In this study, we present a protocol to perform two-photon intravital imaging and cell interaction analysis in the murine tracheal mucosa after infection with influenza virus. This protocol will be relevant for researchers studying immune cell dynamics during respiratory infections.
The analysis of cell-cell or cell-pathogen interaction in vivo is an important tool to understand the dynamics of the immune response to infection. Two-photon intravital microscopy (2P-IVM) allows the observation of cell interactions in deep tissue in living animals, while minimizing the photobleaching generated during image acquisition. To date, different models for 2P-IVM of lymphoid and non-lymphoid organs have been described. However, imaging of respiratory organs remains a challenge due to the movement associated with the breathing cycle of the animal.
Here, we describe a protocol to visualize in vivo immune cell interactions in the trachea of mice infected with influenza virus using 2P-IVM. To this purpose, we developed a custom imaging platform, which included the surgical exposure and intubation of the trachea, followed by the acquisition of dynamic images of neutrophils and dendritic cells (DC) in the mucosal epithelium. Additionally, we detailed the steps needed to perform influenza intranasal infection and flow cytometric analysis of immune cells in the trachea. Finally, we analyzed neutrophil and DC motility as well as their interactions during the course of a movie. This protocol allows for the generation of stable and bright 4D images necessary for the assessment of cell-cell interactions in the trachea.
Two-photon intravital microscopy (2P-IVM) is an effective technique for real time imaging of cell-to-cell interactions as they occur in their natural environment1. One of the main advantages of this method is that it allows the study of cellular processes at a greater specimen depth (500 µm to 1 mm) compared with other traditional imaging techniques2. At the same time, the use of two low-energy photons generated by the two-photon laser minimizes the tissue photo-damage typically associated with the image acquisition process2. During the last decade, 2P-IVM has been applied to study different types of cell-cell interactions in several disciplines3,4,5. These studies have been especially relevant to investigate immune cells, which are characterized by their high dynamism and the formation of prominent contacts following the signals generated by other cells and the environment. 2P-IVM has been also applied to study the interactions between pathogen and host6. Indeed, it has been previously shown that some pathogens can alter the type and duration of the contacts between immune cells, hampering, as a result, the immune response7.
The airway mucosa is the first site in which the immune response against airborne pathogens is generated8. Therefore, in vivo analysis of pathogen-host interactions in this tissue is critical to understand the initiation of the host defense mechanisms during infection. However, 2P-IVM of the airways is challenging mainly due to the artifacts produced by the breathing cycle of the animal, which compromises the process of image acquisition. Recently, different surgical models have been described for imaging murine trachea9,10,11,12 and lungs13,14,15,16. Tracheal 2P-IVM models represent an excellent set-up to visualize the initial phase of the immune reaction in the upper airways, while lung-alveoli 2P-IVM models are more suitable to study the late phase of infections. The developed lung models present a limitation associated with the presence of air-filled alveoli, which restrict the optical penetration of the laser and make the mucosal layer of the intrapulmonary airways inaccessible for in vivo imaging17. Conversely, the structure of the trachea, formed by a continuous epithelium, facilitates image acquisition.
Here, we present a protocol that includes a detailed description of the steps required to perform influenza infection, surgical preparation of the animals, and 2P-IVM of the trachea. In addition, we describe a specific experimental set-up for the visualization of neutrophils and dendritic cells (DC), two immune cell types that play an important role as mediators of the defense mechanism against influenza virus18,19. Finally, we describe a procedure to analyze neutrophil-DC interactions. These contacts have been shown to modulate DC activation and, subsequently, to affect the immune responses against pathogens20.
All animal procedures involving mice were performed in accordance with the Swiss Federal Veterinary Office guidelines and animal protocols were approved by the local veterinarian authorities.
1. Influenza Infection of CD11c-YFP Mice
2. Isolation and Injection of Neutrophils
NOTE: In this procedure, B6.129(ICR)-Tg(CAG-ECFP)CK6Nagy/J mice (CK6-ECFP) were used24. These animals express CFP in all cell types under the human β-actin promoter. Alternatively, it is also possible to use C57BL/6J mice to isolate cells and stain them according to the protocol described in step 2.6. The purification and manipulation of neutrophils may increase their activation status, potentially altering their migratory and functional properties.
