Quantification of the internalization patterns of superparamagnetic iron oxide nanoparticles with opposite charge
© Schweiger et al.; licensee BioMed Central Ltd. 2012
Received: 2 April 2012
Accepted: 28 May 2012
Published: 10 July 2012
Time-resolved quantitative colocalization analysis is a method based on confocal fluorescence microscopy allowing for a sophisticated characterization of nanomaterials with respect to their intracellular trafficking. This technique was applied to relate the internalization patterns of nanoparticles i.e. superparamagnetic iron oxide nanoparticles with distinct physicochemical characteristics with their uptake mechanism, rate and intracellular fate.
The physicochemical characterization of the nanoparticles showed particles of approximately the same size and shape as well as similar magnetic properties, only differing in charge due to different surface coatings. Incubation of the cells with both nanoparticles resulted in strong differences in the internalization rate and in the intracellular localization depending on the charge. Quantitative and qualitative analysis of nanoparticles-organelle colocalization experiments revealed that positively charged particles were found to enter the cells faster using different endocytotic pathways than their negative counterparts. Nevertheless, both nanoparticles species were finally enriched inside lysosomal structures and their efficiency in agarose phantom relaxometry experiments was very similar.
This quantitative analysis demonstrates that charge is a key factor influencing the nanoparticle-cell interactions, specially their intracellular accumulation. Despite differences in their physicochemical properties and intracellular distribution, the efficiencies of both nanoparticles as MRI agents were not significantly different.
KeywordsSuperparamagnetic iron oxide nanoparticles (SPIONs) Intracellular distribution Charge Coating Size Quantitative correlation analysis Colocalization
The interaction of nanomaterials with cells and tissues is a key factor when considering their translation into clinical applications. Especially an effective accumulation of nanoparticles (NPs) inside certain tissues is beneficial for a great number of applications, such as hyperthermia, contrast enhancement in magnetic resonance imaging, cell tracking or theranostics [1–7]. Apart from colloidal stability, which is essential to ensure reproducibility as well as to influence the amount of cellular loading and toxicity, the surface chemistry/properties of the NPs control their cellular interactions . Predominantly size, shape and surface charge of NPs influence their cellular internalization and distribution and thus their effective performance.
The overall uptake rate of nanoparticulate objects and their respective pathway of internalization can be manipulated by surface charge [9–11]. In general, cationic NPs have been found to display excellent properties for tracking applications as they enter cells with higher effectiveness  due to the interaction with the negatively charged glycocalix . However, a higher degree of toxicity is often associated with these systems [14–17]. Nevertheless, also negatively charged NPs are massively incorporated by cells. In this respect it has to be mentioned that charged NPs strongly interact with serum proteins to form a protein corona [18–21], whose formation also depends on the NP charge. The rate of NP uptake is important, as insufficient cellular accumulation of NPs e.g. magnetic NPs can lead to deficient usage for example as imaging probes .
Thus a precise knowledge of their internalization mechanisms, endosomal sorting and resulting intracellular pathways are crucial aspects governing their fate, efficiency or toxicity. So far most of the techniques employed to study NP-cells interactions are based on qualitative analysis; thus being prone to subjectivity or to errors in the interpretation of results.
