Method Article
This study provides a protocol for evaluating the interaction of Mycobacterium tuberculosis with the SLAMF1 microbial sensor. The assays were conducted on human monocyte-derived macrophages using flow cytometry and fluorescence microscopy. The described tools are relevant for studying interactions between pathogens and immunoreceptors.
The evaluation of direct interaction between pathogens and immune receptors usually involves sophisticated techniques or implies the use of transgenic strains and genetically engineered cells. Here, an alternative method to detect biochemical interaction between the macrophage microbial sensor SLAMF1 and Mycobacterium tuberculosis is described. Two technical approaches employing flow cytometry and fluorescence microscopy were developed. Total cell protein extracts from human macrophages were generated, then incubated with whole cells of M. tuberculosis (WCMtb) or M. tuberculosis antigens (Mtb Ags) overnight at 4 °C and finally cross-linked using formaldehyde/glycine/ethylene glycol bis (succinimidyl succinate) treatment. SLAMF1 interaction with WCMtb by flow cytometry was detected with a PE-specific anti-SLAMF1 antibody. The existence of interaction by fluorescence microscopy was performed by attaching Rhodamine-PE stained Mtb Ags to poly-D-lysine coated slides, which were incubated with the total protein extract from monocyte-derived macrophages. After cross-linking treatment, SLAMF1 was visualized using primary (anti-SLAMF1) and secondary (Alexa Fluor 488) antibodies. The assays provided a strong biochemical tool to measure pathogen-immunoreceptor interactions, overcoming the difficulties associated with transgenic cell lines and protein gene expression modulation experiments.
Mycobacterium tuberculosis, the Tuberculosis-causative pathogen identified 142 years ago, remains a global challenge, currently infecting at least a quarter of the world's population1. Transmitted through airborne droplets from infected people, M. tuberculosis reaches alveolar macrophages in the lungs where it can survive for long periods in a latent state2,3. Not only is the local macrophagic response activated, but in recent years, it has been described that peripheral monocytes can be recruited to the respiratory tract and differentiate into alveolar macrophages, generating an even more robust response against M. tuberculosis than their counterpart of fetal origin2,4.
Macrophages are fundamental players of innate immunity. Upon M. tuberculosis ingestion, macrophages display numerous microbicidal functions, such as the secretion of proinflammatory cytokines, the fusion of the phagolysosome, and the activation of other immune cells in order to kill M. tuberculosis2,3. However, the complex architectural structure of this pathogen provides effectors (e.g., proteins and lipids) capable of regulating macrophage metabolism and functions and, in consequence, the inflammatory process3. This manipulation of macrophage responses, through the secretion of virulence factors or the exploitation of host factors, leads to different escape strategies exerted by M. tuberculosis. Some key evasion mechanisms include induction of anti-inflammatory cytokines, inhibition of phagolysosome maturation and acidification, oxidative stress alterations, autophagy disruption, and deficiencies during antigen processing and presentation3,5.
A tightly regulated interaction between macrophages and M. tuberculosis is crucial for the development of a proper immune response. Therefore, studying these synapses is key to identifying immunoprotective or immunopathogenic mechanisms induced by host-pathogen crosstalk, as well as identifying potential therapeutic targets. Many receptors mediate the recognition and/or internalization of M. tuberculosis, including TLRs6,7,8, NLRs7,8, complement receptors6,8, C-type lectin receptors6,8, and scavenger receptors6,8. Accumulating data indicate that both surface-bound and intracellular PRRs play an important role during infection, recognizing opsonized and non-opsonized M. tuberculosis.
