refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 690 results
Sort by

Filters

Technology

Platform

accession-icon GSE29759
The Role of microRNAs in Neural Stem Cell-supported Endothelial Morphogenesis
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

MicroRNA microarrays and RNA expression arrays were used to identify functional signaling between neural stem cell progenitor cells (NSPC) and brain endothelial cells (EC) that are critical during embryonic development and tissue repair following brain injury.

Publication Title

The role of microRNAs in neural stem cell-supported endothelial morphogenesis.

Sample Metadata Fields

Specimen part, Disease, Treatment

View Samples
accession-icon SRP081167
Transcriptomic profiles of intestinal stem cells cultured in natural and synthetic three-dimensional matrices
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We used RNA-seq to define the gene expression profiles of intestinal stem cells (ISCs) expanded in Matrigel, degradable poly(ethylene) glycol (PEG) and non-degradable PEG matrices. Comparison of mRNA profiles between ISCs grown in Matrigel and non-degradable PEG show no major differences in expression of gene related to stemness, proliferation and signaling via the Wnt and Notch pathways. These results also show that ISC cultured in degradable PEG matrices upregulate stress- and inflammation-related genes compared with cells expanded in non-degradable PEG matrices. Overall design: mRNA profiles of ISCs cultured in the three types of matrices for 4 days were generated in triplicate

Publication Title

Designer matrices for intestinal stem cell and organoid culture.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE47377
Microarray expression profiling of Runx1-null and wildtype mouse mammary epithelial cells
  • organism-icon Mus musculus
  • sample-icon 21 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

RUNX1, a transcription factor mutated in breast cancer, controls the fate of ER-positive mammary luminal cells.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE47376
Microarray expression profiling of distinct subsets of mouse mammary epithelial cells
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The purpose of this microarray experiment was to obtain reference gene expression patterns of a number of epithelial cell populations [mammary stem cells (MASC), luminal progenitors (LP), alveolar luminal stem/progenitor cells (WC virgin-these are mammary epithelial cells genetically marked by Wap-Cre in virgin females), mature luminal cells (ML, mainly represent ductal luminal cells in virgin females), and alveolar luminal cells (WC preg these are alveolar cells genetically marked by Wap-Cre during mid-gestation)] present in the mammary gland of wildtype adult mice on a C57BL6 genetic background.

Publication Title

RUNX1, a transcription factor mutated in breast cancer, controls the fate of ER-positive mammary luminal cells.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE47375
Microarray expression profiling study of Runx1-null and wild type luminal mammary epithelial cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

RUNX1 encodes a RUNX family transcription factor (TF) and was recently identified as a novel mutated gene in human luminal breast cancers. We found that Runx1 is expressed in all subpopulations of murine mammary epithelial cells (MECs) except the secretory alveolar luminal cells. Conditional knockout of Runx1 in MECs by MMTV-Cre led to a decrease in luminal MECs, largely due to a profound reduction in the estrogen receptor (ER)-positive mature luminal subpopulation, a phenotype that could be rescued by loss of either Trp53 or Rb1. Mechanistically RUNX1 represses Elf5, a master regulatory TF gene for alveolar cells, and activates Foxa1, a key mature luminal TF gene involved in the ER program. Collectively, our data identified a key regulator of the ER+ luminal lineage whose disruption may contribute to development of ER+ luminal breast cancer when under the background of either TP53 or RB1 loss.

Publication Title

RUNX1, a transcription factor mutated in breast cancer, controls the fate of ER-positive mammary luminal cells.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE15184
Global colorectal cancer gene expression in rats
  • organism-icon Rattus norvegicus
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The rat models of colorectal cancer (CRC), such as the azoxymethane (AOM) cancer-inducing model, are important tools for researching cancer initiation pathways. However, there is limited understanding of the expression pathways of underlying normal rat colonic epithelium and how this relates to human colonic epithelium. The aim of this study was to study the acute effects of AOM on the gene and pathway expression of the rat's colonic epithelium, whilst contrasting the background normal global expression patterns along the length of the rat as compared to the normal human colonic epithelium.

