Passlick Stefan, Ellis-Davies Graham C R
Department of Neuroscience, Mount Sinai School of Medicine, New York, NY, United States; Institute of Cellular Neurosciences, University of Bonn Medical School, Bonn, Germany.
Department of Neuroscience, Mount Sinai School of Medicine, New York, NY, United States.
Methods Enzymol. 2019;624:167-196. doi: 10.1016/bs.mie.2019.05.003. Epub 2019 May 30.
Caged compounds enable fast, light-induced, and spatially-defined application of bioactive molecules to cells. Covalent attachment of a caging chromophore to a crucial functionality of a biomolecule renders it inert, while short pulses of light release the caged molecule in its active form. Caged neurotransmitters have been widely used to study diverse neurobiological processes such as receptor distribution, synaptogenesis, transport, and long-term potentiation. Since the neurotransmitters glutamate and gamma-aminobutyric acid (GABA) are the most important, they have been studied extensively using uncaging. However, to be able to probe their interactions on a physiologically relevant timescale, fast and independent application of both neurotransmitters in an arbitrary order is desired. This can be achieved by combining two caging chromophores absorbing non-overlapping and thus orthogonal wavelengths of light, which enables the precise application of two caged molecules to the same preparation in any order, a technique called two-color uncaging. In this chapter, we describe the principles of orthogonal two-color uncaging with one- and two-photon excitation with an emphasis on caged glutamate and GABA. We then give a guide to its practical application and highlight some key studies utilizing this technique.
笼形化合物能够将生物活性分子快速、光诱导且在空间上限定地应用于细胞。笼形发色团与生物分子的关键官能团共价连接会使其失去活性,而短光脉冲会使笼形分子以其活性形式释放出来。笼形神经递质已被广泛用于研究各种神经生物学过程,如受体分布、突触形成、转运和长时程增强。由于神经递质谷氨酸和γ-氨基丁酸(GABA)最为重要,因此已使用脱笼技术对它们进行了广泛研究。然而,为了能够在生理相关的时间尺度上探究它们的相互作用,需要能够以任意顺序快速且独立地应用这两种神经递质。这可以通过组合两种吸收不重叠(即正交)波长光的笼形发色团来实现,这使得能够以任意顺序将两种笼形分子精确地应用于同一制剂中,这种技术称为双色脱笼。在本章中,我们描述了单光子和双光子激发下正交双色脱笼的原理,重点是笼形谷氨酸和GABA。然后我们给出其实际应用指南,并突出一些利用该技术的关键研究。