This protocol providesa method of primary murine T cell isolation and time-lapse microscopy of T cell migration under specific environmental conditions with quantitative analysis.
The adaptive immune response is reliant on a T cell's ability to migrate through blood, lymph, and tissue in response to pathogens and foreign bodies. T cell migration is a complex process that requires the coordination of many signal inputs from the environment and local immune cells, including chemokines, chemokine receptors, and adhesion molecules. Furthermore, T cell motility is influenced by dynamic surrounding environmental cues, which can alter activation state, transcriptional landscape, adhesion molecule expression, and more. In vivo, the complexity of these seemingly intertwined factors makes it difficult to distinguish individual signals that contribute to T cell migration. This protocol provides a string of methods from T cell isolation to computer-aided analysis to assess T cell migration in real-time under highly specific environmental conditions. These conditions may help elucidate mechanisms that regulate migration, improving our understanding of T cell kinetics and providing strong mechanistic evidence that is difficult to attain through animal experiments. A deeper understanding of the molecular interactions that impact cell migration is important to develop improved therapeutics.
T cells are the major effectors of the adaptive, antigen-specific immune response. On a population level, T cells are heterogeneous, comprised of cellular subsets with distinct specialized functions. Importantly, CD8+ T cells are the main cytolytic effectors of the immune system, which directly eliminate infected or dysfunctional cells1.
Mature CD8+ T cells reside in tissue and circulate through blood and lymphatics in search of antigens. During infection, T cells are presented with antigens in blood or tissue and quickly drain to the spleen or nearest draining lymph node to begin a productive immune response. In either case, T cells become activated, undergo clonal expansion, and leave the lymphatic system to enter the blood, if not already there. During this process, intracellular signaling confers the downregulation of lymphatic homing receptors and the upregulation of numerous integrin and chemokine receptors essential for tissue-specific migration2. Ultimately, the directed migration of T cells to sites of infection is driven by converging environmental signals that include integrin and chemokine signaling.
Chemokines can be broadly categorized into two main classes: (1) homeostatic signals, which are essential for differentiation, survival, and basal function, and (2) inflammatory signals, such as CXCL9, CXCL10, and CCL3, which are required for chemotaxis. Generally, chemokines create a signal gradient that drives directional migration, known as chemotaxis, in addition to activating integrin expression1. Chemotaxis is finely regulated and highly sensitive, with T cells capable of responding to tiny changes in gradient that can lead them toward a specific direction or location.
In addition to these T cell-related factors, migration is also affected by the extracellular matrix (ECM) composition and density. The ECM is made up of a dense network of proteins, including collagen and proteoglycans, which provide the scaffold for adhesive integrin receptors on T cells. Integrins are a diverse family of transmembrane proteins, each with highly specialized binding domains and downstream signaling effects. Dynamic expression of integrin receptors on the surface of a T cell enables quick adaptation to their changing environments3. Importantly, integrins connect the ECM and intracellular cytoskeletal actin networks that work together to generate the propelling force required for T cell movement.
In summary, migration patterns vary based on the immune cell phenotype or environmental signals. These complex biological processes are tightly regulated by the expression of cytokines, chemokines, and integrins on the surface of the T cell, surrounding cells, and the local, infected tissue. In vivo, these migratory mechanisms can be complex and may result from several additive signals4. Due to this complexity, it can be impossible to establish a causal relationship between seemingly interlocked variables. To overcome this, there are several in vitro approaches to study specific aspects of T cell migration such as response to specific chemokine signals and the interaction between T cell integrins and ECM binding proteins. This protocol addresses methods to isolate and activate murine CD8+ T cells, with in vitro migration assays in two-dimensional space and computational analysis tools for analyzing specified T cell migration. These methods are advantageous to the user because they do not require sophisticated materials or devices, as with some other cell migration assays described in the literature. Cell migration data generated with these methods can provide evidence of immune responses in a simplistic manner that enables further, informed investigation in vivo.
