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accession-icon SRP051368
Bacterial Infection Remodels the DNA Methylation Landscape of Human Dendritic Cells (mRNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

DNA methylation is an epigenetic mark thought to be robust to environmental perturbations on a short time scale. Here, we challenge that view by demonstrating that the infection of human dendritic cells with a live pathogenic bacteria is associated with rapid changes in methylation levels at thousands of loci. We performed an integrated analysis of data on genome-wide DNA methylation, histone mark patterns, chromatin accessibility, and gene expression, before and after infection. We found that infection-induced changes in methylation rarely occur at promoter regions and instead localize to distal enhancer elements. Active demethylation is associated with extensive epigenetic remodeling, including the gain of histone activation marks and the induction of enhancer RNAs, and is strongly predictive of changes in the expression levels of nearby genes. Collectively, our observations show that active, rapid changes in DNA methylation in enhancers play a previously unappreciated role in regulating the transcriptional response of immune cells to infection. Overall design: Transcriptional profiles (polyA+) of 6 non-infected and 6 MTB-infected dendritic cell samples.

Publication Title

Bacterial infection remodels the DNA methylation landscape of human dendritic cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21858
Patterns of gene expression and evolution in the human developing cerebral cortex
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The cerebral cortex underwent a rapid expansion and complexification during recent primate evolution, but the underlying developmental mechanisms remain essentially unknown.

Publication Title

Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE28582
Gene Copy Number Aberrations are Associated with Survival in Histological Subgroups of Non-Small Cell Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 100 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene copy number aberrations are associated with survival in histologic subgroups of non-small cell lung cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE28571
Gene Copy Number Aberrations are Associated with Survival in Histological Subgroups of Non-Small Cell Lung Cancer (expression data)
  • organism-icon Homo sapiens
  • sample-icon 100 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hypothesis: Non-small cell lung cancer (NSCLC) is characterized by a multitude of genetic aberrations with unknown clinical impact. In this study, we aimed to identify gene copy number changes that correlate with clinical outcome in NSCLC. To maximize the chance to identify clinically relevant events, we applied a strategy involving two prognostically extreme patient groups.

Publication Title

Gene copy number aberrations are associated with survival in histologic subgroups of non-small cell lung cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE33363
CD99 is a novel prognostic stromal marker in non-small cell lung cancer
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The delicate interaction between cancer cells and the surrounding stroma plays an essential role in all stages of tumourigenesis. Despite the significance of this interplay, alterations in protein composition underlying tumour-stroma interactions are largely unknown. The aim of this study was to identify stromal proteins with clinical relevance in non-small cell lung cancer.

Publication Title

CD99 is a novel prognostic stromal marker in non-small cell lung cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE22259
BRCA1 depletion effect on HeLa cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of HeLa cells following depletion of BRCA1 tumor supressor using RNAi against BRCA1. Results provide insight into the molecular mechanisms underlying loss of the BRCA1 function.

Publication Title

BRCA1 represses amphiregulin gene expression.

