refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing 9 of 9 results
Sort by

Filters

Technology

Platform

accession-icon GSE33056
Expression data from polycystic kidney disease susceptible and resistant rat strains
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

To facilitate the search for genetic modifiers that modulate ARPKD disease progression and severity, we sought to generate a congenic rat model that carries the PCK Pkhd1 mutation but is resistant to the development of ARPKD. We transferred the Pkhd1 mutation from the PCK rat onto the genetic background of the FHH (Fawn-Hooded Hypertensive) rat. This newly developed strain, called FHH.Pkhd1, showed significant amelioration of renal disease, and delayed onset of biliary abnormalities. To initiate the exploration for genes and pathways that modulate susceptibility to renal cystogenesis, we investigated transcriptional changes in kidneys from PCK, SD, FHH and FHH.Pkhd1 rats by microarray analysis.

Publication Title

Role of genetic modifiers in an orthologous rat model of ARPKD.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE2204
Mouse ES cells versus XEN cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Comparison of mouse ES cells and three different XEN cell cultures.

Publication Title

Imprinted X-inactivation in extra-embryonic endoderm cell lines from mouse blastocysts.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE72498
Cell cycle-dependent reconfiguration of the DNA (hydroxy) methylome during terminal differentiation of human B cells into plasma cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cell-Cycle-Dependent Reconfiguration of the DNA Methylome during Terminal Differentiation of Human B Cells into Plasma Cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE72497
Cell cycle-dependent reconfiguration of the DNA (hydroxy) methylome during terminal differentiation of human B cells into plasma cells [expression array]
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219), Illumina HiSeq 2000

Description

Molecular mechanisms underlying terminal differentiation of B-cells into plasma cells are major determinants of adaptive immunity but remain only partially understood. Here, we present the transcriptional and epigenomic landscapes of cell subsets arising from activation of human naive B-cells and differentiation into plasmablasts. Cell proliferation of activated B cells was linked to a slight decrease in DNA methylation levels but followed by a committal step in which an S-phase-synchronized differentiation switch was associated with an extensive DNA demethylation and local acquisition of 5-hydroxymethylcytosine at enhancers and genes related to plasma cell identity.

Publication Title

Cell-Cycle-Dependent Reconfiguration of the DNA Methylome during Terminal Differentiation of Human B Cells into Plasma Cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE71799
Identification of molecular signatures of cystic fibrosis disease status using plasma-based functional genomics
  • organism-icon Homo sapiens
  • sample-icon 134 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we compared the signature found between unrelated healthy controls and non-diabetic cystic fibrosis patients possessing Pseudomonas aeruginosa pulmonary tract infection.

Publication Title

Identification of molecular signatures of cystic fibrosis disease status with plasma-based functional genomics.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE48163
HEK293T cells were transfected with the Rbp1-amr or slow (R729H-amr) -amanitin resistant subunit of RNA Pol II and selected with -amanitin 24 hours after transfection for additional 24 hours
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

HEK293T cells were transfected with the Rbp1-amr or slow (R729H-amr) -amanitin resistant subunit of RNA Pol II and selected with -amanitin 24 hours after transfection for additional 24 hours. Total RNA was extracted and global changes in gene expression were determined using microarray chips.

Publication Title

Disparity between microRNA levels and promoter strength is associated with initiation rate and Pol II pausing.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE57015
Hippocampal expression data from FTY720- and vehicle-treated SCID mice following fear consolidation testing
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

FTY720/Fingolimod, an FDA-approved drug for treatment of multiple sclerosis, has beneficial effects in the CNS that are not yet well understood, independent of its effects on immune cell trafficking. Here we show that FTY720 enters the nucleus where it is phosphorylated by sphingosine kinase 2 (SphK2) and nuclear FTY720-P that accumulates there, binds and inhibits class I histone deacetylases (HDACs) enhancing specific histone acetylations. FTY720 is also phosphorylated in mice and accumulates in various brain regions, including hippocampus, inhibits HDACs and enhances histone acetylation and gene expression programs associated with memory and learning leading to improvement of memory impairment independently of its immunosuppressive actions. Our data suggest that sphingosine-1-phosphate and SphK2 play specific roles in memory functions and that FTY720 may be a useful adjuvant therapy to facilitate extinction of aversive memories.

Publication Title

Active, phosphorylated fingolimod inhibits histone deacetylases and facilitates fear extinction memory.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
accession-icon GSE69462
The phosphorylated prodrug FTY720 is a histone deacetylase Q15 inhibitor that reactivates ER expression and enhances hormonal therapy for breast cancer
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Nuclear FTY720-P is a potent inhibitor of class I histone deacetylases (HDACs) that enhances histone acetylations and regulates expression of a restricted set of genes independently of its known effects on canonical signaling through sphingosine-1-phosphate (S1P) receptors. We found that FTY720 is phosphorylated in Era-negative breast cancer cells by nuclear sphingosine kinase 2 and accumulates these cells.

Publication Title

The phosphorylated prodrug FTY720 is a histone deacetylase inhibitor that reactivates ERα expression and enhances hormonal therapy for breast cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE24223
Deconvoluting Early Post-Transplant Immunity Using Purified Cell Subsets Reveals Functional Networks Not Evident by Whole Blood Analysis
  • organism-icon Homo sapiens
  • sample-icon 179 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study we employed transcriptome mRNA profiling of whole blood and purified CD4, CD8 T cells, B cells and monocytes in tandem with high-throughput flow cytometry in 10 kidney transplant patients sampled serially pre-transplant, 1, 2, 4, 8 and 12 weeks. We then mechanistically deconvoluted the early post-transplant immune response. The flow cytometry data confirms depletion of specific cell subsets in response to ATG induction and immunosuppression with sustained decreases in CD4 as well as CD8 cell subsets. A series of T cell activation markers were expressed from Pre-Tx to 12 weeks indicating the evolution of immunity including expansion of CD45RO+CD62L- effector memory cells. Serial whole blood transcript monitoring demonstrated over 2000 differentially expressed genes, with over 80 percent down-regulated Post-Tx. However, cell subset analysis revealed a unique spectrum of subset-specific gene expression with time-dependent changes, with contrasting significant Post-Tx gene upregulation. Our results provide a unique view of the complex evolution of immune/inflammatory molecular networks marking the early post transplant immune response. A critical finding is that analysis of the constituent blood cell subsets provides an entirely new level of detail revealing the nature of this process, effectively deconvoluting the changes that are otherwise lost in the noise of cellular complexity of whole blood.

Publication Title

Deconvoluting post-transplant immunity: cell subset-specific mapping reveals pathways for activation and expansion of memory T, monocytes and B cells.

Sample Metadata Fields

Time

View Samples
Didn't see a related experiment?

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact