Superparamagnetic nanoparticles as a powerful systems biology characterization tool in the physiological context

Jatuporn Salaklang; Benedikt Steitz; Andrija Finka; Conlin P. O'Neil; Marc Moniatte; André J. Van Der Vlies; Todd D. Giorgio; Heinrich Hofmann; Jeffrey A. Hubbell; Alke Petri-Fink

doi:10.1002/anie.200800357

Superparamagnetic nanoparticles as a powerful systems biology characterization tool in the physiological context

Jatuporn Salaklang, Benedikt Steitz, Andrija Finka, Conlin P. O'Neil, Marc Moniatte, André J. Van Der Vlies, Todd D. Giorgio, Heinrich Hofmann, Jeffrey A. Hubbell, Alke Petri-Fink

Materials Science and Engineering

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

Abstract

Spying on SPIONs: Superparamagnetic iron oxide nanoparticles (SPIONs) bearing a mitochondrial targeting peptide (MTP), a cyclic RGD peptide for internalization (cRGD), and a fluorophore for tracking can be targeted to mitochondria. After magnetic isolation from the cells, 48 proteins are identified by mass spectrometry to be interacting with the MTP-cRGD-SPIONs in a network that consists of 308 interactions (see picture). (Figure Presented).

Original language	English (US)
Pages (from-to)	7857-7860
Number of pages	4
Journal	Angewandte Chemie - International Edition
Volume	47
Issue number	41
DOIs	https://doi.org/10.1002/anie.200800357
State	Published - Sep 29 2008

All Science Journal Classification (ASJC) codes

Catalysis
General Chemistry

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Salaklang, J., Steitz, B., Finka, A., O'Neil, C. P., Moniatte, M., Van Der Vlies, A. J., Giorgio, T. D., Hofmann, H., Hubbell, J. A., & Petri-Fink, A. (2008). Superparamagnetic nanoparticles as a powerful systems biology characterization tool in the physiological context. Angewandte Chemie - International Edition, 47(41), 7857-7860. https://doi.org/10.1002/anie.200800357

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AU - Moniatte, Marc

AU - Van Der Vlies, André J.

AU - Giorgio, Todd D.

AU - Hofmann, Heinrich

AU - Hubbell, Jeffrey A.

AU - Petri-Fink, Alke

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Superparamagnetic nanoparticles as a powerful systems biology characterization tool in the physiological context

Abstract

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