Publication Title

Genomic homeostasis is dysregulated in favour of apoptosis in the colonic epithelium of the azoxymethane treated rat.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE52896
Human mesenchymal stromal cell expansion in a 3D scaffold-based system under direct perfusion
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Development of systems allowing the maintenance of native properties of mesenchymal stromal cells (MSC) is a critical challenge for studying physiological functions of skeletal progenitors, as well as towards cellular therapy and regenerative medicine applications. Conventional stem cell culture in monolayer on plastic dishes (2D) is associated with progressive loss of functionality, likely due to the absence of a biomimetic microenvironment and the selection of adherent populations. Here we demonstrate that 2D MSC expansion can be entirely bypassed by culturing freshly isolated bone marrow cells within the pores of 3D scaffolds in a perfusion-based bioreactor system, followed by enzymatic digestion for cell retrieval. The 3D-perfusion system supported MSC growth while maintaining cells of the hematopoietic lineage, and thus generated a cellular environment mimicking some features of the bone marrow stroma. As compared to 2D-expansion, sorted CD45- cells derived from 3D-perfusion culture after the same time (3 weeks) or a similar extent of proliferation (7-8 doublings) maintained a 4.3-fold higher clonogenicity and exhibited a superior differentiation capacity towards all typical mesenchymal lineages, with similar immunomodulatory function in vitro. Transcriptomic analysis performed on MSC from 5 donors validated the robustness of the process and indicated a reduced inter-donor variability as well as a significant upregulation of multipotency-related gene clusters following 3D-perfusion as compared to 2D expansion. The described system offers a model to study how factors of a 3D engineered niche may regulate MSC function and, by streamlining conventional labor-intensive processes, is prone to automation and scalability within closed bioreactor systems.

Publication Title

Expansion of human mesenchymal stromal cells from fresh bone marrow in a 3D scaffold-based system under direct perfusion.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE97396
Lamin A/C ablation in pancreatic acinar cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Lamin A/C was ablated in pancreatic acinar cells using Elastase1 driven, Cre-ErT mediated, LoxP recombination, causing excision of exons 10 and 11 of the Lmna gene

Publication Title

Lamin A/C Maintains Exocrine Pancreas Homeostasis by Regulating Stability of RB and Activity of E2F.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE36223
Molecular defense mechanisms of Barrett's metaplasia estimated by an integrative genomics
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Barrett's esophagus is characterized by the replacement of squamous epithelium with specialized intestinal metaplastic mucosa. The exact mechanisms of initiation and development of Barrett's metaplasia remain unknown, but a hypothesis of successful adaptation against noxious reflux components has been proposed. To search for the repertoire of adaptation mechanisms of Barrett's metaplasia, we employed high-throughput functional genomic and proteomic methods that defined the molecular background of metaplastic mucosa resistance to reflux. Transcriptional profiling was established for 23 pairs of esophageal squamous epithelium and Barrett's metaplasia tissue samples using Affymetrix U133A 2.0 GeneChips and validated by quantitative real-time polymerase chain reaction. Differences in protein composition were assessed by electrophoretic and mass-spectrometry-based methods. Among 2,822 genes differentially expressed between Barrett's metaplasia and squamous epithelium, we observed significantly overexpressed metaplastic mucosa genes that encode cytokines and growth factors, constituents of extracellular matrix, basement membrane and tight junctions, and proteins involved in prostaglandin and phosphoinositol metabolism, nitric oxide production, and bioenergetics. Their expression likely reflects defense and repair responses of metaplastic mucosa, whereas overexpression of genes encoding heat shock proteins and several protein kinases in squamous epithelium may reflect lower resistance of normal esophageal epithelium than Barrett's metaplasia to reflux components. Despite the methodological and interpretative difficulties in data analyses discussed in this paper, our studies confirm that Barrett's metaplasia may be regarded as a specific microevolution allowing for accumulation of mucosal morphological and physiological changes that better protect against reflux injury.

Publication Title

Molecular defense mechanisms of Barrett's metaplasia estimated by an integrative genomics.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE105141
Transcriptome analysis of murine macrophages infected with different strains of Leptospira spp
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Leptospirosis is a neglected zoonotic disease of global importance. Despite its prevalence, pathogenesis is still poorly understood. Our aim was to discover transcripts responsable for pathogenicity of leptospirosis. We compared the transcriptome profiles of saprophyte, attenuated and virulent strain of Leptospira spp.

Publication Title

Transcriptome datasets of macrophages infected with different strains of <i>Leptospira</i> spp.

Sample Metadata Fields

Cell line

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