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accession-icon SRP079850
Identification of mesothelial-to-mesenchymal gene signature in ascitic fluid-isolated mesothelial cells through RNA-sequencing
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-sequencing analysis was carried out on ascetic fluid-isolated mesothelial cells from ovarian cancer patients compared to control human peritoneal mesothelial cells to identify a mesothelial-mesenchymal gene signature. Overall design: Three control human peritoneal mesothelial cell samples isolated from omentum obtained from non-oncologic patients undergoing abdominal surgery and three ascitic fluid-isolated mesothelial cell samples obtained from the peritoneal effucsions of stage III/IV ovarian serous carcinoma patients

Publication Title

Mesothelial-to-mesenchymal transition as a possible therapeutic target in peritoneal metastasis of ovarian cancer.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP104995
Transcriptome profiling of Peyer's patch naive and germinal center B cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Germinal center (CD19+Fas+GL7+) and naive (CD19+Fas-GL7-) B cells were sorted from Peyer''s patches of littermate 12 weeks old WT C57BL/6 mice. Three biological replicates were analyzed, each composed of a pool of 5 female mice. RNA was purified from pellets of 2-2.5x10^4 cells and sequencing libraries were prepared from 100ng of total RNA per replicate. Overall design: Transcriptional profiling of germinal center and naive B cells from Peyer's patches of WT mice.

Publication Title

A broad atlas of somatic hypermutation allows prediction of activation-induced deaminase targets.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon GSE21264
Inflammation and tumor susceptibility in skin cancer
  • organism-icon Mus musculus, Mus musculus x mus spretus, Mus spretus
  • sample-icon 132 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Network analysis of skin tumor progression identifies a rewired genetic architecture affecting inflammation and tumor susceptibility.

Sample Metadata Fields

Sex

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accession-icon GSE12248
Genetic architecture of murine skin inflammation and tumor susceptibility
  • organism-icon Mus musculus, Mus musculus x mus spretus, Mus spretus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression in self-renewing epithelial tissues is controlled by cis- and trans-activating regulatory factors that mediate responses to exogenous agents capable of causing tissue damage, infection, inflammation, or tumorigenesis. We used network construction methods to analyze the genetic architecture of gene expression in normal mouse skin in a cross between tumor-susceptible Mus musculus and tumor-resistant Mus spretus. We demonstrate that gene expression motifs representing different constituent cell types within the skin such as hair follicle cells, haematopoietic cells, and melanocytes are under separate genetic control. Motifs associated with inflammation, epidermal barrier function and proliferation are differentially regulated in mice susceptible or resistant to tumor development. The intestinal stem cell marker Lgr5 is identified as a candidate master regulator of hair follicle gene expression, and the Vitamin D receptor (Vdr) links epidermal barrier function, inflammation, and tumor susceptibility.

Publication Title

Genetic architecture of mouse skin inflammation and tumour susceptibility.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21263
Network Analysis of Skin Tumor Progression Identifies a Rewired Genetic Architecture Affecting Inflammation and Tumor Susceptibility (papillomas)
  • organism-icon Mus musculus
  • sample-icon 68 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Germline polymorphisms influence gene expression networks in normal mammalian tissues. Analysis of this genetic architecture can identify single genes and whole pathways that influence to complex traits including inflammation and cancer susceptibility. Changes in the genetic architecture during the development of benign and malignant tumours have not been investigated. Here, we document major changes in germline control of gene expression during skin tumour development as a consequence of cell selection, somatic genetic events, and changes in tumour microenvironment. Immune response genes such as Interleukin 18 and Granzyme E are under germline control in tumours but not in normal skin. Gene expression networks linked to tumour susceptibility and hair follicle stem cell markers in normal skin undergo significant reorganization during tumour progression. Our data highlight opposing roles of Interleukin-1 signaling networks in tumour susceptibility and tumour progression and have implications for the development of chemopreventive strategies to reduce cancer incidence.

