ArticleBMC genomics2024
Single-nucleus analysis reveals microenvironment-specific neuron and glial cell enrichment in Alzheimer's disease.
Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Long non-coding RNAs in glial cells: key drivers of neuroinflammation in cognitive disorders.Frontiers in aging neuroscience · 2026Pooled it
- Long non-coding RNAs in neurodegenerative diseases - Molecular mechanisms, liquid biopsy biomarkers, and therapeutic targets: A review.Biomolecules & biomedicine · 2026Review
- PolyGR-containing aggregates link with pathology and clinical features of Alzheimer's disease.Acta neuropathologica · 2025Article
- Review
- Single-Cell RNA Sequencing and Spatial Transcriptomics Reveal a Novel Mechanism of Oligodendrocyte-Neuron Interaction in Cognitive Decline After High-Altitude Cerebral Edema.CNS neuroscience & therapeutics · 2025Article
- Single-Nucleus Landscape of Glial Cells and Neurons in Alzheimer's Disease.Molecular neurobiology · 2025Article
- Oligodendroglia in Ageing and Age-Dependent Neurodegenerative Diseases.Advances in neurobiology · 2025Review
- Identification of altered immune cell types and molecular mechanisms in Alzheimer's disease progression by single-cell RNA sequencing.Frontiers in aging neuroscience · 2024Article
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Authors and funding
10 authors.
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Abstract
backgroundAlzheimer's disease (AD) is a complicated neurodegenerative disease. Neuron-glial cell interactions are an important but not fully understood process in the progression of AD. We used bioinformatic methods to analyze single-nucleus RNA sequencing (snRNA-seq) data to investigate the cellular and molecular biological processes of AD.
methodsnRNA-seq data were downloaded from Gene Expression Omnibus (GEO) datasets and reprocessed to identify 240,804 single nuclei from healthy controls and patients with AD. The cellular composition of AD was further explored using Uniform Manifold Approximation and Projection (UMAP). Enrichment analysis for the functions of the DEGs was conducted and cell development trajectory analyses were used to reveal underlying cell fate decisions. iTALK was performed to identify ligand-receptor pairs among various cell types in the pathological ecological microenvironment of AD.
resultsSix cell types and multiple subclusters were identified based on the snRNA-seq data. A subcluster of neuron and glial cells co-expressing lncRNA-SNHG14, myocardin-related transcription factor A (MRTFA), and MRTFB was found to be more abundant in the AD group. This subcluster was enriched in mitogen-activated protein kinase (MAPK)-, immune-, and apoptosis-related pathways. Through molecular docking, we found that lncRNA-SNHG14 may bind MRTFA and MRTFB, resulting in an interaction between neurons and glial cells.
conclusionsThe findings of this study describe a regulatory relationship between lncRNA-SNHG14, MRTFA, and MRTFB in the six main cell types of AD. This relationship may contribute to microenvironment remodeling in AD and provide a theoretical basis for a more in-depth analysis of AD.
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