The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Magnetic nanoparticles for the manipulation of proteins and cells
Abstract
In the rapidly developing areas of nanobiotechnology, magnetic nanoparticles (MNPs) are one type of the most well-established nanomaterials because of their biocompatibility and the potential applications as alternative contrast enhancing agents for magnetic resonance imaging (MRI). While the development of MNPs as alternative contrast agents for MRI application has moved quickly to testing in animal models and clinical trials, other applications of biofunctional MNPs have been explored extensively at the stage of qualitative or conceptual demonstration. In this critical review, we summarize the development of two straightforward applications of biofunctional MNPs--manipulating proteins and manipulating cells--in the last five years or so and hope to provide a relatively comprehensive assessment that may help the future developments. Specifically, we start with the examination of the strategy for the surface functionalization of MNPs because the applications of MNPs essentially depend on the molecular interactions between the functional molecules on the MNPs and the intended biological targets. Then, we discuss the use of MNPs for manipulating proteins since protein interactions are critical for biological functions. Afterwards, we evaluate the development of the use of MNPs to manipulate cells because the response of MNPs to a magnetic field offers a unique way to modulate cellular behavior in a non-contact or "remote" mode (i.e. the magnet exerts force on the cells without direct contact). Finally, we provide a perspective on the future directions and challenges in the development of MNPs for these two applications. By reviewing the examples of the design and applications of biofunctional MNPs, we hope that this article will provide a reference point for the future development of MNPs that address the present challenges and lead to new opportunities in nanomedicine and nanobiotechnology (137 references).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Laurent, S., Forge, D., Port, M., Roch, A., Robic, C., Vander Elst, L., & Muller, R. N. (2008) · Chemical Reviews · doi:10.1021/cr068445e · Cited by 6,852
Monodisperse FePt Nanoparticles and Ferromagnetic FePt Nanocrystal Superlattices
Sun, S., Murray, C. B., Weller, D., Folks, L., & Moser, A. (2000) · Science · doi:10.1126/science.287.5460.1989 · Cited by 6,137
Amendola, V., Meneghetti, M., Granozzi, G., Agnoli, S., Polizzi, S., Riello, P., Boscaini, A., Anselmi, C., Fracasso, G., Colombatti, M., et al. (2011) · Journal of Materials Chemistry · doi:10.1039/c0jm03863f · Cited by 99
Cited by
Three-dimensional manipulation of single cells using surface acoustic waves
Guo, F., Mao, Z., Chen, Y., Xie, Z., Lata, J. P., Li, P., Ren, L., Liu, J., Yang, J., Dao, M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1524813113 · Cited by 594
Ling, D., Park, W., Park, S.-J., Lu, Y., Kim, K. S., Hackett, M. J., Kim, B. H., Yim, H., Jeon, Y. S., Na, K., et al. (2014) · Journal of the American Chemical Society · doi:10.1021/ja4108287 · Cited by 517
Chemical Synthesis and Assembly of Uniformly Sized Iron Oxide Nanoparticles for Medical Applications
Ling, D., Lee, N., & Hyeon, T. (2015) · Accounts of Chemical Research · doi:10.1021/acs.accounts.5b00038 · Cited by 513
Development of a Sperm‐Flagella Driven Micro‐Bio‐Robot
Magdanz, V., Sanchez, S., & Schmidt, O. G. (2013) · Advanced Materials · doi:10.1002/adma.201302544 · Cited by 444
Controlling cell–cell interactions using surface acoustic waves
Guo, F., Li, P., French, J. B., Mao, Z., Zhao, H., Li, S., Nama, N., Fick, J. R., Benkovic, S. J., & Huang, T. J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422068112 · Cited by 406
Metadata
- Authors
- Pan, Y., Du, X., Zhao, F., & Xu, B.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 41
- Issue
- 7
- Pages
- 2912
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W1989974576
- Cited by
- 376
- References
- 3
- FWCI
- 4.32
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Magnetic nanoparticles for the manipulation of proteins and cells. https://app.cochat.ai/papers/10.1039/c2cs15315g
- The paper
- Pan, Y., Du, X., Zhao, F., & Xu, B. (2012). Magnetic nanoparticles for the manipulation of proteins and cells. Chemical Society Reviews. https://doi.org/10.1039/c2cs15315g
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.