Here, we present a simple, potent, and versatile methodology to investigate neuronal survival upon cytotoxic stress in primary cortical neurons with cellular resolution in real time or in fixed material.
Neuronal loss is at the core of many neuropathologies, including stroke, Alzheimer’s disease, and Parkinson’s disease. Different methods were developed to study the process of neuronal survival upon cytotoxic stress. Most methods are based on biochemical approaches that do not allow single-cell resolution or involve complex and costly methodologies. Presented here is a versatile, inexpensive, and effective experimental paradigm to study neuronal survival. This method takes advantage of sparse fluorescent labeling of the neurons followed by live imaging and automated quantification. To this aim, the neurons are electroporated to express fluorescent markers and co-cultured with non-electroporated neurons to easily regulate cell density and increase survival.
Sparse labeling by electroporation allows a simple and robust automated quantification. In addition, fluorescent labeling can be combined with the co-expression of a gene of interest to study specific molecular pathways. Here, we present a model of stroke as a neurotoxic model, namely, the oxygen-glucose deprivation (OGD) assay, which was performed in an affordable and robust homemade hypoxic chamber. Finally, two different workflows are described using IN Cell Analyzer 2200 or the open-source ImageJ for image analysis for semi-automatic data processing. This workflow can be easily adapted to different experimental models of toxicity and scaled up for high-throughput screening. In conclusion, the described protocol provides an approachable, affordable, and effective in vitro model of neurotoxicity, which can be suitable for testing the roles of specific genes and pathways in live imaging and for high-throughput drug screening.
The study of neuronal disorders requires experimental models that are amenable to genetic, molecular, and cellular analyses. Primary cortical neurons are a very potent model for studying neuronal survival and toxicity1,2,3,4. Under the appropriate conditions, primary neurons will progressively develop synaptic contacts and present hallmarks of mature neurons. Therefore, this model is more reliable than immortalized cell lines in modeling the physiology of the neurons and more amenable to manipulations than animal models. However, in comparison to cell lines, primary cortical neurons are difficult to transfect and relatively fragile. Moreover, the intricate morphology of cortical neurons may complicate the imaging and analysis in high-density cultures. Conversely, low-density primary neuronal cultures are easier to analyze but tend to be more fragile.
Taking all of this into account, this paper presents an affordable, versatile, and scalable in vitro workflow to model and investigate neuronal survival (Figure 1). Key points of this protocol are i) the method of in vitro electroporation of the neurons with a fluorescent marker to allow sparse labeling and imaging of live cells; ii) its versatility in different models of cytotoxicity; and iii) the semi-automated or automated analysis.
The electroporation system (see the Table of Materials) provides an open and inexpensive procedure that does not involve kits and specific solutions4,5,6. Moreover, this method can be easily adapted to obtain an optimal transformation efficiency and density of transfected neurons, mixing electroporated with non-electroporated cells. The co-culture with naïve (non-electroporated) neurons significantly improves the viability of the electroporated cells compared to low-density cultures. Moreover, it enables sparse labeling with an adjustable density of the electroporated neurons, maintaining a consistent level of gene expression. It is important to aim for 3-5% of electroporated neurons in survival assays.
Having sparse labeling essentially facilitates the automation of the image analysis because the cells are well-separated and easily distinguishable. Notably, this experimental paradigm may be adapted to test multiple genes of interest by simultaneously co-culturing neurons co-electroporated with different cytosolic fluorescent markers (e.g., cyan fluorescent protein, red fluorescent protein (RFP), green fluorescent protein (GFP)) in the same well. Similar to other cytotoxicity assays (e.g., propidium iodide or lactate dehydrogenase), the assay described herein is based on the fact that neuronal death is accompanied by rupturing of the cell membrane. This provokes the release of cytosolic proteins by diffusion and, consequently, the loss of GFP fluorescence.
An in vitro model of stroke, namely the OGD model, is presented as an example of neurotoxicity7,8,9. This protocol entails exposing the primary neurons to a salt buffer similar to an artificial cerebrospinal fluid but deprived of oxygen and glucose. Although this model has been presented as an example of neurotoxic stress, different cytotoxic conditions can be tested with the same workflow8,9. Finally, sparse labeling easily enables the development of automated imaging analysis. Here, a protocol was established based on standard immunofluorescence and ImageJ analysis in a smaller setup. Next, this workflow was adapted and scaled up using a cell imaging system that allows an automatized analysis in live imaging in mid- and high-throughput modes. In conclusion, this paper presents a flexible, affordable, and scalable methodology to study neuronal survival in different experimental models of toxicity using live imaging and automated quantification.
