Lecanemab: Microglial Program Analysis in Alzheimer's Disease
by Robert Likic·Updated 12d ago
15.4 MB36files
Available on 1 platform
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Description
A 15.4 MB computational re-analysis repository accompanies a manuscript submitted to Glia. It contains code, tables, and figures analyzing two publicly deposited datasets (GSE297665, GSE297667) from Albertini et al., Nature Neuroscience, 2025. The master R script reproduces an analytical pipeline for scRNA-seq and spatial transcriptomic data, including differential expression and pathway enrichment.
Use Cases
Reproduce differential expression analysis across plaque-distance zones based on the described pseudobulk edgeR method.
Perform Reactome pathway enrichment analysis based on the fgsea method described.
Score microglial states against published taxonomies (Sun 2023, Green 2024) based on the described scoring method.
Analyze Fc-dependent spatial amplification comparing Lecanemab and LALA-PG based on the described analysis.
Generate publication figures (Figures 1-5 and supplementary) based on the provided R script.
Strengths
Includes a master R script that reproduces the full analytical pipeline described in six steps.
Contains curated reference tables, differential expression results, pathway results, sensitivity analyses, and all manuscript figures.
All input data are publicly available from NCBI GEO, facilitating verification and extension.
Limitations
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
Third-party computational re-analysis of datasets GSE297665 and GSE297667 from Albertini, Zielonka, De Strooper et al., Nature Neuroscience, 2025.
Collection Method
No new experimental work; analysis includes ingestion of scRNA-seq and spatial transcriptomic data, pseudobulk differential expression, pathway enrichment, microglial state scoring, and spatial amplification analysis.
Freshness
Last updated 2026-05-25 17:58:55; freshness should be verified.
Scripts require R ≥ 4.3 and standard Bioconductor/CRAN dependencies as detailed in README.md.