refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 108 results
Sort by

Filters

Technology

Platform

accession-icon GSE32381
Cell-type specific control of enhancer activity by H3K9 trimethylation
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cell-type-specific control of enhancer activity by H3K9 trimethylation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE142170
Promoter nucleosome positioning in dendritic cells (DCs) and fibroblasts
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Role of cell-type specific nucleosome positioning in inducible activation of mammalian promoters.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE32255
JmjD2d-dependence of LPS-induced genes
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In dendritic cells, expression of the H3K9me3 demethylase JmjD2d is upregulated by LPS stimulation. To identify genes whose induction by LPS depends on JmjD2d activity, we performed a microarray analysis of wild-type and JmjD2d-knockdown dendritic cells, before and after stimulation with LPS.

Publication Title

Cell-type-specific control of enhancer activity by H3K9 trimethylation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE142076
Expression data from fibroblasts with knock-down of Brg1 and Brm
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to asses gene expression in 3T3 fibroblasts, after knock-down of Brg1 and Brm using stable shRNA interference. Cells were treated with 5ng/ml mouse TNF-alpha to stimulate inducible gene activation.

Publication Title

Role of cell-type specific nucleosome positioning in inducible activation of mammalian promoters.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12697
Trap-80-dependence of TNF-alpha-induced genes
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In fibroblasts, p65-dependent genes can be sub-divided, depending on whether they are Trap-80-dependent or -independent. To examine the generality of this grouping, we performed a microarray analysis of wild-type and Trap-80 knock-down fibroblasts, before and after stimulation of NF-kappaB activity using TNF-alpha.

Publication Title

Two modes of transcriptional activation at native promoters by NF-kappaB p65.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE119717
Genome-wide expression profiling of the perivascular adipose tissue in abdominal aortic aneurysm
  • organism-icon Homo sapiens
  • sample-icon 119 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Perivascular adipose tissue (PVAT) is thought to play a role in vascular homeostasis and in the pathogenesis of diseases of large vessels, including abdominal aortic aneurysm (AAA). We tested the hypothesis that locally restricted transcriptional profiles characterize PVAT surrounding AAA. Using a genome-wide approach, we investigated the PVAT transcriptome of AAA in 30 patients with either large (55 mm) or small (<55 mm) aneurysm diameter. We performed a data adjustment step using the DaMiRseq R/Bioconductor package, to remove the effect of confounders as produced by high-throughput gene expression techniques. We compared PVAT of AAA with PVAT of not-dilated abdominal aorta of each patient to limit the effect of inter-individual variability, using the limma R/Bioconductor package. We found highly consistent differences in PVAT gene expression clearly distinguishing PVAT of AAA from PVAT of not-dilated aorta, which increased in number and magnitude with increasing AAA diameter. These changes did not systemically affect other abdominal adipose depots (omental or subcutaneous fat). We dissected putative mechanisms associated with PVAT involvement in AAA through a functional enrichment network analysis: both innate and adaptive immune-response genes along with genes related to cell-death pathways, metabolic processes of collagen, sphingolipids, aminoglycans and extracellular matrix degradation were strongly overrepresented in PVAT of AAA compared with PVAT of not-dilated aorta. Our results provide support to a possible role of PVAT in AAA pathogenesis and suggest that AAA is an immunologic disease with an underlying autoimmune component. These disease-specific expression signatures could help identifying pharmacological targets for preventing AAA progression.

Publication Title

Genome-Wide Expression Profiling Unveils Autoimmune Response Signatures in the Perivascular Adipose Tissue of Abdominal Aortic Aneurysm.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

View Samples
accession-icon SRP146068
Expression profiling of clonally derived skeletal progenitors from mouse bone marrow
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Bone marrow stromal cells (BMSCs) were isolated from the femora and tibiae of irtTA-GBD*-TAg transgenic mice. Using cellular cloning we established skeletal progenitors with distinct differentiation properties and analysed their transcriptome. Unipotent osteogenic and adipogenic cells expressed specific transcriptional programs whereas bipotent clones combined expression of those genes and did not show a unique signature. Overall design: Expression profiling (RNA-seq) of two independent clones from different mice representing skeletal progenitors with the following characteristics: tripotent clones (Osteogenic, Adipogenic, Chondrogenic = OAC1 and OAC2); bipotent clones (Osteogenic, Adipogenic = OA1 and OA2); unipotent clones (Osteogenic = O1 and O2; Adipogenic = A1 and A2). Further, we prepared and sequenced pools of several other clones from these two mice, with the following properties: tripotent clones (Osteogenic, Adipogenic, Chondrogenic = OAC3); bipotent clones (Osteogenic, Adipogenic = OA3; Osteogenic, Chondrogenic = OC3; Adipogenic, Chondrogenic = AC3); unipotent clones (Osteogenic = O3; Adipogenic = A3).

Publication Title

Clonal Analysis Delineates Transcriptional Programs of Osteogenic and Adipogenic Lineages of Adult Mouse Skeletal Progenitors.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE49439
Differentiation of human amniotic fluid kidney progenitor cells into podocytes and comparison with human conditionally immortalized podocytes
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In this work, we isolated and characterized a novel cell population derived from human amniotic fluid cells (hAKPC-P), and we differentiated them into podocytes.

Publication Title

A novel source of cultured podocytes.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE40715
Gene signature of adult mammary stem cells and mammary cancer stem cells
  • organism-icon Mus musculus
  • sample-icon 24 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

Cancer stemness in Wnt-driven mammary tumorigenesis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE40702
Gene signature of adult mammary stem cells and mammary cancer stem cells (Affymetrix)
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The Wnt/beta-catenin signalling pathway plays a central role in mammary stem cell homeostasis and in breast cancer. We employed the CD29hiCD24+ cell surface antigens to identify a subpopulation of mammary CSCs from Apc1572T/+, a mouse model for metaplastic breast adenocarcinoma, a subtype of triple-negative breast cancer in man. The MaCSCs are capable of recapitulating tumorigenesis when transplanted at low multiplicities in vivo, and of forming self-renewing organoids in vitro. Expression profiling of the different subpopulations sorted from normal and neoplastic mammary tissues revealed that the normal stem cell compartment is more similar to tumor cells than to their own differentiated progenies. Accordingly, Wnt signaling was found to be activated in the subpopulation encompassing normal mammary stem cells, though to a lesser degree than in the tumor cells. By comparing normal with cancer mouse mammary compartments, we were able to derive a MaCSC-specific signature composed of human orthologous genes able to predict poor survival, relapse and distant metastasis in human breast cancer. Finally, upon intravenous injection, only MaCSCs among the different tumor cell subpopulations are able to form metastatic lesions in a broad spectrum of anatomical sites. Overall, our data indicate that constitutive Wnt signaling activation interferes with mammary stem cell homeostasis leading to metaplasia and basal-like adenocarcinomas.

Publication Title

Cancer stemness in Wnt-driven mammary tumorigenesis.

Sample Metadata Fields

No sample metadata fields

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)

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