Publication Title

Network analysis of skin tumor progression identifies a rewired genetic architecture affecting inflammation and tumor susceptibility.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE21247
Network Analysis of Skin Tumor Progression Identifies a Rewired Genetic Architecture Affecting Inflammation and Tumor Susceptibility (carcinomas)
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Germline polymorphisms influence gene expression networks in normal mammalian tissues. Analysis of this genetic architecture can identify single genes and whole pathways that influence to complex traits including inflammation and cancer susceptibility. Changes in the genetic architecture during the development of benign and malignant tumours have not been investigated. Here, we document major changes in germline control of gene expression during skin tumour development as a consequence of cell selection, somatic genetic events, and changes in tumour microenvironment. Immune response genes such as Interleukin 18 and Granzyme E are under germline control in tumours but not in normal skin. Gene expression networks linked to tumour susceptibility and hair follicle stem cell markers in normal skin undergo significant reorganization during tumour progression. Our data highlight opposing roles of Interleukin-1 signaling networks in tumour susceptibility and tumour progression and have implications for the development of chemopreventive strategies to reduce cancer incidence.

Publication Title

Network analysis of skin tumor progression identifies a rewired genetic architecture affecting inflammation and tumor susceptibility.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE14739
Impact of breed and sex on porcine endocrine transcriptome: A Bayesian biometrical analysis
  • organism-icon Sus scrofa
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Background: Transcriptome variability is due to genetic and environmental causes, much like any other complex phenotype. Ascertaining the transcriptome differences between individuals is an important step to understand how selection and genetic drift may affect gene expression. To that end, extant divergent livestock breeds offer an ideal genetic material.

Publication Title

Impact of breed and sex on porcine endocrine transcriptome: a bayesian biometrical analysis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE89793
Loss of the Inhibitory Immune Checkpoint CD85j/LILRB1 on Malignant Plasma Cells Contributes to Immune Escape in Multiple Myeloma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Mechanisms of immune regulation may control proliferation of aberrant plasma cells (PCs) in patients with the asymptomatic monoclonal gammopathy of undetermined significance (MGUS) preventing progression to active multiple myeloma (MM). We investigated the role of CD85j (LILRB1), an inhibitory immune checkpoint for B cell function, in MM pathogenesis.

Publication Title

Loss of the Immune Checkpoint CD85j/LILRB1 on Malignant Plasma Cells Contributes to Immune Escape in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE54582
Transcriptomic analysis of mammary tumors from MMTV-ErbB2 transgenic mice
  • organism-icon Mus musculus
  • sample-icon 222 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The tyrosine kinase ErbB2 positive breast tumors have more aggressive tumor growth, poorer clinical outcome, and more resistance to radiotherapy, chemotherapy and hormone therapy. A humanized anti-ErbB2 monoclonal antibody Herceptin and a small molecules inhibitor Lapatinib were developed and approved by FDA to treat patients with ErbB2 amplification and overexpression. Unfortunately, most ErbB2+ breast cancers do not respond to Herceptin and Lapatinib, and the majority of responders become resistant within 12 months of initial therapy (defined as secondary drug resistance). Such differences in response to Lapatinib treatment is contributed by substantial heterogeneity within ErbB2+ breast cancers. To address this possibility, we carried out transcriptomic analysis of mammary tumors from genetically diverse MMTV-ErbB2 mice. This will help us to have a better understanding of the heterogeneous response to ErbB2 targeted therapy and permit us to design better and more individualized (personalized) treatment strategies for human ErbB2 positive breast cancer.

Publication Title

Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach.

Sample Metadata Fields

Specimen part

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accession-icon GSE10898
Transcriptome architecture across tissues in the pig
  • organism-icon Sus scrofa
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Artificial selection has resulted in animal breeds with extreme phenotypes. As an organism is made up of many different tissues and organs, each with its own genetic programme, it is pertinent to ask what are the relative contributions of breed or sex when assessed across tissues.

Publication Title

Transcriptome architecture across tissues in the pig.

Sample Metadata Fields

Age

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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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