Patch-seq: Advances and Biological Applications

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, mo...

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Veröffentlicht in:Cellular and molecular neurobiology 2024-12, Vol.44 (1), p.8, Article 8
Hauptverfasser: Shao, Mingting, Zhang, Wei, Li, Ye, Tang, Lei, Hao, Zhao-Zhe, Liu, Sheng
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container_title Cellular and molecular neurobiology
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creator Shao, Mingting
Zhang, Wei
Li, Ye
Tang, Lei
Hao, Zhao-Zhe
Liu, Sheng
description 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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subjects Biomedical and Life Sciences
Biomedicine
Cell Biology
Electrophysiology
Gene expression
Gene Expression Profiling
Nervous system
Neurobiology
Neurosciences
Patch-Clamp Techniques
Phenotypes
Review Paper
Sequence Analysis, RNA
Single-Cell Analysis
Transcriptome
Transcriptomics
title Patch-seq: Advances and Biological Applications
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