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The Journal of Immunology, 2007, 179, 3412 -3416
Copyright © 2007 by The American Association of Immunologists, Inc.

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Cutting Edge: Size and Diversity of CD4+CD25high Foxp3+ Regulatory T Cell Repertoire in Humans: Evidence for Similarities and Partial Overlapping with CD4+CD25 T Cells1

Nicolas Fazilleau2,*, Hervé Bachelez{dagger}, Marie-Lise Gougeon* and Manuelle Viguier2,*

* Unité de Recherche et d’Expertise Immunité Anti-virale, Biothérapie et Vaccins, Institut National de la Santé et de la Recherche Médicale (INSERM) U668, Institut Pasteur; and {dagger} INSERM U697, Université Paris 7, Hôpital Saint-Louis. Paris, France


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Disclosures
 References
 
Both differentiation and function of CD4+CD25high naturally arising regulatory T cells (Treg), which play a key role in the control of autoimmunity, are thought to depend on TCR specificity. In the present study, we comparatively measured the {alpha}betaTCR repertoire sizes of human peripheral blood Treg and CD4+CD25 T cells by using a methodology based on PCR amplification and sequencing analysis. We show that Treg use a large unrestricted {alpha}beta TCR repertoire, the size and diversity of which are closely similar to those of CD4+CD25 T cells, with a mean estimated size of 3.5 x 106 distinct {alpha}beta TCR vs 4.7 x 106 distinct {alpha}betaTCR for CD4+CD25 T cells. In addition, a 24% overlap between the repertoires of these two CD4+ subsets in the periphery is found. These data emphasize the intersection between naturally occurring Treg and effector T cell peripheral repertoires and provide new insights into the ontogeny of Treg in humans.


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Disclosures
 References
 
Thymus-derived CD4+CD25high regulatory T cells (Treg)3 showing immunosuppressive functions have been recently described (1). These cells are characterized by the expression of Foxp3, a transcription factor, the expression of which is mandatory for their immunoregulatory function (2). Their critical role in immune tolerance has been demonstrated by studies showing that mutations of X-linked Foxp3 gene lead to a severe polyautoimmune syndrome (3). In mice, studies have shown that Treg develop mainly in the thymus and are positively selected after interactions between their TCR and self-peptides complexed with MHC molecules at the surface of stromal cells (4). The recent identification of few Ag recognized by Treg suggests that in vivo expansion of these cells could result from Ag-specific stimuli, although their immunosuppressive activity is exerted in a nonspecific manner (5). An important missing piece is the lack of large-scale in vivo studies analyzing the diversity of the TCR repertoire of Treg in humans. To date, preliminary studies suggest that Treg use TCR Vbeta segments at a similar frequency as CD4+CD25 T cells and that the distribution of the various Vbeta CDR3 lengths is polyclonal, arguing for a wide repertoire and consequently for a large Ag specificity (6, 7). In the present study, we comparatively measured the {alpha}beta TCR repertoire sizes of human peripheral Treg and CD4+CD25 T cells by using PCR amplification and sequencing analysis. Using this method, we previously estimated the size of the repertoire of human {alpha}beta T cells (8) and murine {alpha}beta T splenocytes from wild-type mice and various deficient mice (9, 10). We demonstrate, herein, that Treg use a large unrestricted {alpha}beta TCR repertoire, the size of which is closely similar to that of CD4+CD25 T cells. We also show evidence for an overlap between the respective repertoires of CD4+ T cells.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Disclosures
 References
 
Patients and samples

Blood samples (400 ml) were obtained from healthy donors after written informed consent was given. PBMC were isolated by Ficoll-gradient.

Cell purification

CD4+ PBMC were isolated using magnetic microbeads (Miltenyi Biotec) and labeled with FITC anti-CD4 (clone S3.5) or allophycocyanin anti-CD4 (clone SK3; BD Pharmingen) and PE anti-CD25 Ab (clone M-A251, BD Pharmingen). CD4+CD25high and CD4+CD25 cells were purified using a MoFlo cell sorter (DakoCytomation). Using FITC anti-V{alpha}12.1 (clone 6D6.6; Pierce/Endogen), we isolated CD4+CD25highV{alpha}12.1+, CD4+CD25highV{alpha}12.1, and CD4+CD25V{alpha}12.1+ T cells. The percentage of V{alpha}12.1 chain usage was analyzed on a FACSCalibur flow cytometer using the CellQuest software (BD Biosciences).