All procedures using animals should be supervised by the bioethical animal committee of the institute and performed in compliance with local regulations. The procedures presented herein were approved by the delegated authority and comply with the regulations in Spain and Europe.
1. Primary neuronal culture
NOTE: All the steps are performed inside the culture hood, using sterile materials and solutions to maintain sterile conditions.
Surface | PLL volume (mL) |
Coverslips 15 mm | 0.2 |
Coverslips 13 mm | 0.18 |
96 well plate | 0.07 |
24 well plate | 0.3 |
6 well plate | 2 |
60 mm plate | 4.5 |
Table 1: Optimal volumes of poly-L-lysine according to the surface area.
Plating Medium | |||
MEM | 42.5 | mL | |
10% Horse serum or FBS* | 5 | mL | |
30% glucose (0,6% final concentration) | 1 | mL | |
PS (penicillin, 10000 U/mL; streptomycin, 10 mg/mL); | 0.5 | mL | |
Electroporation medium | |||
Opti-MEM | |||
Neuronal Medium | |||
Neurobasal medium | 48.5 | mL | |
B-27 | 1 | mL | |
Glutamax 200 mM | 0.125 | mL | |
PS (penicillin, 10000 U/mL; streptomycin, 10 mg/mL); | 0.5 | mL | |
OGD Medium (Tasca, et al. 2014) | |||
CaCl2 | 1 | mM | |
KCl | 5 | mM | |
NaCl | 137 | mM | |
KH2PO4 | 0.4 | mM | |
Na2HPO4 | 0.3 | mM | |
MgCl2 | 0.5 | mM | |
MgSO4 | 0.4 | mM | |
HEPES | 25 | mM | |
NaHCO3 | 4 | mM |
Table 2: Composition of the different media used.
Surface area of wells and plates | Working Volume | |||
96 well plate | 0.32 | cm2 | 0.1 | mL |
24 well plate | 1.9 | cm2 | 0.5 | mL |
12 well plate | 3.8 | cm2 | 1 | mL |
6 well plate | 9.5 | cm2 | 2.5 | mL |
60 mm plate | 21.5 | cm2 | 6 | mL |
Table 3: Surface area of the different types of plates and the working volumes.
ELECTROPORATION CONDITIONS: Poring Pulse | |||||
Length | V | Interval | N | D. Rate | Polarity |
2 ms | 175 | 50 | 2 | 10 | plus |
ELECTROPORATION CONDITIONS: Transfer Pulse | |||||
Length | V | Interval | N | D. Rate | Polarity |
50 | 20 | 50 | 5 | 40 | plus/minus |
Table 4: Electroporation settings for NEPA21.
2. Construction of the hypoxic chamber
3. Oxygen-glucose deprivation (OGD)
NOTE: The protocol for OGD is adapted from Tasca et al.7
4. Analysis by standard immunofluorescence and ImageJ
NOTE: Recovery time may vary from 1 to 24 h depending on the conditions.
5. Real-time analysis with IN Cell Analyzer 2200
This protocol aims to establish an in vitro model of stroke. It is important to obtain an adequate neuronal density, which will allow the recognition of individual electroporated neurons to analyze them individually. The stage of the neuronal culture after plating is also crucial. The maturation of neurons in culture is progressive. The dependence on growth factors, neurite outgrowth, connectivity, and electrophysiological activity will vary greatly depending on the stage. In these specific conditions at 4-6 days in vitro, although the neurites are well-extended, the neurons are still very immature, highly dependent on growth factors, and possess a relatively low electrophysiological activity. At this stage, OGD may simulate conditions closer to embryonic development. Dendritic spines and clear synaptic clusters can be observed by days 8-10 in vitro11. On day 14 in vitro under these experimental conditions, cortical neurons are mature and have reached a full complexity of connectivity and electrophysiological activity3. Here, we challenged cortical neurons with OGD at day 14 to simulate the conditions of an adult brain.