The animal protocols were approved by the University Committee on Animal Resources at the University of Rochester. The mice in this study were maintained in the pathogen-free space of the University of Rochester animal facility. Male/female C57BL/6 mice, aged 6-12 weeks (15-30 g), were used for the present study. Mouse tissue isolation can be performed on a benchtop with gloves to cover hands and a facemask to cover the nose and mouth, or inside a biosafety cabinet. All cell culture and plate preparation must be performed in a biosafety cabinet. The reagents and equipment used in this study are listed in the Table of Materials.
1. CD8+ T cell purification and activation
2. Lifting the activated CD8+ T cells
3. Preparation of glass dish
4. Preparation of cells
5. Time-lapse microscopy
6. Software-assisted analysis of T cell migration
Confirmation of T cell activation can be achieved by flow cytometry, looking for increased expression of CD69 and CD44, which are canonical markers of activation in murine T cells6. Additionally, the purity of the T cell population can be determined by flow cytometry for CD3+ CD8+ T cells. This method yields >90 % CD8+ T cell population.
T cell migration can be assessed with software-assisted cell tracking programs that are both reproducible and tunable to fit the investigator's needs. Some basic parameters used to determine experimental effects include cellular velocity (migration length per a given time to determine how fast a cell moves), displacement (migration distance, a straight line from the starting point to the endpoint, to determine how far a cell migrates), track length (migration distance, the total length of migration path, to determine how far a cell migrates), and meandering index (MI is between 0 and 1 to determine the straightness of migration, 1 = straight). These parameters are employed to evaluate migratory differences in naïve and activated CD8+ T cells crawling along ICAM-1 coated glass with CXCL12 (Figure 1). Increased average velocity, displacement, and meandering index were observed in activated CD8+ T cells compared to naïve, indicating that activated T cells have increased migration capability. Similarly, the impact of different chemokines on cellular migration patterns can be elucidated with these methods. For example, activated CD8+ T cells exhibit increased migration in the presence of CXCL12, but not CCL2 or CCL22, and migration increases in a dose-dependent manner to a saturating concentration (Figure 2). Furthermore, software-assisted cell tracking enables the characterization of individual cell migration, which allows an understanding of the effects of individual ligands on T cell behavior. Representative cell tracks can be seen in Figure 3.
Taken together, these data support the efficacy of the current methods by confirming that we can (1) track cell migration on an individual cell basis, and (2) distinguish differences in migration of CD8+ T cells based on activation status and in the presence of different chemokines and adhesion molecules. This assay is a critical step in dissecting complex signaling mechanisms and informing focused in vivo experiments that can further address the biological contributions of specific signals in a cell type-specific manner.
Figure 1: In vitro assays for naïve and activated CD8+ T cell migration. Naïve or CD3/CD28-activated mouse CD8+ T cells were allowed to migrate on ICAM-1 plus CXCL12 for 10 min. Velocity, displacement, and meandering index of the cell migration were analyzed using time-lapse microscopy and Volocity. Each group has 36 individual T cells (mean ± SEM). Please click here to view a larger version of this figure.
Figure 2: In vitro assays for chemokine-dependent migration of activated CD8+ T cells. CD3/CD28-activated mouse CD8+ T cells were allowed to migrate on ICAM-1 plus an indicated chemokine. The ratios of the number of cells crawling more than 50 µm for 20 min (percentage of total) were determined in a field of view. A single assay analyzed >10 cells (n = 3 assays per group mean ± SEM). Unpaired t-test, *p< 0.05 compared with control. Please click here to view a larger version of this figure.
Figure 3: Migratory tracks of activated CD8+ T cells on ICAM-1 plus CXCL12 for 20 min. Each colored line indicates the migratory track of each T cell in a direction from the point of the cell to the opposite. In this particular assay, 24 out of 38 cells migrated in a significant length (at least the distance of their cell width by our definition). T cells migrated in different lengths of distances, indicating each cell was in a different status of activation or priming. All the migrating cells moved in different directions under the condition that the surface was uniformly coated. Please click here to view a larger version of this figure.