Zihad and Sifat et al. have recently reviewed the participation of the PRRs in M. tuberculosis-induced responses by innate cells9. In particular, most members of the TLR family have been implicated in the interaction with M. tuberculosis ligands6,7. Surface TLR2 recognizes mycobacterial antigens such as acylated lipoproteins, 19-kDa lipoprotein, LprA lipoprotein, LprG lipoprotein, 30-kDa antigen, 38-kDa antigen, MymA, proline-proline-glutamic acid (PPE)-57, LAM, LM, PIM, heat shock protein 60, signature protein Rv1509 and the secreted protein ESAT-67. Membrane TLR4 interacts with heat shock proteins, 38-kDa antigen, RpfE, Rv0652, Rv0335c, Rv2659c, Rv1738, Rv2627c, Rv2628, GrpE, and HBHA. On the other hand, ligands for endosomal TLRs (TLR 3, 7, 8, and 9) include dsRNA, tRNA, ssRNA, phagosomal RNA, and dsDNA of M. tuberculosis. In addition, TLR2 has an active role in initiating immune responses when acting in conjunction with TLR1 and TLR6, TLR4, and TLR96,7. NOD2 and NLRP3 are the most well-characterized cytoplasmic NLRs in Tuberculosis. Although their specific ligands remain under study, these receptors are activated by muramyl dipeptide or ESAT-6, respectively7,8. C-type lectin receptors are classically involved in M. tuberculosis endocytosis. While Dectin-2 acts as a direct PRR for ManLAM of M. tuberculosis cell wall, the Dectin-1 ligand has not been discovered yet8. Mincle and MCL both recognize the glycolipid trehalose-6,6′-dimycolate (TDM), also called the cord factor7. DCAR interacts with the mycobacterial glycolipids phosphatidyl-myo-inositol mannosides (PIMs)7. CR3 recognizes mycobacterial LAM and PIM, DC-SIGN ligates ManLAM, MR recognizes a number of M. tuberculosis components, including ManLAM, PIM, LM, 38-kDa glycoprotein, 19-kDa antigen, and other mannosylated proteins while DCIR ligand is still unidentified.
Soluble CLRs include SP-A, which recognizes ManLam, LM, 60-kDa glycoprotein, and glycoprotein Apa; SP-D interacting with LAM, LM, and PILAM; and MBL, which specializes in ManLAM recognition6,7. Scavenger receptors are also phagocytic PRRs. SR-A and MARCO have TDM as their ligand, SR-B1 recognizes ESAT-6, and CD36 binds ManLAM and LM7,8. Additionally, Dectin-1, Mincle, and MARCO can also combine with TLR2 or TLR4 to trigger signals after detecting M. tuberculosis PAMPs6,7. CD14 is a surface receptor that has the ability to internalize nonopsonized bacteria and also recognizes the heat shock protein Chaperonin 60.1. In particular, CD14 functions as a co-receptor along with MARCO and TLR26. AIM2 is a cytosolic receptor that can sense ssDNA upon M. tuberculosis escapes from the phagosome8. Finally, AhR is a ligand-activated transcription factor that binds pigmented virulence factor naphthoquinone phthiocol from M. tuberculosis6.
Many of the interactions described above have been postulated and not strictly demonstrated. Even the ligands for certain receptors remain unknown, which reinforces the need to better understand the field of M. tuberculosis immunorecognition. In this context, the costimulatory molecule SLAMF1 (Signaling Lymphocytic Activation Molecule) has been recently described as a M. tuberculosis receptor by Barbero et al.10. By acting not only as a signaling molecule but also as a M. tuberculosis sensor, SLAMF1 has a particularly intriguing role in Tuberculosis. SLAMF1 can induce the activation of immune cells by modulating protective functions such as the production of IFN-γ by T cells through Erk/CREB phosphorylation11,12,13, autophagy in neutrophils14, and bacterial clearance in macrophages15.
Receptors-ligand interactions have been studied over the years using techniques such as ELISA, Surface Plasmon Resonance (SPR), Isothermal Titration Calorimetry (ITC), Fluorescence Polarization (FP), X-ray Crystallography, Nuclear Magnetic Resonance (NMR) Spectroscopy, Microscale Thermophoresis (MST), Resonance Energy Transfer (e.g., BRET or FRET) Confocal Microscopy, Electron Microscopy, Cryo-Electron Microscopy (Cryo-EM) and Atomic Force Microscopy (AFM)16,17,18,19,20,21,22,23,24,25,26,27,28. Some of these approaches imply the use of reporter genes, labeled recombinant proteins or chimeric molecules, knockout, knockdown, or overexpression models. Alternatively, computational tools can predict receptor-ligand interactions and binding sites and are often used in combination with biological approaches to gain a comprehensive understanding of the interactions29,30,31. Here, two alternatives to detect biochemical interaction and also a section on how to fluorescently label bacteria are described. A protocol that allows the study of receptor-pathogen interactions in vitro is presented, particularly evaluating the SLAMF1-M. tuberculosis engagement through flow cytometry and fluorescence microscopy, two usually available and routinely used techniques.
