单细胞测序技术在肝脏疾病的应用与展望

新兴的单细胞测序技术能够从单细胞水平揭示基因组、转录组和表观遗传学等分子水平发生的基因变异与表观修饰状态,也可用于鉴定新的细胞类型和表面标记物。这将帮助人们探明疾病发生时细胞基因、转录或表观修饰方面的变化,了解细胞之间的联系,以及深入理解肿瘤异质性。目前,单细胞测序技术已用于多种疾病的研究,其在肝脏疾病,包括肝硬化、肝癌中已有相关成果。于此,综述了单细胞测序技术在肝脏发育及肝病中的应用,讨论了肝脏疾病发生的内在机制以及该技术仍存在的问题,提出可能的解决方案,如发展三维单细胞测序技术将更能帮助人们深刻理解肝脏疾病发生机制。     

Single-Cell Gene Expression Analysis: Implications for Neurodegenerative and Neuropsychiatric Disorders

Technical and experimental advances in microaspiration techniques, RNA amplification, quantitative real-time polymerase chain reaction (qPCR), and cDNA microarray analysis have led to an increase in the number of studies of single-cell gene expression. In particular, the central nervous system (CNS) is an ideal structure to apply single-cell gene expression paradigms. Unlike an organ that is composed of one principal cell type, the brain contains a constellation of neuronal and noneuronal populations of cells. A goal is to sample gene expression from similar cell types within a defined region without potential contamination by expression profiles of adjacent neuronal subpopulations and noneuronal cells. The unprecedented resolution afforded by single-cell RNA analysis in combination with cDNA microarrays and qPCR-based analyses allows for relative gene expression level comparisons across cell types under different experimental conditions and disease states. The ability to analyze single cells is an important distinction from global and regional assessments of mRNA expression and can be applied to optimally prepared tissues from animal models as well as postmortem human brain tissues. This focused review illustrates the potential power of single-cell gene expression studies within the CNS in relation to neurodegenerative and neuropsychiatric disorders such as Alzheimer's disease (AD) and schizophrenia, respectively.     

Optimization of Single-Cell Electroporation Protocol for Forced Gene Expression in Primary Neuronal Cultures

The development and function of the central nervous system (CNS) are realized through interactions between many neurons. To investigate cellular and molecular mechanisms of the development and function of the CNS, it is thus crucial to be able to manipulate the gene expression of single neurons in a complex cell population. We recently developed a technique for gene silencing by introducing small interfering RNA into single neurons in primary CNS cultures using single-cell electroporation. However, we had not succeeded in forced gene expression by introducing expression plasmids using single-cell electroporation. In the present study, we optimized the experimental conditions to enable the forced expression of green fluorescent protein (GFP) in cultured cerebellar Purkinje neurons using single-cell electroporation. We succeeded in strong GFP expression in Purkinje neurons by increasing the inside diameter of micropipettes or by making the size of the original plasmid smaller by digestion and cyclizing it by ligation. Strong GFP expression in Purkinje neurons electroporated under the optimal conditions continued to be observed for more than 25 days after electroporation. Thus, this technique could be used for forced gene expression in single neurons to investigate cellular and molecular mechanisms of the development, function, and disease of the CNS.     

Single-cell analysis of tumors: Creating new value for molecular biomarker discovery of cancer stem cells and tumor-infiltrating immune cells

Biomarker-driven individualized treatment in oncology has made tremendous progress through technological developments, new therapeutic modalities and a deeper understanding of the molecular biology for tumors, cancer stem cells and tumor-infiltrating immune cells. Recent technical developments have led to the establishment of a variety of cancer-related diagnostic, prognostic and predictive biomarkers. In this regard, different modern OMICs approaches were assessed in order to categorize and classify prognostically different forms of neoplasia. Despite those technical advancements, the extent of molecular heterogeneity at the individual cell level in human tumors remains largely uncharacterized. Each tumor consists of a mixture of heterogeneous cell types. Therefore, it is important to quantify the dynamic cellular variations in order to predict clinical parameters, such as a response to treatment and or potential for disease recurrence. Recently, single-cell based methods have been developed to characterize the heterogeneity in seemingly homogenous cancer cell populations prior to and during treatment. In this review, we highlight the recent advances for single-cell analysis and discuss the challenges and prospects for molecular characterization of cancer cells, cancer stem cells and tumor-infiltrating immune cells.     

