| Literature DB >> 27273980 |
Andrew R Collins1, Balasubramanyam Annangi2, Laura Rubio3, Ricard Marcos3,2, Marco Dorn4, Carolin Merker4, Irina Estrela-Lopis4, Mihaela Roxana Cimpan5, Mohamed Ibrahim5, Emil Cimpan6, Melanie Ostermann5, Alexander Sauter5, Naouale El Yamani1,7, Sergey Shaposhnikov1, Sylvie Chevillard8, Vincent Paget8, Romain Grall8, Jozo Delic8, Felipe Goñi- de-Cerio9, Blanca Suarez-Merino9, Valérie Fessard10, Kevin N Hogeveen10, Lise Maria Fjellsbø7, Elise Runden Pran7, Tana Brzicova11, Jan Topinka11, Maria João Silva12, P E Leite13, A R Ribeiro13, J M Granjeiro13, Roland Grafström14, Adriele Prina-Mello15, Maria Dusinska7.
Abstract
With the growing numbers of nanomaterials (NMs), there is a great demand for rapid and reliable ways of testing NM safety-preferably using in vitro approaches, to avoid the ethical dilemmas associated with animal research. Data are needed for developing intelligent testing strategies for risk assessment of NMs, based on grouping and read-across approaches. The adoption of high throughput screening (HTS) and high content analysis (HCA) for NM toxicity testing allows the testing of numerous materials at different concentrations and on different types of cells, reduces the effect of inter-experimental variation, and makes substantial savings in time and cost. HTS/HCA approaches facilitate the classification of key biological indicators of NM-cell interactions. Validation of in vitro HTS tests is required, taking account of relevance to in vivo results. HTS/HCA approaches are needed to assess dose- and time-dependent toxicity, allowing prediction of in vivo adverse effects. Several HTS/HCA methods are being validated and applied for NM testing in the FP7 project NANoREG, including Label-free cellular screening of NM uptake, HCA, High throughput flow cytometry, Impedance-based monitoring, Multiplex analysis of secreted products, and genotoxicity methods-namely High throughput comet assay, High throughput in vitro micronucleus assay, and γH2AX assay. There are several technical challenges with HTS/HCA for NM testing, as toxicity screening needs to be coupled with characterization of NMs in exposure medium prior to the test; possible interference of NMs with HTS/HCA techniques is another concern. Advantages and challenges of HTS/HCA approaches in NM safety are discussed. WIREs Nanomed Nanobiotechnol 2017, 9:e1413. doi: 10.1002/wnan.1413 For further resources related to this article, please visit the WIREs website.Entities:
Mesh:
Year: 2016 PMID: 27273980 PMCID: PMC5215403 DOI: 10.1002/wnan.1413
Source DB: PubMed Journal: Wiley Interdiscip Rev Nanomed Nanobiotechnol ISSN: 1939-0041
Advantages and Limitations of High Throughput Screening Methods to Study Toxicity of Nanomaterials
| Technique | Advantages | Limitations |
|---|---|---|
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| Flow cytometry |
Fast, cost‐effective and validated assay. |
Requires fluorescent labels which may interfere with surface properties of NMs. |
| HTS flow cytometry |
Side scatter signal can detect NMs. | |
| HTS flow cytometry for studying specific cellular uptake | Evaluates specific cellular uptake | If uptake is measured using side scatter, increased cellular density may also be due to apoptosis, so additional methods must be used for validation. |
| Confocal laser scanning spectroscopy |
Cost‐effective and validated method, with multiplexing capabilities, Z‐stacks option and combined imaging options. | Assay is low throughput unless automated. |
| AES | Quantifies specific chemical elements of NMs in cultured cells and tissues with ppb accuracy. |
Expensive. |
| ICP‐MS |
High accuracy and low limit of detection (ppb). |
Only applicable to inorganic NMs. |
| Single particle ICP‐MS | Records pulses related to single NM and distinguishes between dissolved and particulate forms of NMs | Same as for ICP‐MS. |
| IBM techniques (μPIXE and/or μRBS) |
Powerful tools for spatially resolved elemental imaging. | In most cases, difficult to distinguish between dissolved and particulate forms of NMs. |
| EMPA | Quantifies and visualizes single elements in biological specimens. | Low signal/noise ratio and poor penetration of biological specimens compared to proton beam. |
| MRI, PET and SPECT | Clinical imaging applications, and detection of NPs in whole organism. |
Only applicable with specifically designed and validated detection probes. |
| TEM, ToF‐SIMS | Simultaneous visualization of NMs and their biological environment at sub‐cellular level. | TEM and ToF‐SIMS methods are relatively costly and time‐consuming, and require heavy equipment. |
| CRM |