Understanding the biological impact of converging signals in vivo is challenging and not easy to interpret. The protocols presented herein provide a reasonable method to understand T cell migration in highly defined and biologically relevant conditions. These conditions can be specified based on the investigator's discretion, and the protocols can be modified to fit the needs of various T cell populations, activation status, and cell phenotype. Furthermore, many ligands and receptors can be interrogated through these defined antibody-blocking7,8 and ligand-coated glass procedures8,9,10. This technique has also been a critical platform to develop engineered immune cells11,12.
Important steps in the protocol include the isolation of secondary lymphoid tissue, activation of the T cells, coating of the glass imaging dishes, and data analysis. To the inexperienced eye, lymph nodes embedded in tissue can be difficult to identify and extract. This can be overcome with practice. Once T cells have been isolated and purified, the activation step results in sticky cells that, if not lifted properly, can result in low yield. This can be avoided with generous and careful washing of the wells. Glass dishes must be properly coated with the ligand of interest and washed before the addition of cells. This will ensure that a robust layer of protein is available for cells to adhere to, while also ensuring that excess reagent does not disrupt the biology. Protein A-glass surface binding and Fc-Protein A binding in the physiological pH and salt concentration are strong enough to resist being washed off when gently pouring and decanting buffer. Residual proteins, if any, in the medium do not cause any toxicity, even though they might disturb cell interaction with bound ligands if unbound ones are in high concentrations. We rule out this possibility by rinsing the coated glass a couple of times. Finally, many user-friendly commercial and non-commercial software exist that allow researchers to detect even subtle differences in cellular behaviors and morphologies. The importance of reassuring the analyzed results manually to exclude errors that the software could make cannot be overstated.
Methods for T cell purification and activation can be modified to fit the needs of the researcher to obtain the proper cell state and phenotype to recapitulate in vivo observations. Various cell types and states can be used to address different mechanisms of infection and immune response7,8,9,10,11,13, including addressing naïve and memory T cell behavior and various aspects of the memory response, such as priming and recruitment, in tissue-specific conditions14. This method can be used for co-culture with different cell types to understand cellular interactions further, including cell-cell contact times and duration7,9, antigen presentation9,13, and target cell killing6. Additional reporters and labels can be used to assess subcellular structures7, granules15, apoptosis6, and more.
The protocol is an excellent tool to guide additional in vivo experiments based on observations in simplified and highly defined conditions. While in vitro assessment of cell motility can be highly reductive, it is an important step in breaking down complex biological activities. With the results of these experiments, investigators can approach in vivo work in a more physiologically relevant and targeted way.
The simplicity of this method also represents its major limitation; though representative of in vivo activities, all results can be further confirmed using intra-vital multiphoton microscopy, for example. The method described herein is one of the simplest that is fully available to research labs with a brightfield microscope and/or epifluorescence microscope with a digital camera integrated into the microscope system or separately put on the scope's objective. On the other hand, there are more options for advanced analysis of in vitro immune cell migration. First, immune cells are often driven by chemokine gradients in the biological system. Analysis of immune cell behaviors under chemokine gradients can be attained in several ways. One simple method is to use a specially designed slide (see Table of Materials). This channeled well system, when its bottom coated with integrin ligands, enables analysis of immune cell migration under static chemokine gradient. Other simple assays for immune cell chemotaxis include time-lapse microscopy of cell migration to a micropipette tip that releases chemokines16, under agarose assay17, and Zigmond chamber18. For more sophisticated migration assay under controlled chemokine gradients, customized slides with microfluidic gradient generators are required19,20. Second, immune cells can migrate in unique physical conditions using different mechanisms, sometimes without using integrin-dependent adhesion to ligands. The in vitro migration assay in one-dimension can be done with or without integrin ligand coating and reproduces motility of immune cells in capillary vessels21,22. Another option is cell migration assay in three-dimensional space23,24 to investigate mechanisms underlying interstitial migration of cells25,26. Overall, we have outlined simple, reproducible, and reliable methods to study dynamic cellular migration events.
The authors have nothing to disclose.
We thank previous and current members of the Kim Lab who have contributed to the development of these protocols over time. Representative data were made possible by P01 AI102851/AI/NIAID NIH HHS/United States and P01 HL018208/HL/NHLBI NIH HHS/United States. This publication was made possible in part by Grant Number T32 GM135134 from the Institutional Ruth L. Kirschstein National Research Service Award.
