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自动化高多重化超分辨率成像技术在细胞和组织中探测蛋白质纳米结构。

Automated highly multiplexed super-resolution imaging of protein nano-architecture in cells and tissues.

机构信息

Department of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg University, Im Neuenheimer Feld 307, 69120, Heidelberg, Germany.

Institute of Physical and Theoretical Chemistry, Goethe-University Frankfurt, Max-von-Laue-Str. 7, 60438, Frankfurt, Germany.

出版信息

Nat Commun. 2020 Mar 25;11(1):1552. doi: 10.1038/s41467-020-15362-1.

Abstract

Understanding the nano-architecture of protein machines in diverse subcellular compartments remains a challenge despite rapid progress in super-resolution microscopy. While single-molecule localization microscopy techniques allow the visualization and identification of cellular structures with near-molecular resolution, multiplex-labeling of tens of target proteins within the same sample has not yet been achieved routinely. However, single sample multiplexing is essential to detect patterns that threaten to get lost in multi-sample averaging. Here, we report maSTORM (multiplexed automated serial staining stochastic optical reconstruction microscopy), a microscopy approach capable of fully automated 3D direct STORM (dSTORM) imaging and solution exchange employing a re-staining protocol to achieve highly multiplexed protein localization within individual biological samples. We demonstrate 3D super-resolution images of 15 targets in single cultured cells and 16 targets in individual neuronal tissue samples with <10 nm localization precision, allowing us to define distinct nano-architectural features of protein distribution within the presynaptic nerve terminal.

摘要

尽管超分辨率显微镜技术取得了快速进展,但要了解不同亚细胞隔室中蛋白质机器的纳米结构仍然是一个挑战。虽然单分子定位显微镜技术允许以接近分子的分辨率可视化和识别细胞结构,但在同一样品中对数十种目标蛋白进行多重标记尚未常规实现。然而,对单个样本进行多重标记对于检测那些有可能在多样本平均中丢失的模式至关重要。在这里,我们报告了 maSTORM(多重自动序列染色随机光学重建显微镜),这是一种能够完全自动化进行 3D 直接 STORM(dSTORM)成像和溶液交换的显微镜方法,采用重新染色方案在单个生物样品中实现高度多重的蛋白质定位。我们展示了单个培养细胞中 15 个靶标和单个神经元组织样品中 16 个靶标的 3D 超分辨率图像,具有<10nm 的定位精度,使我们能够定义突触前神经末梢中蛋白质分布的独特纳米结构特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad80/7096454/a5a60c8b4754/41467_2020_15362_Fig1_HTML.jpg

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