All procedures involving human monocyte-derived macrophages were performed in accordance with the Helsinki Declaration (2013) and in agreement with the Ethics Committee of UNNOBA (COENOBA). Written informed consent was obtained prior to sample collection. The male/female group distribution was 13/6, and the median age was 32 years, with an interquartile range (IQR) of 18-75 years. The presence of previous pathologies, comorbidities, or a positive diagnosis for Tuberculosis were defined as exclusion criteria. The details of the reagents and equipment are listed in the Table of Materials.
1. Monocyte-derived macrophage culture and stimulation
2. Total cell protein extract preparation
3. M. tuberculosis -SLAMF1 interaction by flow cytometry
4. M. tuberculosis antigens labeling
5. M. tuberculosis -SLAMF1 interaction by fluorescence microscopy
In this work, a protocol that allows the evaluation of M. tuberculosis interaction with the immune receptor SLAMF1 in human macrophages is provided (Figure 1). To this end, peripheral blood from healthy donors was obtained. Then, PBMCs were separated by centrifugation over the density gradient media, and the monocytes were isolated by magnetic positive selection (≥95% purity, Figure 2A,B). The isolated monocytes were adhered to plastic culture plates for 2 h to obtain monocyte-derived macrophages and then cultured ON. Afterward, macrophages were stimulated with sonicated M. tuberculosis (Mtb Ags) to induce SLAMF1 surface expression as reported before10, and surface SLAMF1 levels were confirmed by flow cytometry (Figure 2C). The macrophages were finally lysed using RIPA lysis buffer combined with vortexing and incubation on ice to facilitate cell lysis. The total protein extract generated was used in the interaction assays.
In the first set of experimental procedures, flow cytometry was employed to study SLAMF1 interaction with whole cells of M. tuberculosis (WCMtb) (Figure 3). First, the physical interaction between SLAMF1 (content in the protein extract) and WCMtb was promoted by incubating them together ON in continuous rotation at 4 °C. Cross-linking treatment was then performed and, by using a specific anti-SLAMF1 antibody, the SLAMF1 receptor that was bound to WCMtb was detected. In this assay, WCMtb alone was used to set the voltages corresponding to the size and granularity of M. tuberculosis in the flow cytometer, which was the population of interest in which to detect SLAMF1 binding.
In the second experimental approach, fluorescence microscopy was employed to detect SLAMF1-M. tuberculosis interaction (Figure 4). This assay, in which sonicated M. tuberculosis (Mtb Ags) was used, complements the previous one. Rhodamine B-stained Mtb Ags (Mtb-R Ags) were used to facilitate fluorescence detection in the channel/filter corresponding to the PE fluorochrome. Mtb-R Ags were attached to poly-D-lysine coated coverslips, and the successful staining was checked by microscope observation (Figure 4A). Thereafter, the slides coated with Mtb-R Ags were incubated with the protein extracts containing SLAMF1. After cross-linking treatment, SLAMF1 was detected by using a primary specific anti-SLAMF1 antibody followed by a secondary antibody coupled to a compatible fluorochrome to be co-observed with PE. After obtaining individual fluorescent microscopy images in the two channels for Mtb-R Ags and SLAMF1, the interaction was corroborated by image merge (Figure 4B).
Performing these approaches demonstrated the existence of an interaction between SLAMF1 and M. tuberculosis. The crosstalk of SLAMF1 with both whole and sonicated bacteria was detected, which gave strength to the hypothesis that points to SLAMF1 as a new innate human macrophages' receptor for M. tuberculosis10.
