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accession-icon SRP163173
Integrative epigenetic taxonomy of primary prostate cancer [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The Androgen Receptor (AR) is the key-driving transcription factor in prostate cancer, tightly controlled by epigenetic regulation. To date, most epigenetic profiling has been performed in cell lines or limited tissue samples. To comprehensively study the epigenetic landscape, we complemented RNA-seq with ChIP-seq for AR and histone modification marks (H3K27ac, H3K4me3, H3K27me3) in 100 primary prostate carcinomas. Integrative molecular subtyping of the five data streams revealed three major subtypes of which two were clearly TMPRSS2-ERG dictated. Importantly, a third novel subtype was identified, with low AR chromatin binding and activity, even though the receptor was clearly expressed. While positive for neuroendocrine-hallmark genes, these tumors were copy number-neutral with low mutation burden, significantly depleted for genes characteristic of poor-outcome associated luminal B-subtype. We present a rich novel resource on transcriptional and epigenetic control in prostate cancer, revealing a tight control of gene regulation differentially dictated by AR over the three subtypes. Overall design: RNA-seq data for primary prostate carcinomas

Publication Title

Integrative epigenetic taxonomy of primary prostate cancer.

Alternate Accession IDs

GSE120741

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE98902
Effect of Analytic Treatment Interruption of Antiretroviral Therapy on HIV Reservoirs and Immunological Parameters
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

We compared transcriptional profiles of CD4+ and CD8+ T lymphocytes from HIV infected individuals before and 1 year after interruption of antiretroviral therapy (ART).

Publication Title

Effect of analytical treatment interruption and reinitiation of antiretroviral therapy on HIV reservoirs and immunologic parameters in infected individuals.

Alternate Accession IDs

E-GEOD-98902

Sample Metadata Fields

Sex, Age, Specimen part, Disease stage, Race, Subject

View Samples
accession-icon SRP137093
Loss of p53 dictates Wnt-dependent systemic inflammation in breast cancer
  • organism-icon Mus musculus
  • sample-icon 143 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000

Description

Cancer-associated inflammatory processes in the tumour microenvironment, as well as systemically, are strongly linked with poor disease outcome in cancer patients. For most human solid tumour types, high systemic neutrophil-to-lymphocyte ratios (NLR) are associated with increased metastasis and poor overall survival and recent experimental studies have demonstrated a causal relationship between neutrophils and metastasis formation. However, to date, the cancer cell-intrinsic mechanisms dictating the substantial heterogeneity in systemic neutrophilic inflammation between tumour-bearing hosts are largely unresolved. Using a panel of 16 distinct genetically engineered mouse models (GEMMs) for breast cancer, we demonstrate that tumour cell-intrinsic loss of p53 changes the phenotype and function of macrophages in the microenvironment, leading to activation of a systemic inflammatory cascade that drives neutrophil expansion. Mechanistically, p53 loss in cancer cells induces secretion of Wnt ligands that act in a paracrine fashion to stimulate IL-1b production from tumour-associated macrophages. Intratumoural IL-1ß production stimulates an inflammatory cascade leading to the systemic accumulation of neutrophils. Pharmacological and genetic blockade of cancer cell-derived Wnt secretion reverses IL-1ß expression by macrophages and subsequent systemic neutrophilic inflammation. Collectively, using pre-clinical mouse models for breast cancer, we demonstrate a novel mechanistic link between loss of p53 in cancer cells, Wnt ligand secretion and systemic immune activation. This illustrates the importance of cancer cell-intrinsic genetic aberrations in dictating cancer-associated inflammation. These insights set the stage for personalized immune intervention strategies for cancer patients. Overall design: In this study, gene expression profiles of tumours from genetically engineered mouse models (GEMMs) were analysed using RNA sequencing. Analysis was performed on bulk tumours of 10 GEMMs with different tissue-specific mutations driving tumorigenesis, totalling to 125 different tumours (n=5 or more per group). Subsequently, samples were grouped according to p53 status of the tumour (models containing Trp53 floxed alleles, or not) and comparisons were made between p53-KO and p53-WT tumours.

Publication Title

Loss of p53 triggers WNT-dependent systemic inflammation to drive breast cancer metastasis.

