New insights empowered by single-cell sequencing: From neural crest to enteric nervous system.
| Autor: | Li Z; Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong., Ngan ES; Department of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong. |
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| Jazyk: | angličtina |
| Zdroj: | Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2022 May 18; Vol. 20, pp. 2464-2472. Date of Electronic Publication: 2022 May 18 (Print Publication: 2022). |
| DOI: | 10.1016/j.csbj.2022.05.025 |
| Abstrakt: | With the rapid development of single-cell sequencing technologies, it has become a powerful strategy for the discovery of rare cells and delineating the molecular basis underlying various biological processes. Use of single-cell multimodal sequencing to explore the chromatin accessibility, gene expression and spatial transcriptome has propelled us to success in untangling the unknowns in the enteric nervous system (ENS) and provided unprecedented resources for building new diagnostic framework for enteric neuropathies. Here, we summarize the recent findings of single-cell multimodal sequencing, especially focusing on the most commonly used single-cell RNA sequencing (scRNA-seq) on ENS cells, ranged from the progenitors, neural crest (NC) cells, to the mature ENS circuit, in both human and mouse. These studies have highlighted the heterogeneity of ENS cells at various developmental stages and discovered numerous novel cell types. We will also discuss various computational methods that were used to reconstruct the differentiation trajectories of the developing ENS and to elucidate the cell fate decisions. Profiling disease mechanisms and cellular drug responses with single-cell multimodal omics techniques likely leads to a paradigm shift in the field of biomedical research. Further improvements in the high-resolution sequencing platforms and integrative computational tools will greatly hasten their applications in both the basic and translational medicine. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2022 The Author(s).) |
| Databáze: | MEDLINE |
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