Typically intracellular trafficking is studied using fluorescence microscopy. By comparing the fluorescent pattern of labeled and internalized NPs with the distribution of cellular organelles possible intracellular pathways can be derived for the material. Following endocytic uptake, NPs are generally trapped in vesicular compartments. The detection and imaging of typical proteins associated to those enclosed structures allows their identification and allocation in for example endosomes or lysosomes. If such image material is super-imposed with signal gained for example from labeled NPs, structures associated with NP uptake, transport and processing can be identified. To analyze the uptake and enrichment of NPs inside a certain organelle fluorescent labeling of both, the nanomaterial and the organelle is typically performed. The uptake study is based on the correlation of the emission of the labeled nanomaterial with fluorescence signal of the organelle. If both structures are colocalizing within the detection volume the overlay of the corresponding two fluorescence image channels (for example red and green) would result in a new color value (yellow). In a qualitative manner the degree of colocalization can be estimated by looking at the super-imposed image. As a matter of fact, any processing having impact on the image’s histogram is influencing the “amount of yellow” in the overlay and altering the subjective impression of the degree of colocalization. For a sophisticated correlation of the image material of both structures, several approaches to perform a quantitative colocalization analysis exist. In intensity-based methods voxel or pixel intensities in both fluorescence channels are correlated by calculating for example Pearson’s or Manders’ colocalization coefficients [23, 24]. In Li’s approach the correlation between the variations of the intensity-distributions within both channels are analyzed . In object-based approaches the imaged structures are transformed into binary objects and the overlap is quantified . In live-cell imaging also methods for trajectory correlation of those binary objects have been introduced . Nevertheless, as long as single nanoparticle detection and tracking is hard to realize by conventional confocal microscopy the relevance of trajectory correlation is quite low, although the results seem to bear good prospects due to the discrimination of false colocalization caused by low axial resolution.
In order to validate our analysis methodology as well as to correlate differences in the physicochemistry of the NPs to different cellular behavior, the NPs were synthesized according to different protocols to produce NPs with different physicochemical properties. Especially surface chemistry and thus an opposite charge was selected on purpose, to influence the internalization rates of the NPs and thus proof our methodology. Due to the different synthetic protocols used, the colloidal stability and the size distribution of both NPs were also altered. According to their great potential in biomedical applications [6, 7, 27, 28], superparamagnetic iron oxide NPs (SPIONs) were selected as systems to investigate NP internalization patterns; firstly qualitatively via flow cytometry (Fluorescence-Activated Cell Sorting, FACS) and Confocal Laser Scanning Microscopy (CLSM) and then by quantitative correlation analysis. Additionally, possible alterations in the relaxation times in A549 lung carcinoma cells were quantitatively evaluated.
Water-soluble SPIONs were synthesized either via aqueous coprecipitation  or via thermal decomposition of organometallic precursor molecules with subsequent phase transfer to aqueous solution [30–32]. Both methods lead to hydrophilic NPs suitable for biomedical applications.
Physicochemical parameters of SPIONs as used in this work
zeta potential [mV]
saturation magnetization [emu g-1]
16.2 ± 5.4
0.144 ± 0.019
+53.2 ± 11.0
22.1 ± 7.1
0.321 ± 0.025
−38.0 ± 5.6
Several models are reported concerning the internalization of differently charged SPIONs . However, only little efforts have been made so far to directly compare NP systems of equal dimensions and opposite charge with respect to their cellular uptake rate and intracellular fate. Especially a profound quantification of the colocalization of the NPs with different cellular structures is missing. Consequently, our approach consisted in eliminating size and shape as a key factor for NP uptake by keeping the dimensions of the two formulations constant. We hypothesized that, under these circumstances, the invasion into cells was predominantly dependent on the surface properties provided by the polymer coating, i.e. surface potential and the colloidal stability of incubated carriers.
Firstly, the synthesis strategy seems to affect the magnetic properties of the fabricated SPIONs. It is well-known that magnetization of inorganic colloids is determined primarily by their crystal diameter . The results from TEM statistical analysis display a number-weighted and therefore one-dimensional quantity (cf. the TEM data in Additional file 1: Figure SI-1.c). As the magnetic moment of nanoparticles depends on their volume, the relative contribution of particles with larger size to the overall magnetization is higher. A mathematical approximation of a volume-weighted mean for both samples gave values of 11.5 nm each. Since mean diameters are virtually equal, we speculate that microstructural features of the magnetic cores are responsible for the different saturation magnetizations. On the one hand, the crystalline domains in the γ-Fe2O3-PMA NPs might be smaller than those in the γ-Fe2O3-PEI NPs. Another explanation for the differing Msat values might be the existence of a magnetically dead layer on the maghemite surface which does not contribute to the collective magnetic moment of γ-Fe2O3 NPs. The general reduction in magnetization with respect to bulk maghemite can be attributed to several mechanisms such as spin canting or spin-glass-like behavior of the surface spins, both of them being effects which become more and more important with decreasing particle size [38, 39]. Polymer shielding of the naked Fe2O3 cores induced further lowering of gram-standardized saturation magnetizations, which becomes logical as the organic material does not add to the magnetic properties of the respective particle systems. As already pointed out, direct mass-correlated comparison of both types of NPs is complicated due to the fact that they have different surface coatings and thus mass contributions of organic material. Moreover, organic ligands used to stabilize SPIONs might lead to quenching of surface magnetic moments . The sigmoidal curves displayed in the SI ( Additional file 1: §2) are indicative for superparamagnetism of both γ-Fe2O3-PEI and γ-Fe2O3-PMA NPs. This feature is not only beneficial due to the availability of giant magnetic moments, but also due to the reduction in agglomeration tendency which is attributable to complete paramagnet-like loss of magnetization at zero external fields.
