合成发育生物学：用于解构和重建发育系统的新工具。
Synthetic developmental biology: New tools to deconstruct and rebuild developmental systems.
机构信息
Lewis Sigler Institute, Princeton University, Princeton, NJ 08544, USA; Department of Physics, Princeton University, Princeton, NJ 08544, USA; Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
Department of Physics, Princeton University, Princeton, NJ 08544, USA; Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
出版信息
Semin Cell Dev Biol. 2023 May 30;141:33-42. doi: 10.1016/j.semcdb.2022.04.013. Epub 2022 Apr 26.
Technological advances have driven many recent advances in developmental biology. Light sheet imaging can reveal single-cell dynamics in living three-dimensional tissues, whereas single-cell genomic methods open the door to a complete catalogue of cell types and gene expression states. An equally powerful but complementary set of approaches are also becoming available to define development processes from the bottom up. These synthetic approaches aim to reconstruct the minimal developmental patterns, signaling processes, and gene networks that produce the basic set of developmental operations: spatial polarization, morphogen interpretation, tissue movement, and cellular memory. In this review we discuss recent approaches at the intersection of synthetic biology and development, including synthetic circuits to deliver and record signaling stimuli and synthetic reconstitution of pattern formation on multicellular scales.
技术进步推动了发育生物学的许多最新进展。光片成像可以揭示活三维组织中单细胞的动态，而单细胞基因组学方法则为全面了解细胞类型和基因表达状态打开了大门。同样强大但互补的方法也正在出现，以从底层定义发育过程。这些合成方法旨在重建产生基本发育操作的最小发育模式、信号过程和基因网络：空间极化、形态发生素解释、组织运动和细胞记忆。在这篇综述中，我们讨论了合成生物学和发育交叉领域的最新方法，包括用于传递和记录信号刺激的合成电路，以及在多细胞尺度上的模式形成的合成重建。
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