Alternate Accession IDs

GSE112665

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP043093
Transcriptome comparison of mouse pancreatic islets cultured at low vs high ambient glucose
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Islets are known to respond to changes in ambient glucose. To quantify the transcriptome-wide changes in ambient glucose, we compared transcriptome of islets exposed to low and high glucose. Overall design: Isolated islets from wild type male mice. Islets from adult males were pooled, cultured overnight in RPMI containing 11 mM glucose. The next day, all islets were starved in RPMI containing 2.8 mM glucose for 2 hours before stimulation with 2.8 mM glucose or 16.8 mM glucose for 12 hours. Islets were lysed in Trizol for RNA isolation and library construction.

Publication Title

The transcriptional landscape of mouse beta cells compared to human beta cells reveals notable species differences in long non-coding RNA and protein-coding gene expression.

Alternate Accession IDs

GSE58384

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP073928
Comprehensive transcriptomes of mouse pancreatic islet delta, beta, and alpha cells
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Rodent models are widely used to study diabetes. Yet, significant gaps remain in our understanding of mouse islet physiology. We generated comprehensive transcriptomes of mouse delta, beta and alpha cells using two separate triple transgenic mouse models generated for this purpose. This enables systematic comparison across thousands of genes between the three major endocrine cell types of the islets of Langerhans whose principal hormones control nutrient homeostasis. Overall design: FACS purified delta or alpha cells and beta cells from the same islets. Islets were isolated from triple transgenic offspring of a cross between mIns1-H2b-mCherry (Jax # 028589) and either Sst-Cre (delta) or Gcg-cre (alpha) cells and a floxed YFP allele to label delta or alpha cells, respectively. Islets from replicate groups of 10 to 12 triple transgenic animals for each group were pooled by sex to obtain sufficient material. Pooled islets were dissociated, sorted and collect in Trizol for RNA isolation and library construction.

Publication Title

Comprehensive alpha, beta and delta cell transcriptomes reveal that ghrelin selectively activates delta cells and promotes somatostatin release from pancreatic islets.

Alternate Accession IDs

GSE80673

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon E-TABM-292
Transcription profiling of human liver cancer samples
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133B Array (hgu133b), Affymetrix Human Genome U133A Array (hgu133a)

Description

The identification of HCC patients with different risks of recurrence by incorporating the status of clinicopathological features available at diagnosis and gene expression profiling associated with recurrence

Publication Title

Identification and validation of a novel gene signature associated with the recurrence of human hepatocellular carcinoma.

Alternate Accession IDs

None

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE49893
RNA-Seq and expression microarray highlight different aspects of the fetal amniotic fluid transcriptome
  • organism-icon Homo sapiens
  • sample-icon 5 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

RNA-Seq and expression microarray highlight different aspects of the fetal amniotic fluid transcriptome.

Alternate Accession IDs

E-GEOD-49893

Sample Metadata Fields

Sex

View Samples
accession-icon GSE49891
RNA-Seq and expression microarray highlight different aspects of the fetal amniotic fluid transcriptome [microarray]
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The second trimester fetal transcriptome can be assessed based on cell-free RNA found within the amniotic fluid supernatant. The objective of this study was to compare the suitability of two technologies for profiling the human fetal transcriptome: RNA-Seq and expression microarray. Comparisons were based on total numbers of gene detected, rank-order gene expression, and functional genomic analysis.

Publication Title

RNA-Seq and expression microarray highlight different aspects of the fetal amniotic fluid transcriptome.

Alternate Accession IDs

E-GEOD-49891

Sample Metadata Fields

Sex

View Samples
accession-icon GSE46286
Global Gene Expression Analysis of Term Amniotic Fluid Cell-Free Fetal RNA
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The objective of this study was to identify the tissue expression patterns and biological pathways enriched in term amniotic fluid cell-free fetal RNA by comparing functional genomic analyses of term and second-trimester amniotic fluid supernatants.

Publication Title

Global gene expression analysis of term amniotic fluid cell-free fetal RNA.

Alternate Accession IDs

E-GEOD-46286

Sample Metadata Fields

Sex

View Samples
accession-icon GSE60403
The obese fetal transcriptome
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The objective of this study was to identify the tissue expression patterns and biological pathways enriched in term cord blood fetal RNA of obese women compared to lean

Publication Title

Assessing the fetal effects of maternal obesity via transcriptomic analysis of cord blood: a prospective case-control study.

Alternate Accession IDs

E-GEOD-60403

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)

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Developed by the Childhood Cancer Data Lab

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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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