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Resolving cellular dynamics using single-cell temporal transcriptomics
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DOI：10.1016/j.copbio.2023.103060.png)
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En 中文
Cellular dynamics, the transition of a cell from one state to another, is central to understanding developmental processes and disease progression. Single-cell transcriptomics has been pushing the frontiers of cellular dynamics studies into a genome-wide and single-cell level. While most single-cell RNA sequencing approaches are disruptive and only provide a snapshot of cell states, the dynamics of a cell could be reconstructed by either exploiting temporal information hiding in the transcriptomics data or integrating additional information. In this review, we describe these approaches, highlighting their underlying principles, key assumptions, and the rationality to interpret the results as models. We also discuss the recently emerging nondisruptive live-cell transcriptomics methods, which are highly complementary to the computational models for their assumption-free nature
Keyword:
FATE
BIOLOGY
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IF:
7
论文数:
5.0K
被引数:
1.9W
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引用论文
Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics弹弓: 单细胞转录组学的细胞谱系和伪时间推断.png)
BMC GENOMICS
OAAI
BMC GENOMICSIF3.7
OAAI分享收藏The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells单细胞的假时间顺序揭示了细胞命运决定的动力学和调节剂NATURE BIOTECHNOLOGYOAAI
NATURE BIOTECHNOLOGYIF41.7
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