Akshatha Ganne
Post Doctoral Fellow
University of Arkansas for Medical Sciences
postdoc
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Biography and Research Information
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Akshatha Ganne's research focuses on understanding the molecular mechanisms underlying neurodegenerative diseases, particularly Alzheimer's disease. Her work investigates the role of protein aggregation and intrinsically disordered proteins as potential biomarkers for neurodegeneration. Ganne has explored how these aggregates can entrap RNA and DNA, and how translational elongation rates influence their formation. She has also examined the potential of targeting specific protein interactions, such as 14-3-3G::Hexokinase, with small molecules like Ezetimibe to mitigate disease processes. Her publications also extend to the impact of systemic conditions, such as myocardial infarction, on protein aggregation in both the heart and brain, and the use of machine learning to identify key factors contributing to protein aggregation in neurodegenerative conditions. Ganne has a publication record of 20 papers with 263 citations and an h-index of 10.
Metrics
- h-index: 10
- Publications: 20
- Citations: 263
Selected Publications
- The aggregate proteome of Caenorhabditis elegans mitochondria implicates shared mechanisms of aging and Alzheimer’s disease (2026) DOI
- Zolpidem restores sleep and slows Alzheimer’s progression in a mouse model (2025) DOI
- Ezetimibe Lowers Risk of Alzheimer’s and Related Dementias over Sevenfold, Reducing Aggregation in Model Systems by Inhibiting 14-3-3G::Hexokinase Interaction (2024) DOI
- Rescue of ApoE4-related lysosomal autophagic failure in Alzheimer’s disease by targeted small molecules (2024) DOI
- Alzheimer’s-specific brain amyloid interactome: Neural-network analysis of intra-aggregate crosslinking identifies novel drug targets (2023) DOI
- Myocardial infarction elevates endoplasmic reticulum stress and protein aggregation in heart as well as brain (2023) DOI
- Protein homeostasis in the aged and diseased heart (2023) DOI
- In silico analysis of TUBA4A mutations in Amyotrophic Lateral Sclerosis to define mechanisms of microtubule disintegration (2023) DOI
- Physiological Consequences of Targeting 14-3-3 and Its Interacting Partners in Neurodegenerative Diseases (2022) DOI
- Machine-learning analysis of intrinsically disordered proteins identifies key factors that contribute to neurodegeneration-related aggregation (2022) DOI
- Glial Fibrillary Acidic Protein: A Biomarker and Drug Target for Alzheimer’s Disease (2022) DOI
- In Silico Analysis of TUBA4A Mutations in Amyotrophic Lateral Sclerosis to Define Mechanisms of Microtubule Disintegration (2022) DOI
- Glial Fibrillary Acidic Protein: A Biomarker and Drug Target for Alzheimer's Disease (2021) DOI
- Intrinsically disordered proteins identified in the aggregate proteome serve as biomarkers of neurodegeneration (2021) DOI
- “Protein aggregates” contain RNA and DNA, entrapped by misfolded proteins but largely rescued by slowing translational elongation (2021) DOI
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