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accession-icon SRP033261
Whole transcriptomic sequencing of zebrafish rx3 mutants during optic vesicle morphogenesis
  • organism-icon Danio rerio
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

To identify genes regulated by Rx3 during optic vesicle morphogenesis, adult zebrafish carriers of a null rx3 mutation were mated. Before 13 hours post fertilization (hpf), the earliest time point at which optic vesicle evagination phenotypes could be reliably detected, offspring were phenotypically separated into pools comprising of mutants with an absence of optic vesicles or siblings exhibiting a wild-type phenotype. Three replicates of pooled RNA samples from 13 hpf eyeless mutants (rx3-/-) or phenotypically wild-type siblings (rx3+/+ or rx3+/-), and one replicate of 13 hpf wild-type zebrafish larva were collected for whole transcriptome sequencing. Overall design: Whole transcriptome sequencing (RNA-seq) was performed on zebrafish rx3-/- mutants, wild-type siblings and wild-type AB strains at 13 hpf

Publication Title

Genes and signaling networks regulated during zebrafish optic vesicle morphogenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE51337
Divergent functions of hematopoietic transcription factors in lineage priming and differentiation during erythro-megakaryopoiesis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Combinatorial actions of relatively few transcription factors control hematopoietic differentiation. To investigate this process in erythro-megakaryopoiesis, we correlated the genome-wide chromatin occupancy signatures of four master hematopoietic transcription factors (GATA1, GATA2, TAL1, and FLI1) and three diagnostic histone modification marks with the gene expression changes that occur during development of primary cultured megakaryocytes (MEG) and primary erythroblasts (ERY) from murine fetal liver hematopoietic stem/progenitor cells. We identified a robust, genome-wide mechanism of MEG-specific lineage priming by a previously described stem/progenitor cell-expressed transcription factor heptad (GATA2, LYL1, TAL1, FLI1, ERG, RUNX1, LMO2) binding to MEG-associated cis-regulatory modules (CRMs) in multipotential progenitors. This is followed by genome-wide GATA factor switching that mediates further induction of MEG-specific genes following lineage commitment. Interaction between GATA and ETS factors appears to be a key determinant of these processes. In contrast, ERY-specific lineage priming is biased toward GATA2-independent mechanisms. In addition to its role in MEG lineage priming, GATA2 plays an extensive role in late megakaryopoiesis as a transcriptional repressor at loci defined by a specific DNA signature. Our findings reveal important new insights into how ERY and MEG lineages arise from a common bipotential progenitor via overlapping and divergent functions of shared hematopoietic transcription factors.

Publication Title

Divergent functions of hematopoietic transcription factors in lineage priming and differentiation during erythro-megakaryopoiesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE49664
Divergent functions of hematopoietic transcription factors in lineage priming and differentiation during erythro-megakaryopoiesis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Combinatorial actions of relatively few transcription factors control hematopoietic differentiation. To investigate this process in erythro-megakaryopoiesis, we correlated the genome-wide chromatin occupancy signatures of four master hematopoietic transcription factors (GATA1, GATA2, SCL/TAL1 and FLI1) and three diagnostic histone modification marks with the gene expression changes that occur during development of primary megakaryocytes (MEG) and erythroblasts (ERY) from murine fetal liver hematopoietic stem/progenitor cells. We identified a robust, genome-wide mechanism of MEG-specific lineage priming by a previously described stem/progenitor cell-expressed transcription factor heptad (GATA2, LYL1, SCL/TAL1, FLI1, ERG, RUNX1, LMO2) binding to MEG-specific cis-regulatory modules in multipotential hematopoietic progenitors. This is followed by genome-wide GATA factor switching that mediates further induction of MEG-specific genes following lineage commitment. Interaction between GATA and ETS factors appears to be a key determinant of these processes. In contrast, ERY-specific lineage priming occurs is biased toward GATA2-independent mechanisms. In addition to its role in MEG lineage priming, GATA2 plays an extensive role in late megakaryopoiesis as a transcriptional repressor at loci defined by a specific DNA signature. Our findings reveal important new insights into how ERY and MEG lineages arise from a common bipotential precursor via overlapping and divergent functions of shared hematopoietic transcription factors.

Publication Title

Divergent functions of hematopoietic transcription factors in lineage priming and differentiation during erythro-megakaryopoiesis.

Sample Metadata Fields

Specimen part

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accession-icon SRP084270
Inhibition of ERG Activity in Patient Derived Prostate Cancer Xenografts using the Small Molecule Inhibitor YK-4-279
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

ERG activity was blocked using YK-4-279 in three subcutaneously implanted ERG+ (LuCaP 23.1, 86.2, and 35) and one ERG- (LuCaP 96) PDX. Tumor volume (TV), body weight (BW), serum prostate specific antigen (PSA), and overall survival (OS) were compared to vehicle treated controls. Changes in gene expression were assessed by RNASeq and tissue microarrays were constructed to assess necrosis, proliferation, apoptosis, microvessel density, and ERG expression. Overall design: RNA sequencing of tumors from from 16 animals (2 control, 2 treated from each of four patient derived xenograft lines) using Illumina HiSeq 2500.

