| Chapter title |
Developing yeast models of human neurodegenerative disorders.
|
|---|---|
| Chapter number | 8 |
| Book title |
Neurodegeneration
|
| Published in |
Methods in molecular biology, September 2011
|
| DOI | 10.1007/978-1-61779-328-8_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-327-1, 978-1-61779-328-8
|
| Authors |
Ocampo A, Barrientos A, Alejandro Ocampo, Antoni Barrientos, Ocampo, Alejandro, Barrientos, Antoni |
| Abstract |
Neurodegenerative diseases represent one of the most devastating types of diseases in older populations in our time. Significant efforts have been made over the last 20 years to understand the molecular, biochemical, and physiological alterations underlying these diseases. However, in most cases, little is known about their pathological mechanisms due to their high complexity and involvement of a multiplicity of cellular pathways. To gain insight into this group of disorders and to devise potential therapeutic approaches, cellular and animal models of neurodegenerative proteinopathies have been created. Among them, the yeast Saccharomyces cerevisiae has been one of the most popular model organisms due to the degree of conservation of many biological pathways from yeast to human as well as its ease of use. Here, we describe how to create yeast models of neurodegenerative proteinopathies by ectopic expression of human proteins and how to perform a basic characterization of these models by analyzing cellular toxicity and protein aggregation. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 18% |
| Researcher | 3 | 18% |
| Student > Ph. D. Student | 3 | 18% |
| Student > Master | 2 | 12% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Computer Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 35% |