2022
DOI: 10.1186/s13024-022-00517-z
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Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer’s disease: review, recommendation, implementation and application

Abstract: Alzheimer’s disease (AD) is the most common form of dementia, characterized by progressive cognitive impairment and neurodegeneration. Extensive clinical and genomic studies have revealed biomarkers, risk factors, pathways, and targets of AD in the past decade. However, the exact molecular basis of AD development and progression remains elusive. The emerging single-cell sequencing technology can potentially provide cell-level insights into the disease. Here we systematically review the state-of-the-art bioinfo… Show more

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Cited by 50 publications
(44 citation statements)
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References 562 publications
(901 reference statements)
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“…The expression profiles of each cell using the 2000 most variable genes as measured by dispersion ( 41 , 42 ) were used for neighborhood graph generation and dimensionality reduction with t-distributed stochastic neighbour embedding (tSNE) or UMAP ( 43 ). Clustering was performed on this neighborhood graph using the Leiden community detection algorithm ( 44 ).…”
Section: Methodsmentioning
confidence: 99%
“…The expression profiles of each cell using the 2000 most variable genes as measured by dispersion ( 41 , 42 ) were used for neighborhood graph generation and dimensionality reduction with t-distributed stochastic neighbour embedding (tSNE) or UMAP ( 43 ). Clustering was performed on this neighborhood graph using the Leiden community detection algorithm ( 44 ).…”
Section: Methodsmentioning
confidence: 99%
“…Emerging sc/snRNA-seq approaches not only have become vital tools for dissecting heterogeneity and composition of cell types, but also provided significant insights into molecular mechanisms for complex human diseases such as Alzheimer's disease (see our review) 39 . Here we profiled 315,867 single nuclei, which is unprecedent, in the human SN from 32 postmortem brains including PD and controls of an average age at 81.…”
Section: Discussionmentioning
confidence: 99%
“…Nevertheless, studies on the proteomic changes in the plasma or serum of AD patients are still very rare, due to the technical limitations and complex proteomic changes in serum [ 28 ]. The advent of single-cell sequencing technology provides an effective method for studying the cellular heterogeneity in the brain and provides an approach to discover cell-specific biomarkers [ 29 , 30 , 31 ].…”
Section: Discussionmentioning
confidence: 99%