Published: Vol 10, Iss 6, Mar 20, 2020 DOI: 10.21769/BioProtoc.3562 Views: 4126
Reviewed by: mohan babuMeenal SinhaLuis Alberto Sánchez Vargas
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Abstract
T follicular helper (Tfh) cells regulate B cell selection for entry into the germinal center (GC) reaction or for differentiation into antibody forming cells. This process takes place at the border between the T and B zones in lymphoid organs and involves physical contacts between T and B cells. During these interactions, T cells endow the B cells with selection signals that promote GC seeding or plasmablast differentiation based on their B cell receptor affinity. In Peyer’s patches (PPs), T cells promote B cell colonization of the subepithelial dome (SED) without effective affinity-based clonal selection. To specifically characterize the T cell population that resides within the SED niche, we performed ex vivo photoactivation of the SED compartment followed by flow cytometry analysis of the labeled cells, as described in this protocol. This technique integrates both spatial and cellular information in studies of immunological niches and can be adapted to various experimental systems.
Keywords: PhotoactivationBackground
Affinity maturation, the process wherein the affinity of serum antibodies towards a specific antigen increases over time, is achieved by selection of B cells bearing high affinity BCRs within germinal centers (GCs). Increase in antibody affinity is mediated through iterative cycles of somatic hyper mutation and affinity-based selection, a process which is orchestrated by T follicular helper (Tfh) cells (Kepler and Perelson, 1993; Oprea and Perelson, 1997; Victora and Nussenzweig, 2012). The GC is comprised of two microanatomical sites; the dark zone, where B cells proliferate and acquire somatic hypermutations, and the light zone, where B cells interact with cognate antigen and T cells. Although intravital imaging techniques were able to define immune cell dynamics in GCs (Allen et al., 2007; Hauser et al., 2007; Schwickert et al., 2007), transition between the GC zones remained in question. This problem was later solved by the generation of mice expressing photoactivatable GFP (PA-GFP) (Victora et al., 2010).
PA-GFP is a GFP variant whose peak excitation wavelength shifts from 415 nm (inactive PA-GFP) to 495 nm (active PA-GFP) upon two-photon irradiation at 830 nm. The non-activated PA-GFP is fluorescent as well, and this property can be used to distinguish between the photoactivated area and the total cells (Patterson and Lippincott-Schwartz, 2002).
The use of mice expressing PA-GFP provided direct evidence for interzonal migration in the GC and for the definition of the major GC exit zone (Victora et al., 2010; Stoler-Barak et al., 2019). Combination of intravital two-photon laser scanning microscopy with in situ photoactivation, allowed the microanatomical labeling of distinct niches within the germinal center, and led to the discovery that T cell help controls the movement between the two GC zones (Victora et al., 2010).
Cell-surface markers are commonly used to define a cell population in a specific niche; however, distinctive markers are not always available, generating a gap between the cellular and spatial information in the studied tissue. Furthermore, unknown cell populations that reside within a specific niche are usually hard to detect and characterize by conventional techniques. To overcome these limitations, photoactivation-based approaches have been used for unbiased identification of tissue-resident immune cells with minimal a priori knowledge of unique cell-surface marker expression. Niche-specific landmarks are often introduced into mice prior to labeling by photoactivation to define the area of interest. For example, adoptive cell transfer of fluorescently labeled B cells mark the B cell area within a tissue and can guide the selection of the region of interest for photoactivation (Medaglia et al., 2017). In the study associated with this protocol and as described here, we specifically photoactivated the subepithelial dome niche within the Peyer’s patch (Biram et al., 2019). This protocol can be adapted to other niches and additional tissues of interest.
Materials and Reagents
Equipment
Procedure
Note: Photoactivation is a time consuming process, therefore it is recommended to evaluate the time necessary for photoactivation of all required niches and analyze a sample size where samples will not wait for more than 3 h for the following staining step. Longer delay in tissue processing might increase the frequency of dead cells and therefore will not contribute to pool of analyzed cells. In the case of the SED photoactivation, ~30 SED regions were photoactivated in each mouse and up to two mice were analyzed a day. In addition, photoactivation can be held on the full PA-GFP mouse, on transferred cells or in chimeras prepared with PA-GFP bone marrow. Heterozygous PA-GFP mice can also be used in this protocol, but homozygous PA-GFP mice generate a stronger GFP signal. In the study associated with this protocol, we generated chimeric mice composed of 90% homozygous PA-GFP bone marrow and 10% AID-GFP bone marrow. AID is expressed by SED and GC B cells, thus AID-GFP was used as a landmark for these compartment.
Notes
Recipes
Data analysis
As previously described, in the work associated with this study (Biram et al., 2019), chimeric mice were used to label the SED and GC compartments. Full flow cytometry analysis of T cell populations is available in the original paper. As shown in the representative plots in Figure 3, photoactivated cells were gated out of single lymphocytes and analyzed according to the markers of interest. In the case of photoactivation of non-chimeric mice, such as the UBC-PA GFP mouse, two populations will appear on the plot: all cells will be V500+ and only the photoactivated cells will appear as V500+ GFP+. When photoactivating a sample of transferred cells, a V500- population will represent the endogenous cell population. Photoactivated cell frequency is relatively low (~1-2%) and for appropriate statistical analysis, it is recommended to record a total of ~2 M cells.
Figure 3. Gating strategy for photoactivated-cells in mouse PPs. Representative flow cytometry plots showing the gating strategy on the PA-GFP cell population in PA-GFP AID-GFP bone marrow chimeras as in Biram et al. (2019). A. Live lymphocytes were gated as shown. B. Doublets were removed using the FSA-A/FSC-width distribution. C. V500 was used to mark all PA-GFP derived cells. Non-photoactivated cells (V500+ GFP-), AID-GFP- cells, AID-GFP+ cells, and photoactivated cells are represented as shown in the plot.
Acknowledgments
Z.S. is supported by the European Research Council (grant No. 677713), Human Frontiers of Science Program (grant No. CDA-00023/2016), Israel Science Foundation (grant No. 1090/18), Azrieli Foundation, Rising Tide Foundation and the Morris Kahn Institute for Human Immunology. Z.S. is a member in the European Molecular Biology Organization Young Investigator Program and is supported by grants from The Benoziyo Endowment Fund for the Advancement of Science, The Sir Charles Clore Research Prize, Comisaroff Family Trust, Irma & Jacques Ber-Lehmsdorf Foundation, Gerald O. Mann Charitable Foundation and David M. Polen Charitable Trust.
This protocol provides details regarding photoactivation and flow cytometry analysis of Peyer’s patch niches as previously described (Biram et al., 2019).
Competing interests
The author declare no competing interests.
Ethics
All experimental procedures have been approved by the Weizmann Institute Animal Care and Use Committee (IACUC) and followed all relevant ethical regulations, IACUC number 00960118-4.
References
Article Information
Copyright
© 2020 The Authors; exclusive licensee Bio-protocol LLC.
How to cite
Biram, A. and Shulman, Z. (2020). Characterization of Immunological Niches within Peyer’s Patches by ex vivo Photoactivation and Flow Cytometry Analysis. Bio-protocol 10(6): e3562. DOI: 10.21769/BioProtoc.3562.
Category
Immunology > Immune cell imaging > Two-photon microscopy
Immunology > Immune cell staining > Flow cytometry
Cell Biology > Cell imaging > Two-photon microscopy
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