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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

View Samples
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 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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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

View Samples
accession-icon SRP078974
RNA-seq analysis comparing WT, Rad21 MO and CTCF MO zebrafish embryos at stages (2.5, 3.3, 4.5, 5.3, 10 hpf) pre and post ZGA (zygotic genome activation)
  • organism-icon Danio rerio
  • sample-icon 45 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Methods: Triplicate RNA samples from morphologically stage-matched embryos were sequenced to compare expression profiles over time. Strand-specific libraries were prepared using the TruSeq stranded total RNA-ribozero kit (Illumina) and 100-bp paired-end sequencing was performed to depth of 10 million reads per library on an Illumina HiSeq 2000. Methods: On average, 19 million 100 bp paired-end reads per library were generated. These were then adapter and quality trimmed using cutadapt and SolexaQA. Each sequencing data set was independently mapped to the zebrafish genome with a bowtie2 index generated from Danio_rerio.Zv9.70 (Ensembl) downloaded from Illumina's iGenomes collection. Zebrafish genome danRer7was used to provide known transcript annotations from Ensembl using TopHat2 (version 2.0.9) with the following options: “tophat2 --GTF genes.gtf --library-type fr-firststrand -p 24 --mate-inner-dist -8 --mate-std-dev 6 zv9” (on average, 75.38% reads mapped uniquely to the genome). Transcriptomes were assembled with Cufflinks (version 2.2.0) using options: 'cufflinks -p 32 --GTF genes.gtf' and differential expression analysis between control and knockdown embryos was performed using Cuffdiff. A FDR corrected p-value of 0.05 was applied as the cut off to identify differentially regulated transcripts Results: We could show that MO assisted depletion of Rad21 and CTCF affected the transcriptional profiles of embryos in different ways. Overall design: mRNA profiles of (2.5, 3.3, 4.5, 5.3, 10 hpf) wild type (WT) and morpholino depleted Rad21 MO (Rad21) and CTCF MO (CTCF) embryos were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000.

Publication Title

Cohesin facilitates zygotic genome activation in zebrafish.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP131871
TAD cliques shape the 4-dimensional genome during dual lineage terminal differentiation
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon

Description

How genomic information is selectively utilized to direct spatial and temporal gene expression patterns during differentiation remains to be elucidated but it is clear that regulated changes in higher-order genomic architecture plays a fundamental role. Specifically, long range interactions within and between chromosomes and the position of chromosome territories in the nucleus are controlled by TADs and LADs respectively, but the relationship between these genomic organizers remains poorly understood Overall design: We analyzed the large-scale spatial reorganization of chromatin by generating matched Hi-C and nuclear lamin-chromatin contact datasets throughout a dual adipose/neuronal induction of human primary adipose stem cells. We have mapped Hi-C (TADs) and lamin-associated domains (LADs) in multiple steps during adipose stem cell differentiation to characterize the spatial and temporal link between genomic architecture and gene expression. We identify a new level of 4D genomic organization involving a long-range clustering of individual TADs or TAD pairs into TAD cliques. LADs appear to regulate their formation. (ASCs). We unveil a lineage-specific dynamic assembly and disassembly of repressive cliques of linearly non-contiguous TADs, and a time course-coupled relationship between TAD clique size and lamina association. Our findings reveal a new level of developmental genome organization and provide an overview of large-scale changes in the 4D nucleome during lineage-specific differentiation.

Publication Title

Long-range interactions between topologically associating domains shape the four-dimensional genome during differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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