Unknown

Dataset Information

0

Genetically encoded X-ray cellular imaging for nanoscale protein localization.


ABSTRACT: Spatial resolution defines the physical limit of microscopes for probing biomolecular localization and interactions in cells. Whereas synchrotron-based X-ray microscopy (XRM) represents a unique approach for imaging a whole cell with nanoscale resolution due to its intrinsic nanoscale resolution and great penetration ability, existing approaches to label biomolecules rely on the use of exogenous tags that are multi-step and error-prone. Here, we repurpose engineered peroxidases as genetically encoded X-ray-sensitive tags (GXET) for site-specific labeling of protein-of-interest in mammalian cells. We find that 3,3'-diaminobenzidine (DAB) polymers that are in-situ catalytically formed by fusion-expressed peroxidases are visible under XRM. Using this new tag, we imaged the protein location associated with the alteration of a DNA-methylation pathway with an ultra-high resolution of 30 nanometers. Importantly, the excellent energy resolution of XRM enables multicolor imaging using different peroxidase tags. The development of GXET enlightens the way to nanoscopic imaging for biological studies.

SUBMITTER: Kong H 

PROVIDER: S-EPMC8288996 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Genetically encoded X-ray cellular imaging for nanoscale protein localization.

Kong Huating H   Zhang Jichao J   Li Jiang J   Wang Jian J   Shin Hyun-Joon HJ   Tai Renzhong R   Yan Qinglong Q   Xia Kai K   Hu Jun J   Wang Lihua L   Zhu Ying Y   Fan Chunhai C  

National science review 20200402 7


Spatial resolution defines the physical limit of microscopes for probing biomolecular localization and interactions in cells. Whereas synchrotron-based X-ray microscopy (XRM) represents a unique approach for imaging a whole cell with nanoscale resolution due to its intrinsic nanoscale resolution and great penetration ability, existing approaches to label biomolecules rely on the use of exogenous tags that are multi-step and error-prone. Here, we repurpose engineered peroxidases as genetically en  ...[more]

Similar Datasets

| S-EPMC10703698 | biostudies-literature
| S-EPMC2843770 | biostudies-literature
| S-EPMC6936279 | biostudies-literature
| S-EPMC9708909 | biostudies-literature
| S-EPMC3126897 | biostudies-literature
| S-EPMC9344056 | biostudies-literature
| S-EPMC10117390 | biostudies-literature
| S-EPMC2873966 | biostudies-literature