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Cited by 377

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A cell nanoinjector based on carbon nanotubes

Open access
Chen, Xing, Kis, Andras, Zettl, A., Bertozzi, Carolyn R.·2007·Proceedings of the National Academy of Sciences

Abstract

Technologies for introducing molecules into living cells are vital for probing the physical properties and biochemical interactions that govern the cell's behavior. Here, we report the development of a nanoscale cell injection system (termed the nanoinjector) that uses carbon nanotubes to deliver cargo into cells. A single multiwalled carbon nanotube attached to an atomic force microscope (AFM) tip was functionalized with cargo via a disulfide-based linker. Penetration of cell membranes with this “nanoneedle” was controlled by the AFM. The following reductive cleavage of the disulfide bonds within the cell's interior resulted in the release of cargo inside the cells, after which the nanoneedle was retracted by AFM control. The capability of the nanoinjector was demonstrated by injection of protein-coated quantum dots into live human cells. Single-particle tracking was used to characterize the diffusion dynamics of injected quantum dots in the cytosol. This technique causes no discernible membrane or cell damage, and can deliver a discrete number of molecules to the cell's interior without the requirement of a carrier solvent.

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Metadata

Authors
Chen, X., Kis, A., Zettl, A., & Bertozzi, C. R.
Venue
Proceedings of the National Academy of Sciences
Published
2007-05-15
Volume
104
Issue
20
Pages
8218-8222
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2077914436
Cited by
377
References
1
FWCI
22.61
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A cell nanoinjector based on carbon nanotubes. https://app.cochat.ai/papers/10.1073/pnas.0700567104
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Chen, X., Kis, A., Zettl, A., & Bertozzi, C. R. (2007). A cell nanoinjector based on carbon nanotubes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0700567104

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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