Noninvasive fast screening 3D method to visualize and quantify NMs at sub‐cellular level as well as to study adverse effects of NMs such as apoptosis/necrosis, ROS, Cyt C redox status, DNA fragmentation based on spectroscopic marker of individual cells | CRM is not able to detect dissolved NMs. |
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| Flow cytometry |
Fast, cost‐effective and validated assay with multiplexing capabilities, | |
| HTS flow cytometry for studying cell death | Can investigate several parameters in one sample. | Further investigation needed to ensure there is no interference with NMs. |
| HTS flow cytometry for ROS |
Detects several early intracellular indicators at much low NM concentrations. | Further investigation needed to ensure there is no interference with NMs. |
| Multiplex analysis of secreted products |
Allows quantification of up to 500 analytes in same sample at same time. | Assay costs are moderately high. |
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| Impedance‐based spectroscopy/Impedance‐based HTS | Enhanced sensitivity compared to traditional assays and label free (no interference with spectrophotometric readings). | Relatively high cost for plates with electrodes and for microfluidic impedance‐based chips. |
| xCELLigence®, CellKey and ECIS systems |
Not labor‐intensive, label‐free, noninvasive, biophysical assay, detecting dynamic cell responses. |
Observes cellular responses to effectors without giving any indication of underlying mechanisms. |
|
IFC, | Label‐free. Measures single cells in suspension, giving information about size and number of cells, membrane capacitance and cytoplasmic conductivity, with capacity to differentiate between viable, apoptotic and necrotic cells. |
Endpoint assay; does not identify underlying mechanisms. |
|
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|
HCA and |
Fast, reliable, real time, 384 wells. | Assay costs are moderately high compared to standard kit even allowing for multiparametric screening. |
| High‐throughput omics |
96–1536 wells. Label‐free. Multiplexing of 50–1500 parallel gene expression measurements. |
Assay costs are moderately expensive, but lower than traditional microarray or RNA‐seq analyses. |
|
| ||
| HTS Comet Assay |
Well‐known and simple assay allowing testing of several NMs simultaneously. |
Semi‐automatic scoring is time‐consuming. |
| ‘CometChip’ | Uses microarray on an agarose‐coated plate. | Long‐term sample storage needs to be improved. |
| HCS approach to IVMN | Efficient method with high sensitivity and specificity. |
Requires multiple assays as developed within FP7 (QualityNANO). |
| γH2AX assay—foci | Several orders of magnitude more sensitive than method measuring overall protein level. Allows distinction between pan‐nuclear staining and focus formation. | Automated scoring still needs improvements. Validation needed against other methods. |
AES, Atomic Emission Spectroscopy; ICP‐MS, Inductively Coupled Plasma Mass Spectrometry; IBM (μPIXE and/or μRBS), Ion Beam Microscopy; HTS, High Throughput Screening; HCA, High Content Analysis; CLSM, Confocal Laser Scanning Microscopy; EPI, EMPA‐Electron microprobe analysis; MRI, magnetic resonance imaging; PET, positron emission tomography; SPECT, single‐photon computed emission tomography; TEM, Transmission electron Microscopy; ToF‐SIMS, time‐of‐flight secondary ion mass spectrometry; IVMN, in vitro micronucleus; H2AX, phosphorylated histone H2AX; γH2AX, Foci of phospho‐H2AX.
Figure 1(a) Experimental workflow and (b) experimental design for effective high‐throughput screening
Figure 2Micro‐proton‐induced X‐ray emission (μPIXE) elemental mapping of A549 cells exposed to different metal‐oxide NMs at a concentration of 30 µg/mL for 48 h. Top and bottom images demonstrate S (Sulfur) and NM related element distributions, respectively. The color code is as follows: yellow is the maximum, black represents the minimum. The size of all images is 50 × 50 µm. (Reprinted with permission from Ref 22. Copyright 2014 Wiley)
Figure 3Flow cytometric detection of reactive oxygen species produced in 3T3 cells after 24 h CeO2 NP exposure. FL1 represents fluorescence from oxidation of chloromethyldichlorodihydrofluorescein diacetate (CM‐H2DCFDA). Blue area, control group without CeO2 NP exposure; Red area, 0.1 mg/mL CeO2 NP exposure.
Figure 4Forward scatter (FS)/side scatter (SS) plots to determine NP uptake in 3T3 cell line after 24 h CeO2 NP exposure. Blue box, cells with no NP incorporation; Red box, uptake of NPs by 3T3 cells. (a) Control group with no CeO2 NPs. (b) CeO2 NP exposure at 0.01 mg/mL. (c) CeO2 NP exposure at 0.1 mg/mL.