Secondly, differences in the charge of the NPs clearly affected their intracellular internalization route, rate and distribution. This statement was achieved by combination of the results obtained FACS and with CLSM followed by a time resolved quantitative analysis of the internalization patterns of both NP types. The conclusions drawn by eye-based interpretation of superimposed, fluorescent images presenting the distribution of NPs and certain cellular structures are strongly biased by any acquisition parameters and image processing. For a first impression or a proof of principle this method may be sufficient but the generalization of any observation has to be not taken literally. The averaging over colocalization data of several individual experiments and the imaging of various cells for each data point is needed. For quantification, the described procedure of time-resolved colocalization analysis is a well suited tool that certainly helps to retrace NP internalization in a reproducible manner.
The saturable, steady, but non-linear uptake pattern of positively charged γ-Fe2O3-PEI NPs strongly suggests adsorptive endocytosis as the main mechanism of cell uptake. This is supported by the fact that electrostatic interaction between the positively charged NPs and the negatively charged glycocalix certainly favors fast attachment to the cell membrane and subsequent ingestion of cationic species. It also goes along with the fact that the colloidal stability of the γ-Fe2O3-PEI NPs is limited. Furthermore, it has to be noted that positively charged NPs have been reported to interact differently with serum proteins at physiological pH than negatively charged NPs . Different protein coronas are likely to influence cellular uptake. Finally, from the CLSM images of the cells incubated with positive γ-Fe2O3-PEI NPs over time and over different concentrations (cf. Additional file 1: Figure SI-6) it can be observed that accumulation of the positively charged NPs in the extracellular side of the cell membrane plays a key role, not only on the adsorption to the cell membrane (as commented before) but also on the fast rate of internalization. It appears that uptake of the positively charged NPs occurred only after membrane accumulation of the NPs, thus directly related to a specific NP concentration. These results suggested that there might be a concentration threshold responsible for the fast internalization as it happens for zwitterionic NPs . Above the threshold NPs are rapidly internalized, however below this threshold NPs should be less efficiently internalized. Thus special attention should be paid to this insight. On the other hand, negatively charged γ-Fe2O3-PMA NPs seem to follow common endocytic internalization processes and even receptor-mediated endocytosis cannot be excluded. The uptake was steady and constant over time and more important, it was independent from membrane accumulation, thus excluding unnecessary thresholds. Furthermore, the negatively charged NPs strongly interact with serum proteins leading to the formation of a protein corona around the surface of the NPs [19–21]. Many of these proteins have specific ways of cellular entry. For example transferrin, which has been demonstrated to adsorb to the surface of negatively charged PMA-coated NPs  is well known to internalize via receptor-mediated endocytosis . In this way, the uptake of these NPs may be controlled by the protein corona.
