Abstract
Antibody affinity maturation occurs in germinal centers (GCs) through iterative rounds of somatic hypermutation and proliferation in dark zones (DZs) and selection in light zones (LZs). GC B cells exit cell cycle a number of hours before entering LZs, therefore continued participation in responses requires they subsequently re-enter cell cycle and move back to DZs, a process known as cyclic re-entry. Affinity enhancements are thought to arise by B cells having to compete to initiate cyclic re-entry each time they enter LZs, with T cell help being determining, however direct proof is lacking. Using Fucci2 mice, we confirmed an association between B cell receptor affinity and the first step of cyclic re-entry, S phase initiation from a resting LZ state. However, neither T cell ablation nor MHCII deletion prevented resting LZ cells from re-entering cell cycle, and this late G1-S transition was also not detectably restricted by competition. In contrast, using BATF induction as exemplar, we found that T cells “refuelled” LZ cells in an affinity-dependent manner that was limited both by competition and cells’ intrinsic antigen-acquiring abilities. Therefore, cyclic re-entry initiation and B cell refuelling are independently regulated in GCs, which may contribute to permitting cells of different competencies to be sustained alongside each other and allow T cell support to be provided across a dynamic range commensurate with affinity. We speculate that this less binary selection mechanism could help GCs nurture complex antibody maturation pathways and support the clonal diversity required for countering fast evolving pathogens.
Introduction
Antibody affinity maturation occurs in germinal centers (GCs) through iterative rounds of somatic hypermutation (SHM) and clonal selection (1–3). This generates bespoke antibodies that are more potent than their germline counterparts and can fill functional holes in antibody repertoires. GCs form in B cell follicles of draining secondary lymphoid tissues following infection or immunisation and quickly polarise to contain two distinct compartments, known as light zones (LZs) and dark zones (DZs), that GC B cells move back and forth between. The movement of B cells between zones is associated with changes in phenotypic and behavioural states (4, 5). As such, the distribution of tasks is separated, with SHM and proliferation occurring mostly in DZs and positive clonal selection in LZs (6–8).
The selection mechanisms that shepherd antibody affinity enhancements in GCs have been intensively researched. Popular models are based around the central concept, first proposed >25 years ago (7), that GC B cells must compete in an affinity dependent manner to undergo cyclic re-entry each time they enter LZs (1–3). Fast dividing DZ cells exit cell cycle a number of hours before entering LZs (6, 9, 10), and cyclic re-entry may be defined by resting LZ cells re-starting cell division (S phase entry) and subsequently moving back to DZs. The majority of cells (70-90% (11)) are thought to fail this selection checkpoint, and consequently apoptose (2, 3, 8, 12). As such, while GC B cells move bi-directionally, a strong DZ to LZ bias exists (4).
A key requirement of GC B cell selection is that relative B cell receptor (BCR) affinities for cognate antigen are measured and compared. This was originally suggested to involve direct competition for antigen access (7, 8), however imaging-based studies seemingly disproved this because prolonged GC B-follicular dendritic cell (FDC) contacts, such as those that would block antigen access, were not observed (9). Stable GC B cell-T cell interactions were found to be relatively rare, which instead suggested the possibility that competition occurs at this step (13). Higher affinity B cells are expected to capture more antigen from FDCs and thereby display more peptide-MHC class II (pMHCII) complexes to limiting numbers of follicular helper T (Tfh) cells (14), which in turn may distract them from neighbouring B cells. This hypothesis was later supported by studies in which loading of GC B cells with exogenous peptide strongly promoted DZ accumulation and conferred a striking participation advantage (4). Collectively, these findings suggested that antibody affinity enhancements may be favoured by Tfh cells preferentially selecting the highest affinity B cells to undergo cyclic re-entry each time they enter LZs. We now also know that, among those cells making it back to DZs, higher affinity cells also receive a stronger dose of help which leads to higher or more sustained expression of key cell cycle regulators such as c-Myc and cyclin D3, which facilitates more and faster DZ cell division (15–19).
However, several concerns remain. A selection mechanism that is overly stringent towards affinity risks biasing antibody responses towards a small number of readily-targeted or highly abundant epitopes that will not necessarily always represent key sites of vulnerability. HIV provides a good example of this because primary repertoire antibodies usually do not bind conserved neutralizing sites with close to functional affinities, and extensive maturation is required (20). Moreover, pathogens will often escape neutralizing responses unless multiple distinct sites are targeted in concert, as is evident for SARS-CoV-2 (21). A such, the preferential expansion of high affinity B cells should not come at the expense of clonal diversity (3). Direct proof that GCs are indeed permissive to differing affinity B cells was recently provided when antibodies derived from single GC B cells were compared (22, 23). Such observations are hard to explain using models where most (lower affinity) cells are cleared from responses each time they enter LZs.
Prompted by these concerns, we aimed to test key assumptions of cyclic re-entry models. The first step of the cyclic re-entry process is the initiation of S phase by resting G1 LZ cells (herein referred to as cyclic re-entry initiation), therefore we assessed what inputs cells need for this to occur. Surprisingly, our findings exclude T cell help as being acutely limiting, or even necessary, for driving this event because it still occurred both when they were ablated from ongoing responses as well as when MHCII was inducibly deleted from GC B cells. These findings led us to ask whether this step is instead restricted by competition for other limiting factors such as antigen access, but we also failed to find evidence for that. Instead, we found that cyclic re-entry initiation and GC B cell metabolic refuelling, i.e., the induction of biochemical pathways required for DZ maintenance and that control cell division capacity, are independently regulated, with the latter being provided by T cells in an affinity-dependent manner that is restricted by both competition and a cell’s intrinsic ability to acquire antigen. We propose that this less binary selection mechanism contributes to allowing both fast and slow maturing antibodies to evolve alongside each other without excessively repressing each other’s potential.
