Inulin coated plasmonic gold nanoparticles as a tumor-selective tool for cancer therapy

Polymer coated gold nanospheres are proposed as a tumor selective carrier for the anticancer drug doxorubicin. Thiolated polyethyleneglycol (PEG-SH) and an inulin-amino derivative based copolymer (INU-EDA) were used as stabilizing and coating materials for 40 nm gold nanospheres. The resulting polymer coated gold nanospheres (Au@PEG-INU) showed excellent physicochemical stability and potential stealth like behavior. The system was loaded with doxorubicin (Au@PEG-INU/Doxo) and its cytotoxicity profile was evaluated on human cervical cancer cells (HeLa) and lung cancer cells (A549), as compared to Au@PEG-INU and doxorubicin alone. Cytotoxicity assays showed that the system is able to drastically reduce cell viability upon incubation for 3 days. This result was supported by the ability of Au@PEG-INU/Doxo to be internalized by cancer cells and to release doxorubicin, as assessed by fluorescence microscopy. Finally, a cancer/non cancer cell co-culture model was used to display the advantageous therapeutic effects of the proposed system with respect to doxorubicin alone, thereby demonstrating the ability of Au@PEG-INU/Doxo to preferentially accumulate in tumor cells due to their enhanced metabolism, and to selectively kill target cells

SERSTEM: An app for the statistical analysis of correlative SERS and TEM imaging and evaluation of SERS tags performance

Raman spectroscopy is becoming increasingly popular as an in vitro bioimaging technique, when coupled with plasmonic substrates such as gold nanoparticles (AuNPs). Plasmonic AuNPs not only display excellent biocompatibility but can also induce the surface-enhanced Raman scattering (SERS) effect, which can be exploited for cell labeling, as an interesting alternative to fluorescence-based techniques. SERS bioimaging requires the use of so-called SERS tags or SERS-encoded AuNPs. A remaining difficulty toward the general implementation of this method is the difficulty to correlate the SERS signal (spectral intensity) with the number of SERS tags. Therefore, a general correlation method, suitable for arbitrary AuNP morphologies and Raman-active molecules (Raman reporters or RaRs), should largely improve the quantitative character of SERS as an imaging technique. We propose a protocol, with an associated app (SERSTEM), which enables the user to determine the average SERS intensity per nanoparticle from transmission electron microscopy (TEM) and SERS data. As a proof of concept, we demonstrated the method for Au nanostars and nanorods, carrying four different RaRs, and implemented the SERSTEM app, which is publicly available from an open-source platform

Modeling nanoparticle–alveolar epithelial cell interactions under breathing conditions using captive bubble surfactometry

Many advances have been made in recent years in cell culture models of the epithelial barrier of the lung from simple monolayers to complex 3-D systems employing different cell types. However, the vast majority of these models still present a static air–liquid interface which is unrealistic given the dynamic nature of breathing. We present here a method where epithelial lung cells are integrated into a system, the captive bubble surfactometer, which allows the cyclical compression and expansion of the surfactant film at the air–liquid interface, thus modeling the dynamics of breathing. We found that cellular uptake of deposited gold nanoparticles was significantly increased under the dynamic (breathing) conditions of compression and expansion as compared to static conditions. The method could be very useful for studying nanoparticle–alveolar lung cell interactions under breathing conditions for applications in nanomedicine and toxicology

Modeling Nanoparticle–Alveolar Epithelial Cell Interactions under Breathing Conditions Using Captive Bubble Surfactometry

Many advances have been made in recent years in cell culture models of the epithelial barrier of the lung from simple monolayers to complex 3-D systems employing different cell types. However, the vast majority of these models still present a static air–liquid interface which is unrealistic given the dynamic nature of breathing. We present here a method where epithelial lung cells are integrated into a system, the captive bubble surfactometer, which allows the cyclical compression and expansion of the surfactant film at the air–liquid interface, thus modeling the dynamics of breathing. We found that cellular uptake of deposited gold nanoparticles was significantly increased under the dynamic (breathing) conditions of compression and expansion as compared to static conditions. The method could be very useful for studying nanoparticle–alveolar lung cell interactions under breathing conditions for applications in nanomedicine and toxicology