FoxP3 expression

RNA from sorted cells was extracted using the RNeasy kit (Qiagen) and reverse transcribed into cDNA using oligo(dT) and SuperScript II (Invitrogen Life Technologies). Quantitative PCR using specific primers for FoxP3 and human hypoxanthine ribosyltransferase 1 was conducted as described previously (11).

Calculation of Vbeta usage and immunoscope analysis

Quantitative PCR amplifications were performed in a final volume of 25 µl on one twenty-fifth of the cDNA from sorted cells with TaqMan Universal PCR Master Mix (Applied Biosystems) with one of the 24 Vbeta gene segment-specific oligonucleotides, the Cbeta-specific antisense primer, and a fluorescent probe specific for the Cbeta gene segment as described elsewhere (11, 12). Amplified products were used as a template for an elongation reaction with a fluorescence-tagged oligonucleotide (12) and fluorescent products were loaded on a denaturating polyacrylamide gel and analyzed using immunoscope software (13).

Calculation of Jbeta gene segment usage

A single PCR amplification was conducted on cDNA using one given sense Vbeta-specific primer and the Cbeta-specific antisense primer. PCR were conducted with 5 U of Pfu polymerase (Stratagene) in the supplier’s buffer with the following cycling conditions: 10 min at 95°C, 30 cycles of 45 s at 95°C, 45 s at 60°C, and 1 min at 72°C. The PCR products were diluted (10–6) and used as a template for quantitative PCR with one given Vbeta-specific primer, each of 13 TCRJbeta subfamily-specific primers, and a nested fluorochrome-labeled TaqMan probe for TCR Vbeta (5'-FAM-TTTGTCGGTACCAGTAAAG-3' for Vbeta6a and 5'-FAM-CATCTCCCTTATCAGTCACCTCAACATTCAT-TAMRA-3' for Vbeta14).

Cloning and sequencing of TCR Vbeta-Jbeta rearrangements

Vbeta-Jbeta PCR products were cloned in a pCR4Blunt-TOPO vector (Invitrogen Life Technologies). Sequencing reactions were performed using the ABI PRISM BigDye terminator reaction kit (Applied Biosystem). Reaction mixtures were analyzed on a 48-capillary 3730 DNA Analyzer (Applied Biosystems).

Calculation of the size of the TCR repertoire

The equation by Barth (14) and Behlke (15) was used to estimate the maximum number of distinct CDR3 sequences present in the cDNA of a given Vbeta-Jbeta rearrangement (maximum likelihood estimate (MLE)). The method used for repertoire size calculation has been reported (8, 9) as follows: size of the Vbeta repertoire = number of distinct sequences present in all CDR3 peaks/(frequency of Vbeta x frequency of Jbeta segments); size of the whole {alpha}beta TCR repertoire = number of distinct sequences present in all CDR3 peaks from the V{alpha}12.1+ T cells/(frequency of Vbeta x frequency of Jbeta segments x frequency of V{alpha}12.1+ T cells in the studied population).


    Results and Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Disclosures
 References
 