Figure 1: Workflow to detect SLAMF1-M. tuberculosis interaction. Peripheral blood was obtained from healthy donors by venipuncture and centrifuged over a density gradient media to isolate peripheral blood mononuclear cells (PBMCs). After determining the number of cells, the PBMCs were subjected to positive magnetic selection to purify CD14pos monocytes. Monocytes were then adhered to culture plates for 2 h in the absence of fetal bovine serum and then cultured overnight in supplemented RPMI (resting step) to obtain monocyte-derived macrophages. Afterward, macrophages were stimulated with sonicated M. tuberculosis (Mtb Ags) for 24 h to induce SLAMF1 surface expression. SLAMF1 levels were tested by flow cytometry using a human anti-SLAMF1 specific antibody in a fraction of the macrophage population. The remaining macrophages were used to obtain total protein extracts. Cell lysis was performed by combining vortexing and incubations on ice in a lysis buffer. Finally, the interaction between SLAMF1 and M. tuberculosis was evaluated by flow cytometry and fluorescence microscopy after cross-linking macrophage proteins with Mtb Ags or whole cells of M. tuberculosis (WCMtb). Please click here to view a larger version of this figure.
Figure 2: Experimental and technical controls. (A) CD14pos monocytes were isolated from PBMCs by positive magnetic selection. The resulting positive (monocytes, blue) and negative (red) cell fractions were evaluated by flow cytometry (SSC-A vs. FSC-A) to confirm a successful selection. (B) The purity of the positive fraction was corroborated by flow cytometry analyzing cell granularity and size (SSC-A vs. FSC-A). (C) Monocyte-derived macrophages were selected by SSC-A vs. FSC-A and then gated to exclude doublets by a double singlets-strategy (FSC-A vs. FSC-H followed by SSC-A vs. SSC-H). SLAMF1 surface expression was evaluated in single cells. In all cases (A-C), representative plots or histograms are shown. Please click here to view a larger version of this figure.
Figure 3: SLAMF1-M. tuberculosis interaction by flow cytometry. Cross-linking between macrophage proteins and whole cells of M. tuberculosis (WCMtb) was performed by treatment with formaldehyde/glycine/ethylene glycol bis, as described in the protocol section. Then, the interaction was evaluated by flow cytometry by detecting a positive SLAMF1 (PE) signal after selecting the population of interest (SSC-A vs. FSC-A). The upper panel shows a positive signal for SLAMF1, comparing the fluorescence minus one (FMO) control (left) with the positive staining (right). The low panel shows the overlay (left, dot plot and right, histogram) between the SLAMF1 signal and FMO control. Please click here to view a larger version of this figure.
Figure 4: SLAMF1-M. tuberculosis interaction by fluorescence microscopy. (A) Mtb Ags were stained with Rhodamine B (Mtb-R Ags) and attached to a round coverslip. The correct adhesion and fluorescence of Mtb-R Ags were corroborated by fluorescence microscopy using filters corresponding to the red channel. (B) Cross-linking between macrophage proteins and Mtb-R Ags was performed by treatment with formaldehyde/glycine/ethylene glycol bis as described in the protocol section by adding the protein extract over the attached Mtb-R Ags. The interaction was evaluated by fluorescence microscopy using a human anti-SLAMF1 antibody followed by Alexa Fluor 488-labeled secondary antibody. The upper micrographs show SLAMF1 (left, green) and Mtb-R Ags (right, red) positive signals. The low micrograph evidences the interaction in yellow (merge of both channels). The scale bars correspond to 10 µm. Please click here to view a larger version of this figure.
This study provides a useful guide for studying the biochemical interaction between M. tuberculosis and microbial sensors expressed in human macrophages, a key cell type involved in the host response during Tuberculosis. The provided protocols will be relevant to decipher molecules that play a role in the entry of M. tuberculosis into phagocytes.
