Label-free robotic mitochondrial biopsy

Robotic micromanipulation has advanced cellular probing, yet achieving precise, minimally invasive intracellular operations without fluorescent labeling remains challenging. Fluorescent techniques often cause photodamage and cytotoxicity and interfere with downstream analyses. Here, we introduce an automated, multifunctional nanoprobing platform capable of label-free extraction of mitochondria from living cells with high spatiotemporal resolution. The nanoprobe integrates two individually addressable nanoelectrodes that perform electrochemical detection of reactive oxygen and nitrogen species, produced by mitochondrial metabolism, followed by dielectrophoretic trapping, manipulation, and extraction of mitochondria. We successfully demonstrated the extraction of mitochondria from living cells, which is validated through fluorescence labeling before and after extraction. Subsequent quantitative polymerase chain reaction further confirmed that the extracted sample contained mitochondria. The fusion of the transplanted mitochondria within the recipient cell's mitochondrial network confirms their activity. This automated, label-free, in situ organelle extraction micromanipulation system offers a powerful tool for understanding disease mechanisms linked to dysfunctional organelles and enables single-cell surgeries for organelle transplantation.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2025-10-22
DOI
https://doi.org/10.1126/sciadv.adx4289
Citations
4
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
3.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Label-free robotic mitochondrial biopsy

Feixiang Bao, Xingguo Liu, Chengzhi Hu, Hongri Gu et al.
4 citations
Science Advances
Neuroscience and Neural Engineering
3.64
article

Label-free robotic mitochondrial biopsy

Feixiang Bao, Xingguo Liu, Chengzhi Hu, Hongri Gu, Weikang Hu, Dong Sun, Yanmei Ma, Muyang Ruan
article en
4 citations

Abstract

Robotic micromanipulation has advanced cellular probing, yet achieving precise, minimally invasive intracellular operations without fluorescent labeling remains challenging. Fluorescent techniques often cause photodamage and cytotoxicity and interfere with downstream analyses. Here, we introduce an automated, multifunctional nanoprobing platform capable of label-free extraction of mitochondria from living cells with high spatiotemporal resolution. The nanoprobe integrates two individually addressable nanoelectrodes that perform electrochemical detection of reactive oxygen and nitrogen species, produced by mitochondrial metabolism, followed by dielectrophoretic trapping, manipulation, and extraction of mitochondria. We successfully demonstrated the extraction of mitochondria from living cells, which is validated through fluorescence labeling before and after extraction. Subsequent quantitative polymerase chain reaction further confirmed that the extracted sample contained mitochondria. The fusion of the transplanted mitochondria within the recipient cell's mitochondrial network confirms their activity. This automated, label-free, in situ organelle extraction micromanipulation system offers a powerful tool for understanding disease mechanisms linked to dysfunctional organelles and enables single-cell surgeries for organelle transplantation.

Science AdvancesVol. 11(43)
City University of Hong Kong (HK), Chinese Academy of Sciences (CN), Hong Kong University of Science and Technology (HK), Guangzhou Institutes of Biomedicine and Health (CN), Southern University of Science and Technology (CN)
Openalex Percentile: Top 6%
Neuroscience and Neural Engineering
3.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.