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accession-icon GSE66078
Emergence of a developmental stage-dependent human liver disease signature demonstrated by directed differentiation of alpha-1 antitrypsin deficient iPS cells
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Emergence of a stage-dependent human liver disease signature with directed differentiation of alpha-1 antitrypsin-deficient iPS cells.

Sample Metadata Fields

Cell line

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accession-icon GSE66076
Emergence of a developmental stage-dependent human liver disease signature demonstrated by directed differentiation of alpha-1 antitrypsin deficient iPS cells [HuGene-1_0-st]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We monitored 9 pluripotent stem cell lines across three time points of hepatic directed differentiation, representing 3 developmental stages: undifferentiated (T0), definitive endoderm (T5), and early hepatocyte (T24). ESCs (n=3) and patient-derived normal (n=3) or PiZZ (n=3) iPSCs were analyzed in the undifferentiated state (T0), after differentiation to definitive endoderm (T5), and upon reaching hepatic stage (T24) for a total of 27 samples. We sought to test the hypothesis that a single transgene-free iPSC clone from each donor could be used to detect disease-specific differences between the normal cohort and the PiZZ cohort, anticipating that this difference would emerge only at a developmental stage in which the mutant AAT gene is expressed. Cells were sorted before analysis at T0 and T5 after antibody staining for TRA1-80+/SSEA3+ (T0) or C-kit+/CXCR4+ (T5) cells.

Publication Title

Emergence of a stage-dependent human liver disease signature with directed differentiation of alpha-1 antitrypsin-deficient iPS cells.

Sample Metadata Fields

Cell line

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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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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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