Title |
Drosophila melanogaster as a model organism for Alzheimer’s disease
|
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Published in |
Molecular Neurodegeneration, November 2013
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DOI | 10.1186/1750-1326-8-35 |
Pubmed ID | |
Authors |
Katja Prüßing, Aaron Voigt, Jörg B Schulz |
Abstract |
Drosophila melanogaster provides an important resource for in vivo modifier screens of neurodegenerative diseases. To study the underlying pathogenesis of Alzheimer's disease, fly models that address Tau or amyloid toxicity have been developed. Overexpression of human wild-type or mutant Tau causes age-dependent neurodegeneration, axonal transport defects and early death. Large-scale screens utilizing a neurodegenerative phenotype induced by eye-specific overexpression of human Tau have identified several kinases and phosphatases, apoptotic regulators and cytoskeleton proteins as determinants of Tau toxicity in vivo. The APP ortholog of Drosophila (dAPPl) shares the characteristic domains with vertebrate APP family members, but does not contain the human Aβ42 domain. To circumvent this drawback, researches have developed strategies by either direct secretion of human Aβ42 or triple transgenic flies expressing human APP, β-secretase and Drosophila γ-secretase presenilin (dPsn). Here, we provide a brief overview of how fly models of AD have contributed to our knowledge of the pathomechanisms of disease. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 5 | <1% |
United Kingdom | 4 | <1% |
Germany | 1 | <1% |
India | 1 | <1% |
Korea, Republic of | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 637 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 154 | 24% |
Student > Ph. D. Student | 101 | 16% |
Student > Master | 89 | 14% |
Researcher | 54 | 8% |
Student > Postgraduate | 17 | 3% |
Other | 54 | 8% |
Unknown | 181 | 28% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 164 | 25% |
Biochemistry, Genetics and Molecular Biology | 139 | 21% |
Neuroscience | 69 | 11% |
Medicine and Dentistry | 16 | 2% |
Chemistry | 16 | 2% |
Other | 56 | 9% |
Unknown | 190 | 29% |