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accession-icon GSE9196
Comparison of ES, EB, and Blast cells to breast epithelial, leuckocytes, endothelial and stromal cells
  • organism-icon Homo sapiens
  • sample-icon 48 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

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9086
Reanalysis of GSE8884 Samples with Breast Epithelial Samples from GSE3744.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the differentiation process of embryonic stem cells into hemangioblasts, gene expression profiles of ES, EB and Blast cells (BL) were analyzed.

Publication Title

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9091
Reanalysis of GSE8884 Samples with Leukocyte Samples from GSE3284.
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the differentiation process of embryonic stem cells into hemangioblasts, gene expression profiles of ES, EB and Blast cells (BL) were analyzed.

Publication Title

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9090
Reanalysis of GSE8884 Samples with Stromal Samples from GSE3998.
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the differentiation process of embryonic stem cells into hemangioblasts, gene expression profiles of ES, EB and Blast cells (BL) were analyzed.

Publication Title

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9089
Reanalysis of GSE8884 Samples with Endothelial Samples from GSE3998.
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the differentiation process of embryonic stem cells into hemangioblasts, gene expression profiles of ES, EB and Blast cells (BL) were analyzed.

Publication Title

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE8884
Expression data from human embryonic stem cells, early stage embryoid bodies, and hES-derived blast cells.
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the differentiation process of embryonic stem cells into hemangioblasts, gene expression profiles of ES, EB and Blast cells (BL) were analyzed.

Publication Title

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP108039
Single-cell RNA-seq following APE1/Ref-1 knockdown in Pancreatic Ductal Adenocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 89 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

APE1 was knocked down using siRNA in low passage patient-derived PDAC cells and the resulting cells, along with control cells were analysed using scRNA-seq to identify differentially expressed genes and pathways as a result of APE1 knock-down. Overall design: siRNA APE1 knock-down versus scrambled control, The SMARTer system was used to generate cDNA from 96 captured single cells. Unstranded 2x100bp reads were sequenced using a HiSeq2500 on rapid run mode in 1 lane.

Publication Title

APE1/Ref-1 knockdown in pancreatic ductal adenocarcinoma - characterizing gene expression changes and identifying novel pathways using single-cell RNA sequencing.

Sample Metadata Fields

Subject

View Samples
accession-icon SRP054257
PATZ1 is a DNA damage responsive transcription factor that inhibits p53 function
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Insults to cellular health cause p53 protein accumulation and loss of p53 function leads to tumorigenesis. Thus, p53 has to be tightly controlled. Here we report that the BTB/POZ domain transcription factor PATZ1 (MAZR), previously known for its transcriptional suppressor functions in T lymphocytes, is a crucial regulator of p53. The novel inhibitory role of PATZ1 on the p53 protein marks it as a proto-oncogene. PATZ1 deficient cells have reduced proliferative capacity which we assess by RNASeq and real time cell growth rate analysis. PATZ1 modifies the expression of p53 target genes associated with cell proliferation gene ontology terms. Moreover, PATZ1 regulates several genes involved in cellular adhesion and morphogenesis. Significantly, treatment with the DNA damage inducing drug doxorubicin results in the loss of the PATZ1 transcription factor, as p53 accumulates. We find that PATZ1 binds to p53 and inhibits p53 dependent transcription activation. We examine the mechanism of this functional inhibitory interaction and demonstrate that PATZ1 excludes p53 from DNA binding. This study documents PATZ1 as a novel player in the p53 pathway. Overall design: RNA-seq was used to define differentially expressed genes in wild-type and PATZ1-/- MEFs. Each sample was represented in triplicate.

Publication Title

PATZ1 Is a DNA Damage-Responsive Transcription Factor That Inhibits p53 Function.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP067737
Polycomb dysregulation in gliomagenesis targets a Zfp423-dependent differentiation network [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Malignant gliomas constitute one of the most significant areas of unmet medical need, due to the invariable failure of surgical eradication and their marked molecular heterogeneity. Accumulating evidence has revealed a critical contribution by the Polycomb axis of epigenetic repression. However, a coherent understanding of the regulatory networks affected by Polycomb during gliomagenesis is still lacking. Here we integrate transcriptomic and epigenomic analyses to define Polycomb-dependent networks that promote gliomagenesis, validating them both in two independent mouse models and in a large cohort of human samples. We found that Polycomb dysregulation in gliomagenesis affects transcriptional networks associated to invasiveness and de-differentiation. The dissection of these networks uncovers Zfp423 as a crtitical Polycomb-dependent transcription factor whose silencing negatively impacts survival. The anti-gliomagenic activity of Zfp423 requires interaction with the SMAD proteins within the BMP signaling pathway, pointing to a novel synergic circuit through which Polycomb inhibits BMP signaling. Overall design: Transcriptomic analysis of two different stages of gliomagenesis

Publication Title

Polycomb dysregulation in gliomagenesis targets a Zfp423-dependent differentiation network.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP162549
KMT2B is selectively required for neuronal transdifferentiation [RNAseq]
  • organism-icon Mus musculus
  • sample-icon 457 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transdifferentiation of fibroblasts into induced Neuronal cells (iNs) by neuronal-specific transcription factors Brn2, Myt1l and Ascl1 is a paradigmatic example of inter-lineage conversion across epigenetically distant cells. Despite tremendous progress on the transcriptional hierarchy underlying transdifferentiation, the enablers of the concomitant epigenome resetting remain to be elucidated. Here we investigated the role of KMT2A and KMT2B, two histone H3 lysine 4 methylases with cardinal roles in development, through individual and combined inactivation. We found that Kmt2b, whose human homologue's mutations cause dystonia, is selectively required for iN conversion through the suppression of the alternative myocyte program and the induction of neuronal maturation genes. Overall design: In order to study the role of KMT2A and KMT2B during transdifferentiation, we employed conditional mouse strains carrying: i) the exon 2 of Kmt2a and/or Kmt2b flanked by LoxP sites; ii) the knock-in of the YFP-coding gene into one Rosa26 allele, downstream of a LoxP-flanked transcription termination cassette (STOP cassette); and iii) the gene coding for the tamoxifen-inducible version of Cre recombinase knocked into the second Rosa26 allele (Glaser et al., 2006; Kranz et al., 2010; Testa et al., 2004). MEFs were derived from Kmt2a (and/or Kmt2b)fl/fl Cre+ YFP+ embryos and from Kmt2a+/+Kmt2b+/+ Cre+ YFP+ or Kmt2afl/+ Cre+ YFP+ for Kmt2a conditional KO (cKO) as controls (Figure 1A), and were subjected to transdifferentiation. After 13 days of BAM treatment, cells were FACS sorted for PSA-NCAM expression, and the transcriptome of positive and negative cells were independently profiled.

Publication Title

KMT2B Is Selectively Required for Neuronal Transdifferentiation, and Its Loss Exposes Dystonia Candidate Genes.

Sample Metadata Fields

Specimen part, Subject

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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