Human iPSC-based Modeling of Late-Onset Disease via Progerin-induced Aging

By Justine D. Miller, Yosif M. Ganat, Sarah Kishinevsky, Robert L. Bowman, Becky Liu, Edmund Y. Tu, P. Mandal, Elsa Vera, Jae-won Shim, Sonja Kriks and 7 more. Cell Stem Cell, 2013

750 citations recorded by the source corpus.

Summary Reprogramming somatic cells to induced pluripotent stem cells (iPSCs), resets their identity back to an embryonic age, and thus presents a significant hurdle for modeling late-onset disorders. In this study, we describe a strategy for inducing aging-related features in human iPSC-derived lineages and apply it to the modeling of Parkinson’s disease (PD). Our approach involves expression of progerin, a truncated form of lamin A associated with premature aging. We found that expression of progerin in iPSC-derived fibroblasts and neurons induces multiple aging-related markers and characteristics, including dopamine-specific phenotypes such as neuromelanin accumulation. Induced aging in PD-iPSC-derived dopamine neurons revealed disease phenotypes that require both aging and genetic susceptibility, such as pronounced dendrite degeneration, progressive loss of tyrosine-hydroxylase (TH) expression and enlarged mitochondria or Lewy body-precursor inclusions. Thus, our study suggests that progerin-induced aging can be used to reveal late-onset age-related disease features in hiPSC-based disease models.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/85646629670007abee7746a9dfe241cf52809acf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

  1. Hongjun Song
  2. Guo-li Ming
  3. Fred H. Gage
  4. J. Gonçalves
  5. Xuyu Qian
  6. M. Hetzer
  7. Emily M. Hatch
  8. German Ignacio Parisi

Citations in the corpus