Results
Cyclic re-entry initiation can occur independently of cognate T cell interactions
To test the assumption that T cells are essential and limiting for cyclic re-entry initiation by LZ cells, approaches were established for tracking this event in vivo and for temporally perturbing B-T interactions. Cyclic re-entry is defined by LZ cells entering back into cell cycle from a resting late G1 state and subsequently moving back to the DZ phase, however we focussed only on the first and most tractable of these steps; cyclic re-entry “initiation”. R26p-Fucci2 mice carry a constitutively expressed bicistronic transgene consisting of mVenus-hGem(1/1 10) and mCherry-hCdt1(30/120) (24). Cells from these mice start accumulating mVenus protein as they enter S phase, with it then being rapidly degraded at mitosis (Fig. 1A, B). Post-mitotic cells start their lives as double negative (mVenusneg mCherryneg), but accumulate mCherry protein from thereon until the G1-S checkpoint. mCherry degradation then begins, with completion by mid-S. Consequently, it is possible to identify both a cell’s cell cycle stage and the relative time it spent in that phase. The fidelity of this model for GC B cells was demonstrated previously (10), and confirmed here (Fig. S1A–C); EdU incorporation is restricted to mVenus+ S phase cells, while post-mitotic cells become brighter for mCherry with time post-EdU labelling due to protein accumulation during G1. Following mitosis, DZ cells either re-enter S phase a relatively short period later and remain in that zone (10, 15), or they rest for longer periods then downregulate CXCR4 and transition to their LZ state (~8hrs after S phase) (6, 10). Therefore, resting LZ cells display higher mCherry levels than DZ cells (Fig. 1C). LZ cells initiating cyclic re-entry in Fucci2 mice are identifiable by their entering early S phase (mVenuslow) from a late G1 stage (mCherryhigh). Cyclic re-entry initiation is distinct from “inertial” S phase entry in DZs (25), which occurs at earlier G1 stages.
Fucci2 mice were bred onto a T cell-deficient background (R26-Fucci2 Tcrb/d-/-mice). While GCs do not usually develop in such animals, their establishment could be supported by the adoptive transfer of T cells prior to immunisation with sheep red blood cells (SRBCs) adjuvanted with lipopolysaccharide (LPS) (Fig. 2A-C). The transferred T cells expressed a diphtheria toxin receptor (DTR) (from CD4-Cre+ R26-loxp-stp-loxp-DTR mice), thereby allowing them to be efficiently and specifically eliminated from established responses (Fig. 2A-D). T cell ablation is maximal within <24hrs of diphtheria toxin (DT) treatment (26), therefore GC B cell responses were analysed at 48hrs. This adoptive transfer model suffered from variable response magnitudes which may mask subtle differences, however there was no detectable change in GC B cell frequencies by this time point (Fig. 2E). Despite a paucity of Tfh cells, LZs in DT treated animals contained very clear populations of cells initiating S phase from a late G1 state, with no detectable differences relative to no DT controls (Green gates/plots, Fig. 2F, G), and normal frequencies reaching S-G2-M stages while still in that zone (Dashed orange).
T cell ablation was efficient but not absolute, and certain regulatory inputs may be lacking or abnormal in T cell-deficient GCs. Therefore, to corroborate these findings, an approach for deleting MHCII from subsets of GC B cells during ongoing responses was established. To this end, we reconstituted lethally irradiated mice with bone marrow (BM) cells expressing a tamoxifen regulatable Cre, “floxed” MHCII (I-Ab, H2-Ab1) alleles (hereafter referred to as MHCIIfl/fl) and the Fucci2 reporter (R26-CreERT2+ MHCIIfl/fl Fucci2 CD45.2) alongside “WT” Fucci2 CD45.1 control cells at a ratio of ~60:40 (27, 28). Tamoxifen treatment of SRBC immunised chimeric mice led to rapid deletion of MHCII from a fraction of splenic GC B cells within <24hrs (Fig. 3A), consistent with expectations (29). The inability of MHCII-deleted GC B cells to present peptide antigen was confirmed by performing similar MHCII-deletion experiments but using HEL-specific SWHEL GC B cells (Cd79a-CreERT2+ MHCIIfl/fl B cells, transferred into WT hosts and immunized with HEL3x-SRBCs/LPS) and incubating them ex vivo with HEL-EaGFP (containing Ea52-68 peptide) or HEL-BSA conjugates for 2hrs prior to staining with the I-Ab[Ea52-68] complex-specific Y-ae monoclonal antibody (Fig. 3B) (30), as well as by assessing activation marker expression by OVA-specific OT-II T cells after co-culture with FACS sorted polyclonal MHCII-deleted (and control) LZ cells loaded with exogenous cognate peptide antigen (Fig. S2A).
We next assessed cyclic re-entry initiation by MHCII-deleted cells in the immunised mixed BM chimeras, with comparisons made to paired WT cells. At 24hrs post-tamoxifen, no reductions in the proportions of cells initiating S phase were observed for MHCII-deleted LZ cells (Fig. 3C, D, green gates/points); there was in fact a small increase, which probably reflects MHCII being more stable in certain quiescent subsets such as pre-memory cells that reside in LZs for longer (31–33). By 48hrs, modest reductions in cyclic re-entry initiation by MHCII-deleted LZ cells were evident, with slightly larger impacts seen at late S-G2-M phases (orange gates/points). This difference relative to the non-competitive T cell ablation setting, where no defect was seen (Fig. 2), may reflect the better sensitivity and/or competitive nature of this assay, the kinetics post-intervention, or differences in the regulatory environment. Possible explanations for the larger effect at late cell cycle stages include changes in the LZ-DZ transition rate and/or differences in cell cycle progression. Despite these issues, it was striking that large fractions (seemingly the majority of normal numbers) of MHCII-deleted LZ cells continued to initiate S phase despite lacking the essential machinery for cognate B-T interactions (and while being surrounded by MHCII+ competitors). Cyclic re-entry initiation was even still evident at days 4 and 6 post-tamoxifen (Fig. S2B). Consistent results were obtained using alternative methods for identifying early S phase cells (temporally separated EdU/BrdU double labelling, Fig. S2C, D), as well as following immunisation with a different immunogen (NP-KLH/alum, 2.5 day post-tamoxifen time point) using EdU to identify total S phase cells (Fig. S2E), thereby confirming that the effect was not specific for the Fucci2 reporter, the time points or the immunisation type. Additionally, back-gating confirmed that MHCII-deleted early S phase cells were bona-fide LZ cells rather than contaminating DZ cells (Fig. S2F); this conclusion was also supported by “cyclic re-entry” cells having LZ-like mCherry intensities (Fig. 3C). Finally, the unlikely possibility that these effects were caused by mismatched I-Aa and I-Eb heterodimer expression (the H2-Ea gene, encoding I-Ea, is inactive in 129X1/SvJ mice from which the MHCII locus derives)(34), was excluded by assessing cyclic re-entry initiation by MHCII-deleted SWHEL LZ cells that were supported by OT-II CD4+ T cells (I-Ab-OVA223-239-restricted) in Tcrb/d-/- hosts (Fig. S2G).
