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accession-icon SRP146096
Chromatin accessibility dynamics across C. elegans development and ageing [lcap]
  • organism-icon Caenorhabditis elegans
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

An essential step for understanding the transcriptional circuits that control development and physiology is the global identification and characterization of regulatory elements. Here we present the first map of regulatory elements across the development and ageing of an animal, identifying 42,245 elements accessible in at least one C. elegans stage. Based on nuclear transcription profiles, we define 15,918 protein-coding promoters and 17,918 putative enhancers, and find that both types of element can drive orientation-independent transcription. Additionally, hundreds of promoters produce transcripts antisense to protein coding genes, suggesting involvement in a widespread regulatory mechanism. We find that the accessibility of most elements is regulated during development and/or ageing and that patterns of accessibility change are linked to specific developmental or physiological processes. The map and characterization of regulatory elements across C. elegans life provides a platform for understanding how transcription controls development and ageing. Overall design: Capped nuclear RNA-seq of wild-type and glp-1 was performed to monitor transcription elongation across C. elegans development and ageing. Two biological replicates were done for each time point (six developmental stages and five ageing timepoints).

Publication Title

Chromatin accessibility dynamics across <i>C. elegans</i> development and ageing.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE47194
Tissue-specific pioneer factors associate with androgen receptor cistromes and transcription programs
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Tissue-specific pioneer factors associate with androgen receptor cistromes and transcription programs.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE47181
Tissue-specific pioneer factors associate with androgen receptor cistromes and transcription programs. [microarray]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

We report the in vivo androgen receptor (AR) binding sites in murine prostate, epididymis and kidney in response to physiological androgen testosterone using ChIP-sequencing and gene expression profiling by microarray. From AR cistrome analysis, we identified tissue-specific collaborating factors i.e. FoxA1 in prostate, Hnf4a in kidney and AP2a in epididymis and validated by ChIP-seq. The ChIP experiments have been performed using antibodies specific to AR, FoxA1, Hnf4a, AP-2a and IgG non-specific antibody as a negative control.

Publication Title

Tissue-specific pioneer factors associate with androgen receptor cistromes and transcription programs.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE31341
The Phytoestrogen Genistein Is a Tissue-Specific Androgen Receptor Modulator
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

We report that the phytoestrogen genistein acts as a tissue-specific androgen receptor modulator in mouse using a novel androgen reporter mouse line and gene expression profiling. Genistein is a partial androgen agonist/antagonist in prostate, brain, and testis but not in skeletal muscle or lung. Gene expression profiling has been done from prostates of intact and castrated male mice treated with genistein or vehicle. Gene expression profiling was also done from prostates of estradiol-treated intact male mice.

Publication Title

The phytoestrogen genistein is a tissue-specific androgen receptor modulator.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE2430
Azithromycin-treated PAO1 vs untreated PAO1
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Experimental Design

Publication Title

Quorum-sensing antagonistic activities of azithromycin in Pseudomonas aeruginosa PAO1: a global approach.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE39880
FoxA1 specifies unique androgen and glucocorticoid receptor binding events in prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

FoxA1 specifies unique androgen and glucocorticoid receptor binding events in prostate cancer cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE39654
FoxA1 specifies unique androgen and glucocorticoid receptor binding events in prostate cancer cells (mRNA)
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

We report the androgen receptor recruitment to the chromatin of androgen responsive prostate cancer cell lines, LNCaP-1F5 and VCaP in response to physiological androgen 5a-dihydrotestosterone (DHT) using ChIP-sequencing. We compare the AR recruitment by DHT to that by partial agonist/antagonist cyproterone acetate and mifepristone (RU486) in LNCaP-1F5 cells. We also report the role of glucocorticoid receptor recruitment in presence of dexamethasone (Dex) in androgen responsive prostate cancer cells. The AR and GR cistrome analysis is subsequently compared with gene expression data and RNA Pol II analysis. The ChIP-seq has been performed using AR, GR, RNA Pol II antibodies.

Publication Title

FoxA1 specifies unique androgen and glucocorticoid receptor binding events in prostate cancer cells.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE30316
Genome-wide analysis of the effect of PIAS1 knockdown by siRNA on the androgen regulated gene programs
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of PIAS1 co-regulation in the androgen signaling pathways in prostate cancer cell line.

Publication Title

SUMO ligase PIAS1 functions as a target gene selective androgen receptor coregulator on prostate cancer cell chromatin.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE7868
Expression data from LNCaP cell line
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Androgen receptor (AR) is a ligand-dependent transcription factor that plays a key role in the onset and progression of prostate cancer. Surprisingly little is known of AR binding sites and collaborating transcription factors in the human genome. Here we have identified the DNA sequence motifs that are significantly enriched within the authentic 90 AR target regions found on chromosomes 21 and 22 in human prostate cancer cells by combining chromatin immunoprecipitation for AR with chromosome-scale tiled oligonucleotide microarrays. By integrating the DNA sequence motif data with the gene expression profiles from human prostate cancers we identified the transcription factors that recognize each of these motifs. These factors form complexes with AR, bind to specific AR target regions and govern androgen-dependent transcription. Together with AR these collaborating transcription factors form a regulatory network that directs prostate cancer growth and survival and identify potential new opportunities for therapeutic intervention.

Publication Title

A hierarchical network of transcription factors governs androgen receptor-dependent prostate cancer growth.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE66531
Lung inflammatory milieu in mice with chronic CD4+ T cell mediated auto-immune inflammation of the lung
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Noncommunicable chronic respiratory diseases (CRDs) such as chronic obstructive pulmonary disease (COPD) and asthma affect hundreds of millions of people and are associated with increasing morbidity and mortality. CRDs are multifactorial disorders and despite different etiologies they commonly manifest in pulmonary structural (airway remodeling, emphysema) and/or functional changes. In this study we used mice intrinsically developing autoimmune-mediated lung inflammation associated with lung pathology and immune imprinting partly comparable to hallmarks of CRD. The so called SPC-HAxTCR-HA transgenic mice (BALB/c genetic background), express a neo-self antigen (influenza A virus hemagglutinin, HA) on lung alveolar epithelial type II cells in the presence of HA-specific CD4+ T cells leading to the establishment of chronic lung inflammation. In order to characterize the inflammatory lung milieu of SPC-HAxTCR-HA mice in comparison to SPC-HA control mice (lacking HA-specific CD4+ T cells), we performed whole lung tissue transcriptional analyses (n = 3 / group). 378 transcripts were found to be differentially expressed in SPC-HAxTCR-HA lungs. 326 of those were up-regulated and 52 were down-regulated compared to SPC-HA control mice.

Publication Title

Chronic lung inflammation primes humoral immunity and augments antipneumococcal resistance.

Sample Metadata Fields

Sex, Age, 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)

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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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