincRNAs and mRNAs.

Sample Metadata Fields

Cell line, Subject, Time

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accession-icon GSE5078
Hippocampal transcript profile in young and middle-aged mice
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

We carried out a global survey of age-related changes in mRNA levels in the C57BL/6NIA mouse hippocampus and found a difference in the hippocampal gene expression profile between 2-month-old young mice and 15-month-old middle-aged mice correlated with an age-related cognitive deficit in hippocampal-based explicit memory formation. Middle-aged mice displayed a mild but specific deficit in spatial memory in the Morris water maze.

Publication Title

Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE50067
Unraveling the Sox4-orchestrated pro-B cell differentiation program: Intricate roles of the RAG and CK1e genes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrated genetic approaches identify the molecular mechanisms of Sox4 in early B-cell development: intricate roles for RAG1/2 and CK1ε.

Sample Metadata Fields

Specimen part

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accession-icon GSE50065
Unraveling the Sox4-orchestrated pro-B cell differentiation program: Intricate roles of the RAG and CK1 genes (RNA array)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

One of the main objective of this study is to identify Sox4 controlled gene networks and their roles in progenitor B cells.

Publication Title

Integrated genetic approaches identify the molecular mechanisms of Sox4 in early B-cell development: intricate roles for RAG1/2 and CK1ε.

Sample Metadata Fields

Specimen part

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accession-icon SRP158145
iNKT cells RNA-Seq (WT vs SFR KO)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA transcriptome difference between WT and SFR KO iNKT cells To understand how SLAM family receptors (SFRs) contribute to iNKT cell development, a mouse lacking all SFRs in addition to the ligand of 2B4, CD48, was generated, and the transcriptional profiles of thymic iNKT cells from wild-type and SFR KO mice were compared, using RNA sequencing. Overall design: Examine RNA expression in WT and SFR KO iNKT cells Thymocytes were isolated from WT and SFR KO mice, and iNKT cells were enriched by negative selection. Unwanted cells (CD11b+ CD11c+ Gr-1+ Ter-119+ CD19+ CD8a+ cells) were targeted for removal with biotinylated antibodies (BioLegend), streptavidin-coated magnetic particles (RapidSpheres) and EasySep magnet (STEMCELL), and followed by staining with mCD1d/PBS-57 and anti-TCR. Then, iNKT cells were sorted with BD FACSAria III (BD Biosciences), and total RNA was isolated from sorted cells according to the manufacturer's instructions using the RNeasy plus micro kit (Qiagen). RNA-Seq library preparation was performed using the Illumina TruSeq Stranded mRNA Kit, according to manufacturer's instructions, and sequenced with Illumina HiSeq 2000 Sequencer. Read quality was confirmed using FastQC v0.10.1 before alignment using TopHat v2.0.10 on the mouse GRCm38/mm10 genome.

Publication Title

SLAM receptors foster iNKT cell development by reducing TCR signal strength after positive selection.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE39539
Fibrillar collagen implicated in pregnancy-induced protection of mammary cancer
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

A suggested role for fibrillr collagen topology in the pregnancy-induced protection and invasive phenotype.

Publication Title

Collagen architecture in pregnancy-induced protection from breast cancer.

Sample Metadata Fields

Cell line

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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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