A requirement for T cell help for sustaining GC responses is well recognized and this was clearly evident here by tracking frequencies of CD45.2 cells that were MHCII-deleted at the different time points (Fig. S2H, I), alongside participation in the GC (Fig. S2J). Most MHCII deletion (~60%) occurred within the first 1.5 days of tamoxifen treatment (Fig. S2I). Detectable reductions in participation by CD45.2 cells were first apparent at 2 days post-tamoxifen, with major losses occurring after this (Fig. S2J). CreERT2 activity alone caused some loss of GC B cells but this was not the major cause of the GC participation defects (Fig. S2K). The asynchronous kinetics of MHCII losses hindered our efforts to determine with any precision how long “unhelped” cells persist, however the slight reductions in participation that were evident at 48hrs suggest that the periods were probably not more than 1-3 days for most cells (although very small MHCII-deleted populations remained even at 6 days post-tamoxifen).
Together, these results demonstrate that, while cognate B-T interactions are essential for sustaining prolonged participation in GCs, they are not acutely required during a particular zonal visit for LZ B cells to re-enter cell cycle from their resting state, a defining feature of cyclic re-entry initiation.
Cyclic re-entry initiation is not restricted by competition
These surprising findings led us to consider whether cyclic re-entry initiation may depend on GC B cells acutely competing for unknown factors that are not T cell derived, e.g., factors provided by FDCs, or access to antigen. To this end, we tested the role of competition using an approach that was not biased for any single factor, by temporally removing a large fraction of the competing cells from LZs. This was achieved using mixed BM chimeric mice containing a majority of cells expressing a GC-restricted DTR (Aicdawt/cre R26-loxp-stp-loxp-DTR mice), and a smaller fraction of cells from Fucci2 donors (DTR-negative). If initiating cyclic re-entry is restricted by competition, rates of cyclic re-entry initiation should increase when competition is removed (Fig. 4A). Alternatively, a finding that cyclic re-entry initiation rates do not change would suggest that this process is not acutely limited by cells successfully competing for selection cues.
Delivery of DT to chimeric mice at day 7 post-immunisation caused the elimination of large fractions of the DTR+ population within 8hrs, with no significant further loss occurring later (Fig. 4B, left plot). Overall GC B cell frequencies decreased from ~6% of B220+ cells to <2%, therefore ~2/3 of the competition was relieved (Fig. 4B, right plot). Importantly, the effect was specific for DTR+ GC B cells because the frequencies of DTRneg (Fucci2+) GC B cells was not impacted (Fig. 4B, center plot). Quantitation of GC areas confirmed an overall reduction in GC sizes as opposed to some GCs being preferentially lost (Fig. 4C, D).
A short rest period following DT treatment was provided for potential competition-restricted selection to occur, then cyclic re-entry initiation was measured at 12hrs. Despite facing only ~1/3 the normal competitors, LZ cells were no more likely to initiate cyclic re-entry in DT treated animals (Figs. 4E-G). Similar results were obtained at a slightly later time-point (15hrs) when the 30-minute BrdU-labelling approach was used for identifying S phase cells (Fig. S3A-C). As such, the presence of competition was not acutely restraining this aspect of cyclic re-entry initiation. The partial ablation of GC B cell populations caused increases in the GC Tfh:B cell ratios (Fig. S3D-F, with GC-type Tfh defined by higher CXCR5 and PD1 staining intensity), and led to a higher density of PD1+ cells within GCs (Fig. 4H-I). As such, these results also corroborate those from Figs. 2, 3 in terms of T cell numbers not being acutely limiting for S phase initiation. Finally, we also confirmed that LZ cells do not show evidence of competing directly for antigen access because no detectable increases in Nur77-GFP accumulation were evident when using Nur77-GFP cells (35), alongside DT-expressing cells (Fig. S3G, H).
High BCR affinity is associated with cell cycle initiation in GC light and dark zones
Cyclic re-entry models predict that high affinity cells should be most prevalent within LZ populations that are initiating cyclic re-entry. Our findings had revealed cyclic re-entry initiation to be relatively insensitive to acute changes in T cell numbers, MHCII deletion and to competition, however it remained possible that it occurs when cells reach certain BCR signaling thresholds and that this favors high affinity cells. We therefore tested whether an association between BCR affinity and cyclic re-entry initiation exists. Small populations of SWHEL Fucci2 B cells were transferred into WT recipients that were subsequently immunised with SRBCs decorated with recombinant HEL3x. HEL3x is a modified HEL protein to which SWHEL B cells affinity mature in GCs (~80-fold affinity increases through acquisition of a Y53D mutation) (36). Although heterozygous SWHEL donor mice contain both HEL-specific and non-specific B cells, using this antigen-specific immunization regimen only HEL-specific cells enter GCs. Therefore, SWHEL GC B cells that have improved their affinities through SHM can be identified by staining with fluorescently labelled HEL3x.
The frequencies of late G1 and early S phase LZ SWHEL cells that were HEL3x-bright (high affinity) were determined on days 8 or 9 post-immunisation (Fig. 5A). Mice immunised with HELwt-SRBCs provided HEL3x staining controls. HEL3x-bright cells were enriched within the early S phase LZ population, confirming that high affinity cells are more likely to initiate cyclic re-entry. However, this effect was not unique to the LZ; in fact, similar or marginally greater (non-significant) affinity enrichments were observed within subsets of DZ cells that were entering S phase (Fig. 5B-C). Therefore, the association between BCR affinity and cyclic re-entry initiation may reflect the cells being in a more actively dividing state rather than them having been preferentially recently selected.
