refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing 4 of 4 results
Sort by

Filters

Technology

Platform

accession-icon SRP090333
RUNX1-ETO and RUNX1-EVI-1 differentially program the chromatin landscape in t(3;21) and t(8;21) AML but share global C/EBP-alpha dysfunction (RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RUNX1 is a frequent target of translocations in acute myeloid leukemia whereby its DNA binding domain fuses to different epigenetic regulators. To assess how different RUNX1 fusion proteins interact with the epigenome we compared the global binding patterns and the chromatin landscape of t(8;21) and t(3;21) AML which express RUNX1-ETO and RUNX1-EVI-1, respectively. We found that differential prognosis for these types of AML is reflected in fundamental differences in gene expression, chromatin landscape, binding patterns of the fusion proteins and other transcription factors as identified by genome-wide digital footprinting in patients. As previously shown for RUNX1-ETO, knockdown of RUNX1-EVI-1 expression initiates differentiation of t(3;21) cells which is associated with up-regulation of genes vital for myeloid differentiation, including C/EBPa. Furthermore, by expressing either dominant-negative C/EBP or an inducible C/EBPa construct in t(3;21) cells we show that C/EBPa is necessary and sufficient for the differentiation response of these cells to RUNX1-EVI-1 knockdown. Overall design: RNA-seq expreiments have been used to study the chromatin landscape of t(8;21) and t(3;21) AML

Publication Title

RUNX1-ETO and RUNX1-EVI1 Differentially Reprogram the Chromatin Landscape in t(8;21) and t(3;21) AML.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP068584
A faithful in vivo model of human MLL-AF4 proB acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1000

Description

Transcriptome analysis by RNAseq of leukemia model promoted by MLL-Af4 or MLL-AF9 fusion proteins. We find each fusion protein promotes a specific gene signature correlating to those identified in patients Overall design: Human CD34+ hematopoietic stem and progenitor cells were transduced with retrovirus expressing MLL-Af4 or MLL-AF9. Transduced cells were transplanted into immunodeficient mice to induce lymphoid leukemia or placed in myeloid in vitro culture. CD19+ lymphoid leukemia cells (3 AF9, 6 Af4), control health CD19+CD34+ proB cells (n=3) and 4 pairs of Af4 and AF9 CD33+CD19- myeloid culture cells were collected for RNA-seq

Publication Title

Instructive Role of MLL-Fusion Proteins Revealed by a Model of t(4;11) Pro-B Acute Lymphoblastic Leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18290
Time course expression data from early Bovine embryo, Human embryo, and Mouse embryo
  • organism-icon Mus musculus, Bos taurus, Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The process of early development of mammals is subtly and accurately controlled by the regulation networks of embryo cells. Time course expression data measured at different stages during early embryo development process can give us valuable information by revealing the dynamic expression patterns of genes in genome wide scale. In this study, bovine embryo expression data were generated at oocyte, one cell stage, two cell stage, four cell stage, eight cell stage, sixteen cell stage, morula, and blastocyst; Human embryo expression data were generated at one cell stage, two cell stage, four cell stage, eight cell stage, morula, and blastocyst; Mouse embryo expression data were generated at one cell stage, two cell stage, four cell stage, eight cell stage, morula, and blastocyst.

Publication Title

Rewirable gene regulatory networks in the preimplantation embryonic development of three mammalian species.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26339
Expression data from pericardial and subcutaneous adipose tissue and adipocytes
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To better characterize the role of whole pericardial adipose tissue (PCAT) in the pathogenesis of disease, we performed a large-scale unbiased analysis of the transcriptional differences between pericardial and subcutaneous adipose tissue, analysing 53 microarrays across 19 individuals.

Publication Title

Pattern specification and immune response transcriptional signatures of pericardial and subcutaneous adipose tissue.

Sample Metadata Fields

Specimen part, Subject

View Samples
Didn't see a related experiment?

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact