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ilImmuno-Apoptose, Institut National de la Santé et de la Recherche Médicale, Unité 503, Centre dEtudes et de Recherche en Virologie et Immunologie, Lyon, France
| Abstract |
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| Introduction |
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The difficulty to identify the very rare naive Ag-specific T cells by the peptide/MHC-tetramer technology (7, 8) and the modifications in the primed T cell repertoire (1, 2, 3, 7, 8) concur to hamper functional analyses of memory T cell clones in normal mice. TCR-transgenic mice, with monoclonal T cell populations, have been used to compare naive and memory T cell responses to Ag. However, studies using TCR-transgenic models revealed heterogeneity in the functional capacities of individual cells within monoclonal populations. Indeed, even under conditions in which all TCR-transgenic T cells are activated by Ag, only a fraction is able to enter cell division (10, 11). It has also been observed that only a fraction of naive Ag-activated TCR-transgenic T cells is able to differentiate into cytokine producers (11, 12, 13, 14, 15, 16, 17). However, the frequency of cytokine-producing cells is enhanced during secondary antigenic challenge (14, 16, 17, 18). Importantly, previous cytokine gene expression can be genetically imprinted (13) and favors future capacity of reexpression by the cells (18).
We have used TCR-transgenic mice derived from the cytotoxic clone F5, recognizing the NP68 peptide (residues 366374) from influenza nucleoprotein (19). i.p. immunization of F5 TCR-transgenic mice with NP68 peptide leads to the generation of long-lived primed CD8+CD44int T cells (20, 21). In F5 mice, all naive CD8+CD44low and primed CD8+CD44int T cells are resting in vivo, express the transgenic TCR, and respond to peptide stimulation (17, 21).4 However, using a combination of limiting dilution assays (LDA),5 CFSE analysis of cell division patterns, and mathematical calculation of in vitro proliferative parameters, we show that the hyperproliferative capacity of the pure primed CD8+CD44int T cell population observed in bulk cultures only relies on the enhanced frequency of cells capable to proliferate and generate clonal progeny. These results unveil two important features of F5 TCR-transgenic CD8 T cells. First, even in a monoclonal homogeneous model, functional abilities of individual cells are heterogeneous and immunization leads to an increase in the frequency of clonable cells. Second, individual naive and memory T cells that are able to proliferate show the same pattern of cell division in terms of cell cycle numbers, lag phase, and intermitotic interval.
| Materials and Methods |
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C57BL/10, F5 TCR-transgenic mice, and Rag1-/- x F5 (Rag-/-F5) mice were a gift from D. Kioussis (National Institute for Medical Research, London, U.K.) (22). All mice were bred in the institutes animal facility. Thymectomies were performed on 5- to 7-wk-old mice, which were then allowed to recover for at least 4 wk before immunization. Mice were immunized i.p., once or twice at a 24-h interval, with 50 nmol A/NT/60/68 influenza virus nucleoprotein peptide NP68 (residues 366374) (Synt:em, Nîmes, France) in saline. Mice were primed 512 wk before experiments. All primed and naive F5 or Rag-/-F5 mice were thymectomized.
Cell staining and FACS analysis
For flow cytometry analyses, spleen cells were stained as
described (17). The following Abs were used:
FITC-conjugated H57-597 (anti-TCR
) from Immunotech
(Marseille, France); PE-conjugated H1.2F3 (anti-CD69) and MP6-XT22
(anti-TNF-
) and CyChrome-conjugated 53-6.7 (anti-CD8
)
from BD Biosciences (Le Pont de Claix, France); and FITC-conjugated
IM7.8.1 (anti-CD44) produced in our laboratory. CFSE labeling has
been previously described (23). Cells were analyzed using
the FACScan (BD Biosciences, Mountain View, CA) and CellQuest software
(BD Immunocytometry Systems, San Jose, CA).
For sorting, spleen cells were purified by centrifugation on Ficoll-Hypaque layer (Cedarlane Laboratories, Hornby, Ontario, Canada). CD8 T cells from F5 splenocytes were further purified by negative depletion of CD4+, Gr-1+, Mac-1+, and MHC-class II+ cells. F5 or Rag-/-F5 CD8 T cells were then stained as for surface marker expression and sorted on a FACStarPlus (BD Biosciences) using CellQuest software (BD Immunocytometry Systems). Purity of isolated populations was routinely >95%.
