首页|Correlation Analysis of Molecularly-Defined Cortical Interneuron Populations with Morpho-Electric Properties in Layer V of Mouse Neocortex

Correlation Analysis of Molecularly-Defined Cortical Interneuron Populations with Morpho-Electric Properties in Layer V of Mouse Neocortex

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Cortical interneurons can be categorized into distinct populations based on multiple modalities,including molecular signatures and morpho-electrical(M/E)proper-ties.Recently,many transcriptomic signatures based on sin-gle-cell RNA-seq have been identified in cortical interneu-rons.However,whether different interneuron populations defined by transcriptomic signature expressions correspond to distinct M/E subtypes is still unknown.Here,we applied the Patch-PCR approach to simultaneously obtain the M/E properties and messenger RNA(mRNA)expression of＞600 interneurons in layer V of the mouse somatosensory cortex(S1).Subsequently,we identified 11 M/E subtypes,9 neurochemical cell populations(NCs),and 20 transcrip-tomic cell populations(TCs)in this cortical lamina.Further analysis revealed that cells in many NCs and TCs comprised several M/E types and were difficult to clearly distinguish morpho-electrically.A similar analysis of layer V interneu-rons of mouse primary visual cortex(V1)and motor cortex(M1)gave results largely comparable to S1.Comparison between S1,V1,and M1 suggested that,compared to V1,S1 interneurons were morpho-electrically more similar to M1.Our study reveals the presence of substantial M/E varia-tions in cortical interneuron populations defined by molecu-lar expression.

Cortical interneuronCell populationTranscriptomic signatureMorpho-electrical propertiesCorrelation analysisBrain area

Jun-Wei Cao、Xiao-Yi Mao、Liang Zhu、Zhi-Shuo Zhou、Shao-Na Jiang、Lin-Yun Liu、Shu-Qing Zhang、Yinghui Fu、Wen-Dong Xu、Yong-Chun Yu

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Jing'an District Central Hospital of Shanghai,State Key Laboratory of Medical Neurobiology,MOE Frontiers Center for Brain Science,Institutes of Brain Science,Fudan University,Shanghai 200032,China

School of Life Sciences,Fudan University,Shanghai 200433,China

Department of Vascular Surgery,Shanghai Pudong Hospital,Fudan University Pudong Medical Center,Shanghai 201399,China

School of Data Science,Fudan University,Shanghai 200433,China

The National Clinical Research Center for Aging and Medicine,Huashan Hospital,Fudan University,Shanghai 200032,China

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National Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaFoundation of Shanghai Municipal Education CommissionCollaborative Innovation Program of Shanghai Municipal Health CommissionShanghai Municipal Science and Technology Major ProjectZJLab

2021ZD020250031930044317250122019-01-07-00-07-E000622020CXJQ012018SHZDZX01

2023

10.1007/s12264-022-00983-x

神经科学通报(英文版)
中国科学院上海生命科学研究院

神经科学通报(英文版)

CSTPCDCSCD
影响因子：0.741
ISSN：1673-7067
年,卷(期)：2023.39(7)
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