Methodological Considerations Regarding Single-Cell Gene Expression Profiling for Brain Injury

Genomic microarrays are rapidly becoming ubiquitous throughout a wide variety of biological disciplines. As their use has grown during the past few years, many important discoveries have been made in the fields of central nervous system (CNS) injury and disease using this emerging technology. In addition, single-cell mRNA amplification techniques are now being used along with microarrays to overcome many of the difficulties associated with the cellular heterogeneity of the brain. This development has extended the utility of gene expression profiling and has provided researchers with exciting new insights into the neuropathology of CNS injury and disease at a molecular and cellular level. New methodological, standardization, and statistical techniques are currently being developed to improve the reproducibility of microarrays and facilitate the analysis of large amounts of data. In this review, we will discuss the application of these techniques to experimental, clinically relevant models of traumatic brain injury.     

Cell type diversity in scallop adductor muscles revealed by single-cell RNA-Seq

Studies on cell atlas in marine invertebrates provide a better understanding of cell types, stem cell maintenance, and lineages of cell differentiation. To investigate the molecular features of various cell types in molluscan muscles, we performed single-cell RNA sequencing (scRNA-seq) to map cell types in scallop adductor muscles. We uncovered the cell type-specific features of 20 cell clusters defined by the expression of multiple specific molecular markers. These cell clusters are mainly classified into four broad classes, including mesenchymal stem cells, muscle cells, neurons, and haemolymph cells. In particular, we identified a diverse repertoire of neurons in the striated adductor muscle, but not in the smooth muscle. We further reconstructed the cell differentiation events using all the cell clusters by single-cell pseudotemporal trajectories. By integrating dual BrdU-PCNA immunodetection, neuron-specific staining and electron microscopy observation, we showed the spatial distribution of mesenchymal stem cells and neurons in striated adductor muscle of scallops. The present findings will not only be useful to address the cell type-specific gene expression profiles in scallop muscles, but also provide valuable resources for cross-species comparison of marine organisms.     

Single-cell analysis of Drosophila larval neuromuscular synapses

The neuromuscular system of Drosophila has been widely used in studies on synaptic development. In the embryo, the cellular components of this model system are well established, with uniquely identified motoneurons displaying specific connectivity with distinct muscles. Such knowledge is essential to analyzing axon guidance and synaptic matching mechanisms with single-cell resolution. In contrast, to date the cellular identities of the larval neuromuscular synapses are hardly established. It is not known whether synaptic connections seen in the embryo persist, nor is it known how individual motor endings may differentiate through the larval stages. In this study, we combine single-cell dye labeling of individual synaptic boutons and counterstaining of the entire nervous system to characterize the synaptic partners and bouton differentiation of the 30 motoneuron axons from four nerve branches (ISN, SNa, SNb, and SNd). We also show the cell body locations of 4 larval motoneurons (RP3, RP5, V, and MN13-Ib) and the types of innervation they develop. Our observations support the following: (1) Only 1 motoneuron axon of a given bouton type innervates a single muscle, while up to 4 motoneuron axons of different bouton types can innervate the same muscle. (2) The type of boutons which each motoneuron axon forms is likely influenced by cell-autonomous factors. The data offer a basis for studying the properties of synaptic differentiation, maintenance, and plasticity with a high cellular resolution.     

单细胞转录组测序技术在细胞分类中的应用

多细胞有机体的细胞类型多且复杂,细胞间普遍存在异质性。目前,单细胞转录组测序(single-cell RNA sequencing,scRNA-seq)技术是一项新兴的研究单个细胞转录水平的技术,其从数千个平行的细胞中生成转录谱,揭示个体细胞基因组的差异性表达,反映细胞间的异质性,从而鉴定出不同细胞类型,形成组织或器官的细胞图谱,在生物和临床医学等领域发挥重要作用。该文在对scRNA-seq测序平台进行阐述和比较的基础上,着重介绍其在神经系统和免疫系统细胞类型探索中的应用,并且总结scRNA-seq与空间转录组技术相结合的研究成果。     

Neue Verfahren für Einzelzellanalysen in Forschung und Diagnostik

Traditional cytogenetics is a paradigm for single-cell diagnostics; after a banding procedure, each metaphase examined represents the analysis of an entire genome of a cell, albeit at a low resolution. For several decades, this single-cell character has represented an important distinction in molecular genetics technologies, which are mostly based on DNA or RNA extracted from hundreds or thousands of cells. However, many essential questions can be addressed only by analyzing cells on the level of fewer or single cells. In the last few years, new single-cell techniques have been developed with the aim to simultaneously examine more regions with improved resolution. In this overview we summarize the most important recent developments and changes.