Published May 4, 2025 | Version v1
Computational notebook Open

Spatially resolved molecular signatures of Lewy body dementia and the Impact of APOE4

Description

Spatially Resolved Molecular Signatures of Lewy Body Dementia and the Impact of APOE4

This repository contains the computational methods used in the study: "Spatially resolved molecular signatures of Lewy body dementia and the Impact of APOE4" by Jin et al. This study investigates the spatial transcriptomic signatures of Lewy body dementia (LBD) with a focus on the impact of APOE4 genotype. Our analysis examines the molecular differences between APOE3 and APOE4 carriers in LBD patients.

Code overview

  • processAndIntegrate.r: QC, filtering, normalization and integration of spatial data using Seurat and Harmony.
  • spacexrDeconvolution.r: Cell type deconvolution using SpaceXR.
  • spacexr_functions.r: Custom extensions for SpaceXR.
  • figures.R: Visualization scripts for all manuscript figures.
  • dotplot_IPA.R: Visualization of Ingenuity Pathway Analysis results.
  • upsetPlots.r: UpSet plots for differentially expressed gene intersections.
  • stats.R: Statistical analysis of LB annotations across layers, genotypes, and disease states.

Data Analysis Workflow

The analysis follows these key steps:

  1. Processing and integration of spatial transcriptomics data
  2. Cell type deconvolution using snRNA-seq reference data
  3. Annotation of spatial spots for LB status and cortical layers
  4. Differential expression analysis between APOE genotypes
  5. Pathway analysis and visualization

Contact

Na Zhao (zhao.na@mayo.edu), Mayo Clinic, Department of Neuroscience for more information.

Files

YJ_spatialCode.zip

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Additional details

Dates

Submitted
2025-05-04

Software

Programming language
R