| Chapter title |
A cybrid cell model for the assessment of the link between mitochondrial deficits and sporadic Parkinson's disease.
|
|---|---|
| Chapter number | 31 |
| Book title |
Mitochondrial Medicine
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2288-8_31 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2287-1, 978-1-4939-2288-8
|
| Authors |
Daniela M Arduíno, A Raquel Esteves, Russell H Swerdlow, Sandra M Cardoso, Daniela M. Arduíno, A. Raquel Esteves, Russell H. Swerdlow, Sandra M. Cardoso, Arduíno, Daniela M., Esteves, A. Raquel, Swerdlow, Russell H., Cardoso, Sandra M. |
| Abstract |
Parkinson's disease (PD) is a multifactorial and clinically complex age-related movement disorder. The cause of its most common form (sporadic PD, sPD) is unknown, but one prominent causal factor is mitochondrial dysfunction. Although several genetic- and toxin-based models have been developed along the last decades to mimic the pathological cascade of PD, cellular models that reliably recapitulate the pathological features of the neurons that degenerate in PD are scarce.We describe here the generation of cytoplasmic hybrid cells (or cybrids) as a cellular model of sPD. This approach consists on the fusion of platelets harboring mtDNA from sPD patients with cells in which the endogenous mtDNA has been depleted (Rho0 cells).The sPD cybrid model has been successful in recapitulating most of the hallmarks of sPD, constituting now a validated model for addressing the link between mitochondrial dysfunction and sPD pathology. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Portugal | 1 | 4% |
| Russia | 1 | 4% |
| Unknown | 20 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 26% |
| Student > Ph. D. Student | 4 | 17% |
| Professor | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 22% |
| Agricultural and Biological Sciences | 4 | 17% |
| Neuroscience | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Business, Management and Accounting | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 26% |