Finally, we also explored the possibility that, while T cell interactions may not be acutely required for initiating cyclic re-entry, they might still be directly responsible and necessary for the higher affinity cells being favored at this step. However, similar associations between affinity and cyclic re-entry initiation were evident irrespective of whether the LZ cells examined were MHCII+ or MHCII-deleted when similar experiments were performed using SWHEL Cd79a-CreERT2 MHCIIfl/fl B cells (Fig. 5D), seemingly excluding that direct instruction by T cells was the sole cause of the enrichment.
In summary these results support that high affinity B cells are more likely to initiate cyclic re-entry from LZs, but also demonstrate that this does not directly depend upon them preferentially being selected by T cells during a given LZ visit.
Light zone GC B cells compete for T cell derived refuelling cues
Our findings were not readily explained by simple T cell-dependent cyclic re-entry-based models for affinity maturation, therefore we explored other possible mechanisms. Beyond their previously assumed role in controlling cyclic re-entry initiation by LZ cells, T cells can determine DZ GC B cell division capacity depending upon the dose of help afforded (15–19). However, one conceptual concern is that it may be difficult for T cells to dose help across a dynamic range if cyclic re-entry initiation is triggered through the same pathways when cells reach a stringent, competitive signaling threshold. One might predict this would cause all cells to return to DZs with the same or similar division capacities. Our new findings provided a possible solution to this problem, therefore we investigated whether T cells may drive antibody affinity maturation by preferentially metabolically “refuelling” B cells (i.e., by inducing pathways required for DZ sustenance and controlling proliferative capacity), rather than being necessary and limiting for cyclic re-entry initiation. To start, we asked whether B cells demonstrate evidence of restricting each other’s access to refuelling from T cells at physiological presentation levels, a key requirement of competition.
A method was required for identifying recently helped (or refuelled) cells directly ex vivo. Guided by published findings (37), we determined that BATF is induced in GC B cells in an MHCII and CD40L dependent manner (Fig. 6A-B, S4A-B), providing a convenient measure. These findings also further validated that experimental MHCII-deletion prevents functional T-B interactions as early as 24hrs after tamoxifen treatment. High BATF expression in the GC was restricted mostly to LZ cells, consistent with
this being the site of positive selection (Fig. 6C) (37). In line with an earlier report (38), optimal c-Myc protein expression (number of positive cells and expression level per cell) also required MHCII expression (Fig. S4C-E), while residual MHCII-independent c-Myc expression (but not cyclic re-entry initiation, Fig. S4F) was highly sensitive to chemical Btk-inhibition (ibrutinib treatment), suggesting likely BCR signaling involvement. Interestingly, Ibrutinib partially mimicked genetic Syk deletion (38, 39), in reducing LZ sizes (Fig. S4G). Small populations of BATFlow IRF4high cells were also evident in MHCII+ but not MHCII-deleted populations (Fig. 6A), however we believe these represent mixes of pre-plasma cells and contaminating plasma cells that may have delayed MHCII turnover rates due to lower March1 expression (Immgen.org) (26, 29).
We initially planned to test the impact of competition by deleting MHCII from competitor cells, however tamoxifen treatment alone caused BATF increases (example evident in Fig. 6B, similar findings were reported for c-Myc (17)). We therefore returned to the partial GC ablation strategy (as in Fig. 4). 15hrs post-DT treatment, the frequency of BATFhigh CD45.1 WT LZ cells was increased by ~1/3 (mean 14.4% vs 10.6%) when competition was relieved by ~70% (Fig. 6D-E, S4H-I), supporting the concept that competition between GC B cells restricts T cell access, even at physiological pMHCII presentation levels. The relatively modest changes in BATFhigh cell frequencies (~36%) compared to the level of competition relief provided (~70% reduction) led us to test whether similar changes would occur when smaller fractions (~50%) of the competitors were removed, but again increases in BATFhigh cell frequencies were evident (Fig. S4J, K). Despite this, however, our findings also argue for a more complex situation in which the local availability of antigen, and by inference the intrinsic ability of B cells acquire it, also play major roles in determining amounts of refuelling received because simply injecting extra antigen one day before analysis caused striking increases (a doubling) in the frequencies of BATFhigh LZ cells (Fig. 6F, Fig. S4L) (without increasing cyclic re-entry rates, Fig. S4M).
Finally, we confirmed that high affinity GC B cells were more likely to succeed in receiving T cell support, because BATF induction was associated with BCR affinity in SWHEL LZ populations (Fig. 6G, H). Together, these results support the concept that T cells, while not acutely required for cyclic re-entry initiation, instruct various critical molecular pathways in GC B cells in an affinity-dependent manner that reflects how efficiently a B cell gathers antigen as well as how it competes with cohabiting B cells. Consistent with this, early S phase LZ populations were enriched with BATFhigh cells but also contained others (a majority) in which BATF had not been detectably induced (Fig. 6I, J).
Lower affinity GC B cells spend longer in light zones before initiating cyclic re-entry
We noted that, where cyclic re-entry initiation was tracked in Fucci2 mice, LZ cells entered S phase from a range of mCherry levels spanning ~½-log (e.g., Fig. 1C), suggesting that cells may spend differing amounts of time “resting” in LZs. Using the same EdU pulse-chase approach described earlier (Fig. S1), we validated this interpretation because mCherry intensities in early S phase LZ populations faithfully reflected time post-mitosis (Fig. S5A, B). These experiments also provided quantitative information about how long cells remain in G1 prior to initiating cyclic re-entry, with the “earliest” LZ cells entering S phase within just ~10hrs of last replicating their DNA, and >60% of cells doing so within 15hrs (Fig. S5C). Given that GC B cells mostly downregulate CXCR4 for LZ entry ~8hrs after completing their last DZ S phase (6, 9, 10), these results suggest that the “fastest” GC B cells may initiate cyclic re-entry only a small number of hours after that.