After 60 min of OGD, the neurons were incubated in the IN Cell Analyzer 2200. Control neurons were imaged in parallel and did not show any signs of distress. In the control, the somas and neurites of GFP-expressing neurons are visible at the later time points (Figure 5A). Neurons subjected to OGD begin showing signs of neurite degeneration at early time points, followed by loss of fluorescence in the soma due to rupturing of the plasma membrane and diffusion of GFP out of the neurons (Figure 5A). Because of the higher signal intensity, round morphology, and sparse labeling, the simple analytical workflow designed for this study allows robust and fast analysis of neuronal survival (Figure 5B). The results show the high reproducibility between the fields in the same CV or well and between the CVs of the same condition (Figure 5B, Supplemental Table S1, and Supplemental Table S2).
For comparison, Figure 5C shows manual quantification of the surviving neurons in a subset of the same images that validate the automatized analysis (Figure 5B,C; the raw data are available on request). Hence, this procedure is a reliable model of stroke in vitro, simulating the cellular death that underlies ischemic events. Moreover, this model opens a wide number of possibilities, as drugs or the overexpression of certain proteins (co-transfection with the electroporation method) can be tested to study the response to hypoxia or other toxic factors. Taken together, the described protocol is proposed for the establishment of an adequate model to perform medium-scale screening.
Figure 1: Schematic outline of the experimental paradigm. The schema summarizes the main steps of this experimental paradigm. First, the establishment of the primary neuronal culture with the electroporation step. Next, mature neurons are subjected to OGD to reproduce a stroke in vitro. Finally, for the image analysis, two different options are proposed: for small scale, a semi-automatic approach with ImageJ in immunostained samples; for high-content screening, automatic analysis using IN Cell Analyzer 2200. Abbreviations: OGD = oxygen-glucose deprivation; RT = room temperature; CVs = coverslips. Please click here to view a larger version of this figure.
Figure 2: The electroporation system. (A) The device used for electroporation with NEPA21. (B) Magnification of the device where the cuvettes are inserted for electroporation. (C) The cuvette used for electroporation. Please click here to view a larger version of this figure.
Figure 3: The custom-made hypoxic chamber. (A) The different parts of the hypoxic chamber. As noted, it is formed by a hermetic container in which platforms can be introduced to treat different samples. (B) The bubbling chamber and a cell culture flask in which the OGD solution is saturated with nitrogen. (C) This scheme shows the gas flux to saturate the chamber with N2 to reach oxygen deprivation. Abbreviation: OGD = oxygen-glucose deprivation. Please click here to view a larger version of this figure.
Figure 4: Comparative images and workflow of the analysis. Representative images obtained at 20x with (A) an inverted microscope and (B) Cell analyzer. (C) Workflow generated to create a mask and analyze the images obtained with a microscope using ImageJ software. (D) Workflow generated to create a mask and analyze the images obtained with the cell analyzer using the associated developer toolbox v1.9. (E) Representative image of the mask generated with ImageJ. (F) Representative image of the mask generated with the developer toolbox v1.9. Scale bars = 50 µm. Abbreviations: FITC = fluorescein isothiocyanate. Please click here to view a larger version of this figure.
Figure 5: Kinetics of neuronal cell death after hypoxia. (A) Representative images of neurons expressing GFP in control conditions or subjected to hypoxia for 60 min and imaged at different time points (up to 360 min (')). Images were taken with the IN Cell Analyzer 2200 in a time-lapse mode (every 30 min). White arrowheads point to neurons that are alive at the beginning of the time course and dying because of the hypoxic insult during the time-lapse. (B) Percentage of live neurons at each time point of the time course for control cells and for neurons subjected to hypoxia. These data were automatically calculated after setting the analysis workflow in the IN Cell Developer Toolbox v1.9 software. (C) Percentage of live neurons at each time point of the time course for control cells and neurons subjected to hypoxia. These data were manually calculated after setting the analysis workflow in the ImageJ software. Scale bars = 50 µm. Abbreviations: Ctrl = control; GFP = green fluorescent protein. Please click here to view a larger version of this figure.
Supplemental Table S1: Raw and processed data obtained after setting the analysis parameters in the IN Cell Developer Toolbox v1.9 software. Red highlighting indicates that more than 50% of the neurons in the analyzed field are dead. Please click here to download this Table.
Supplemental Table S2: Raw and processed data obtained after setting the analysis workflow in the ImageJ software. Red highlighting indicates that more than 50% of the neurons in the analyzed field are dead. Please click here to download this Table.