Sufficient and fast loading of certain cell types with SPIONs is for example desired for tracking purposes via magnetic resonance imaging . The reason for this is the concentration-dependent enhancement of transverse proton relaxation in the vicinity of areas containing magnetic iron oxide NPs, thus leading to quick fading of MR signals and gain of contrast in T2-weighted images . Based on the quantification of the intracellular iron concentration via ICP-OES (cf. Additional file 1: Figure SI-5), γ-Fe2O3-PEI NPs accumulate to a higher degree inside the cells compared to the negative γ-Fe2O3-PMA NPs. Thus γ-Fe2O3-PEI NPs should perform better than their anionic counterpart when being used for cell tracking tasks. However, it has to be pointed out that despite an optimization of the cell culture media and NP dose (i.e. reduced serum quantity as well as adequate NP dose) to increase the stability of the γ-Fe2O3-PEI-FITC NPs, agglomeration was still observed for this formulation and the agglomerates were strongly attached to the cell membrane (cf. Additional file 1: Figure SI-6.a.ii and SI-6.a.iii). Trypsinization of the cells did not remove the agglomerates of γ-Fe2O3-PEI-FITC NPs attached to the cell membrane and thus signal could also result from γ-Fe2O3-PEI-FITC NPs only adherent to the outer cell membrane.
Finally, as an alternative way for probing the efficiency of both types of NPs as contrast agents for MRI, agarose phantoms containing NP-labeled cancer cells were subjected to MR measurement sequences. Phantom matrices act as versatile human tissue equivalents, as alteration of their basic composition allows for the imitation of specific intracorporal regions and appendant relaxation properties . Most effective signal darkening in T2-weighted MRI maps, denoted as high absolute relaxation rate values R2*, was observed for freely dispersed NPs and, to a lower extent, cell dispersions carrying large amounts of γ-Fe2O3-PEI NPs. As a more reliant measure of proton relaxation yield/efficiency, transversal relaxivity r2* values were calculated by normalization of the results to the iron concentration. The differences in relaxivity r2* between freely dispersed NPs and cell-confined NPs were relatively small and were supposed to result from less efficient proton spin interaction of magnetic NPs upon entrapment inside cells or cell organelles. Thus, besides concentration of magnetic materials as the main factor for signal improvement, intracellular confinement plays a second, yet subordinate role in this context and has an impact on the detected proton relaxation times . Coming back to the magnetization properties of the tested NP formulations, we predicted higher molar relaxivities for the system γ-Fe2O3-PEI due to enhanced magnetic interactions with surrounding proton spins. Surprisingly, the efficiencies of both tested NP formulations were found to be in the same range.
The physicochemical properties of the generated NPs (mainly charge and colloidal stability) were found to be a key factor governing the internalization into cells. The internalization patterns (i.e. uptake rates and intracellular localization) of SPIONs synthesized either directly in water or in organic solutions and with opposite charged, were completely different. The use of qualitative techniques like FACS and CLSM give interesting initial information in this regard however, a quantitative analysis is crucial to make statistically relevant conclusions. By real time quantitative correlation analysis the kinetic of NP internalization could be elucidated. Negatively charged SPIONs were found firstly in endosomes and lately in lysosomes whereas positively charged SPIONs were found exclusively inside lysosomes. Interestingly, not all the involved vesicles were found to be colocalizing with the NPs all over the time. Thus, elucidating dynamics in NPs trafficking inside the cells depending on their charge.
For a detailed description of the experimental procedure as well as for other additional experiments, the reader is referred to the supporting information ( Additional file 1).
γ-Fe2O3 NPs were prepared following standard protocols since the acquirement of exact information about the crystalline structures of these kind of NPs is very controversial . γ-Fe2O3 NPs were synthesized either via aqueous coprecipitation, according to the Massart protocol  or via thermal decomposition of organometallic precursor molecules following a published protocol by Hyeon and co-workers .
Hydrodynamic diameters and ζ-potentials of hydrophilic NPs after polymer functionalization were assessed by dynamic light scattering (DLS). For magnetization studies, the lyophilized NP materials were placed into a Magnetic Property Measurement System MPMS® equipped with a 5 T magnet (Quantum Design, San Diego, CA) using superconducting quantum interference device (SQUID) technology.