Characterizing bio-molecular interactions, such as that between pathogens and immunoreceptors, is crucial to understanding both immunoprotective mechanisms and evasion strategies elicited by M. tuberculosis. Many times, demonstrating a direct interaction of the receptor with its bacterial ligand can be complex and may demand sophisticated techniques or systems lacking versatility. Driessen et al. studied the role of phosphatidylinositol mannosides in the interaction between Mycobacteria and DC-SIGN using mutant deficient strains of M. bovis BCG32. Although they managed to study these interactions, the authors did not find differences for the mutant strains and discussed that the creation of mutant bacteria that show reduced binding would be an enormous task32. Other authors carried out excellent and laborious work to demonstrate the interaction between TLR2 and some PE/PPE proteins of M. tuberculosis33,34. These studies required the use of knockout mice for the receptor, transfection of cells, and purification of the aforementioned proteins or certain protein domains33,34. In addition, the function of the receptors is often inferred, but the interaction is not reliably demonstrated. An example is the soluble receptor PTX3, for which haplotypes associated with disease outcome have been found, but whose specific interaction with M. tuberculosis has not been strictly studied35. In relation to these shortcomings, our method allows for evaluating the interaction of the target receptor under study with M. tuberculosis in a simple way and with accessible techniques of easy interpretation.
Regarding the previous points, and particularly for SLAMF1, the interactions with OmpC and OmpF from E. coli36 and Omp25 from B. abortus37 have been previously evaluated. Degos et al.37 used COS-7 cells transfected with a plasmid encoding only the extracellular domain of SLAMF1 to then purify SLAMF1 and analyze the interaction with Omp25 by Western blot. They also performed experiments using SLAMF1-/- mice and wild-type B. abortus or an Omp25-defective mutant. Berger et al.36 work also showed compelling evidence for a direct interaction between SLAMF1 and E. coli Omp and S. typhimurium SseB-. They used different approaches, including SLAMF1-/- mice, RAW264.7 macrophages encoding a SLAMF1mCherry construct, and also an amplification assay using SLAMF1-transfected Jurkat T cells. They developed a sensitive signal amplification assay with a luciferase reporter using 1 x 108 E. coli. In this regard, one strength of the biochemical interaction assays presented in this report is that the interaction was actually found by using wild type cells and the same ratio of cells:bacteria used for functional evaluations in a previous work10, without the need to overexpress or abrogate SLAMF1 expression.
The provided protocol entails some critical steps. One of them is the corroboration of the SLAMF1 expression in human macrophages before performing the interaction assays. This is crucial to avoid obtaining a false negative result, which would actually be due to a lack of receptor expression. Here, SLAMF1 levels were checked using flow cytometry since it is a rapid technique that allows obtaining this data in less than 2 h. However, other techniques, such as microscopy or Western blot, could be used. We do not recommend methodologies such as real-time PCR that identify mRNA levels when the ultimate goal is to study a receptor at the protein level. Another fundamental step is the cross-linking stage. The use of crosslinkers seeks to stabilize protein-protein interactions. During the assay based on flow cytometry, we were not able to detect a signal for SLAMF1 without applying the cross-linking step. In the case of the microscopy approach, we have observed interaction without the use of cross-linking treatment but with very low sensitivity. Therefore, the cross-linking step is highly recommended in all cases.
The described protocol provides evidence of interaction between SLAMF1 and M. tuberculosis antigens accessible on the surface of the pathogen, helping to demonstrate that SLAMF1 recognizes a molecular signature present in M. tuberculosis. However, this model shows some limitations. The weak point is that this protocol does not allow us to identify which specific M. tuberculosis antigen is the one that interacts with SLAMF1. Despite this, the protocol could be modified to achieve this end, for example, using purified antigens from the bacteria. Another limitation is the need to know which stimulus induces the expression of SLAMF1 in macrophages. This could imply a complication if the chosen receptor is not expressed in basal conditions or for which the expression pattern is unknown. Finally, these approaches do not discriminate whether SLAMF1 requires other molecules to interact with M. tuberculosis. In this case, immunoprecipitation assays could be performed, or more antibodies could be used in the methodological scheme.
