Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

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

Authors: Li, Zonghua;

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

Abstract

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: Processing and integration of spatial transcriptomics data Cell type deconvolution using snRNA-seq reference data Annotation of spatial spots for LB status and cortical layers Differential expression analysis between APOE genotypes Pathway analysis and visualization Contact Na Zhao (zhao.na@mayo.edu), Mayo Clinic, Department of Neuroscience for more information.

Related Organizations
Keywords

Lewy Body Disease, Apolipoprotein E4, Transcriptome

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average