Suppressive activity and FoxP3 expression of isolated CD4+CD25high T cells

The aim of this study was to accurately determine the size of the {alpha}beta TCR repertoire from peripheral human Treg. One major caveat with Treg remains the lack of a specific cell surface marker, which hampers the purification of these cells. To date, the most specific marker of Treg is FoxP3 (2), which cannot be helpful for the isolation of these cells because of its exclusive intracellular expression. Cell surface markers for Treg have been described, such as the expression of CD25 (the IL-2 receptor {alpha}-chain), the glucocorticoid-induced TNF receptor family-related protein (GITR), CTLA-4 molecules, or the down-regulation of IL-7 receptor (CD127) (16). However, high expression of CD25 is widely considered as a main marker of Treg, allowing the provision of a highly enriched population of Treg (1, 17). Therefore, we sorted CD4+CD25high T cells from the PBMC of three healthy donors. Purity rates of CD4+CD25high and CD4+CD25 T cells were 96.9 ± 4.3% and 96.6 ± 3.3% (mean ± SD), respectively. We tested the activity of sorted CD4+CD25high T cells in an in vitro allogeneic stimulation assay (11) and found that these cells were anergic and could inhibit the proliferation of autologous CD4+CD25 T cells in a dose-dependent manner (data not shown). A high level of FoxP3 transcription was detected by quantitative RT-PCR in CD4+CD25high T cells when compared with CD4+CD25 T cells with a relative expression of 564 ± 86 and 2.9 ± 0.8, respectively (Student’s t test; p < 0.003). Altogether, we conclude that sorted CD4+CD25high T cells display markers and regulatory properties characteristic of naturally occurring Treg.

The TCR Vbeta repertoire of human peripheral Treg is polyclonal

We first estimated the usage of each Vbeta gene segment in sorted T cells (Fig. 1A). We did not find statistically significant differences in Vbeta usage between Treg and CD4+CD25 T cells (paired Student’s t test; p = 0.38). Analysis of CDR3 length distribution for all Vbeta-Cbeta rearrangements showed in both subsets nonbiased profiles, the hallmark of a polyclonal T cell repertoire (Fig. 1B). Altogether, these data confirm that both CD4+ populations express a highly diverse set of Vbeta subfamilies.


Figure 1
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FIGURE 1. Vbeta and Jbeta gene segment usage in CD4+CD25high and CD4+CD25 T cells. A, Real-time PCR amplification analysis of the Vbeta usage by CD4+CD25high and CD4+CD25 T cells showing a similar Vbeta usage between the two populations. Mean percentages from three different donors are presented. B, CDR3beta length distributions for CD4+CD25high and CD4+CD25 Vbeta6a-Cbeta and Vbeta14-Cbeta rearrangements from HD2 showing Gaussian distribution. The peak of the 10th codon is marked on the abscissa axis. C, Real-time PCR amplifications analysis of Jbeta usage by sorted CD4+CD25high and CD4+CD25 T cells. A representative experiment performed in triplicate is shown for Vbeta6a PCR products from HD2, showing a similar Jbeta usage between the two CD4+ populations. D, CDR3beta length distributions for CD4+CD25high and CD4+CD25 Vbeta6a-Jbeta2.4 and Vbeta14-Jbeta2.7 rearrangements from HD2, showing Gaussian distribution. The peak of the 10th codon is marked on the abscissa axis.

 
Quantification of Jbeta gene segment usage by human T cells has not been properly performed yet. In this setting, we used quantitative RT-PCR to determine the rate of usage of each of the 13 Jbeta subfamilies by Treg and CD4+CD25 T cells (Fig. 1C) and observed a similar Jbeta usage by both subsets (paired Student’s t test; p = 0.13). Moreover, Vbeta-Jbeta rearrangements exhibited nonbiased immunoscope profiles of CDR3 length distribution (Fig. 1D). We conclude that the repertoire of Treg is highly diverse, with comparable Vbeta/Jbeta gene usage in both CD4+CD25high and CD4+CD25 T cells.

TCR Vbeta repertoire size of human peripheral Treg

Various Vbeta-Jbeta combinations of sorted populations from two healthy donors (HD) were amplified, cloned, and sequenced. To limit bias, we chose Vbeta-Jbeta rearrangements with similar low usage frequencies in both populations (Table I) and used a statistical analysis (MLE) (8, 9) to estimate the number of distinct nucleotide sequences in the studied rearrangements. For example, 95 distinct sequences were found for the Vbeta6a-Jbeta2.6 combination in the Treg population from HD1 whereas a MLE value of 101 distinct sequences was calculated. Given that 2.34% of Treg bore a TCR using the Vbeta6a gene segment and that 0.52% of these Vbeta6a cells used the Jbeta2.6 gene segment, the TCR Vbeta repertoire size was estimated as follows: MLE x 1/percentage of Vbeta-Jbeta usage = 101 x 1/(2.34% x 0.52%) = 0.83 x 106. Extending our study to another donor and to two other Vbeta-Jbeta rearrangements, we estimated that at least 0.24–1.16 x 106 various Vbeta-chains were used by Treg at a given time (mean, 0.74 x 106; median, 0.83 x 106). Regarding CD4+CD25 T cells, we estimated that 0.78 x 106 various Vbeta-chains were used on average (median, 0.81 x 106) (Table I). In conclusion, we show that the size of the TCR Vbeta repertoire is closely similar in Treg and CD4+CD25 T cells.


