多样性(控制论)
数据科学
生物
身份(音乐)
计算生物学
计算机科学
认知科学
人工智能
心理学
声学
物理
作者
Marina Oliva,Ryan Lister
摘要
Summary In recent years, single‐cell genomics, coupled to imaging techniques, have become the state‐of‐the‐art approach for characterising biological systems. In plant sciences, a variety of tissues and species have been profiled, providing an enormous quantity of data on cell identity at an unprecedented resolution, but what biological insights can be gained from such data sets? Using recently published studies in plant sciences, we will highlight how single‐cell technologies have enabled a better comprehension of tissue organisation, cell fate dynamics in development or in response to various stimuli, as well as identifying key transcriptional regulators of cell identity. We discuss the limitations and technical hurdles to overcome, as well as future directions, and the promising use of single‐cell omics to understand, predict, and manipulate plant development and physiology.
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