10 cm dish | Corning | 353003 | or equivalent |
15 mL conical tube | ThermoFisher | 339650 | or equivalent |
1x DPBS | Gibco | 14190144 | without calcium and without magnesium |
6 well plate non-TC treated | Corning | 3736 | or equivalent |
70 µm cell strainer | FisherScientific | 352350 | or equivalent |
ACK lysing buffer | ThermoFisher | A1049201 | or equivalent |
Allegra 6KR centrifuge | ThermoScientific | sorvall 16R with tx400 3655 rotor and bucket | or equivalent |
Beta mercaptoethanol | Sigma | M3148 | or equivalent |
CellTrace Violet | ThermoFisher | C34571 | Or equivalent |
Centrifuge | ThermoScientific | Sorvall ST 16R | or equivalent |
Collagen (IV) | Corning | 354233 | or equivalent |
DeltaT culture dish .17 mm thick glass clear | Bioptechs | 04200417C | |
Dynabeads Sheep anti-Rat IgG | Invitrogen | 11035 | |
DynaMag 15 Magnet | ThermoFisher Scientific | 12301D | or equivalent |
Easy sep mouse T cell isolation kit | Stem Cell | 19851 | |
FBS | SigmaAldrich | F2442-500ML | or equivalent |
Fibronectin | SigmaAldrich | 10838039001 | or equivalent |
Fiji | http://fiji.sc/ | weblink | |
Filter cubes | Nikon or Olympus | ||
GK1.5 | ATCC | TIB-207 | |
HEPES | ThermoFisher | 15630080 | or equivalent |
HQ CCD camera | CoolSNAP | or equivalent | |
ImageJ | http://imagej.nih.gov/ij/h | weblink | |
ImageJ automatic tracking plug in | http://imagej.net/TrackMate | weblink | |
ImageJ manual tracking plug in | https://imagej.nih.gov/ij/plugins/track/track.html | weblink | |
L-15 | Various | See Materials | Medium Recipe: Leibovitz’s L-15 medium without phenol red (Gibco) supplemented with 1-5 g/L glucose |
Liebovitz's L-15 medium, no phenol red | ThermoFisher | 21083027 | |
Luer Lok disposable syringe | Fisher Scientific | 14-955-459 | or equivalent |
Lymphocyte separation medium | Corning | 25-072-CI | or equivalent |
M5/114 | ATCC | TIB-120 | |
MEM Non-Essential Amino Acids | ThermoFisher | 11140050 | or equivalent |
Microscope heating system | Okolab | okolab.com | Custom designs available |
Millicell EZ slide | Millipore | C86024 | |
Mojosort mouse CD8+ Naïve T cell isolation kit | Biolegend | 480043 | |
Mouse E-cadherin | R&D systems | 8875-EC-050 | or equivalent |
Mouse surgical dissection kit | Fisher Scientific | 13-820-096 | or equivalent |
NIS elements | Nikon | Software | |
non-TC 24wp | Corning | 353047 | or equivalent |
Penicillin-streptomycin | ThermoFisher | 15140122 | or equivalent |
Protein A | ThermoFisher Scientific | or equivalent | |
R9 | Various | See Materials | Medium Recipe: RPMI 1640x supplemented with 10 % FBS, 1 % antibiotic-antimycotic (Gibco), 20 mM HEPES buffer (Gibco), 1 % MEM Non-Essential Amino Acids (Gibco), 50 μM β-mercaptoethanol (Sigma-Aldrich) |
Recombinant mouse ICAM-1 Fc chimera | R&D systems | 796-IC-050 | or equivalent |
Recombinant Mouse IL2 | Biolegend | 575410 | or equivalent |
RPMI 1640x | ThermoFisher | 11875093 | or equivalent |
T pins | Fisher Scientific | S99385 | or equivalent |
TE2000-U microscope | Nikon | or equivalent | |
Various recombinant mouse chemokine | R&D systems | or equivalent | |
VCAM-1 Fc chimera | R&D systems | 643-VM-050 | or equivalent |
Volocity | PerkinElmer | Software |