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Table I. Estimation of the TCRVbeta repertoire size in human peripheral CD4+CD25high and CD4+CD25 T cells

 
Because some peripheral CD4+CD25 T cells can be converted into Treg (18, 19), we analyzed the distinct Vbeta-Jbeta sequences in both CD4+ subsets. Of 1,116 total distinct nucleotide sequences, only 37 were found in both Treg and CD4+CD25 T cells. Thus, the frequency of overlapped sequences was 3.32%. When comparing the whole set of sequences analyzed and not only the distinct ones, 615 of 2537 (24.2%) were found in both cell subsets. Hence, the two CD4+ T cell populations do not share many TCR Vbeta sequences in common but, when they do, these sequences correspond to highly frequent T clones. These findings strongly suggest a different thymic precursor for each of the CD4+ T cells. In mice, a 10–20% overlap was observed between the two T cell subsets in the transgenic Vbeta-associated V{alpha}-chain repertoire (20). Interestingly, Treg from these mice interacted more efficiently with MHC class II-restricted self-peptides as compared with CD4+CD25 T cells, suggesting a higher self-reactivity of Treg (20).

The present data and those reported by Hsieh et al. (20) do not suggest that the pool of peripheral Treg is shaped by a restricted set of ligands but rather that the Treg repertoire is selected in the thymus by a large panel of self MHC class II-peptide complexes. However, these findings do not rule out the contribution of Ag-specific mechanisms in the peripheral expansion and maintenance of Treg clones following exposure to peptides derived from infectious agents or tumors as previously reported (21).

Size of the {alpha}beta TCR repertoire of human peripheral Treg

A unique TCR Vbeta-chain associates on average with two to three distinct V{alpha}-chains in mice (9) and 25–100 in humans (8). Even if TCR Vbeta-chain diversity is very similar in Treg and CD4+CD25 T cells, one could hypothesize that {alpha}beta pairing is different between the two subsets, leading to a different level of {alpha}beta TCR repertoire diversity. To address this possibility, we sorted out CD4+CD25highV{alpha}12.1+, CD4+CD25highV{alpha}12.1, and CD4+CD25V{alpha}12.1+ T cells from a third donor. We analyzed CDR3 length distribution and observed nonbiased curves for each Vbeta-Cbeta rearrangement. We next sequenced all CDR3 lengths of two different Vbeta-Jbeta combinations. Given the low number of CD4+CD25highV{alpha}12.1+ T cells recovered and the low frequency for each Vbeta-Jbeta combination, the number of distinct sequences was very low (Table II). Because the {alpha}beta TCR repertoire of CD4+CD25highV{alpha}12.1+ T cells was polyclonal, the same estimation model was used. We estimated the TCR Vbeta repertoire size in this T cell subset to range from 0.056 to 0.113 x 106 (Table II). Moreover, the minimal number of distinct {alpha}beta TCR expressed by these cells, which corresponds to the TCR Vbeta diversity divided by the percentage of cells using V{alpha}12.1 gene segments, was estimated to be on average 3.49 x 106. We then evaluated the {alpha}beta TCR diversity of CD4+CD25 T cells to be on average 4.7 x 106, indicating that the two CD4+ subsets share a similar level of {alpha}betaTCR repertoire diversity (Table II). Comparative analysis with the estimated repertoire diversity of peripheral human CD4+ and CD8+ T cells indicates that {alpha}beta TCR diversity in Treg is of same order of magnitude (8). When V{alpha}12.1+ and V{alpha}12.1 CD4+CD25high T cells were compiled, the estimated TCR Vbeta-chain diversity was 0.0115 to 0.067 x 106 (Table III). The {alpha}beta pairing, which corresponds to the {alpha}beta TCR size divided by the compiled TCR Vbeta, was at least 72.8–182.6 for Treg (Table III), i.e., very close to estimations performed in total blood T cells (25–100) (8).


