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accession-icon SRP061689
EHMT1 and EHMT2 inhibition induce fetal hemoglobin expression [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Using UNC0638 and genetic assays to inhibit EHMT1/2 and derepress fetal hemoglobin in adult hematopoietic cells. Overall design: RNA-Seq in primary adult human erythroid cells treated with UNC0638 or the vehicle control (DMSO) in biological triplicates.

Publication Title

EHMT1 and EHMT2 inhibition induces fetal hemoglobin expression.

Alternate Accession IDs

GSE71421

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18027
BTG1 regulates glucocorticoid receptor autoinduction in acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

RNAi mediated knockdown of BTG1 in the acute lymphoblastic cell line RS4;11 causes this cell line to become resistant to prednisolone treatment when compared to control cells.

Publication Title

BTG1 regulates glucocorticoid receptor autoinduction in acute lymphoblastic leukemia.

Alternate Accession IDs

E-GEOD-18027

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE151027
Gene expression changes in human cord blood-derived hematopoietic stem and progenitor cells upon Centrifugation enhanced Nanostraw Transfection or Conventional Electroporation
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

CD34+ human cord blood-derived cells were subjected to GFP mRNA delivery or mock treatment using Centrifugation enhanced Nanostraw Transfection (CeNT) or conventional electroporation.

Publication Title

Efficient and nontoxic biomolecule delivery to primary human hematopoietic stem cells using nanostraws.

Alternate Accession IDs

E-GEOD-151027

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE30377
Human Hematopoietic and Leukemic Stem Cell Gene Expression Profiles
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix HT Human Genome U133A Array (hthgu133a), Affymetrix Human Genome U133B Array (hgu133b)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Stem cell gene expression programs influence clinical outcome in human leukemia.

Alternate Accession IDs

E-GEOD-30377

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE30375
Gene expression data from sorted and unsorted primary human acute myeloid leukemia (AML) samples
  • organism-icon Homo sapiens
  • sample-icon 92 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Experiments using xenografts show that some solid tumours and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSC). Despite promise, the relevance of the CSC model to human disease remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model based on sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSC) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSC and HSC, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and also found in existing prognostic signatures. Thus, determinants of stemness influence clinical outcome of AML establishing that LSC are clinically relevant and not mere artifacts of xenotransplantation.

Publication Title

Stem cell gene expression programs influence clinical outcome in human leukemia.

Alternate Accession IDs

E-GEOD-30375

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE30376
Gene expression data from sorted primary human cord blood samples
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Genome U133B Array (hgu133b)

Description

Experiments using xenografts show that some solid tumours and leukemias are organized as cellular hierarchies sustained by cancer stem cells (CSC). Despite promise, the relevance of the CSC model to human disease remains uncertain. Here we show that acute myeloid leukemia (AML) follows a CSC model based on sorting multiple populations from each of 16 primary human AML samples and identifying which contain leukemia stem cells (LSC) using a sensitive xenograft assay. Analysis of gene expression from all functionally validated populations yielded an LSC-specific signature. Similarly, a hematopoietic stem cell (HSC) gene signature was established. Bioinformatic analysis identified a core transcriptional program shared by LSC and HSC, revealing the molecular machinery underlying stemness properties. Both stem cell programs were highly significant independent predictors of patient survival and also found in existing prognostic signatures. Thus, determinants of stemness influence clinical outcome of AML establishing that LSC are clinically relevant and not mere artifacts of xenotransplantation.

Publication Title

Stem cell gene expression programs influence clinical outcome in human leukemia.

Alternate Accession IDs

E-GEOD-30376

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP091435
Adaptive chromatin remodeling in glioblastoma stem cell plasticity and drug tolerance
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon

