ArticleScientific reports2023
Deconvolution reveals cell-type-specific transcriptomic changes in the aging mouse brain.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- Older adult APOE4 mice exhibit modest immunometabolic adaptation following microglial APOE2 replacement.Neurobiology of aging · 2026Article
- Humanized Klotho haplotypes cause widespread transcriptomic changes in mouse brain.bioRxiv : the preprint server for biology · 2026Article
- TAAR5 Modulates Sensorimotor Recovery After Spinal Cord Injury.Biomedicines · 2026Article
- Effects of aging and anti-aging dietary restriction on regulators of the [NADPH]/[NADPFree radical biology & medicine · 2025Review
- RnaXtract, a tool for extracting gene expression, variants, and cell-type composition from bulk RNA sequencing.Scientific reports · 2025Article
- Article
- Approaching the holistic transcriptome-convolution and deconvolution in transcriptomics.Briefings in bioinformatics · 2025Review
- Knocking Out TAAR5: A Pathway to Enhanced Neurogenesis and Dopamine Signaling in the Striatum.Cells · 2024Article
- Comprehensive transcriptome analysis reveals altered mRNA splicing and post-transcriptional changes in the aged mouse brain.Nucleic acids research · 2024Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Mounting evidence highlights the crucial role of aging in the pathogenesis of Alzheimer's disease (AD). We have previously explored human apoE-targeted replacement mice across different ages and identified distinct molecular pathways driven by aging. However, the specific contribution of different brain cell types to the gene modules underlying these pathways remained elusive. To bridge this knowledge gap, we employed a computational deconvolution approach to examine cell-type-specific gene expression profiles in major brain cell types, including astrocytes (AS), microglia (MG), oligodendroglia (OG), neurons (NEU), and vascular cells (VC). Our findings revealed that immune module genes were predominantly expressed in MG, OG, and VC. The lipid metabolism module genes were primarily expressed in AS, MG, and OG. The mitochondria module genes showed prominent expression in VC, and the synapse module genes were primarily expressed in NEU and VC. Furthermore, we identified intra- and inter-cell-type interactions among these module genes and validated their aging-associated expression changes using published single cell studies. Our study dissected bulk brain transcriptomics data at the cellular level, providing a closer examination of the cell-type contributions to the molecular pathways driven by aging.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.