five

Single-Molecule Light-Sheet Microscopy with Local Nanopipette Delivery

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
https://figshare.com/articles/dataset/Single-Molecule_Light-Sheet_Microscopy_with_Local_Nanopipette_Delivery/14046757
下载链接
链接失效反馈
官方服务:
资源简介:
The detection of single molecules in biological systems has rapidly increased in resolution over the past decade. However, the delivery of single molecules remains to be a challenge. Currently, there is no effective method that can both introduce a precise amount of molecules onto or into a single cell at a defined position and then image the cellular response. Here, we have combined light-sheet microscopy with local delivery, using a nanopipette, to accurately deliver individual proteins to a defined position. We call this method local-delivery selective-plane illumination microscopy (ldSPIM). ldSPIM uses a nanopipette and ionic feedback current at the nanopipette tip to control the position from which the molecules are delivered. The number of proteins delivered can be controlled by varying the voltage applied. For single-molecule detection, we implemented single-objective SPIM using a reflective atomic force microscopy cantilever to create a 2 μm thin sheet. Using this setup, we demonstrate that ldSPIM can deliver single fluorescently labeled proteins onto the plasma membrane of HK293 cells or into the cytoplasm. Next, we deposited the aggregates of amyloid-β, which causes proteotoxicity relevant to Alzheimer’s disease, onto a single macrophage stably expressing a MyDD88-eGFP fusion construct. Whole-cell imaging in the three-dimensional (3D) mode enables the live detection of MyDD88 accumulation and the formation of myddosome signaling complexes, as a result of the aggregate-induced triggering of toll-like receptor 4. Overall, we demonstrate a novel multifunctional imaging system capable of precise delivery of single proteins to a specific location on the cell surface or inside the cytoplasm and high-speed 3D detection at single-molecule resolution within live cells.
创建时间:
2021-02-17
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作