Author
Listed:
- Mingyang Li
(Southeast University
Nanjing Medical University)
- Xiaorong Song
(Southeast University)
- Haixia Tu
(Nanjing Medical University)
- Jie Sun
(Southeast University)
- Yuanyuan Deng
(Southeast University)
- Bing Wang
(Nanjing Medical University)
- Yuhan Cai
(Southeast University)
- Yulian Wang
(Nanjing Medical University)
- Bin Li
(Southeast University)
- Yue Wang
(Nanjing Medical University)
- Xiangzheng Zhang
(Nanjing Medical University)
- Dong Wei
(Southeast University)
- Xiaoyu Yang
(Nanjing Medical University)
- Yueshuai Guo
(Nanjing Medical University)
- Xiang Li
(Southeast University)
- Jie Gu
(Jiangnan University)
- Jie Ni
(Southeast University)
- Yifan Zhou
(Southeast University)
- Zhongze Gu
(Southeast University)
- Zhuoying Xie
(Southeast University)
- Yan Li
(Nanjing Medical University)
- Xuejiang Guo
(Nanjing Medical University
Innovation Center of Suzhou Nanjing Medical University)
Abstract
Extracellular vesicles (EVs) carry complex glycoproteins critical mediators of disease progression and hold great potential for liquid biopsy applications. However, their low abundance presents significant analytical challenges. This study develop a versatile platform for EV N-glycoproteomic analysis (EVGpro), which enables tandem EV capture, EV protein digestion, and enrichment of N-glycopeptides. Functionalized magnetic nanochains with cell-penetrating peptides (octa-arginine, R8) enable efficient EV isolation, followed by on-chain hydrolysis to expose PEG2000 for ultrasensitive glycopeptide enrichment. The streamlined EVGpro platform identified up to 17 times more EV glycoproteins than ultracentrifugation across seven biofluids, profiling 398 EV glycoproteins from just 1 μL tear. Applied to seminal plasma, EVGpro uncover disease-specific glycoprotein signatures and identified previously unreported subtypes of asthenozoospermia. This robust and scalable approach advances the sensitive detection of disease biomarkers and molecular subtypes from diverse biofluids to enable precision medicine.
Suggested Citation
Mingyang Li & Xiaorong Song & Haixia Tu & Jie Sun & Yuanyuan Deng & Bing Wang & Yuhan Cai & Yulian Wang & Bin Li & Yue Wang & Xiangzheng Zhang & Dong Wei & Xiaoyu Yang & Yueshuai Guo & Xiang Li & Jie , 2025.
"A functionally tunable magnetic nanochains platform for N-glycoproteomic analysis of extracellular vesicles from ultratrace biofluids,"
Nature Communications, Nature, vol. 16(1), pages 1-18, December.
Handle:
RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63075-0
DOI: 10.1038/s41467-025-63075-0
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63075-0. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.