To ask whether BCR affinity is associated with LZ rest periods, we again utilized the Fucci2 SWHEL/HEL3x staining approach. LZ cells at the earliest detectable S phase stages were gated using very stringent mVenuslow gates (Fig. 7A) to catch them before mCherry degradation occurs. These populations were further subdivided into lower and higher mCherry fractions, and the frequencies of HEL3x-bright cells were determined (Fig. 7B, C). Strikingly, high affinity cells were enriched within the mCherry-lower (“earlier”)
S phase population (Fig. 7B, C). A graded affinity-dependent effect was apparent when late G1 and early S phase populations were further divided into four subsets (Fig. S5D-F). Consequently, the mCherry-highest (latest) “resting” G1 populations were highly enriched for low affinity cells. These subsets are expected to be enriched for cells that are destined for memory differentiation (31–33, 40). LZs also contain small atypical subsets of cells that seemingly complete mitosis in that zone and remain there for some period (early G1 cells, Fig. 7A, 1C, S1C) (9, 41); whether such cells later rejoin DZs, or instead represent a differentiating subset such as proliferating pre-plasma cells (26) (41) (42), is not clear. A comprehensive overview of associations between BCR affinity/cell cycle stages is provided in Fig. S6A, B.
The described observations suggested that individual LZ cells may be afforded different periods for accumulating antigen and refuelling before initiating cyclic re-entry. It was particularly striking that low affinity cells spend longer resting in LZs because this could contribute to the generation and retention of clonal diversity by providing them more time to accumulate antigen and interact with T cells (albeit with the sacrifice of slight delays in proliferative progression). While tools do not exist for controlling LZ dwell times to test how it impacts T cell-mediated refuelling, “later” cells will benefit most from mechanisms preventing pMHCII turnover at that stage and therefore we believed it important to know whether such pathways directly influence refuelling. CD83 expression in LZ cells stabilizes pMHCII complexes by antagonizing March1-mediated ubiquitination and degradation (29, 43, 44). LZ cells from WT/Cd83-/- BM chimeras were gated using a CXCR4low CD23+ strategy (Fig. 7D) (4), and the frequencies of BATFhigh cells were determined. Consistent with the proposed hypothesis, frequencies of BATFhigh cells were higher among populations that were able to use CD83 for stabilizing MHCII complexes (Fig. 7E). Therefore, spending more time in the LZ state may promote the refuelling of lower affinity cells.
Discussion
Here, we revisited the central tenets that clonal selection in GCs involves B cells needing to compete to initiate cyclic re-entry each time they enter LZs, and that the provision of T cell help is the essential and limiting factor for this. We had expected that LZ cells prevented from forming cognate T-B interactions would fail to leave their resting late G1 state, however neither the depletion of most Tfh cells nor the deletion of MHCII prevented cell cycle entry. This led us to test whether this cyclic re-entry initiation step is restricted by competition for other T cell-independent selection factors, but we also failed to find evidence for this. In contrast, the same perturbations dramatically changed the likelihood of cells upregulating BATF. BATF is an important DZ sustaining transcription factor (37), and a robust molecular marker of having received T cell help. As such, we propose a revised model for GC B cell selection.
The focus of our study was positive selection in LZs, however we consider our revised model from the point of SHM in DZs. The first challenge which newly mutated GC B cells face is to try and re-express a functional surface BCR, with cells failing this step mostly undergoing apoptosis before DZ egress (10, 12). The molecular mechanisms responsible for this “negative” selection event are not yet known, however our SWHEL/Fucci2 tracking experiments further support that BCR affinity is not a determinant, supporting a likely role for tonic signaling (45). The rapid deletion in DZs of these unredeemable clones may be important for allowing LZ positive selection events to be permissive, because it negates the need for an all-or-nothing clearance mechanism. Cells passing this step downregulate CXCR4 and enter LZs in a resting late G1 state, coincident with gene and protein expression changes that reduce SHM, de-repress key signaling pathways and re-tune their cellular machinery for positive selection (4, 29). LZ cells migrate within the immune complex laden FDC network and are provided the opportunity to gather intact antigen and compete to establish a series of short cognate interactions with Tfh cells (9, 46).
GC selection must preferentially expand high affinity B cells at the same time as nurturing polyclonal responses to both immunodominant and subdominant epitopes (2, 3, 47). An important recent discovery was that Tfh cells select LZ cells to proliferate to differing degrees based on the cumulative strength of the help provided (15, 17, 18). This non-binary selection mode may contribute to explaining how clonal diversity is supported, however it also posed a conceptual problem in the context of traditional selection models. If cyclic re-entry initiation is itself triggered by LZ cells reaching certain T cell help signaling thresholds, one might assume that most cells will return to DZs with very similar division capacities (Fig. 8, top). Our new findings resolve this conundrum because we find that cyclic re-entry initiation is regulated independently of the inputs known to determine cellular division capacity (Fig. 8, bottom). Importantly, because this selection mode is non-binary, we also no longer need to assume that all but the very highest affinity (or best competing) cells are purged from responses each time they enter LZs. Our findings clearly showed that cell-cell competition contributes to determining how much help cells receive, even at physiological pMHCII levels, however antigen availability (and by inference BCR affinity) was also limiting. As such, LZ cells acquiring atypical amounts of antigen, e.g., due to affinity enhancing mutations or stochastic encounters with large antigen fragments (2), may be released from their normal constraints and expanded quickly, which we speculate might contribute to the seeding of clonal bursts (22). Throughout this study we have referred to the receiving of T cell help as refuelling (25); this broad term was favored to encompass pathways that control cell division number (e.g. Cyclin D3, c-Myc), as well as others that do not directly regulate cell cycle progression but are required for anabolic growth and sustenance within the DZ (e.g., mTORC1, BATF) (37, 48, 49). It also implies an ability to top up from a partially fuelled state, something we speculate may be possible. Consistent with the proposed model, cells initiated cyclic re-entry refuelled to different degrees (i.e., early S phase LZ cells, only some of which had high BATF levels) even in an unperturbed settings. Prior studies established that c-Myc levels can also vary at this stage (17, 48). Recent mathematical modelling efforts support the importance of separating cyclic re-entry and pro-proliferation regulation (50).
