Article

Single-cell digital twins identify drug targets and repurposable medicine in Alzheimer’s disease

2025-01-20

Abstract excerpt

Alzheimer’s disease (AD) is a complex and poorly understood neurodegenerative disorder without sufficiently effective treatments. Novel approaches to identify FDA-approved drugs that may hold potential for mitigating symptoms of AD hold promise for addressing this problem. One such strategy is the use of digital twins (DTs), which are virtual representations of physical entities that facilitate therapeutic target...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 95b02ab3-e5cb-5219-bcfb-85661a2457a6
DOI: 10.1101/2025.01.14.633081

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Single-cell digital twins identify drug targets and repurposable medicine in Alzheimer’s diseaseDOI 10.1101/2025.01.14.633081Read

Data-driven discovery of cell-type-directed network-correcting combination therapy for Alzheimer’s diseaseSemantic proximity Read

The Alzheimer's Cell Atlas (TACA): A single‐cell molecular map for translational therapeutics accelerator in Alzheimer's diseaseSemantic proximity Read

Efficient differential expression analysis of large-scale single cell transcriptomics data using dreamletSemantic proximity Read

A single-cell atlas of the human brain in Alzheimer’s disease and its implications for personalized drug repositioningSemantic proximity Read

Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer's disease.Semantic proximity Read

Cell type transcriptomics reveal shared genetic mechanisms in Alzheimer’s and Parkinson’s diseaseSemantic proximity Read

Unraveling the intercellular communication disruption and key pathways in Alzheimer's disease: An integrative study of single-nucleus transcriptomes and genetic associationSemantic proximity Read

Efficient differential expression analysis of large-scale single cell transcriptomics data using dreamletSemantic proximity Read

Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer’s diseaseSemantic proximity Read

From Correlation to Causation: Cell-Type-Specific Gene Regulatory Networks in Alzheimer’s DiseaseSemantic proximity Read

Systematic assessment of the biological impact of cellular deconvolution on downstream analyses of disease transcriptomesSemantic proximity Read

Unraveling the intercellular communication disruption and key pathways in Alzheimer’s disease: an integrative study of single-nucleus transcriptomes and genetic associationSemantic proximity Read