3. Preparing the Mouse for Imaging
4. In Vivo Time-lapse Imaging
NOTE: Image acquisition was performed with an upright two-photon microscope, equipped with two Ti:Sa lasers, temperature-controlled incubation chamber, and a 25X/NA 1.1 water immersion objective. The photomultipliers (PMT) used for image acquisition were either hybrid detectors or high sensitivity GaAsP.
5. Image Processing and Quantitative Analysis of Neutrophil-DC Motility and Interaction
NOTE: In this protocol, a specialized imaging software was used for analyzing the microscopy data.
In this work, we described a detailed protocol to study in vivo the motility and the interactions between neutrophils and DC during influenza infection in murine trachea (Figure 3A). To this purpose, we isolated CFP+ neutrophils (92% purity; Figure 3B) from CK6-ECFP mice and we adoptively transferred them into a CD11c-YFP mouse infected with influenza. After that, we performed 2P-IVM of the trachea at day 3 p.i. At this time point we observed a clear recruitment of neutrophils in the infected area, as shown by flow cytometric analysis (Figure 3C). The 2P-IVM protocol requires the use of a specific surgical board and an oxygen supplier for rodents (Figure 1A). Supplying oxygen through a cannula inserted in the trachea helped the animal breathing, facilitated the exposition of the trachea, and controlled the organ movement associated with breathing (Figure 1B). Following this experimental set-up, we acquired stable 4D images in vivo in the infected trachea during a period of 30 min (Figure 3D, Movie 1).
The analysis of the acquired 4D images through specialized imaging software allowed to measure the migration of cells and to quantify the spatio-temporal dynamics of neutrophils and DC. Regarding cell motility, we observed significant differences between the movement of DC and the recruited neutrophils, which showed a significantly faster speed than the latter (Figure 4A). This result confirms the dynamic nature of neutrophils, previously described as highly motile cells capable of migrating towards a chemoattractant source29. Regarding directionality, we concluded that complex morphology of the DC yielded frequent errors in cell tracking, which in turn produced tracks with decreased duration and increased variance of the measured directional behavior (Figure 4B). For this reason, we computed a robust metric that is able to measure directionality by considering track duration. Using this metric, we observed a significant difference in the directionality of neutrophils vs DC (Figure 4C).
Additionally, the computation of the distance between neutrophils and DC allowed to detect and to analyze their contacts over time. In this experimental model, we observed some neutrophils that formed multiple-brief contacts with DC and others that did not form any contact during the imaged period (Figure 4D). Moreover, the study of the average trend of the distance between neutrophils and DC over time allowed us to study the overall positioning of the studied cells (Figure 4E), while the investigation of the trend in specific cells allowed to characterize the behavior of each single-cell (Figure 4F, Movie 2).
Figure 1: Equipment and steps for 2P-IVM of murine trachea. (Ai) The portable animal anesthesia system in charge of the automated ventilation is connected to a pump that supplies oxygen to the mouse. Front view (Aii) and side view (Aiii) of the custom-made surgical board used for the tracheal model. The board is composed of a metal stage with a plastic mouse positional (Aii-a), a rod for holding a movable clamp (Aii-b), and a fine tunable XYZ translator (Aii-c). (B) Sequential steps of the tracheal surgical model: (Bi) hair removal of the surgical area, (Bii) positioning of the anesthetized mouse in the surgical board, (Biii) surgical exposition of the trachea, (Biv) intubation with a catheter with artificial ventilation, (Bv) fixation of the catheter, (Bvi) addition of PBS to the exposed trachea, (Bvii) mounting of the coverslip, and (Bviii) placement of a catheter with anesthesia. Please click here to view a larger version of this figure.
Figure 2: Fluorescent signal detection during 2P-IVM. (A) Schematic representation of the microscope detection filter set-up and corresponding channels. Dichroic mirror at 560 nm separates blue/green from red/far red emissions. Additional dichroic mirror at 495 nm is used to further recognize the different subregions of the emission spectrum. Channel 1 employs a hybrid detector (emission filter 475/50), while channel 2 uses high sensitivity GaAsP PMT (emission filter 525/50). (B) Representative scatter dot plots of 2P signals showing the gating strategy for the generation of the colocalization channels for the identification of signal coming from the CFP (Bi) and the YFP (Bii) fluorophores. (Biii) Representative micrographs showing the specific signals from channel 1 (Ch 1, dark blue), channel 2 (Ch 2, green), the co-localization channel for CFP (light blue), the co-localization channel for YFP (yellow), and the combination of all channels (Ch 1+Ch 2+CFP+YFP). Please click here to view a larger version of this figure.
Figure 3: Intravital 4D imaging of neutrophils and DC in an influenza infected trachea. (A) Schematic outline of the protocol. (B) Representative flow cytometric scatterplot showing the percentage of neutrophils with respect to the total CD45+ cells in a cell suspension isolated from murine bone marrow using the Percoll gradient method. (C) Representative flow cytometric scatterplots showing an increase in the frequency of neutrophils in tracheas from uninfected mice compared to mice infected with influenza virus at day 3 p.i. (D) (Left panel) Anatomical image of a murine trachea showing the area selected for image acquisition. (Right panel) Representative 3D projection of a 2P-IVM micrograph showing the surface reconstruction of neutrophils (light blue) and DC (yellow) together with their tracks at day 3 p.i. SHG signal is shown in dark blue. Scale bar = 100 µm. Please click here to view a larger version of this figure.
Figure 4: Characterization of neutrophil and DC migration and interaction dynamics in influenza infected trachea. Representative plots showing the track speed mean (A), track straightness (B), and corrected track straightness (C), as defined by Beltman and colleagues (2009)28, of neutrophils and DC in trachea at day 3 p.i. with influenza virus. The corrected track straightness measurement exhibits robustness to tracking errors. (D) 2D histogram showing the frequency of neutrophil according to their number of contacts with DC and the mean contact duration. (E) Average distance of neutrophils to the closest DC during the duration of the movie. (F) (Left) Analysis of the distance of a representative neutrophil to the closest DC in time. The dotted red line indicates the distance threshold to consider that a neutrophil established a contact with a DC. (Right i-iii) Micrographs acquired at different time points representing the migration of a neutrophil (light blue) towards a DC (yellow). Cell tracks are shown as a multicolored line that changes color from blue to red to represent time. SHG signal from fibrillary collagen is shown in dark blue. Scale bar = 50 µm. In all figures, the presented data are representative of at least three independent experiments. Results are given as mean ± SD. Statistics by Welch's test. ns p >0.05; ****p <0.0001. Please click here to view a larger version of this figure.
Movie 1: Neutrophils and DC dynamics in trachea during influenza infection. 30 min time-lapse 3D image showing interaction dynamics between neutrophils (light blue) and DC (yellow) as well as their respective tracks with respect to the collagen network (dark blue) of the trachea. Representative neutrophil-DC interactions are indicated by white arrows. Cell tracks are shown as a multicolored line that changes color from blue to red to represent time. Scale bar = 50 µm. Please click here to view this video. (Right-click to download.)
Movie 2: Representative short-term neutrophil-DC interaction in the trachea during influenza infection. 30 min time-lapse 3D image showing a representative interaction between a neutrophil (light blue) and a DC (yellow) and their respective tracks. Cell tracks are shown as a multicolored line that changes color from blue to red to represent time. SHG signal from collagen is shown in dark blue. Scale bar = 10 µm. Please click here to view this video. (Right-click to download.)
This work presents a detailed protocol for the generation of 4D images showing the migration of adoptively transferred neutrophils and their interactions with DC during an influenza infection in the mouse trachea. The described 2P-IVM model will be relevant to study immune cell dynamics during an infection in the airways.