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Table II. Estimation of the {alpha}beta TCR repertoire size in human peripheral CD4+CD25high and CD4+CD25 T cells

 

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Table III. Estimation of {alpha}beta pairing in human peripheral CD4+CD25high T cells

 
Because Treg represent ~5–10% of the peripheral CD4+ T cells in humans (22) and are highly differentiated cells (6), the size of their {alpha}beta TCR repertoire might be expected to be significantly shrunk in comparison with that of naive CD4+ T cells. Several hypotheses can be put forward to account for these findings. Even if this would contradict recent data obtained in mice (20), a lower TCR V{alpha} diversity, which cannot be accurately determined in humans, may exist in Treg. This would lead in fine to a less diverse {alpha}beta TCR repertoire despite a number of distinct {alpha}beta TCR that are similar between the two subsets. Moreover, it has been reported that a large proportion of peripheral Treg expresses two distinct V{alpha}-chains, resulting in the expression of two different {alpha}beta TCR at the surface of these cells (23). This phenomenon is 3-fold higher in Treg than in other T cells. Nevertheless, we do not believe that this feature has a great influence on the size of the {alpha}beta TCR repertoire and favor the observation that the two CD4+ T cell repertoires exhibit a similar size. To explain this, we can hypothesize that a predominant selection of Treg bearing different specificities occurs due to high affinity and/or preferential interactions with numerous self-Ag in the thymus medulla. Postthymic conversion of naive CD4+ T cells into Treg may also contribute to enlarge the peripheral naturally arising Treg repertoire (18, 19). We observed a 24% overlapping between CD4+CD25 and Treg peripheral repertoires, which is close to the 10–20% overlap recently reported in mice (20). The reason for this overlap remains unclear. It is unlikely to be due to a contamination during the purification process given the >96% purity for both subsets as well as respective FoxP3 expression in sorted populations. We believe that this intersection results from common mechanisms underlying the thymic development of Treg and of CD25 T cells as suggested in mice (20, 24). Indeed, it is tempting to speculate that at least part of human Treg TCR are self-reactive and escaped from negative thymic selection.

These different observations argue for a smaller clone size in Treg than in CD4+CD25 T cells. It remains to be determined whether this reflects lower avidity of Treg, TCR-ligand interactions, or TCR-independent mechanisms. Treg are able to suppress activated T cells in vitro at a ratio of one Treg to 20 effector cells (11, 22). Consequently, a large clone size for Treg is less crucial than for conventional T cells, whereas a broad TCR specificity is more likely to include specificities for the large set of self-Ag and to allow activation and expansion of Treg by cognate self-peptide ligands, which is necessary to rapidly obtain functional regulators. Indeed, the identification of self-cognate Ag recognized by Treg TCR would be a major step in the deciphering of mechanisms underlying the homeostasis of regulatory T cells.


    Acknowledgments
 
We are grateful to A.-M. Balazuc and A. Louise for cell sorting experiments.


    Disclosures
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Disclosures
 References
 
The authors have no financial conflict of interest.


    Footnotes
 
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1 This work was supported by fellowships from Ligue contre le Cancer, Association pour la Recherche contre le Cancer, INSERM, Institut Pasteur, Ministère de la Recherche Française, and Pasteur-Weizmann. Back

2 Address correspondence and reprint requests to Dr. Nicolas Fazilleau at the current address: The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla CA 92037; E-mail address: nicolas{at}scripps.edu or Dr. Manuelle Viguier, Service Dermatologie, Hôpital Saint-Louis, 1 Avenue Claude Vellefaux, 75010 Paris, France; E-mail address: manuelle.viguier{at}sls.aphp.fr Back

3 Abbreviations used in this paper: Treg, regulatory T cell; HD, healthy donor; MLE, maximum likelihood estimate. Back

Received for publication January 17, 2007. Accepted for publication July 25, 2007.


    References
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Disclosures
 References
 

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