Defining cell types and states with single-cell genomics.
Defining cell types and states with single-cell genomics.
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DOI：
10.1101/gr.190595.115
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发表时间：
2015-10
期刊：
影响因子：
7
通讯作者：
Trapnell C
中科院分区：
文献类型：
--
作者：
Trapnell C
一场细胞测量技术的革命正在进行：我们第一次有能力在一次实验中监测数千个单个细胞的全球基因调控。这样的实验将使我们能够发现新的细胞类型和状态，并追踪它们的发育起源。它们克服了测量大细胞群固有的基本限制，这些限制使解决细胞状态的努力受挫。单细胞基因组学和蛋白质组学不仅能够精确地表征细胞状态，而且还提供了状态之间转换的惊人的高分辨率视图。这些测量可能最终会让C.H. Waddington在近60年前提出的解释细胞可塑性的比喻变得清晰：细胞是可能状态的巨大“景观”中的居民，它们在发育和疾病期间在这些“景观”中旅行。单细胞技术不仅有助于在这一景观上定位细胞，而且阐明了塑造景观本身的分子机制。然而，单细胞基因组学是一个处于起步阶段的领域，需要许多实验和计算方面的进步才能充分发挥其全部潜力。
A revolution in cellular measurement technology is under way: For the first time, we have the ability to monitor global gene regulation in thousands of individual cells in a single experiment. Such experiments will allow us to discover new cell types and states and trace their developmental origins. They overcome fundamental limitations inherent in measurements of bulk cell population that have frustrated efforts to resolve cellular states. Single-cell genomics and proteomics enable not only precise characterization of cell state, but also provide a stunningly high-resolution view of transitions between states. These measurements may finally make explicit the metaphor that C.H. Waddington posed nearly 60 years ago to explain cellular plasticity: Cells are residents of a vast “landscape” of possible states, over which they travel during development and in disease. Single-cell technology helps not only locate cells on this landscape, but illuminates the molecular mechanisms that shape the landscape itself. However, single-cell genomics is a field in its infancy, with many experimental and computational advances needed to fully realize its full potential.