refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
    0
github link
Showing
of 85 results
Sort by

Filters

Technology

Platform

accession-icon GSE56539
Impact of human MLL/COMPASS and Polycomb complexes on the DNA methylome
  • organism-icon Homo sapiens
  • sample-icon 14 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

Impact of human MLL/COMPASS and polycomb complexes on the DNA methylome.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE56535
Impact of human MLL/COMPASS and Polycomb complexes on the DNA methylome [expression array]
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The association of DNA CpG methylation (or its absence) with occupancy of histone post translational modifications has hinted at an underlying crosstalk between histone marks and DNA methylation in patterning the human methylome, an idea supported by corresponding alterations to both histone marks and DNA methylation during malignant transformation. This study investigated the framework by which histone marks influence DNA methylation. Using RNAi in a human pluripotent embryonic carcinoma cell line we depleted essential components of the histone modifying complexes that establish the posttranslational modifications H3K4me3, H3K27me3, and H2AK119ub, and we assayed the impact of the subsequent loss of these marks on the DNA methylome. Absence of H2AK119ub resulted predominantly in hypomethylation across the genome. Removal of H3K4me3 or, surprisingly, H3K27me3 caused CpG island hypermethylation at a subset of loci. Intriguingly, many promoters were co-regulated by all three histone marks, becoming hypermethylated with loss of H3K4me3 or H3K27me3 and becoming hypomethylated with depletion of H2AK119ub, and many of these co-regulated loci were among those that are commonly, aberrantly hypermethylated in cancer.

Publication Title

Impact of human MLL/COMPASS and polycomb complexes on the DNA methylome.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE51903
Control of 5mC and 5hmC by TET dioxygenases in human embryonic carcinoma cells
  • organism-icon Homo sapiens
  • sample-icon 6 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

Distinct and overlapping control of 5-methylcytosine and 5-hydroxymethylcytosine by the TET proteins in human cancer cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE46467
Nucleosome positioning changes during human embryonic stem cell differentiation
  • organism-icon Homo sapiens
  • sample-icon 6 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

Nucleosome positioning changes during human embryonic stem cell differentiation.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE51901
Control of 5mC and 5hmC by TET dioxygenases in human embryonic carcinoma cells [Microarray]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The TET family of dioxygenases catalyze conversion of 5-methylcytosine (5mC) to 5-hydroxymethylcytosine (5hmC), but their involvement in establishing normal 5mC patterns during mammalian development and their contributions to aberrant control of 5mC during cellular transformation remains largely unknown. We depleted TET1, TET2, and TET3 by siRNA in a pluripotent embryonic carcinoma cell model and examined the impact on genome-wide 5mC and 5hmC patterns. TET1 depletion yielded widespread reduction of 5hmC, while depletion of TET2 and TET3 reduced 5hmC at a subset of TET1 targets suggesting functional co-dependence. TET2 or TET3-depletion also caused increased 5hmC, suggesting they play a major role in 5hmC removal. All TETs prevent hypermethylation throughout the genome, a finding dramatically illustrated in CpG island shores, where TET depletion resulted in prolific hypermethylation. Surprisingly, TETs also promote methylation, as hypomethylation was associated with 5hmC reduction. TET function was highly specific to chromatin environment: 5hmC maintenance by all TETs occurred at polycomb-marked chromatin and genes expressed at moderate levels; 5hmC removal by TET2 is associated with highly transcribed genes enriched for H3K4me3 and H3K36me3. Importantly, genes prone to hypermethylation in cancer become depleted of 5hmC with TET deficiency, suggesting the TETs normally promote 5hmC at these loci, and all three TETs are required for 5hmC enrichment at enhancers, a condition necessary for expression of adjacent genes. These results provide novel insight into the division of labor among TET proteins and reveal an important connection of TET activity with chromatin landscape and gene expression.

Publication Title

Distinct and overlapping control of 5-methylcytosine and 5-hydroxymethylcytosine by the TET proteins in human cancer cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE45877
Nucleosome positioning changes during human embryonic stem cell differentiation.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Nucleosomes are the basic unit of chromatin. Nucleosome positioning (NP) plays a key role in transcriptional regulation and other biological processes. To better understand NP we used MNase-seq to investigate changes that occur as human embryonic stem cells (hESCs) transition to nascent mesoderm and then to smooth muscle cells (SMCs). Compared to differentiated cell derivatives, nucleosome occupancy at promoters and other notable genic sites, such as exon/intron junctions and adjacent regions, in hESCs shows a stronger correlation with transcript abundance and is less influenced by sequence content. Upon hESC differentiation, genes being silenced, but not genes being activated, display a substantial change in nucleosome occupancy at their promoters. Genome-wide, we detected a shift of NP to regions of higher G+C content as hESCs differentiate to SMCs. Notably, genomic regions with higher nucleosome occupancy harbor twice as many GC changes but fewer than half AT changes, compared to regions with lower nucleosome occupancy. Finally, our analysis indicates that the hESC genome is not rearranged and has a sequence mutation rate resembling normal human genomes. Our study reveals another unique feature of hESC chromatin, and sheds light on the relationship between nucleosome occupancy and sequence G+C content.

Publication Title

Nucleosome positioning changes during human embryonic stem cell differentiation.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE44968
Expression data from human multiple myeloma cells with or without IRE1-XBP1 silencing
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to develop gene signatures for XBP1 and IRE1 in myeloma cells to explore the role of this UPR/differentiation pathway in proteasome inhibitor resistance.

Publication Title

Xbp1s-negative tumor B cells and pre-plasmablasts mediate therapeutic proteasome inhibitor resistance in multiple myeloma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE38938
Linking DNA Methyltransferases (DNMTs) to Epigenetic Marks and Nucleosome Structure Genome-Wide in Human Tumor Cells
  • organism-icon Homo sapiens
  • sample-icon 6 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

Linking DNA methyltransferases to epigenetic marks and nucleosome structure genome-wide in human tumor cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE38936
Expression data from human cancer cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used microarrays to profile gene expression of NCCIT cells to study the link between epigenetic modifications and gene transcription.

Publication Title

Linking DNA methyltransferases to epigenetic marks and nucleosome structure genome-wide in human tumor cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE14011
Expression data from myeloma cell lines treated with 500 nM pristimerin or DMSO vehicle alone for 4 hours
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

As multiple myeloma tumors universally dysregulate cyclin D genes we conducted high-throughput chemical library screens for compounds that induce suppression of cyclin D2. The top-ranked compound was a natural triterpenoid, pristimerin.

Publication Title

Identification of a potent natural triterpenoid inhibitor of proteosome chymotrypsin-like activity and NF-kappaB with antimyeloma activity in vitro and in vivo.

Sample Metadata Fields

Specimen part

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)

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