Figure 5Impedance‐based measurements of A549 cells exposed to NM‐100 titanium dioxide particles (110 nm diameter, anatase): Representative data collected with the xCELLigence instrument (ACEA Biosciences, USA) (See Figure 8 for illustration). The figure shows the plot of the cell index (CI) which reflects real‐time cellular proliferation. Exposure of cells started at 24 h. The conditions are color coded from green to red in concentrations 0, 2, 10, 20, 50, and 100 µg/mL. Medium only (black) or with 100 µg/mL NM‐100 (blue) are included for reference.
Figure 6Impedance‐based measurements: cell index (CI) real‐time monitoring and viability of cells exposed to WC‐Co NPs. Index real‐time monitoring and viability of A549 (a), Caki‐1 (b), and Hep3B (c) cells exposed to tungsten carbide‐cobalt (WC‐Co) NPs. Impedance measurements (one representative experiment among three independent experiments) were carried out for 72 h and cell indices were normalized at time 0 to ensure no inter‐well variability prior to the addition of NPs. Control cells were not exposed to WC‐Co NPs. Positive control cells were exposed for 72 h to 0.005% Triton in the case of Caki‐1 and Hep3B cells and to 0.01% Triton for A549 cells. The histograms correspond to CI values at three endpoints (24, 48, and 72 h) for control cells, to a positive control (Triton), and to cells exposed to 1, 5, 25, 50, 75, 100, and 150 µg/mL of WC‐Co NPs. Statistical analysis was performed for each exposure condition compared to nonexposed cells (Student's t‐test, *p < 0.01; **p < 0.001; ***p < 0.0001).
Figure 8Examples of high throughput equipment. (a) Apparatus for performing comet assay on 12 minigels on one slide. Right: Component parts of 12‐gel chamber unit (Severn Biotech, Kidderminster, UK), including metal base with marks for positioning gels on slide, silicone rubber gasket, plastic top‐plate with wells, and silicone rubber seal. Left: chamber unit assembled. (b) The xCELLigence® instruments (ACEA Biosciences Inc, San Diego, CA, USA) employ impedance‐based label‐free real‐time monitoring of cells. Cell number, proliferation, viability, morphology, and adhesion are quantified. Electronic microtiter plates: 16‐well (left), 96‐well (middle), and 384‐well (not shown), can be used for high throughput nanotoxicity screening. The instrument is placed in a standard CO2 incubator and is cable‐connected with analysis and control units outside the incubator (right). The data and the performance of the instrument are displayed real‐time (right). (c) The Ampha™ Z30 impedance flow cytometer (left) (Amphasys AG, Lucerne, Switzerland) uses microfluidic chips with microelectrodes (right) to measure changes in the electrical resistance of the fluid, in which cells are suspended, when cells pass through the applied AC electric field. Cell viability and mode of cell death (apoptosis vs. necrosis) can be detected and quantified. (d) GE Healthcare Cytell Cell Imaging System captures cellular and sub‐cellular images in a benchtop unit equipped with on‐board data analysis and visualization tools. It streamlines and simplifies routine assays, such as cell cycle and cell viability assays, to save time and help research progress more rapidly.
Figure 7Impedance‐based measurements of U937 monoblastoid cells exposed to NM 300 K silver particles (15 nm, spherical): Representative data collected with the Ampha Z30 microchip‐based flow cytometer (Amphasys AG, Switzerland) (See Figure 8 for illustration). The figure shows the dotplots of (a) necrotic cells (heated at 70°C), (b) unexposed cells, and (c) cells exposed for 24 h to 100 µg/mL NM 300 k.
Figure 9Tungsten carbide‐cobalt (WC‐Co) NP genotoxicity determined by measuring foci of γ‐H2Ax (phosphorylated H2Ax histones), which are directly proportional to the number of DNA double‐strand breaks. Counts of γ‐H2Ax foci were performed on at least 200 cells per condition and the results are depicted as box plot distribution values [minimum (min), maximum (max), median, 25th and 75th percentiles] of the number of foci obtained for each tested condition. A Wilcoxon rank test was performed for statistical comparisons (i.e., vs. control cells not exposed to NPs; *p < 0.01). For both cell lines Caki‐1 and Hep3B, WC‐Co NPs were found to be genotoxic in a dose‐dependent manner (b). For γ‐H2Ax positive control, Caki‐1 cells were exposed to γ irradiation (a).
Figure 10Savings in time and cost with HTS comet assay.