Abstract
Multimodal analysis of gene-expression patterns, electrophysiological properties, and morphological phenotypes at the single-cell/single-nucleus level has been arduous because of the diversity and complexity of neurons. The emergence of Patch-sequencing (Patch-seq) directly links transcriptomics, morphology, and electrophysiology, taking neuroscience research to a multimodal era. In this review, we summarized the development of Patch-seq and recent applications in the cortex, hippocampus, and other nervous systems. Through generating multimodal cell type atlases, targeting specific cell populations, and correlating transcriptomic data with phenotypic information, Patch-seq has provided new insight into outstanding questions in neuroscience. We highlight the challenges and opportunities of Patch-seq in neuroscience and hope to shed new light on future neuroscience research.
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This research is supported by research grants from the Natural Science Foundation of China (Grant Nos. 81961128021 and 81870682), the National Key R&D Program of China (Grant No. 2022YEF0203200), the Guangdong Provincial Key R&D Programs (Grant No. 2018B030335001) and the Science and Technology Program of Guangzhou (Grant Nos. 202007030011 and 202007030010).
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LS conceived the review. LS, SMT, ZW, LY, TL and HZZ prepared the manuscript and table. All authors read and approved the final version of the manuscript.
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Shao, M., Zhang, W., Li, Y. et al. Patch-seq: Advances and Biological Applications. Cell Mol Neurobiol 44, 8 (2024). https://doi.org/10.1007/s10571-023-01436-3
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DOI: https://doi.org/10.1007/s10571-023-01436-3