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accession-icon SRP021139
Metabolic and Transcriptional Reprogramming in Developing Soybean (Glycine max) Embryos
  • organism-icon Glycine max
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Soybean (Glycine max) seeds are an important source of seed storage compounds, including protein, oil, and sugar used for food, feed, chemical, and biofuel production. We assessed detailed temporal transcriptional and metabolic changes in developing soybean embryos to gain a systems biology view of developmental and metabolic changes and to identify potential targets for metabolic engineering. Two major developmental and metabolic transitions were captured enabling identification of potential metabolic engineering targets specific to seed filling and to desiccation. The first transition involved a switch between different types of metabolism in dividing and elongating cells. The second transition involved the onset of maturation and desiccation tolerance during seed filling and a switch from photoheterotrophic to heterotrophic metabolism. Clustering analyses of metabolite and transcript data revealed clusters of functionally related metabolites and transcripts active in these different developmental and metabolic programs. The gene clusters provide a resource to generate predictions about the associations and interactions of unknown regulators with their targets based on guilt-by-association relationships. The inferred regulators also represent potential targets for future metabolic engineering of relevant pathways and steps in central carbon and nitrogen metabolism in soybean embryos and drought and desiccation tolerance in plants. Overall design: Total mRNA profiles of 10 time course samples of Soybean developing embryos with three replicates per sample were generated by deep sequencing, using Illumina HiSeq 2000

Publication Title

Transcriptome-wide functional characterization reveals novel relationships among differentially expressed transcripts in developing soybean embryos.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE68000
Transcriptome of human liver cells and culture-activated hepatic stellate cells
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

The molecular determinants of a healthy human liver cell phenotype remain largely uncharacterized. In addition, the gene expression changes associated with activation of primary human hepatic stellate cells, a key event during fibrogenesis, remain poorly characterized. Here, we provide the transriptomic profile underpinning the healthy phenotype of human hepatocytes, liver sinusoidal endothelial cells (LSECs) and quiescent hepatic stellate cells (qHSCs) as well as activated HSCs (aHSCs)

Publication Title

Genome-wide analysis of DNA methylation and gene expression patterns in purified, uncultured human liver cells and activated hepatic stellate cells.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE19795
DNA methylation in progenitor cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6_V2_0_R2

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Promoter DNA methylation patterns of differentiated cells are largely programmed at the progenitor stage.

Sample Metadata Fields

Specimen part

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accession-icon GSE48774
Transcriptional responses to high glucose in adipose tissue stem cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanWG-6 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenetic priming of inflammatory response genes by high glucose in adipose progenitor cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE19773
DNA methylation in progenitor cells: expression study
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6_V2_0_R2

Description

We surveyed DNA methylation profiles of all human RefSeq promoters in relation to gene expression and differentiation in adipose tissue, bone marrow and muscle mesenchymal progenitors, as well as in bone marrow-derived hematopoietic progenitors. We unravel strongly overlapping DNA methylation profiles between adipose stem cells (ASCs), bone marrow mesenchymal stem cells (BMMSCs) and muscle progenitor cells (MPCs), while hematopoietic progenitor cells (HPCs) are more epigenetically distant from MSCs seen as a whole. Differentiation resolves a fraction of methylation patterns common to MSCs, generating epigenetic divergence.

Publication Title

Promoter DNA methylation patterns of differentiated cells are largely programmed at the progenitor stage.

Sample Metadata Fields

Specimen part

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accession-icon GSE48773
Effect of high glucose on gene expression in ASCs
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The object of this study was to investigate the effect of elevated glucose concentrations (15 and 25 mM glucose) on gene expression in undifferentiated and adipogenic differentiated ASCs.

Publication Title

Epigenetic priming of inflammatory response genes by high glucose in adipose progenitor cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE48772
Basal gene expression in proliferating ASCs
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

The aim of this study was to characterize basal gene expression for proliferating adipose tissue MSCs, cultured at normal cell culture conditions.

Publication Title

Epigenetic priming of inflammatory response genes by high glucose in adipose progenitor cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE17053
Epigenetic environment of histone H3.3 on promoters revealed by integration of imaging, ChIP-chip, and MeDIP-chip data
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6_V2_0_R2

Description

Epigenetic environment of histone H3.3 on promoters revealed by integration of imaging and genome-scale chromatin and methyl-DNA immunoprecipitation information.

Publication Title

Chromatin environment of histone variant H3.3 revealed by quantitative imaging and genome-scale chromatin and DNA immunoprecipitation.

Sample Metadata Fields

Specimen part

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accession-icon SRP075467
Characterisation of EZH2-deficient human embryonic stem cells [single cell RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 221 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Here we analyse single cell transcriptome profiles of EZH2-deficient human embroynic stem cells Overall design: Single cell transcriptome (mRNA-Seq) from Ezh2-/- (Null) and EZH2+/+ (WT) human ESC

Publication Title

Deletion of the Polycomb-Group Protein EZH2 Leads to Compromised Self-Renewal and Differentiation Defects in Human Embryonic Stem Cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon E-MEXP-168
Transcription profiling of human freshly isolated adipose-derived adult stem cells (ADASCs) vs cultured cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In order to assess whether culturing adipose-derived adult stem cells (ADASCs) affect their gene expression (see Sample Growth Condition Protocol), we wanted to identify possible genes that were differentially expressed between cultured polyclonal CD31- ADASCs and freshly isolated (uncultured) polyclonal CD31- ADASCs. To that end, RNA was isolated from cultured and uncultured ADASCs from three different donors and analyzed using the Affymetrix Microarray HG-U133A. Then, using the Affymetrix program MAS 5.0 we performed three comparisons and could identify differentially expressed transcripts common between the three donors, using the Affymetrix program DMT 3.0.

Publication Title

Isolation and transcription profiling of purified uncultured human stromal stem cells: alteration of gene expression after in vitro cell culture.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Cell line, Subject

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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)

fund-icon Fund the CCDL

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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