The methodology proposed in this report can be easily adapted to the study of other immune receptors, of the same receptor in other cell types in which it is expressed, or to evaluate interaction with other bacteria or strains of different mycobacteria. Moreover, here, a short and simple protocol is provided to fluorescently stain sonicated M. tuberculosis, a labeling that could be applied to other bacteria and even live strains. However, this procedure focuses on SLAMF1-M. tuberculosis crosstalk, other potential uses include understanding the outcome of a blocked, delayed, or inappropriate interaction, studying evasion mechanisms, or revealing potential molecular targets involved in the recognition of pathogens. Similarly, this protocol could be applied to the study of novel therapeutic strategies and immunotherapies to understand the coevolution of M. tuberculosis and macrophages or other host cells and could also be used in different fields that seek to understand ligand-receptor dynamics.
The authors declare no conflicts of interest.
This work was supported by Universidad Nacional del Noroeste de la Provincia de Buenos Aires (grant numbers SIB 0618/2019, SIB 2582/2012 to V.P.), Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT, grant numbers PICT-2012-2459 and PICT A 2017-1896 to V.P. and PICT-2021-I-INVI-00584 to A.B.); Florencio Fiorini Foundation; and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET, grant number PIO 15720150100010CO to V.P.). We thank Natalia Menite and Gastón Villafañe for the technical support. We acknowledge Dr. Paula Barrionuevo and Dr. Luciana Balboa for the scientific discussion during the publication that gave rise to the development of the assays presented in this work. We finally thank Dr. Estermann for his advice on cross-linking protocols, Lic. Moroni for his advice on working with Poly-Lysine and Lic. Moriconi for his help with schematic figures.
Name | Company | Catalog Number | Comments |
Alexa Fluor 488 secondary antibody | Invitrogen | A21121 | For fluorescence microscopy |
anti-SLAMF1 FITC antibody | eBioscience | 11-1509-42 | For flow cytometry |
anti-SLAMF1 PE antibody | BioLegend | 306308 | For flow cytometry |
anti-SLAMF1 primary antibody | BioLegend | 306302 | For fluorescence microscopy |
Aqua-Poly/Mount | Polysciences | 18606-20 | Mounting media |
CD14 MicroBeads | Miltenyi Biotec | 130-097-052 | For monocytes isolation |
Coverslips 12mm | HDA | - | For interaction assay by microscopy |
EGS | ThermoFisher Scientific | 21565 | For crosslinking treatment |
FACSCanto II | BD Biosciences | 338960 | Flow cytometer with BD FACSDiva software |
Fetal Bovine Serum | Natocor | - | Inactivated and irradiated, for macrophages culture |
Ficoll-Paque PLUS | Cytiva | 17144003 | For PBMCs separation |
Fiji/ImageJ | Open Source software | - | For micrographs analysis |
FlowJo 7.6.2 | Tree Star | - | For flow cytometry analysis |
Formaldehyde | Merck | K47740803613 | For crosslinking treatment |
Glass slides | Glass Klass | - | For interaction assay by microscopy |
Glycine | Sigma | G8898 | For crosslinking treatment |
Imager.A2 | Carl Zeiss | 430005-9901-000 | Fluorescence microscope with Colibri 7 illumination module |
iMark | BIO-RAD | 1681130 | Microplate absorbance reader |
L-glutamine | Sigma Aldrich | 49419 | For macrophages culture |
M. tuberculosis, strain H37Rv, gamma-irradiated whole cells | BEI Resources, NIAID, NIH | NR-14819 | For interaction assay |
M. tuberculosis, strain H37Rv, whole cell lysate | BEI Resources, NIAID, NIH | NR-14822 | For macrophages stimulation and interaction assay |
Neofuge 13R | Heal Force | Neofuge 13R | High Speed Refrigerated Centrifuge for protein extraction |
Penicillin/Streptomycin | Gibco | 15140122 | For macrophages culture |
PMSF | ThermoFisher Scientific | 36978 | For proteins isolation |
Poly-D-Lysine | Sigma Aldrich | A-003-M | For coverslips treatment |
Protease Inhibitor Cocktail | Sigma Aldrich | P8340 | For proteins isolation |
Rhodamine B | Sigma Aldrich | 21955 | For M. tuberculosis staining |
RPMI 1640 | Gibco | 11875093 | For macrophages culture |
Sorvall ST 16/16R centrifuge | ThermoFisher Scientific | 75004240 | For PBMCs and monocytes isolation |
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