refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
    0
github link
Build and Download Custom Datasets
refine.bio helps you build ready-to-use datasets with normalized transcriptome data from all of the world’s genetic databases.
Showing 3 of 3 results
Sort by

Filters

Technology

Platform

accession-icon GSE30316
Genome-wide analysis of the effect of PIAS1 knockdown by siRNA on the androgen regulated gene programs
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of PIAS1 co-regulation in the androgen signaling pathways in prostate cancer cell line.

Publication Title

SUMO ligase PIAS1 functions as a target gene selective androgen receptor coregulator on prostate cancer cell chromatin.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon GSE13353
Comparison of gene expression between ruptured and unruptured human intracranial aneurysms
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background and Purpose

Publication Title

Upregulated signaling pathways in ruptured human saccular intracranial aneurysm wall: an emerging regulative role of Toll-like receptor signaling and nuclear factor-κB, hypoxia-inducible factor-1A, and ETS transcription factors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP012461
RNA-Seq Analysis Reveals Different Dynamics of Differentiation of Human Dermis- and Adipose-derived Stromal Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 384 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Background: Tissue regeneration and recovery in the adult body depends on self-renewal and differentiation of stem and progenitor cells. Mesenchymal stem cells (MSCs) that have the ability to differentiate into various cell types, have been isolated from the stromal fraction of virtually all tissues. However, little is known about the true identity of MSCs. MSC populations exhibit great tissue-, location- and patient-specific variation in gene expression and are heterogeneous in cell composition. Methodology/Principal findings: Our aim was to analyze the dynamics of differentiation of two closely related stromal cell types, adipose tissue-derived MSCs and dermal fibroblasts (FBs) along adipogenic, osteogenic and chondrogenic lineages using multiplex RNA-seq technology. We found that undifferentiated donor-matched MSCs and FBs are distinct populations that stay different upon differentiation into adipocytes, osteoblasts and chondrocytes. The changes in lineage-specific gene expression occur early in differentiation and persist over time in both MSCs and FBs. Further, MSCs and FBs exhibit similar dynamics of adipogenic and osteogenic differentiation but different dynamics of chondrogenic differentiation. Conclusion: Our findings suggest that stromal stem cells including adipose-derived MSCs and dermal FBs exploit different molecular mechanisms of differentiation to reach a common cell fate. The early mechanisms of differentiation are lineage-specific and are similar for adipogenic and osteogenic differentiation but are distinct for chondrogenic differentiation between MSCs and FBs. Overall design: A total of 91 samples were analyzed by multiplex RNA-seq. Samples represented replicates from two patients, two cell types and three differentiation protocols, as indicated by the sample annotation. 5 barcodes were unused, but the corresponding FASTQ files are included for completeness.

Publication Title

RNA-seq analysis reveals different dynamics of differentiation of human dermis- and adipose-derived stromal stem cells.

Sample Metadata Fields

Specimen part, Treatment, Subject

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