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accession-icon GSE32260
Relationship between DNMT1-RNA interactions, DNA methylation and gene expression
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

DNMT1-interacting RNAs block gene-specific DNA methylation.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE32153
Expression data from WT HL60 cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used the microarray analysis to detail the gene expression profile from the leukemic cell line HL-60

Publication Title

DNMT1-interacting RNAs block gene-specific DNA methylation.

Sample Metadata Fields

Cell line

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accession-icon SRP009094
RIPSEQ DNMT1 HL60
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Identification of the all RNA species associated with DNMT1. Using a comparative genome-scale approach we identified and correlated the RNA species physically associated with DNMT1 and proximal to the annotated genes to the methylation status of the corresponding loci and expression levels of the respective genes. This comparative approach delineated the first -DNMT1 centered- 'epitranscriptome' map, a comprehensive map cross-referencing DNMT1-interacting transcripts to (i) DNA methylation and (ii) gene expression profile. Overall design: Relationship between DNMT1-RNA interactions, DNA methylation and gene expression

Publication Title

DNMT1-interacting RNAs block gene-specific DNA methylation.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE5654
Essential role of Jun family transcription factors in PU.1-induced leukemic stem cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Knockdown of the transcription factor PU.1 (Spi1) leads to acute myeloid leukemia (AML) in mice. We examined the transcriptome of PU.1 knockdown hematopoietic stem cells (HSC) in the preleukemic phase by linear amplification and genome-wide array analysis to identify transcriptional changes preceding malignant transformation. Hierarchical cluster analysis and principal component analysis clearly distinguished PU.1 knockdown from wildtype HSC. Jun family transcription factors c-Jun and JunB were among the top downregulated targets. Retroviral restoration of c-Jun expression in bone marrow cells of preleukemic mice partially rescued the PU.1-initiated myelomonocytic differentiation block. Lentiviral restoration of JunB at the leukemic stage led to reduced clonogenic growth, loss of leukemic self-renewal capacity, and prevented leukemia in transplanted NOD-SCID mice. Examination of 305 AML patients confirmed the correlation between PU.1 and JunB downregulation and suggests its relevance in human disease. These results delineate a transcriptional pattern that precedes the leukemic transformation in PU.1 knockdown HSC and demonstrate that decreased levels of c-Jun and JunB contribute to the development of PU.1-induced AML by blocking differentiation (c-Jun) and increasing self-renewal (JunB). Therefore, examination of disturbed gene expression in HSC can identify genes whose dysregulation is essential for leukemic stem cell function and are targets for therapeutic interventions.

Publication Title

Essential role of Jun family transcription factors in PU.1 knockdown-induced leukemic stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE45430
Sox4 is a key oncogenic target in C/EBP mutant Acute Myeloid Leukemia
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mutation or epigenetic silencing of the transcription factor C/EBP is observed in ~10% of patients with acute myeloid leukemia (AML). In both cases, a common global gene expression profile is observed, but down-stream targets relevant for leukemogenesis are not known. Here we identify Sox4 as a direct target of C/EBP whereby its expression is inversely correlated with C/EBP activity. Downregulation of Sox4 abrogated increased self-renewal of leukemic cells and restored their differentiation. Gene expression profiles of leukemia initiating cells (LICs) from both Sox4 overexpression and murine mutant C/EBP AML models clustered together, but differed from other types of AML. Our data demonstrate that Sox4 overexpression resulting from C/EBP inactivation contributes to the development of leukemias with a distinct LIC phenotype.

Publication Title

Sox4 is a key oncogenic target in C/EBPα mutant acute myeloid leukemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE139870
Comparison of MPA regulated gene expression profiles to those regulated by PROG, DHT, DEX
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Medroxyprogesterone acetate (MPA) is a progestin that can bind to and activate progesterone, androgen and glucocorticoid receptors. However, it is not known which receptor mediates MPA action in a cellular context where all three of these receptors are co-expressed and functional.