This protocol shows an effective way of modeling a stroke in vitro. To achieve this goal, we proposed sparse labeling of cortical neurons using the electroporation system NEPA215. This is an open system that allows customization of the protocol with minimal operative cost compared to other systems that employ kits or specific devices. Mixed culture of naïve and electroporated neurons allows more flexibility and robustness as compared to low-density neuronal culture. This allows the study of the influence of different genes, constructs, and proteins and is easily scalable. For instance, we used a similar approach to determine the role of Nrg1, a neurotropic factor expressed by cortical neurons, in intracellular signaling in stroke4. Moreover, the electroporated cells can be mixed at different densities with non-electroporated cells to obtain sparse and adjustable numbers of fluorescent cells depending on the goal of the study.
For example, it is recommended to use a lower concentration for cellular morphology analysis. Thus, each neuron can be seen isolated, especially in the late stages where the neurites are considerably extended. As a rule of thumb, aim to have sufficient fluorescent neurons for consistent quantification in any given field of imaging (e.g., average n > 10) but not too many so that single cells can still be distinguished (e.g., average n < 50). Some variability in the number of fluorescent neurons per field is expected given the stochastic distribution of the sparse cells in the well. Although the methodology proposed here is robust across different cell densities, an excessive cell density is more problematic because it does not allow the user to distinguish between different cells in the image. While the NEPA21 electroporation system is a flexible and cost-effective platform12,13, other electroporation systems, such as the Amaxa Nucleofector or the Neon Transfection System, may also be used.
This paper describes the OGD method as a cytotoxic model, an established in vitro model of stroke4,7. OGD is one of the several models of neurotoxicity available, and it challenges the neurons in vitro with multiple hits: absence of glucose and oxygen and lack of growth factors, vitamins, anti-oxidants, hormones, and other important components that are typically present in the neuronal culture medium and supplement (NB27). Here, naïve neurons were used as healthy controls to evaluate the neuronal response to cytotoxic stress, as described previously4.
This control will ensure that the viability of the primary culture is optimal and that the imaging process is not harmful to the neurons in case of time-lapse microscopy. In addition, to selectively evaluate the response to lack of glucose and oxygen, the control neurons may be treated with OGD normoxic medium supplemented with glucose7. The choice of the most appropriate controls should be considered carefully depending on the specific aims of the experiment. Also described in detail is how to build customized and inexpensive hypoxic chambers.
Other methods may be used to model stroke in vitro or other neurotoxic conditions. For example, inhibitors of the electron transport chain (rotenone, antimycin, and sodium azide) or glutamate receptor agonists (N-methyl-D-aspartate) have been widely used8. Finally, this paper describes the imaging and analysis workflow as a representative example. The optimal workflow may vary greatly depending on the experimental conditions and imaging. Investigators can adapt and optimize this basic protocol according to the specific requirements of their experiments.
Sparse labeling and visualization of the neurons greatly simplify the analysis that can be easily streamlined and automatized in different platforms. This allows setting up the protocol on a small scale for image analysis and easily adapt these conditions to high-throughput screening with IN Cell or similar platforms for drug screening. The IN Cell system has multiple and significant advantages over conventional microscopy for image analysis. It allows the user to customize the settings, perform repeated measurements of the same region of interest, and analyze all the pictures semi-automatically, facilitating data processing. Other live-imaging systems, as recently shown14, may also be adapted to this workflow. Notably, GFP may be co-transfected with specific markers to visualize cellular structures, such as mitochondria or synaptic markers, for more refined analysis.
Live-imaging and real-time analyses have two major advantages: first, they do not require the use of antibodies or other expensive reagents; second, they provide temporal information about cell death that allows a more precise comparison between different experimental conditions. For instance, a specific gene of interest may be co-electroporated with a different fluorescent cytosolic marker (e.g., RFP) and co-cultured with GFP-expressing internal control neurons. In conclusion, this protocol offers an effective way of reproducing this in vitro model of neurotoxicity given its simplicity, versatility, and scalability. It is particularly apt for testing the roles of specific genes and pathways in live imaging and for high-throughput drug screening.
The authors have nothing to disclose.
