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accession-icon GSE108036
Comparative analysis of cartilage tissue from ANP32A knockout mice and wildtype C57/Bl6 mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
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Description

A genetic association between the ANP32A gene and osteoarthritis has been suggested. We compared transcriptome profiles of the articular cartilage and subchondral bone from mice deficient in ANP32A with wild-type mice to get insights into the role of ANP32A in the pathogenesis of ostearthritis.

Publication Title

ANP32A regulates ATM expression and prevents oxidative stress in cartilage, brain, and bone.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE6933
Unique Molecular Signature of Multipotent Adult Progenitor Cells (Affy)
  • organism-icon Mus musculus, Rattus norvegicus
  • sample-icon 1 Downloadable Sample
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Description

We compare the transcriptome of embryonic stem cells (ESCs), adult stem cells with apparent greater differentiation potential such as multipotent adult progenitor cells (MAPCs), mesenchymal stem cells (MSCs) and neurospheres (NS). Mouse and rat MAPCs were used in this study and two different array platforms (Affymetrix and NIA) were used for mouse samples.

Publication Title

Comparative transcriptome analysis of embryonic and adult stem cells with extended and limited differentiation capacity.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6291
Transcriptome Analysis Multipotent Adult Progenitor Cells (Affy)
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon

Description

We compare the transcriptome of two different clones of multipotent adult progenitor cells (MAPCs) using Affymetrix arrays.

Publication Title

Hematopoietic reconstitution by multipotent adult progenitor cells: precursors to long-term hematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

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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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Developed by the Childhood Cancer Data Lab

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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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