Publication Title

Inhibition of ERG Activity in Patient-derived Prostate Cancer Xenografts by YK-4-279.

Sample Metadata Fields

Sex, Treatment, Subject

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accession-icon GSE21912
The Polycomb Group Protein Bmi-1 is essential for the growth of Multiple Myeloma cells
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The RPMI-8226 human multiple myeloma cell line was stably infected with either a validated shRNA against BMI1 or a control shRNA. RNA was prepared from these lines, +/- doxycycline induction and at various time points post-induction. Samples were hybridized on the Affymetrix U133plus2 human genome expression microarray.

Publication Title

The Polycomb group protein Bmi-1 is essential for the growth of multiple myeloma cells.

Sample Metadata Fields

Cell line

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accession-icon GSE81302
Expression data from rat brain following ischemic stroke or undercut
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

Although it is well known that stroke and head trauma are one of the high risk factors for the development of acquired epilepsy, the cellular mechanisms underlying the epileptogenesis is not well understood. Using rodent models of ischemic stroke and head trauma (partial cortical isolation, undercut), we comparatively analyzed transcription profiles between two different models to explore the commonality.

Publication Title

TGFβ signaling is associated with changes in inflammatory gene expression and perineuronal net degradation around inhibitory neurons following various neurological insults.

Sample Metadata Fields

Sex, Specimen part, Treatment, Time

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accession-icon GSE7578
shRNA-mediated knock down of Bmi-1 and Mel-18 in medulloblastoma cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Bmi-1 and Mel-18 are close structural homologues that belong to the polycomb group (PcG) of transcriptional regulators of homeotic gene expression in development. They are believed to stably maintain repression of gene expression by altering the state of chromatin at specific promoters. A number of clinical and experimental observations have also implicated Bmi-1 in tumorigenesis and stem cell maintenance. Bmi-1 overexpression or amplification has been observed in a number of human malignancies, particularly in B-cell lymphomas, medulloblastomas and breast cancer. We report here that shRNA-mediated knock-down of either Bmi-1 or Mel-18 in human medulloblastoma DAOY cells results in the inhibition of proliferation, loss of clonogenic survival and anchorage-independent growth, and suppression of xenograft tumor formation in nude mice. Furthermore, overexpression of both Bmi-1 and Mel-18 significantly increased clonogenic survival of Rat1 fibroblasts. In contrast, stable downregulation of Bmi-1 or Mel-18 alone did not affect the growth of SK-OV-3 or U2OS cancer cell lines or normal human WI38 fibroblasts. Gene expression analysis of shRNA-expressing DAOY cells has demonstrated a significant overlap in the Bmi-1- and Mel-18-regulated genes and revealed novel gene targets under their control. Taken together, these results suggest that Bmi-1 and Mel-18 might have overlapping functions in human tumorigenesis.

Publication Title

Contribution of polycomb homologues Bmi-1 and Mel-18 to medulloblastoma pathogenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE58588
Expression profiling of proliferative T-HEp3 and dormant D-HEp3 HNSCC cells in vivo
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The objective of this study was to obtain expression profiles of proliferative T-HEp3-GFP and dormant D-HEp3-GFP cells after one week in vivo. The second objective was find tumor cells quiescence associated genes in dormant D-HEp3 cells that are only quiescent when injected in vivo. In this case we compared cells one week growing vs. dormant for the indicated cells in chick embryo CAMs. After one week 5 embryos per cell line carrying the indicated cells were isolated, tumors collagenased as described below and sorted for GFP-high cells usig a MoFlo machine. The sorted cells > 5x10^4 were used to extract RNA and the pure RNA was used to perform expression profiling using the Affymetrix HG-u133plus2 arrays. Because of the low amount of D-HEp3 (dormant) cells recovered all tumor cells from the dormant nodules were pooled. The same was done for proliferative-sorted T-HEp3-GFP cells to allow comparisons. Arrays were performed in triplicate.

Publication Title

NR2F1 controls tumour cell dormancy via SOX9- and RARβ-driven quiescence programmes.

Sample Metadata Fields

Specimen part

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accession-icon GSE49370
Role of Fzd2 in lung epithelium development
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Fzd2 is a Wnt receptor expressed in the embryonic lung. We made a conditional knockout of Fzd2 to specifically address the role of signaling through Fzd2 in lung epithelial development.

Publication Title

Wnt ligand/Frizzled 2 receptor signaling regulates tube shape and branch-point formation in the lung through control of epithelial cell shape.

Sample Metadata Fields

Specimen part

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accession-icon GSE39461
Role of PRC2 complex components in prostate cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 12 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

EZH2 oncogenic activity in castration-resistant prostate cancer cells is Polycomb-independent.

Sample Metadata Fields

Cell line, 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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