Description

Many cancers are postulated to harbor developmental hierarchies in which cells display variability in stem-like character, tumor propagating ability, and proliferation. In glioblastoma (GBM), glioma stem cells (GSCs) reside atop such a tumor cellular hierarchy, and are thought to resist current therapies and thus underlie inevitable relapse. Here we show that GSCs can evade RTK inhibition by reversibly regressing to a slow-cycling state reminiscent of quiescent neural stem cells. This process involves up-regulation of numerous histone demethylases, including KDM6A/B, which remodel the chromatin landscape and are selectively essential for drug persister survival. Chromatin remodeling is accompanied by activation of various neurodevelopmental master regulators and Notch signaling, changes which closely parallel critical aspects of neural stem cell biology. Thus our findings illustrate how cancer cells may hijack native developmental programs for deranged proliferation, adaptation, and tolerance in the face of stress. Our studies highlight key roles for chromatin remodeling and developmental plasticity in GBM biology, and suggest strategies for overcoming therapeutic resistance by targeting epigenetic and developmental pathways. Overall design: ChIP-seq for histone modifications and Notch factors in glioblastoma stem cell lines with various drug treatments RNA-seq in glioblastoma stem cell lines with various drug treatments

Publication Title

Adaptive Chromatin Remodeling Drives Glioblastoma Stem Cell Plasticity and Drug Tolerance.

Alternate Accession IDs

GSE74557

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP119759
RIG-I-Like-Receptors Induce Unique and Complimentary Transcriptional Programs Following West Nile Virus Infection Leading to Macrophage Polarization and Protection
  • organism-icon Mus musculus
  • sample-icon 58 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The study shows that RLRs drive distinct immune gene activation and polarization of the immune response. In our data, the RLR-dependent, WNV-induced immune response polarization overshadows the classical drivers of viral innate immune responses, interferon I (IFN) and IFN-stimulated genes, thus underscoring the importance of innate immune activation for channeling the adaptive immune system into specific effector pathways Overall design: We conducted genome-wide RNAseq and bioinformatics analysis of WNV infection in bone marrow derived macrophages from the RLR-deficient mice.

Publication Title

RIG-I-like receptors direct inflammatory macrophage polarization against West Nile virus infection.

Alternate Accession IDs

GSE104817

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE60352
Analyses of iHC transcriptome profiles
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Mechanosensory hair cells (HCs) are the primary receptors of our senses of hearing and balance. However, very little is known about the transcriptional regulators involved in HC fate determination and differentiation. In this paper, we show that expression of three HC lineage-specific transcription factors: Gfi1, Pou4f3 and Atoh1, can induce a direct commitment towards HC fate during in vitro embryonic stem cell (ESC) differentiation. Induced HCs (iHCs) express numerous HC-specific genes and exhibit polarized membrane protusions reminiscent of stereociliary bundles.

Publication Title

Generation of sensory hair cells by genetic programming with a combination of transcription factors.

Alternate Accession IDs

E-GEOD-60352

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE79417
Expression data of Brain CD45+ cells from WT and STI knockout mice after WNV infection
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

West Nile virus (WNV) is the most important cause of endemic encephalitis in the USA. Strikingly, only a small percentage of patients develop clinical disease and of these patients, approximately 1 out of 150 patients develops encephalitis. The basis for this great variability in disease outcome is unknown, but may be related to the innate immune response. Innate immune responses, critical for control of WNV infection, are initiated by signaling through pathogen recognition receptors (PRR) such as RIG-I and MDA5. IPS-1 is a key adaptor in generating a PRR-dependent interferon response.. Here we show that IPS-1 deficiency in hematopoietic cells resulted in increased mortality and delayed WNV clearance from the brain. In IPS-1-/- mice, a dysregulated immune response was detected, characterized by a massive influx of macrophages and virus-specific T cells into the infected brain. These T cells were multifunctional and were able to lyse peptide-pulsed target cells in vitro. However, virus-specific T cells in the infected IPS-1-/- brain exhibited lower functional avidity than those in C57BL/6 brains, possibly contributing to less efficient virus clearance. The presence of virus-specific memory T cells was also not protective. We also show that macrophages were increased in numbers in the IPS-1-/- brain. Both macrophages and microglia exhibited an activated phenotype. Microarray analyses showed the preferential upregulation of genes associated with leukocyte activation and inflammation. Together, these results demonstrate the critical role that hematopoietic cell expression of Type 1 interferon and other IPS-1-dependent molecules have in WNV clearance and in regulating the inflammatory response.

Publication Title

MAVS Expressed by Hematopoietic Cells Is Critical for Control of West Nile Virus Infection and Pathogenesis.

Alternate Accession IDs

E-GEOD-79417

Sample Metadata Fields

Specimen part, Time

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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