Cell culture and uptake studies
The human lung adenocarcinoma cell line A549 was maintained in Dulbecco’s Modified Eagle Medium (DMEM) supplemented with 10 % serum. The uptake kinetics was analyzed with (1) flow cytometry and (2) CLSM. For (1), some cells were incubated with either γ-Fe2O3-PEI-FITC or with γ-Fe2O3-PMA-Dy636 NPs at fixed iron concentrations (1 μg/ml). The concentration of iron [Fe] was measured by ICP-OES (inductively coupled plasma - optical emission spectroscopy) (see Additional file 1: §1.g). Following determined incubation times (0 min, 15 min, 60 min, 4 h, 24 h), cells were analyzed with respect to their fluorescent intensity via FACS, using a FACSCanto II (BD Biosciences, San Jose, CA). For (2), the cells were incubated with each NP system as well as with both NP systems concomitantly ( Additional file 1: Figure S6.b). Each NP species was diluted to a final iron concentration of 1 μg/ml and again the cells were incubated for different periods of time (30 min, 1 h, 2 h, 4 h, 8 h and 24 h). Cells were prepared for labeling as described in the supporting information. The cell membrane was stained with fluorescent wheat germ agglutinin and actin was colored applying fluorescent phalloidin (results are presented in the SI, Additional file 1: Figure SI-6). To visualize the metabolic pathways of the NPs, immunostainings of lysosomal structures and early endosomes were performed. Lysosomes were stained using monoclonal mouse anti-human LAMP1/CD107a antibodies (Developmental Studies Hybridoma Bank), while early endosomes were labeled with polyclonal rabbit anti-human EEA1 immunoglobulin (Cell Signaling). To excite and collect all fluorescence markers i.e. both types of NPs, cell membrane, actin cytoskeleton, lysosome and endosome simultaneously, the secondary antibodies used for the cellular structures had to be carefully chosen to minimize crosstalk, especially between the NPs and the cell membrane. Therefore the dyes conjugated to the antibodies were selected to absorb in the UV region of the spectra. In detail donkey anti-mouse DyLight405-ABs (Jackson ImmunoResearch) were used at 1 μg/ml to detect the LAMP1 specific primary antibodies while goat anti-rabbit AlexaFlour430 conjugated immunoglobulin (Invitrogen) was used as a secondary antibody for early endosomes at 30 μg/ml (both diluted in PBS containing 1 % BSA). For examination a LSM 510 Meta (Zeiss) microscope was used equipped with lasers emitting at 405, 488, 543 and 633 nm.
Quantitative analysis of colocalization studies
The intracellular distributions of both nanoparticle species were correlated with the locations of early endosomes and lysosomes over time to study the intracellular trafficking of both systems (see Additional file 1: SI, §7). Therefore, A549 adenocarcinoma cells were incubated with either γ-Fe2O3-PEI-FITC or with γ-Fe2O3-PMA-Dy636 NPs at fixed iron concentrations (1 μg/ml) for different periods of time followed by an immunostaining of either early endosomes or lysosomes, performed as described above. For each of the combinations given in Additional file 1: SI, §7, Table 1 at least 20 cells were imaged using a highly corrected CLSM. The degree of colocalization of fluorescence signal originating from nanoparticles and labeled endosomes (EEA1) or lysosomes (LAMP1) was quantified by calculating Manders’ distinct colocalization coefficients M1 and M2 for the confocal image material: and
Ri and Gi are the pixel intensities of pixel i in channel R (nanoparticles) and G (endosomes or lysosomes). “coloc” are pixels in which colocalization was observed. In our calculations M1 represents the degree of colocalization of fluorescence signal from one nanoparticle species with signal coming either from stained endosomes or lysosomes while M2 covers the situation with regard to the organelles. An image providing a high value of M1 but a low value for M2 can be interpreted as follows: Most of the detected particles are present in the particular cellular compartments but the largest fraction of these organelles is not including nanoparticles anyhow.
