Unraveling High‐Risk Cell‐Cell Interactions in Alzheimer's Disease Using an Integrative Single Cell Analysis

This study highlights the novelty of our pipeline in integrating RNA-seq data to identify robust intercellular communication networks in AD. By prioritizing consistent interactions across datasets, we provide insights into AD pathology that inform experimental validation and therapeutic development.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70855_105077
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
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article

Unraveling High‐Risk Cell‐Cell Interactions in Alzheimer's Disease Using an Integrative Single Cell Analysis

Travis S. Johnson, Jie Zhang, Jiahui Liu, Kun Huang
Alzheimer s & Dementia
Single-cell and spatial transcriptomics
article

Unraveling High‐Risk Cell‐Cell Interactions in Alzheimer's Disease Using an Integrative Single Cell Analysis

Travis S. Johnson, Jie Zhang, Jiahui Liu, Kun Huang
article en

Abstract

This study highlights the novelty of our pipeline in integrating RNA-seq data to identify robust intercellular communication networks in AD. By prioritizing consistent interactions across datasets, we provide insights into AD pathology that inform experimental validation and therapeutic development.

Alzheimer s & DementiaVol. 21(S1)
Indiana Biosciences Research Institute (US), Indiana University – Purdue University Indianapolis (US)
Openalex Percentile: Top 36%
Single-cell and spatial transcriptomics
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