ArticleNature biotechnology2023
Droplet-based transcriptome profiling of individual synapses.
Article in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 62 citations in OpenAlex.
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- A single-cell transcriptomic atlas of sensory-dependent gene expression in developing mouse visual cortex.Development (Cambridge, England) · 2025Article
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- Understanding the molecular diversity of synapses.Nature reviews. Neuroscience · 2025Review
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- Applying single-cell and single-nucleus genomics to studies of cellular heterogeneity and cell fate transitions in the nervous system.Nature neuroscience · 2024Review
- Integration across biophysical scales identifies molecular and cellular correlates of person-to-person variability in human brain connectivity.Nature neuroscience · 2024Article
- DEPICT-seq: Single-Cell Transcriptomic Analysis of Rare Cell Subsets Isolated via Nucleic Acid Cytometry.Analytical chemistry · 2024Article
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- Review
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9 authors at 4 institutions in 2 countries.
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Abstract
Synapses are crucial structures that mediate signal transmission between neurons in complex neural circuits and display considerable morphological and electrophysiological heterogeneity. So far we still lack a high-throughput method to profile the molecular heterogeneity among individual synapses. In the present study, we develop a droplet-based single-cell (sc) total-RNA-sequencing platform, called Multiple-Annealing-and-Tailing-based Quantitative scRNA-seq in Droplets, for transcriptome profiling of individual neurites, primarily composed of synaptosomes. In the synaptosome transcriptome, or 'synaptome', profiling of both mouse and human brain samples, we detect subclusters among synaptosomes that are associated with neuronal subtypes and characterize the landscape of transcript splicing that occurs within synapses. We extend synaptome profiling to synaptopathy in an Alzheimer's disease (AD) mouse model and discover AD-associated synaptic gene expression changes that cannot be detected by single-nucleus transcriptome profiling. Overall, our results show that this platform provides a high-throughput, single-synaptosome transcriptome profiling tool that will facilitate future discoveries in neuroscience.
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