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accession-icon GSE59591
Loss of TET2 in hematopoietic cells leads to DNA hypermethylation of active enhancers and induction of leukemogenesis
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconAgilent-028005 SurePrint G3 Mouse GE 8x60K Microarray (Probe Name version), Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Loss of TET2 in hematopoietic cells leads to DNA hypermethylation of active enhancers and induction of leukemogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE59586
Loss of TET2 in hematopoietic cells leads to DNA hypermethylation of active enhancers and induction of leukemogenesis (Affymetrix)
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st), Agilent-028005 SurePrint G3 Mouse GE 8x60K Microarray (Probe Name version)

Description

DNA methylation is tightly regulated throughout mammalian development and altered DNA methylation patterns are a general hallmark of cancer. The methylcytosine dioxygenase TET2 is frequently mutated in hematological disorders, including acute myeloid leukemia (AML), and has been suggested to protect CpG islands and promoters from aberrant DNA methylation. In this study, we present a novel Tet2-dependent leukemia mouse model that closely recapitulates gene expression profiles and hallmarks of human AML1-ETO induced AML. Using this model, we show that the primary effect of Tet2 loss in pre-leukemic hematopoietic cells is progressive and widespread DNA hypermethylation affecting up to 25% of active enhancer elements. In contrast, CpG island and promoter methylation does not change in a Tet2-dependent manner, but increase relative to population doublings. We confirm this specific enhancer hypermethylation phenotype in human AML patients with TET2 mutations. Analysis of immediate gene expression changes reveals rapid deregulation of a large number of genes implicated in tumorigenesis, including many downregulated tumor suppressor genes. Hence, we propose that TET2 prevents leukemic transformation by protecting enhancers from aberrant DNA methylation, and that it is the combined silencing of several tumor suppressor genes in TET2-mutated hematopoietic cells that contribute to increased stem cell proliferation and leukemogenesis.

Publication Title

Loss of TET2 in hematopoietic cells leads to DNA hypermethylation of active enhancers and induction of leukemogenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon ERP004763
S. cerevisiae WT vs snf2 KO mutant RNA-seq data with 7 technical and 48 biological replicates (336 total) of each condition
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 644 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

High-throughput RNA sequencing (RNA-seq) is now the standard method to determine differential gene expression. Here, a 48 replicate, two condition RNA-seq experiment was designed specifically to test assumptions about RNA-seq read count variability models and the performance of methods for differential gene expression analysis by RNA-seq. Samples were run on an Illumina HiSeq for 50 cycles single-end and included ERCC RNA spike-ins. The high-replicate data allowed for strict quality control and screening of 'bad' replicates. The experiment allowed the effect of bad replicates to be assessed as well as providing guidelines for the number of replicates required for differential gene expression analysis and the most appropriate statistical tools. The mapping between technical replicates and biological replicates is provided via FigShare http://dx.doi.org/10.6084/m9.figshare.1416210 The gene read counts are also available on FigShare: https://dx.doi.org/10.6084/m9.figshare.1425503 https://dx.doi.org/10.6084/m9.figshare.1425502

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP100399
A Comprehensive Mouse Transcriptomic BodyMap across 17 Tissues by RNA-seq
  • organism-icon Mus musculus
  • sample-icon 72 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

Description

we construct a comprehensive mouse transcriptomic BodyMap across 17 tissues of six-weeks old C57BL/6JJcl mice using RNA-seq. We find different expression patterns between protein-coding and non-coding genes. Liver and adrenal gland expressed the least complex transcriptome, whereas testis and ovary harbor more complex transcriptome than other tissues. We report a comprehensive list of tissue-specific genes across 17 tissues. Our study provides a unique resource of mouse gene-expression profiles, which is helpful for further biomedical research.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP072270
Single-cell RNA-Seq in mouse embryos
  • organism-icon Mus musculus
  • sample-icon 50 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To investigate the random X chromosome inactivation in vivo, we used allelic-specific RNA sequencing of single cells in mouse model. The intercross was between two genetically distant strains, C57BL/6 and PWK/Ph.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Cell line

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accession-icon SRP132150
Cultivated Soybean RNA-Seq of salt treatment
  • organism-icon Glycine max
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To obtain a comprehensive understanding of transcriptomic reprogramming under salt stress, we performed whole genome RNA sequencing on salt-treatment soybean seedlings, on two tissues in a time-course experiment (0h, 1h, 2h, 4 h, 24h and 48h). This time series dataset enables us to identify important hubs and connection of gene expressions. We highlighted the analysis of phytohormone signaling pathways and their possible cross-talking. Gene expression regulation also controls adjustment of carbon and nitrogen metabolism. In general, the treated seedlings had turned off the photosynthetic mechanism and enhanced sugar catabolism to provide energy for survival. Primary nitrogen assimilation was shut down while re-distribution of nitrogen resources was activated. Genes for other protective mechanisms were also induced, including structural modification, ion-sequestering, and scavenging of reactive oxygen species.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Treatment

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accession-icon SRP067542
study of translational regulation in Drosophila melanogaster
  • organism-icon Drosophila melanogaster
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In order to study translational control by cis-regulatory elements in untranslated region of mRNA, ribosome profiling assays during different developmental stages of Drosophila melanogaster and in S2 cells cultured in normal and stressful conditions were performed.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP150888
Sus scrofa Raw RNA-seq sequence reads
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Porcine meat production is determined by total myofiber number, while during embryonic stages, total myofiber number is determined by primary myofiber number. Thus, primary myofiber is a crucial determinant factor of porcine adult meat production. Understanding the molecular mechanisms of distinct primary myofiber formation time in pig breeds with different meat production will help to improve pig meat production by genetic methods and benefit the researches concerning muscle development. In this study RNA-seq to uncover the molecular mechanisms of distinct primary myofiber formation time in pig breeds with different meat production (Landrace and Wuzhishan) by using longissimus dorsi muscle (LDM) samples during 3 early embryonic stages (18,21,28 dpc).

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP120123
Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The goals of this study is to determine alternative splicing events in Arabidopsis thaliana.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP158560
The BAM3 Receptor-Like Kinase Is Required for The Tapetal Development And Pollen Exine Formation
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The CLAVATA1(CLV1)-related Leucine-rich repeat receptor-like kinase BAM3 was previously reported to function additively to BAM1/2 in other aspects of plant development. Here we reported the important role of BAM3 in anther development. We demonstrated that in the anther, bam3-2 single mutant exhibited delayed tapetal degradation and a more extensively covered surface through cell biological analyses. Further transcriptomic studies revealed that 813 genes significantly expressed at the RNA level in the bam3-2 mutant compared with wild-type, which were enriched in pollen exine formation, lipid metabolism, lipid transfer, and proteolysis. Moreover, an intersection analysis of significantly regulated genes in bam3-2, DN-CLE19 and ams revealed BAM3, CLE19 and AMS commonly affected the expression level of many genes, especially genes invovled in pollen development such as CYP703A2?LAP6?TKPR2?CYP703B1?MS2?WBC27?MEE48?QRT3?LAP5?DRL1 and MYB103. These results suggested that BAM3 is a crucial executor during tapetum degradation and pollen exine formation and probably takes part in the CLE19-AMS signaling pathway during anther development process.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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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