Department of Neurology, Beidahuang Industry Group General Hospital, Harbin, China.
Institute for Stroke and Dementia Research (ISD), LMU Klinikum, Ludwig-Maximilian-University (LMU), Munich, Germany.
Front Neural Circuits. 2023 Mar 30;17:1007755. doi: 10.3389/fncir.2023.1007755. eCollection 2023.
Neural circuits are characterized as interconnecting neuron networks connected by synapses. Some kinds of gene expression and/or functional changes of neurons and synaptic connections may result in aberrant neural circuits, which has been recognized as one crucial pathological mechanism for the onset of many neurological diseases. Gradual advances in single-cell sequencing approaches with strong technological advantages, as exemplified by high throughput and increased resolution for live cells, have enabled it to assist us in understanding neuronal diversity across diverse brain regions and further transformed our knowledge of cellular building blocks of neural circuits through revealing numerous molecular signatures. Currently published transcriptomic studies have elucidated various neuronal subpopulations as well as their distribution across prefrontal cortex, hippocampus, hypothalamus, and dorsal root ganglion, etc. Better characterization of brain region-specific circuits may shed light on new pathological mechanisms involved and assist in selecting potential targets for the prevention and treatment of specific neurological disorders based on their established roles. Given diverse neuronal populations across different brain regions, we aim to give a brief sketch of current progress in understanding neuronal diversity and neural circuit complexity according to their locations. With the special focus on the application of single-cell sequencing, we thereby summarize relevant region-specific findings. Considering the importance of spatial context and connectivity in neural circuits, we also discuss a few published results obtained by spatial transcriptomics. Taken together, these single-cell sequencing data may lay a mechanistic basis for functional identification of brain circuit components, which links their molecular signatures to anatomical regions, connectivity, morphology, and physiology. Furthermore, the comprehensive characterization of neuron subtypes, their distributions, and connectivity patterns single-cell sequencing is critical for understanding neural circuit properties and how they generate region-dependent interactions in different context.
神经回路的特征是由突触连接的神经元网络的相互连接。神经元和突触连接的某些类型的基因表达和/或功能变化可能导致异常的神经回路,这已被认为是许多神经疾病发病的一个关键病理机制。单细胞测序方法的逐渐进步具有强大的技术优势,例如高通量和提高活细胞分辨率,使我们能够理解不同脑区的神经元多样性,并通过揭示大量分子特征进一步改变我们对神经回路细胞构建块的认识。目前发表的转录组研究已经阐明了各种神经元亚群及其在前额叶皮层、海马体、下丘脑和背根神经节等区域的分布。更好地表征特定脑区的回路可能会揭示新的病理机制,并有助于根据已建立的作用选择特定神经障碍预防和治疗的潜在靶点。鉴于不同脑区存在不同的神经元群体,我们旨在根据其位置简要概述理解神经元多样性和神经回路复杂性的当前进展。特别关注单细胞测序的应用,我们因此总结了相关的特定区域发现。考虑到神经回路中空间上下文和连接性的重要性,我们还讨论了通过空间转录组学获得的一些已发表的结果。总之,这些单细胞测序数据可能为脑回路组成部分的功能鉴定奠定机制基础,将其分子特征与解剖区域、连接性、形态和生理学联系起来。此外,单细胞测序对神经元亚型的全面表征、它们的分布和连接模式对于理解神经回路特性以及它们如何在不同背景下产生依赖于区域的相互作用至关重要。