Mutant induced pluripotent stem cell lines recapitulate aspects of TDP-43 proteinopathies and reveal cell-specific vulnerability

Bilada Bilican(Mott MacDonald (United Kingdom)), Andrea Serio(Mott MacDonald (United Kingdom)), Sami J. Barmada(Gladstone Institutes), Agnes L. Nishimura(King's College London), Gareth J. Sullivan(Medical Research Council), Mónica A. Carrasco(Columbia University), Hemali Phatnani(Columbia University), Clare A. Puddifoot(University of Edinburgh), David Story(Mott MacDonald (United Kingdom)), Judy Fletcher(Medical Research Council), In‐Hyun Park(Yale Cancer Center), Brad A. Friedman(Harvard University), George Q. Daley(Harvard University), David J. A. Wyllie(University of Edinburgh), Giles E. Hardingham(University of Edinburgh), Ian Wilmut(Medical Research Council), Steven Finkbeiner(Gladstone Institutes), Tom Maniatis(Columbia University), Christopher E. Shaw(King's College London), Siddharthan Chandran(Mott MacDonald (United Kingdom))
Proceedings of the National Academy of Sciences
March 26, 2012
Cited by 337Open Access
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Abstract

Transactive response DNA-binding (TDP-43) protein is the dominant disease protein in amyotrophic lateral sclerosis (ALS) and a subgroup of frontotemporal lobar degeneration (FTLD-TDP). Identification of mutations in the gene encoding TDP-43 (TARDBP) in familial ALS confirms a mechanistic link between misaccumulation of TDP-43 and neurodegeneration and provides an opportunity to study TDP-43 proteinopathies in human neurons generated from patient fibroblasts by using induced pluripotent stem cells (iPSCs). Here, we report the generation of iPSCs that carry the TDP-43 M337V mutation and their differentiation into neurons and functional motor neurons. Mutant neurons had elevated levels of soluble and detergent-resistant TDP-43 protein, decreased survival in longitudinal studies, and increased vulnerability to antagonism of the PI3K pathway. We conclude that expression of physiological levels of TDP-43 in human neurons is sufficient to reveal a mutation-specific cell-autonomous phenotype and strongly supports this approach for the study of disease mechanisms and for drug screening.


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