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Patch-seq: Advances and Biological Applications

delete2023-12-20
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PRE
AI
M
Mingting Shao
张
张伟 (Wei Zhang)
叶丽 封面图
叶丽 (Ye Li)
L
Lei Tang
Z
Zhao-Zhe Hao
S
Sheng Liu *
DOI:10.1007/s10571-023-01436-3delete
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摘要

摘要

En 中文
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.
Keyword:
Patch-clamp
Sc/snRNA-seq
Patch-seq
Electrophysiology
Transcriptomics
Morphology
Multimodal

期刊

Cellular and Molecular Neurobiology 封面图
Cellular and Molecular Neurobiology
IF:
4.8
论文数:
3.4K
被引数:
7.3K

机构

S
Sun Yat Sen University
学者数:
9.9W
论文数: 7.2W
被引数: 95
引用论文

引用论文

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