Author
Listed:
- Wenjing Wang
(Chinese Academy of Medical Sciences & Peking Union Medical College
Tsinghua University)
- Hongyang Guo
(Tsinghua University)
- Xiaosa Yan
(Shenzhen University Medical School)
- Xuanzhen Pan
(Tsinghua University)
- Xiaofei Wang
(Chinese Academy of Sciences)
- Yiming Rong
(Tsinghua University)
- Zexiao Bai
(Chinese Academy of Sciences
University of Chinese Academy of Sciences)
- Liwan Zhang
(Chinese Academy of Sciences
University of Chinese Academy of Sciences)
- Zhaofa Wu
(Chinese Academy of Sciences
University of Chinese Academy of Sciences)
- Xinyu Zhao
(Tsinghua University)
- Weiren Huang
(the First Affiliated Hospital of Shenzhen University)
- Wei Qin
(Tsinghua University
Tsinghua University)
- Ling Chu
(Tsinghua University)
Abstract
Advancement in fluorescence imaging techniques enables the study of protein dynamics and localization with unprecedented spatiotemporal resolution. However, current imaging tools are unable to elucidate dynamic protein interactomes underlying imaging observations. Conversely, proteomics tools such as proximity labeling enable the analysis of protein interactomes at a single time point but lack information about protein dynamics. We herein develop Silicon-rhodamine-enabled Identification (SeeID) for near-infrared light controlled proximity labeling that could bridge the gap between imaging and proximity labeling. SeeID is benchmarked through characterization of various organelle-specific proteomes and the KRAS protein interactome. The fluorogenic nature of SiR allows for intracellular proximity labeling with high subcellular specificity. Leveraging SiR as both a fluorophore and a photocatalyst, we develop a protocol that allows the study of dynamic protein interactomes of Parkin during mitophagy. We discover the association of the proteasome complex with Parkin at early time points, indicating the involvement of the ubiquitin-proteasome system for protein degradation in the early phase of mitophagy. Additionally, by virtue of the deep tissue penetration of near-infrared light, we achieve spatiotemporally controlled proximity labeling in vivo across the mouse brain cortex with a labeling depth of ~2 mm using an off-the-shelf 660 nm LED light set-up.
Suggested Citation
Wenjing Wang & Hongyang Guo & Xiaosa Yan & Xuanzhen Pan & Xiaofei Wang & Yiming Rong & Zexiao Bai & Liwan Zhang & Zhaofa Wu & Xinyu Zhao & Weiren Huang & Wei Qin & Ling Chu, 2025.
"Silicon-rhodamine-enabled identification for near-infrared light controlled proximity labeling in vitro and in vivo,"
Nature Communications, Nature, vol. 16(1), pages 1-17, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63496-x
DOI: 10.1038/s41467-025-63496-x
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