A key unanswered question that arises is what inputs or pathways, if not those provided directly by T cells, determine if and when LZ cells will re-enter S phase? We imagine only two possible mechanisms; either cyclic re-entry initiation occurs when non-competitive, BCR-dependent signaling thresholds are reached, or it is regulated by cell-intrinsic pathways set into play at an earlier time, a form of “inertia”. In support of the former, cyclin D3 is required specifically for GC B cells to pass the G1/S checkpoint in DZs but not LZs (18, 19), arguing that cell cycle initiation can be discernably different in the two zones. Interestingly, the early stages of plasma cell differentiation can sometimes be triggered by BCR-dependent, but T-cell independent, pathways (51), with T cells playing a more qualitative role later on (26). If a similar process determines cyclic re-entry initiation, we must then question why don’t more (or even all) LZ cells re-enter S phase (or trigger plasma cell differentiation) when antigen availability is augmented? One explanation might be that individual LZ cells differ in how they respond to external cues, possibly as a result of differences in signaling circuit connections or epigenetics (26, 52). Our efforts to block BCR signaling in vivo using pharmacological inhibition, while sufficient to reduce c-Myc levels to undetectable levels when combined with MHCII deletion, did not prevent cyclic re-entry initiation. However, it is unlikely that any such chemical block is absolute, therefore definitively answering this question will require new genetic tools. Importantly, if we ultimately find that cyclic re-entry initiation occurs independently of antigen-specific BCR inputs, i.e., the inertia model proves correct, this would mean it is not always an immediate consequence of selection events. Until then, we remain agnostic in regards to these possibilities.
Our study has clear limitations, most notably that we followed a critical but single measure of cyclic re-entry, S phase entry from a resting LZ state. As such, that unhelped LZ cells ultimately return to DZs remains to be proven. For this to occur, GC B cells must activate transcriptional pathways that control the DZ program, most notably FOXO1 (37, 53, 54). Whether this itself depends on specific external activating cues, or instead happens by default when negative regulation by PI3K ceases, is not clear. Other molecular players such as BATF and mTORC1 are also needed for DZ sustenance (25, 37); regarding these, we speculate that unhelped cells may temporarily persist on “reserves” from earlier selection events. For example, most LZ cells have higher than basal BATF levels (compared to Batf-/- controls) (37), and they also maintain DZ-like pS6 levels (that are higher than rapamycin treated controls) even when CD40L signaling is blocked (25). Interestingly, mTORC1 hyperactivation has been shown to sometimes reduce T cell dependence (55). It may also be relevant that GC B cells can sometimes persist for prolonged periods having experienced a only single antigenic encounter (56). However, while we are certainly interested in the fate of unhelped cells, the MHCII-deletion approach described herein in an experimental extreme; how often “normal” GC B cells find themselves completely unhelped (rather than poorly helped) is not clear. Therefore, the more important point to emphasize is that our findings do not support the concept that initiating cyclic re-entry depends on reaching stringent T cell help thresholds, and that this is important because it may help explain how cells undergo this process having been refuelled to varying degrees (17).
An important unexplained finding from our study is that fewer LZ cells initiate cyclic re-entry at late time points after MHCII deletion, despite the process seemingly not being acutely T cell dependent. A trivial explanation would be that T cell help is required for cyclic re-entry initiation, but that “MHCII-deleted” LZ cells lost their surface MHCII proteins only after cyclic re-entry was triggered. However, multiple lines of evidence all but exclude this possibility. Firstly, LZ cells are very unlikely to be afforded sufficient time for this to frequently occur; DZ cells typically downregulate CXCR4 and move into LZs ~8hrs after completing mitosis (6, 9, 10), yet more than half of all LZ cells initiated cyclic re-entry within 12hrs of completing their last division. As such, cells generally spend no more than a few hours in LZs before entering back into cell cycle (and MHCII turnover is slow at that stage (29)). Other arguments include that unhelped cyclic re-entry initiation was evident even at 6 days post-tamoxifen treatment, when MHCII deletion was seemingly complete, and that neither increasing T-B ratios nor providing more antigen, both of which increased T cell mediated refuelling, enhanced cyclic re-entry initiation rates. As such, the issue of why cyclic re-entry initiation rates decrease at later time points remains unresolved. Possible (non-mutually exclusive) explanations include that selection cues received during earlier LZ cycles may influence subsequent steps, or that (while not required) the provision of T cell help can provide a second route of cyclic re-entry initiation for cells that would otherwise remain in G1 (e.g., cells without metabolic reserves). This latter possibility could represent a “have another go” route for response retention, and it might represent an augmented route to clonal expansion for certain higher affinity cells.
A further finding reported herein is that individual LZ cells rest in G1 for different time periods before restarting S phase, with the rest period duration being linked to BCR affinity. On average, high affinity cells initiated cyclic re-entry earlier. We speculate that this may make it easier for lower affinity cells to be refuelled, because they will have more time to collect antigen and engage with T cells. At face value, these observations are at odds with prior findings that enhancing antigen presentation by GC B cells causes temporary pausing in LZs (4), however we suspect that this pausing behaviour may reflect what happens periodically for cells receiving stronger than typical doses of help, possibly prior to them going on to establish clonal dominance (2, 22). We also cannot exclude that strong T cell help may sometimes cause GC B cells to remain in LZs after completing mitosis (41), and that these cells are then among those re-entering S phase at “earlier” time points in the next cell cycle.
In summary, by directly identifying GC B cells initiating cyclic re-entry and testing the minimal requirements for this to happen, we unexpectedly found that this process can occur independently of acutely received T cell-derived selection inputs and appears not to be directly influenced by competition. Instead, our findings support a model in which affinity improvements are favoured by T cells preferentially providing stronger refuelling cues to B cells that express better antibodies. This less restrictive form of selection may act in concert with other phenomenon such as antibody feedback dependent epitope masking (57), bystander cytokine signalling (58), and stochasticity at the point of antigen encounter (2), to enable moderate affinity cells to persist in GCs for longer and ultimately help support the complex antibody maturation pathways, such as those required for HIV broadly neutralising Abs development (20).