Agarose phantom relaxometry
A549 cells were plated at a density of 100,000 cells per well and were incubated with suspensions of SPIONs of different types γ-Fe2O3-PEI and γ-Fe2O3-PMA) and concentrations (1, 10, 30 and 50 μg/ml) for 24 hours. After PBS washing and trypsinization, cell numbers were counted using a Neubauer chamber. Quantification of cell-internalized iron was realized by ICP-OES after cell lysis in concentrated nitric acid (600 μl) for 4 hours. Phantoms for MR relaxometry were produced by dispersing 105 SPION-doped A549 cells in agarose (1 % w/v). Magnetic resonance (MR) imaging studies concerning the T2 and T2* relaxation times of the respective phantoms were carried out on a 7 T Bruker ClinScan 70/30 USR (Bruker BioSpin, Rheinstetten, Germany). For measurements of transverse T2 relaxation times, spin-echo multicontrast sequences were run at TR values of 2000 ms, varying spin echo times TE (10–120 ms with an increment of 10 ms), field of view 75x75 mm, matrix 128x128 and slice thickness 0.6 mm. Data quantification was achieved by evaluating such created DICOM images. Relaxation times T2 could be derived by analyzing regions of interest (ROI) within T2 maps generated by the overlay of successive spin-echo images, using a monoexponential fitting of the signal intensity (I) decay curve: I(t) = I0exp(−t/T2), where I0 is the signal magnitude at equilibrium and t the particular echo time. Effective transverse relaxation times (T2*) were calculated from T2*-weighted images taken with the following settings: gradient-echo multicontrast with TR = 350 ms, multiple spin echo times TE (3–32 ms), field of view 89x89 mm, matrix 128x128, slice thickness 0.5 mm. T2* values were obtained correspondingly by fitting the MRI signal intensities of the acquired maps versus echo times TE.
Christoph Schweiger and Raimo Hartmann contributed equally to the realization of this work.
Dr. C. Schweiger studied Pharmacy and obtained his PhD under the supervision of Prof. Dr. T. H. Kissel in the Department of Pharmaceutical technology in the Philipps University of Marburg.
R. Hartmann studied Physics at the University of Marburg and is currently doing his PhD under the supervision of Dr. P. Rivera Gil and Prof. Dr. W. J. Parak.
Dr. F. Zhang received his bachelor degree in 2000 from Biology School of Inner Mongolia University and his Ph. D degree in 2006 from Shanghai Institute of Applied Physics, Chinese Academy of Sciences. After a postdoctoral stay in the group of Prof. Dr. W. J. Parak in the University of Marburg, Dr Zhang moved as a senior research fellow to Washington University (Bioengineering Dep.). He is currently employed as a professor and a Ph.D advisor in Biology School in Inner Mongolia Agricultural University.
Prof. Dr. W. J. Parak obtained his PhD in biophysics at the Ludwig Maximilians Universität München, Germany in 1999 in the group of Prof. Dr. Hermann Gaub. After a postdoctoral stay at the University of California, Berkeley, CA, USA in the group of Prof. Dr. Paul Alivisatos he returned 2002 to Munich as Assistant Professor. Since 2007 he is Full Professor at the Physics Department of the Philipps Universität Marburg, Germany.
Prof. Dr. T. H. Kissel is currently retired. Until August 2012, he was Professor of Pharmaceutics & Biopharmacy and Department Head at Philipps-Universität Marburg, Germany, where he has been since 1991. He received his B.S. (Pharmacy) from Freiburg University (1971), his M. S. (Chemistry, 1974) and his Ph.D. (Medicinal Chemistry, 1976) from Marburg University.
Dr. P. Rivera Gil studied Pharmacy in Spain and obtained her PhD in Pharmacology at the Free University Berlin. She is currently a senior researcher in the group of Prof. Dr. W. J. Parak.
The authors thank Eva Mohr, Department of Pharmaceutics and Biopharmacy, Marburg, Germany for assistance in the cell culture lab and Clemens Pietzonka for helpful discussions concerning magnetic phenomena. The authors are grateful to Dr. Azhar Z. Abassi for the synthesis and TEM images of the γ-Fe2O3-PMA NPs. This work was supported by the German Research Foundation (DFG, SPP1313, grant PA794/4-2 to WJP and PRG) and the European Commission (grant Nandiatream to WJP).
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