Publication Title

Anti-proliferative transcriptional effects of medroxyprogesterone acetate in estrogen receptor positive breast cancer cells are predominantly mediated by the progesterone receptor.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE49107
Oxidative stress induces mitochondrial dysfunction and a protective unfolded protein response in RPE cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

How retinal pigmented epithelial (RPE) cells degenerate from oxidative stress in age-related macular degeneration (AMD) is incompletely understood. The study's intent was to identify key cytoprotective pathways activated by oxidative stress, and to determine the extent of their protection. Immunohistochemistry was used to identify the unfolded protein response (UPR) and mitochondria in the RPE of AMD samples. Maculas with early AMD had prominent IRE1, but minimal mitochondrial TOM20 immunolabeling in mildly degenerated RPE. RPE cells treated with cigarette smoke extract (CSE), by microarray analysis, had over-represented genes involved in the antioxidant and unfolded protein response, and mitochondrial location. CSE induced the UPR sensors IRE1, p-PERK, and ATP6, which activated CHOP. CHOP knockdown compromised cell viability after CSE exposure. At the same CSE doses, mitochondria generated superoxide anion and produced less ATP. In mice given intravitreal CSE, the RPE had increased IRE1 and decreased ATP, which elicited RPE epithelial-mesenchymal transition, as suggested by altered ZO1 immunolabeling of RPE flatmounts. Our experiments indicate that RPE cells exposed to oxidative stress respond with a cytoprotective antioxidant and unfolded protein response, but develop mitochondrial impairment that contributed to epithelial mesenchymal transition. With similar responses in the RPE of early AMD samples, these results suggest that mitochondria are vulnerable to oxidative stress while the ER elicits a protective response during early AMD.

Publication Title

Oxidative stress induces mitochondrial dysfunction and a protective unfolded protein response in RPE cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE72753
Beta cell markers of aging have heterogeneous distribution in islets and are induced by insulin resistance
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Our hypothesis was that at any given point in time, islets will contain differing populations of beta cells at different stages of their lifecycle, with further changes occurring with metabolic stress and aging. We examined subpopulations of beta cells isolated from MIP-GFP mice on the basis of their insulin transcriptional activity and in their expression of p16Ink4a. In addition, using aging C57Bl/6 mice as a model, markers of beta cell aging were identified and validated: Igf1r and Cd99 expression increased with age, whereas Kcnq5 was decreased with age. These markers were correlated with an age-related decline in function. The functional aging of beta cells was accelerated by S961, an antagonist to the insulin receptor, which induced insulin resistance. Particularly surprising was the finding of marked islet heterogeneity as demonstrated with the marked staining differences of the markers: Igf1r, Cd99 and Kcnq5. These novel findings about beta cell and islet heterogeneity, and how they change with age, open up an entirely new set of questions that must be addressed about the pathogenesis of type 2 diabetes. The present study has identified new markers of aging in beta cells and found that the expression of these and other markers can be increased by insulin resistance. This provides insight into how insulin resistance might accelerate the death of beta cells. In addition, striking heterogeneity among islets was found, which opens up new ways to think about islet biology and the pathogenesis of T2D.

Publication Title

β Cell Aging Markers Have Heterogeneous Distribution and Are Induced by Insulin Resistance.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP095007
mRNA expression levels in splenic human mononuclear cells of mock- and HIV-1-infected humanized mice
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Through RNA sequencing and gene ontology analyses, we report that immune activation is elicited in the spleen of 4 HIV-1-infected humanized mice when compared to 4 mock-infected humanized mice. Overall design: mRNA expression profiles in the splenic human mononuclear cells of HIV-1-infected humanized mice at 6 weeks post-infection (n=4) and mock-infected humanized mice (n=4) were generated by RNA sequencing. RNA was extracted using QIAamp RNA Blood Mini kit (Qiagen). RNA sequencing was conducted in Medical & Biological Laboratories, co (Nagoya, Japan).

Publication Title

HIV-1 competition experiments in humanized mice show that APOBEC3H imposes selective pressure and promotes virus adaptation.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon SRP060637
Cas9 gRNA engineering for selectable genome editing, activation and repression
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconNextSeq500

Description

RNA-Seq after Cas9-gRNA transfection with different length gRNAs Overall design: we performed PolyA Selection and RNA-Seq on cells transfected with dCas9-VPR and a gRNA of each length (20nt, 16nt, or 14nt) targeting ACTC1, MIAT, or HBG1/2

Publication Title

Cas9 gRNA engineering for genome editing, activation and repression.

Sample Metadata Fields

No sample metadata fields

View Samples

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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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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