Materials and methods
Study Design
The aim of this study was to investigate if competion between GC B cells for T cell help are key and limiting factors determining whether or not GC B cells initiate cyclic re-entry when they enter LZs. The fractions of LZ cells in early S phase were assessed after T cell ablation in Fucci2 T cell deficient mice that had received ablatable T cells by adoptive transfer. Similar assessments were made after MHCII deletion from GC B cells, as well as when competing cells were experimentally ablated (Rosa26-CreERT2+ MHCIIfl/fl/B6.SJLCD45.1 and Aicdawt/cre R26-loxp-stp-loxp-DTR/ B6.SJLCD45.1 mixed bone marrow chimeric mice, respectively). The correlation between BCR affinity and cyclic re-entry initiation and T cell-mediated refuelling was subsequently tested. The competition between B cells to receive T cell mediated refuelling was confirmed by partial B cell ablation experiments. Sample sizes and numbers of replicates for each experiment are indicated in the figure legends. Sample sizes were determined based on power calculations, guided by earlier similar studies from our lab. Only T cell ablation experiments required data exclusion, whose criteria was detailed in the Immunisations, treatments and adoptive transfers section. Outliers were not excluded.
Mice
SWHEL (59), Rosa26-CreERT2+ (28), I-Ab (H2-Ab1)fl/fl (27), Aicdawt/cre (60), R26-loxp-stp-loxp-DTR (61), CD79a-CreERT2 (62) (63), OT-II (64), TCR-b-/- and b/d-/- (65) (66) and R26p-Fucci2 (Riken accession CDB0203T, http://www.clst.riken.jp/arg/reporter_mice.html) (24), Nur77-GFP (35), CD4-Cre (67), mice have been described previously. C57BL/6 and B6SJL.CD45.1 mice were purchased from the University of Oxford core breeding facility. All mice were >6 weeks of age at time of experimentation, and mixes of male and female mice were used. We occasionally noted that Rosa26-CreERT2+ x MHCIIfl/fl mice to have universally low surface MHCII levels without tamoxifen treatment, possibly indicating germline Cre activity, therefore I-Ab protein levels were screened before use and careful breeding strategies were employed.
All mice were bred and maintained in specific pathogen–free facilities at Biomedical Sciences Facility at the University of Oxford. All experiments were performed under the authorization by a project license granted by the UK Home Office and were also approved by the Institutional Animal Ethics Committee Review Board at the University of Oxford.
Mixed bone marrow chimeras
A mixture of C57BL/6 and B6.SJLCD45.1 mice >8 weeks of both sexes were used as recipients for mixed BM chimeric mice. Recipient mice were lethally irradiated twice at 4.5 Gy dose for 300 s, separated by a ~3 hour rest. Mice were then injected i.v. with mixes of 80% Rosa26-CreERT2+ MHCIIfl/fl/20% B6.SJLCD45.1 (target frequencies), 60% Rosa26-CreERT2+ MHCIIfl/fl Fucci2/40% Fucci2 B6.SJLCD45.1, 80% Aicdawt/cre R26-loxp-stp-loxp-DTR/20% B6.SJLCD45.1, 55% Aicdawt/cre R26-loxp-stp-loxp-DTR/45% B6.SJLCD45.1, 80% Aicdawt/cre R26-loxp-stp-loxp-DTR/20% R26p-Fucci2 or 80% Aicdawt/cre R26-loxp-stp-loxp-DTR/20% Nur77-GFP CD45.1 BM cells, respectively with donor mice being sex matched to each other. Recipient mice received antibiotics (0.16mg/mL, Enrofloxacin (Baytril), Bayer Corporation) in drinking water for four weeks following irradiation and were rested for >8 weeks before experiments.
Immunisations, treatments and adoptive transfers
For HEL-specific GC responses, 1x105 SWHEL, MHCIIfl/fl x CD79a-CreERT2 SWHEL or SWHEL x R26p-Fucci2 cells were transferred into C57BL/6 or B6SJLCD45.1 hosts by i.v. injection. Mice also received equal numbers of OT-II cells in experiments where HEL-OVA was used. Mice were immunised with HEL3x (or HELWT) conjugated to SRBCs (HEL-SRBCs, including 10ug/ml LPS) (36) or 50ug HEL-OVA chemically conjugated as previously described (9) in sigma adjuvant system (Sigma Aldrich, S6322) 1-3 days later (SRBCs in Alsevier’s solution used). Mice receiving SWHEL B cells and SRBC immunisation did not establish CD45.1 GC B cells, confirming that the low affinity cells detected by FACS were specific for HEL3x and not other SRBC epitopes. The HEL3x gene (36), with two C’-6xHis-tags following the signal sequence, was cloned into a pHR-ires-GFP lentiviral vector, CHO cells were transduced, and cells with high expression (GFPbright) FACS sorted and expanded. HEL3x protein was harvested from the supernatant and purified over a NiNTA column. HELWT was purchased from Sigma Aldrich, cat no.62971.
For T cell transfer experiments, splenocytes from CD4-Cre+ DTR+ donor mice were were transferred into sex-matched recipients (~1 donor per 3 recipients), which were subsequently immunised with defibrinated SRBCs (90ul/mouse, diluted in saline to 300ul, Fisher Scientific, i.p.) supplemented with LPS (Sigma Aldrich, L6529) (10 ug/ml). Animals were excluded from analysis when T cell ablation was not effective (CD4+ TCRb+ T cells were >0.4% of splenocytes).
