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The search for better animal models of Alzheimer’s disease
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“It typically requires additional expression of human tau harboring mutations associated with primary tauopathy (94–96) or seeding mutant human APP knock-in mouse brain with human AD brain-derived tau (97) to develop the tau pathology.”
From Modeling late-onset Alzheimer’s disease neuropathology via direct neuronal reprogramming (2024) · cites this paper as [95]
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Metadata
- Authors
- King, A.
- Corresponding author
- King, Anthony
- Venue
- Nature
- Published
- 2018-07-25
- Volume
- 559
- Issue
- 7715
- Pages
- S13-S15
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2883910861
- Cited by
- 142
- References
- 0
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 40 · 2023: 9 · 2022: 14 · 2021: 27 · 2020: 24 · 2019: 16
- FWCI
- 11.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, animal models, cell model, drug development, transgenic mouse model
- MeSH terms
- Aged, 80 and over, Alzheimer Disease, Animals, Callithrix, Disease Models, Animal, Drug Evaluation, Preclinical, Humans, Macaca mulatta, Mice, Transgenic, Middle Aged, Models, Biological, Organoids, Peptide Fragments, Vaccines, Reproducibility of Results, Amyloid beta-Peptides, tau Proteins, Apolipoprotein E4, Presenilin-1, Induced Pluripotent Stem Cells, Translational Research, Biomedical, Neural Stem Cells, Protein Aggregation, Pathological
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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