Sample Metadata Fields

Treatment

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accession-icon SRP026126
The ABRF Next-Generation Sequencing Study (ABRF-NGS): Multi-platform and cross-methodological reproducibility of transcriptome profiling by RNA-seq [Illumina HiSeq 2500]
  • organism-icon Homo sapiens
  • sample-icon 419 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Next-generation sequencing (NGS) technology applications like RNA-sequencing (RNA-seq) have dramatically expanded the potential for novel genomics discoveries, but the proliferation of various platforms and protocols for RNA-seq has created a need for reference data sets to help gauge the performance characteristics of these disparate methods. Here we describe the results of the ABRF-NGS Study on RNA-seq, which leverages replicate experiments across multiple sites using two reference RNA standards tested with four protocols (polyA selected, ribo-depleted, size selected, and degraded RNA), and examined across five NGS platforms (Illumina’s HiSeqs, Life Technologies’ Personal Genome Machine and Proton, Roche 454 GS FLX, and Pacific Biosciences RS). These results show high (R2 >0.9) intra-platform consistency across test sites, high inter-platform concordance (R2 >0.8) for transcriptome profiling, and a large set of novel splice junctions observed across all platforms. Also, we observe that protocols using ribosomal RNA depletion can both salvage degraded RNA samples and also be readily compared to polyA-enriched fractions. These data provide a broad foundation for standardization, evaluation and improvement of RNA-seq methods. Overall design: Two reference RNA standards tested with four protocols (polyA selected, ribo-depleted, size selected, and degraded RNA), and examined across five NGS platforms (Illumina’s HiSeqs, Life Technologies’ Personal Genome Machine and Proton, Roche 454 GS FLX, and Pacific Biosciences RS). Please note that the samples were named following the ABRF-Platform-Site-Sample-Replicate# format. For example, ABRF-454-CNL-A-1 means Sample A was run on 454 platform at Cornell and this is the first replicate, and ABRF-454-CNL-A-2 means the same exact sample was ran with same machine at same location and is 2nd replicate.

Publication Title

RNA-seq of human reference RNA samples using a thermostable group II intron reverse transcriptase.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE42220
Gene expression data from differentiated 3T3-L1 preadipocytes treated with Palmitic Acid, Stearic Acid, Palmitoleic Acid, or Oleic Acid
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Saturated fatty acids (SFA) are widely thought to induce inflammation in adipose tissue (AT), while monounsaturated fatty acids (MUFA) are purported to have the opposite effect; however, it is unclear if individual SFA and MUFA behave similarly. Our goal was to examine adipocyte transcriptional networks regulated by individual SFA (palmitic acid, PA; stearic acid, SA) and MUFA (palmitoleic acid, PMA; oleic acid, OA).

Publication Title

Individual saturated and monounsaturated fatty acids trigger distinct transcriptional networks in differentiated 3T3-L1 preadipocytes.

Sample Metadata Fields

Specimen part

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accession-icon GSE74143
Whole blood gene expression from subjects with moderate to severe rheumatoid arthritis
  • organism-icon Homo sapiens
  • sample-icon 376 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Whole blood (paxgene) gene expression was measured using Affymetrix microarray from 377 individuals with rheumatoid arthritis.

Publication Title

Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE24739
Gene expression differences between highly enriched normal and chronic myelogenous leukemia quiescent stem/progenitor cells and correlations with biological abnormalities
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In comparing gene expression of normal and CML CD34+ quiescent (G0) and proliferating (G1/S/G2/M) cells, 292 genes were down-regulated and 192 genes were up-regulated in the CML G0 cells. The differentially expressed genes were grouped according to their reported functions and correlations were sought with biological differences previously observed between the same groups. The most apparent correlations include: i) Normal and CML G0 cells are more primitive than G1/S/G2/M cells; ii) CML G0 cells are in a more advanced stage of development and more poised to begin proliferating than normal G0 cells; iii) When CML G0 cells are stimulated to proliferate, they undergo further differentiation and maturation more rapidly than normal G0 cells, but both granulopoiesis and erythropoiesis are less efficient than normal; iv) Whereas normal G0 cells form only granulocyte/monocyte (GM) colonies when stimulated by cytokines, CML G0 cells consistently form a combination of GM and erythroid clusters and colonies; and v) Prominin-1 (CD133) is the gene most down-regulated in CML G0 cells and its down-regulation appears to be associated with the spontaneous formation of erythroid colonies by CML progenitors without EPO. The gene most over-expressed in CML G0 cells is LepR, but its role in contributing to the myeloid expansion and other abnormalities is unknown. It was hoped that LepR might serve as a therapeutic target, but leptin had no stimulatory or inhibitory effect on either normal or CML G0 cells, our attempts to make a specific LepR antibody were unsuccessful, and no other potentially targetable over-expressed surface antigens were identified.

Publication Title

Gene Expression Differences between Enriched Normal and Chronic Myelogenous Leukemia Quiescent Stem/Progenitor Cells and Correlations with Biological Abnormalities.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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