For polyclonal SRBC responses, mice were immunised with ~2-3 x 108 defibrinated SRBCs by i.p. injections (90ul/mouse, diluted in saline to 300ul, Fisher Scientific, i.p.). For NP-KLH (Biosearch Technologies, N-5060-5) immunisations, antigen was absorbed in Anhydrogel alum (Invivogen, vac-alu-250) and injected i.p‥ For BrdU (Sigma Aldrich, B5002) and EdU (Biosynth Carbosynth, NE08701) treatments, mice received single i.p. injections of 2mg BrdU or 1 mg EdU in saline at the indicated periods before tissue harvest. For DT treatment, mice received single doses of 0.75 μg DT (CalbioChem) in saline (or vehicle alone) at indicated time points by i.p. injection. Tamoxifen (2mg/mouse, Sigma) was dissolved in 10% ethanol/90% corn oil, sonicated and delivered by i.p. injection. For anti-CD40L antibody treatments, mice received 0.5mg antibody (MR1 clone, Biolegend) in saline by i.p. injections 24hrs before tissue harvest. Ibrutinib (Selleckchem.com) treatments were provided through 2 i.p. injections of 0.25mg/mouse Ibrutinib, separated by 3 hrs. Ibrutinib was dissolved in Captex 355 (Abitec) (1.56mg/ml) and further diluted in PBS prior to use.
Flow cytometry and FACs sorting
Spleens were passed through 40μm cells strainers to generate single cell suspensions and stained for with the relevant antibodies. For BATF and IRF4 staining, cells were fixed (30 minutes) and permeabilized with the Foxp3/Transcription Factor Staining buffer (ThermoFisher Scientific) prior to intracellular staining. For Y-ae staining, splenocytes were cultured ex vivo in DMEM/10% FBS/Hepes/Pen/Step with HEL-EaGFP or HEL-BSA at 3ug/mL for 2 hrs at 37°C prior to antibody staining. For BrdU stains, cells were fixed/permeabilized with BD BrdU flow kit following manufacturer’s instructions, and stained using the 3D4 antibody. EdU staining was performed on samples fixed for 30 mins with BD Cytofix/Cytoperm, following manufacturer’s instructions (Click-iT™ Plus kit, ThermoFisher Scientific). All permeabilization steps included a short vortex pulse and were performed with an overnight incubation at 4°C. Data acquisition was carried out using BD LSR II, LSR Fortessa, LSR Fortessa X20, FACSymphony cytometers. FACs sorting was performed using the FACs Aria II SORP or Fusion II machines with 85um or 100um nozzles. Analysis was performed with Flowjo (Treestar Inc.).
Antibodies
The following monoclonal antibodies against mouse B220 (RA3-6B2), IgD (11-26c.2a), GL7 (GL7), CD3e (145-2C11), CD86 (GL1), CD83 (Michel-19), IRF4 (IRF4.3E4), I-Ab (AF6-120.1), IgKappa (RMK-45), CD45.1 (A20), CD45.2 (104), CD4 (GK1.5), TCRb (H57-597), CD44 (IM7), CD62L (MEL-14), PD1 (29F.1A12) were purchased from Biolegend. The mAbs against mouse CXCR5 (2G8), CD95 (Jo2) were purchased from BD Biosciences. Anti-mouse BATF (D7C5) was obtained from Cell Signaling Technology. Anti-mouse CXCR4 (2B11), Donkey Anti-Rabbit IgG AF647, Anti-Mouse Ea52-68 peptide (Y-ae), Streptavidin Qdot605 (Q10101MP), were purchased from Thermo Fisher Scientific.
Immunostaining
Spleen fragments were snap frozen in O.C.T. mounting medium (Tissue-Tek). 7 or 10 uM cryostat sections were cut and fixed with ice-cold acetone (10 mins) prior to drying for >1hr. For immunohistochemistry (IHC), slides were subsequently rehydrated in TBS with 0.1% BSA and stained for >3hrs with the relevant antibodies in TBS/blocking serums. Secondary stains were performed for >1hr. Enzyme conjugates were developed using Sigma Fast DAB and Fast Blue substrates prior to mounting with Aqua-mount. For immunofluorescence (IF), slides were rehydrated in PBS/0.1% BSA and stained for >3hrs with antibodies in PBS/blocking serums, washed and stained with secondary reagents (>3hrs). IHC images were acquired using the Echo Revolve microscope and IF images were acquired with 10x Axioscan (Zeiss).
Statistical analysis
Shapiro-Wilk normality testing was first used to determine the normality of each experiment dataset then. statistical significance was determined by unpaired, two-tailed Student’s t test, Mann-Whitney test, Kruskal-Wallis one-way ANOVA with multiple comparisons or Wilcoxon paired signed rank test as appropriate. The statistical method used is indicated in the respective figure legends. P < 0.05 was considered as statistically significant. Prism 8 software (Graphpad) was used to calculate all statistical analyses.
Supplementary Material
One sentence summary.
Acknowledgements
We are grateful to A. Armitage, T. Arnon, R. Brink, R. Cornall, A. Gerard, M. Hepworth, A. Maclean & N. Whibley for kindly providing, or allowing use of, mouse lines. SWHEL Cd79a-CreERT2/MHCIIfl/fl cells were a generous gift from R. Brink, I. Moran & T. Phan. We thank T. Fujimori and RIKEN BDR Laboratories for Animal Resource Development and Genetic Engineering (LARGE) for R26p-Fucci2 mice, which were generously made available under an MTA agreement. Cell sorts were performed in the WIMM FACS facility with expert assistance from C. Waugh and S. Clark. We thank G. Victora, as well as all Bannard lab members, for helpful discussions, and E. French, M. Virgo & N. Ashley (WIMM single cell facility) for expert technical assistance. We thank P. Borrow, J. Cyster, T. Kurosaki and J. Muppidi critically reading the manuscript. J. Cyster also provided important suggestions/input regarding early T cell ablation studies.
Funding
This study was funded by The Wellcome Trust/Royal Society (O.B., 105654/Z/14/Z, 220219/Z/20/Z) and by the Medical Research Council (MRC) through core funding to the MRC Human Immunology Unit and MRC WIMM.
Footnotes
Author Contributions
Z.L., B.P. and O.B. performed experiments. D.R. made early observations related to selection timing. M.M. contributed to data interpretation by running in silico comparisons. O.B supervised the work. O.B. and Z.L. designed the study and wrote the manuscript.
Competing Interests
The authors declare no competing interests.
Data and materials availability
All data needed to evaluate the conclusions in the paper are present in the paper or the Supplementary Materials.
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