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accession-icon SRP110754
Chromatin reprogramming in primordial germ cells requires Nanos-dependent down-regulation of the synMuvB transcription factor LIN-15B
  • organism-icon Caenorhabditis elegans
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The Nanos family of RNA-binding proteins has been implicated in the specification of primordial germ cells (PGCs) in a wide range of metazoans, but the underlying mechanisms remain poorly understood. We have profiled the transcriptome of PGCs lacking the nanos homologues nos-1 and nos-2 in C. elegans using cell sorting and RNA-seq. nos-1nos-2 PGCs fail to silence hundreds of genes normally expressed in oocytes and somatic cells, a phenotype reminiscent of PGCs lacking the repressive PRC2 complex. The nos-1nos-2 phenotype depends on LIN-15B, a broadly expressed synMuvB class transcription factor known to antagonize PRC2 activity in somatic cells. LIN-15B is maternally-inherited by all embryonic cells and is down-regulated specifically in PGCs in a nos-1nos-2-dependent manner. Consistent with LIN-15B being a critical target of Nanos regulation, inactivation of maternal LIN-15B restores fertility to nos-1nos-2 mutants. These studies demonstrate a central role for Nanos in reprogramming the transcriptome of primordial germ cells away from an oocyte/somatic fate by down-regulating an antagonist of PRC2 activity. Overall design: 30 RNA-seq samples are inclued in this study. These include PGC transcriptomes from wild-type, nos-1(gv5)nos-2(RNAi), mes-2(RNAi), mes-4(RNAi), nos-1(gv5)nos-2(RNAi);lin15-B(RNAi) and biological replicates.

Publication Title

Recruitment of mRNAs to P granules by condensation with intrinsically-disordered proteins.

Sample Metadata Fields

Subject

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accession-icon GSE54043
Global gene expression profile of gastric antrum tissue of patients with eosinophilic gastritis
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Significant recent progress has been made with understanding eosinophilic gastrointestinal disorders (EGIDs) yet most studies have focused on eosinophilic esophagitis (EoE). Herein, we aimed to provide fundamental information about the molecular characteristics of eosinophilic gastritis (EG).

Publication Title

Histologic eosinophilic gastritis is a systemic disorder associated with blood and extragastric eosinophilia, TH2 immunity, and a unique gastric transcriptome.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE8853
IL-13 involvement in eosinophilic esophagitis: transcriptome analysis
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

3 eosinophilic esophagitis biopsies, cultured and stimulated with IL-13 : each of them was either left unstimulated or stimulated (100ng for 48h)

Publication Title

IL-13 involvement in eosinophilic esophagitis: transcriptome analysis and reversibility with glucocorticoids.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE75516
Transposon sequencing during experimental osteomyelitis reveals hypoxic responses as key components of the staphylococcal-host interaction
  • organism-icon Staphylococcus aureus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix S. aureus Genome Array (saureus)

Description

The Staphylococcus aureus two-component regulatory system, SrrAB, coordinates hypoxic responses during in vitro growth conditions.

Publication Title

Bacterial Hypoxic Responses Revealed as Critical Determinants of the Host-Pathogen Outcome by TnSeq Analysis of Staphylococcus aureus Invasive Infection.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE36683
Gene Regulation by Estrogen Signaling and DNA Methylation in MCF7 Breast Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Estrogen signaling and epigenetic modifications, in particular DNA methylation, are involved in regulation of gene expression in breast cancers. Here we investigated a potential regulatory cross-talk between these two pathways by identifying their common target genes and exploring potential underlying molecular mechanisms in human MCF7 breast cancer cells. Principal Findings: Gene expression profiling revealed that the expression of approximately 150 genes was influenced by both 17-estradiol (E2) and a hypomethylating agent 5-aza-2-deoxycytidine (DAC). Based on gene ontology (GO), CpG island prediction analysis and previously reported estrogen receptor (ER) binding regions, we selected six genes for further analysis (BTG3, FHL2, PMAIP1, BTG2, CDKN1A and TGFB2). GO analysis suggests that these genes are involved in intracellular signaling cascades, regulation of cell proliferation and apoptosis, while CpG island prediction of promoter regions reveals that the promoters of these genes contain at least one CpG island. Using chromatin immunoprecipitation, we show that ER is recruited to CpG islands in promoters, but neither in an E2- nor in a DAC-dependent fashion. DAC treatment reactivates the expression of all selected genes although only the promoters of BTG3 and FHL2 genes are methylated, with E2 treatment showing no effect on the methylation status of these promoters. Conclusions: We identified a set of genes regulated by both estrogen signaling and DNA methylation. However, our data does not support a direct molecular interplay of mediators of estrogen and epigenetic signaling at promoters of regulated genes.