Recently, several models based on the visualization of cell dynamics in the airways have been developed9,10,11,12,13,14,15,16. However, in vivo imaging of the lung is still challenging, considering the anatomic position of this organ and the technical difficulties to minimize the movement during the breathing cycle30. To overcome these problems, some authors have proposed the use of a custom-built circular suction chamber, which needs to be surgically inserted in the thorax13,14. However, this procedure requires an invasive intervention that could compromise the results, especially in those studies that have focused on the investigation of the inflammatory response. Furthermore, lung surgical models present a limitation for deep tissue imaging due to the light refraction originated by the air in the alveoli17. Conversely, different tracheal models have been recently employed to study cell dynamics in the airway epithelium. Imaging of this organ presents clear advantages compared to lung, such as the relatively simple surgery required to expose and immobilize the organ, as well as the higher accessibility to the tracheal epithelium. The proposed tracheal model is also relevant to investigate the initiation of the response against airway pathogens, such as influenza virus, since the trachea is one of the first sites of viral replication during the course of an influenza infection8.
Interestingly, a study showing an alternative intubation-free method for imaging the trachea has been recently published12. This method is characterized by a decreased inflammation and shows clear advantages in studies where the mucociliarity function of the epithelial cells needs to be preserved. However, this method does not guarantee sufficient stability and the acquisition of brighter signals necessary to study cell-cell contacts in a range of a few µm. Conversely, the method presented in the current protocol provides better immobilization of the organ thanks to the intubation, and allows the detection of stronger fluorescence signals as a result of the shorter distance between the organ and the coverslip12.
Accomplishing tissue immobilization during in vivo 2P-IVM image acquisition is the most critical step to generate optimal data. Some crucial measures that contribute to the stability of the presented method include: an appropriate mouse anesthesia; a correct mouse intubation; and a surgical exposition of the trachea that allows an easy access to the organ by the coverslip. Additionally, imaging the right number of cells (ideally 30 cells per field of view) will strengthen the obtained results. The recruitment of the optimal number of cells will depend to a large extent on the viral infection dose, which is very much influenced by the proper administration of the viral inoculum.
Another critical step of the protocol is the surgical exposition of the trachea. Different measures can be adopted to minimize the damage caused to the organ during surgery. For example, the trachea should not be directly touched with surgical tools. Instead, it should be exposed by manipulating only the surrounding tissues (skin, salivary glands, and muscles). If strictly necessary, the trachea should be handled using unsharpened items. Additionally, efforts should be done to avoid blood vessel damage. Finally, to prevent organ dehydration, it is also important to cover it with PBS immediately after surgery.
Despite the unique advantages of this method over the previously described methods for the visualization of the immune cell interactions in the tracheal mucosa, the use of this model presents some limitations. As described above, the presence of inflammation associated with the tracheal surgery might represent a drawback when studying immune responses. To overcome this limitation, it is possible to administer anti-inflammatory drugs prior to the initiation of the procedure. Another limitation of this model is related to the presence of a strong autofluorescence signal existing in the airways, which is mainly generated by the resident cells and the mucus layer. This non-specific fluorescence creates artefacts that might hinder the analysis. Furthermore, misleading calculation of the track straightness parameter might be generated when comparing cell tracks of different durations and when tracking errors introduce tracks of short duration26. To overcome this problem, we applied a penalty coefficient to correct track straightness. Such correction is intended to minimize the effect of miss-tracking in the results28.
A crucial aspect of 2P-IVM experiments is the possibility to re-use mice that have undergone surgery and imaging. The in vivo imaging protocol described here does not require animal euthanasia or organ collection, thus leaving the possibility to recover and re-use mice after surgery for other procedures. Using a single mouse, for example, to perform trachea imaging at different time points could dramatically decrease the number of total animals needed in an experiment, supporting the animal reduction principle. Moreover, it could also reduce inter-individual variability. However, animal recovery and re-use must follow animal welfare standards that includes the administration of proper analgesic drugs and antibiotics to the animals during recovery time. All these procedures must be included in the animal experimentation protocol and approved by the local veterinarian authorities.
