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accession-icon GSE2378
Normal and glaucomatous astrocytes
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

Astrocytes from optic nerve head from donors with and without glaucoma

Publication Title

Differential gene expression in astrocytes from human normal and glaucomatous optic nerve head analyzed by cDNA microarray.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43382
Gene-expression change along with differentiation stage from human iPS cells to astrocytes
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

gene-expression change along with differentiation stage from human iPS cells to astrocytes is unkown.

Publication Title

Modeling Alzheimer's disease with iPSCs reveals stress phenotypes associated with intracellular Aβ and differential drug responsiveness.

Sample Metadata Fields

Specimen part

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accession-icon GSE43326
Gene expression data from iPSC-derived neural cells, comparison between APP wild and E693delta mutation
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Oligomeric forms of amyloid-beta peptide (Abeta) are presumed to play a pivotal role in the pathogenesis of Alzheimers disease (AD). However, it is still unclear how Abeta oligomers contribute to AD pathogenesis in patient neural cells. We generated induced pluripotent stem cells (iPSCs) from a familial AD patient and differentiated them into neural cells. Abeta oligomers were accumulated in neural cells of AD bearing amyloid precursor protein (APP)-E693delta mutation.

Publication Title

Modeling Alzheimer's disease with iPSCs reveals stress phenotypes associated with intracellular Aβ and differential drug responsiveness.

Sample Metadata Fields

Specimen part

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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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