Publication Title

Global identification of genes regulated by estrogen signaling and demethylation in MCF-7 breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE62178
Mastermind-like protein 1 regulates DNA methylation and expression of early developmental gene clusters in human embryonic kidney cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The transcriptional coregulator MAML1 affects DNA methylation and gene expression patterns in human embryonic kidney cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE62175
Mastermind-like protein 1 regulates DNA methylation and expression of early developmental gene clusters in human embryonic kidney cells (expression)
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Mastermind-like 1 (MAML1) is a transcriptional coregulator that has been associated with early development of many systems such as neuronal, muscular, cardiovascular and urogenital. The present study aimed to explore the genome-wide effects of MAML1 on gene expression and DNA methylation in human embryonic kidney cells. RNA expression was measured using a microarray that screens approximately 36,000 transcripts, and DNA methylation was determined for 450,000 CpG sites. 225 genes were found to be differentially expressed, while 11802 CpG sites were found to be differentially methylated in MAML1-expressing cells. A subset of 211 differentially methylated loci was associated with the expression of 85 genes. Gene ontology analysis revealed that these genes are involved in the regulation of urogenital system development, cell adhesion and embryogenesis.

Publication Title

The transcriptional coregulator MAML1 affects DNA methylation and gene expression patterns in human embryonic kidney cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP058098
The DAXX co-repressor is directly recruited to active regulatory elements genome-wide to regulate autophagy programs in a model of human prostate cancer (RNA-seq)
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

This study was aimed at understanding the genome-wide binding and regulatory role of the DAXX transcriptional repressor, recently implicated in PCa. ChIP-Seq analysis of genome-wide distribution of DAXX in PC3 cells revealed over 59,000 DAXX binding sites, found at regulatory enhancers and promoters. ChIP-Seq analysis of DNA methyltransferase 1 (DNMT1), which is a key epigenetic partner for DAXX repression, revealed that DNMT1 binding was restricted to a small number of DAXX sites. DNMT1 and DAXX bound close to transcriptional activator motifs. DNMT1 sites were found to be dependent on DAXX for recruitment by analyzing DNMT1 ChIP-Seq following DAXX knockdown (K/D), corroborating previous findings that DAXX recruits DNMT1 to repress its target genes. Massively parallel RNA sequencing (RNA-Seq) was used to compare the transcriptomes of WT and DAXX K/D PC3 cells. Genes induced by DAXX K/D included those involved in autophagy, and DAXX ChIP-Seq peaks were found close to the transcription start sites (TSS) of autophagy genes, implying they are more likely to be regulated by DAXX. Overall design: Determine changes in gene expression levels between WT and DAXX K/D prostate cancer cells by RNA-Seq (PC3 Cells).

Publication Title

The DAXX co-repressor is directly recruited to active regulatory elements genome-wide to regulate autophagy programs in a model of human prostate cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE72320
Gene expression profiling of MDA231 cells with alterations involving beta-oxidation pathway
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to confirm the role of fatty acid -oxidation in Src regulation, we performed gene expression analysis in MDA231 cells from in vivo model treated with ETX or knockdown of CPT1 or CPT2 using shRNA. As expected, inhibition of -oxidation showed a gene expression pattern that is opposite to the published Src regulated gene pattern. The known Src up-regulated genes are down-regulated and Src down-regulated genes are up-regulated in -oxidation inhibited cells. Western Blotting further confirmed the gene expression pattern. Knockdown of CPT1 or CPT2 inhibited Src Y416 autophosphorylation as observed with ETX.

Publication Title

Fatty Acid Oxidation-Driven Src Links Mitochondrial Energy Reprogramming and Oncogenic Properties in Triple-Negative Breast Cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE72319
Gene expression profiling of transmitochondrial cybrids (triple negative breast cancer cells in SUM159 background)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used a transmitochondrial cybrid (cybrids)-based discovery approach to identify mitochondria-regulated cancer pathways in TN BCa. Cybrids were generated under a moderately metastatic TN BCa cell line SUM159 as the common nuclear background with mitochondria from benign breast epithelium (A1N4) and moderately metastatic (SUM159) TN BCa cells. In vitro and in vivo studies suggested that even under the common moderately cancerous nuclear background, mitochondria from benign cells inhibit and metastatic cell induce cancer properties of a moderately aggressive TN BCa cell. Gene expression studies identified c-Src onco-pathway as one of the major cancer pathways altered according to the mitochondria status of the cybrids.

Publication Title

Fatty Acid Oxidation-Driven Src Links Mitochondrial Energy Reprogramming and Oncogenic Properties in Triple-Negative Breast Cancer.

Sample Metadata Fields

Specimen part

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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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