The described protocol can be easily adapted to the study of other immune cell types. For example, isolation and injection of (fluorescent or stained) pathogen-specific T cells might be used to study T cell activation dynamics31 as well as their interaction with other cells such as tracheal DC. In a similar way, the visualization of blood or lymphatic vessels could represent an interesting approach to study the recruitment of inflammatory cells into the tracheal tissue during the course of infection. Moreover, 2P-IVM of the trachea could also be applied to study the dynamics of the immune response to other airborne pathogens. Therefore, the use of transgenic fluorescent airborne pathogens, such as Streptococcus pneumoniae32, will create new opportunities to study their interactions with the immune system. Although this procedure focuses on measuring the dynamics of immune cells during infection, it could be also applied to different fields including cancer, asthma, or wound-healing.
The authors have nothing to disclose.
This work was supported by the Swiss National Foundation (SNF) grants (176124, 145038, and 148183), the European Commission Marie Curie Reintegration Grant (612742), and the SystemsX.ch for a grant to D.U.P. (2013/124).
Gigasept instru AF | Schülke & Mayr GmbH | 4% solution | |
CD11c-YFP mice | Jackson Laboratories | 008829 | mice were bred in-house |
CK6-ECFP mice | Jackson Laboratories | 004218 | mice were bred in-house |
1 X Dulbecco's Phosphate Buffered Saline modified without Calcium Choride and Magnesium Chloride | Sigma | D8537-500ML | |
10 X Dulbecco's Phosphate Buffered Saline modified without Calcium Choride and Magnesium Chloride | Sigma | D1408-500ML | |
Percoll PLUS | Sigma | E0414-1L | Store at 4°C |
Ketamin Labatec | Labatec Pharma | 7680632310024 | Store at RT, store at 4°C when in solution of ket/xyl mixture |
Rompun 2% (Xylazin) | Bayer | 6293841.00.00 | Store at RT, store at 4°C when in solution of ket/xyl mixture |
26 G 1 mL Sub-Q BD Plastipak | BD Plastipak | 305501 | |
30 G 0,3 mL BD Micro-Fine Insulin Syringes | BD | 324826 | |
Falcon 40 µm Cell Strainer | Corning | 352340 | |
2 mL Syringes | BD Plastipak | 300185 | |
Microlance 3 18 G needles | BD | 304622 | |
Introcan Safety 20G (catheter) | Braun | 4251652.01 | |
6 Well Cell Culture Cluster | Costar | 3516 | |
RPMI medium 1640 + HEPES (1X) | ThermoFisher Scientific | 42401-018 | Store at 4°C |
Liberase TL Research Grade | Roche | 5401020001 | Store at -20°C / collagenase (I and II) mixture |
DNAse I | Amresco (VWR) | 0649-50KU | Store at -20°C |
CellTrace Violet stain | ThermoFisher Scientific | C34557 | Store at -20°C |
EDTA | Sigma | EDS-500G | |
Fetal Bovine Serum | Gibco | 10270-106 | Store at -20°C |
PE-10 Micro Medical Tubing | 2Biological Instruments SNC | #BB31695-PE/1 | |
Surgical Plastic Tape | M Plast | ||
Viscotears | Bausch & Lomb | Store at RT | |
Plasticine | Ohropax | ||
High Tolerance Glass Coverslip 15mm Round | Warner Instruments | 64-0733 | |
SomnoSuite Portable Animal Anesthesia System | Kent Scientific | SS-01 | |
Nuvo Lite mark 5 | GCE medline | 14111211 | |
MiniTag (gaseous anesthesia and heating bench) | Tem Sega | ||
SURGICAL BOARD | University of Bern | ||
TrimScope II Two-photon microscope | LaVision Biotec | ||
Chameleon Vision Ti:Sa lasers | Coherent Inc. | ||
25X NA 1.05 water immersion objective | Olympus | XLPLN25XWMP2 | |
The Cube&The Box incubation chamber and temperature controller | Life imaging Services | ||
Imaris 9.1.0 | Bitplane | Imaging software | |
GraphPad Prism 7 | GraphPad | Statistical software |