We would like to thank Carlos Dotti for sharing his expertise in neuronal culture. We also thank Alicia Martínez-Romero from the Cytomics Core Facility of the Centro de Investigación Principe Felipe (CIPF), which is supported by European FEDERER funding. The project is supported by the Spanish Ministry of Economy and Competitiveness for (SAF2017-89020-R) reagents, materials, and the salaries of YDC and PF. PF is also supported by the grant RyC-2014-16410. CGN and PF are supported by Conselleria de Sanitat of the Generalitat Valenciana, as well as AGM (ACIF/2019/015). Ángela Rodríguez Prieto is supported by the Spanish Ministry of Science, Innovation and Universities, with the grant PRE2018-083562.
10 cm petri dishes | FISHER SCIENTIFIC, S.L. | 1130-9283 | |
3.5 cm petri dishes | Sterilin | ||
75 cm2 flask | Corning | 430641U | |
B-27 | Life Technologies | 17504-044 | |
Cell culture plates | Corning incorporation Costar® | 3513 | |
Cell incubator | Thermo Electron Corporation | Model 371 | |
Cell strainer 70 µm | Falcon | 352350 | |
Cold lights | Schott | 223488 | KL 1500 LCD |
Coverslips (15 mm) | Marienfeld | 111530 | |
CU500 Cuvette Chamber | Nepa Gene | ||
CU600 Cuvette Stand Holder | Nepa Gene | ||
DAPI | Sigma-Aldrich Quimica, S. L. | D9542-10MG | 1:2000 |
DMSO | Panreac | A3672 | |
Dumont Fine Forceps | FST | 11254-20 | |
Dumont Fine Forceps | FST | 11252-00 | |
EC-002S NEPA Electroporation Cuvettes, 2mm gap | Nepa Gene | ||
Filter strainer | Falcon | 352350 | |
Fine Scissors-Sharp-Blunt | FST | 14028-10 | |
Fine Scissors-ToughCut r | FST | 14058-09 | |
GFP chicken IgY | Aves Labs | GFP-1010 | 1:600 |
Glucose | Sigma | 68769-100ml | |
GlutaMAX-I Supplement 200 mM 100 mL | Fisher Scientific | 35050-061 | |
HBSS | Thermofisher | 14175-095 | https://www.thermofisher.com/es/es/home/technical-resources/media-formulation.156.html |
Hepes 1 M | ThermoFisher | 15630-080 | |
Horse Serum | Invitrogen | 26050088 | |
MEM | Thermofisher | 11095080 | https://www.thermofisher.com/order/catalog/product/11095080#/11095080 |
Microscope slide (polilysine) | VWR | 631-0107 | Dimension: 25 x 75 x 1 mm |
Mowiol 4-88 | Sigma-Aldrich Quimica, S. L. | 81381-250G | |
Needles yellow, 30 gauge | BD Microlance™ 3 | 304000 | |
NEPA21 electroporator | Nepa Gene | ||
Neubauer chamber | Blau Brand | 717805 | |
Neurobasal Medium | ThermoFisher | 21103-49 | |
Opti-MEM | Invitrogen | 31985-062 | |
Parafilm | Cole-Parmer | PM996 | |
Paraformaldehyde (PFA), 95% | Sigma-Aldrich Quimica, S. L. | 158127-500G | Use solution: 4% |
PEI | Polysciences | 23966-1 | |
Plasmid for GFP | pCMV-GFP-ires-Cre, described in Fazzari et al., Nature, 2010 | ||
Poly-L-Lysine | SIGMA | P2636 | |
PS ( Penicillin, Streptomycin) | ThermoFisher | 15140122 | |
Serrate forceps | FST | 11152-10 | |
Stereomicroscope | WORLD PRECISION INSTRUMENTS | ||
Syringes | BD Plastipak 1ml | 303176 | |
Triton X-100 | Sigma-Aldrich Quimica, S. L. | MDL number: MFCD00128254 | Non-ionic |
Trypsin-EDTA | ThermoFisher | 25300054 | |
Tubes 15 mL | Fisher | 05-539-4 | |
Tubes 50 mL | VWR | 21008-242 | |
Tupperware | – | – | Hermetic tupperware with screw lid. SP Berner – Taper 1 L Redondo con Rosca. Any equivalent hermetic Tupperware may be purchased in any supermarket. |
Water bath | SHELDON LABORATORY MODEL 1224 | 1641951 |
.