Cell culture
Cells were cultured in DMEM (Life Technologies, Cergy-Pontoise, France) supplemented with 6% FCS (Life Technologies), 50 µg/ml gentamicin (Life Technologies), 10 mM HEPES, pH 7 (Sigma, LIsle dAbeau Chesnes, France), 2 mM L-glutamine (Life Technologies), 50 µM 2-ME (Sigma), and 5% of a murine IL-2 cell culture supernatant containing IL-2 (50100 U/ml final). Antigenic stimulation was performed either by various concentrations of NP68 peptide, in the presence of irradiated (3000 cGy) syngeneic C57BL/10 splenocytes, or by graded numbers of irradiated (3000 cGy) syngeneic C57BL/10 splenocytes or dendritic cells (DCs), previously pulsed for 2 h at 37°C with 1 µM NP68 peptide. DCs were purified from C57BL/10 splenocytes by centrifugation on a metrizamide layer (Aldrich Chemical, LIsle dAbeau Chesnes, France) (24). DC preparations were 7595% pure, as determined by coexpression of high levels of CD11c and MHC class II, and purified DCs were mature, as evidenced by expression levels of CD80/CD86 costimulatory molecules (data not shown). For the proliferation assays, 0.5 µCi (2 Ci/mmol) of [3H]thymidine (Amersham Pharmacia Biotech, Orsay, France) was added during the last 8 h of the cultures.
Calculations of the proliferative parameters of CD8 T cell populations
A total of 6 x 104 CD8 T cells was
stimulated in 1 ml of medium, in the presence of IL-2, with 1.5 x
106 irradiated (3000 cGy) syngeneic C57BL/10
splenocytes and 1 nM NP68 peptide. They were harvested at various time
points and stained with CyChrome-conjugated 53-6.7 (anti-CD8
)
from BD Biosciences, and a maximal number (ranging from 12,000 to
140,000) of CD8+CFSE+
events was acquired. Cell numbers in each (0255) fluorescence channel
were imported into ProFit software (Kagi, Berkeley, CA) and analyzed as
described (25). Briefly, the series of log-normal Gaussian
curves that best fits the CFSE profiles was determined using
Levenberg-Marquardt method. Each Gaussian curve was then integrated to
calculate the number of cells in the corresponding CFSE peak. This
allows avoidance of over- or underestimations given by percentages
between marker bounds that are due to nonsymmetrical overlapping
between CFSE peaks. As cell numbers double at each division cycle, the
number of cells in division peak i was divided by
2i to get the precursor cell number necessary to
generate them. Peak values obtained were plotted against their
corresponding division number. Not all cells respond to stimulation
equally, but as probability to enter cell cycle follows a normal
distribution, plotting the size of cell cohorts performing a defined
number of cell divisions in the starting population against the number
of divisions yields a Gaussian curve. For a given culture time, the
Gaussian curve that best fits the experimental data was then used to
determine the mean division number that the starting population is able
to perform. Plotting mean division numbers against time generates a
linear relationship (see Fig. 5
A) for which the inverse of
the slope estimates the average division time. The intercept of the
line with division one yields the average time the population of CD8 T
cells took to enter the first cycle, which corresponds to the lag
time.
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A graded number (ranging from 0.3 to 1000) of CD8 T cells was seeded in 96-well plates in 200 µl of medium containing IL-2 and diverse antigenic stimuli (see tables). For each CD8 T cell concentration, 24 wells were seeded. After 1014 days of culture, the wells containing a clone were scored as positive. The frequency of clonable cells was calculated as described (4).
| Results |
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i.p. immunization of F5 TCR-transgenic mice with influenza virus
nucleoprotein peptide NP68 leads to the generation of long-lived
hyperreactive CD8+CD44int T
cells (20, 21). Following antigenic stimulation in bulk
cultures, these cells proliferate more and proliferation is detected at
lower peptide concentrations than with naive CD8 T cells. However,
although
95% of the naive
CD8+CD44low and primed
CD8+CD44int T cells from F5
mice bind the same quantity of fluorescent NP68-loaded
H2-Db tetramers,4 we cannot
formally rule out that, on a Rag-positive background, the improved
response of the primed population could result, in part, from the
selection of CD8 lymphocytes expressing only the NP68-specific
transgenic TCR during immunization. Hence, we immunized F5 x
Rag1-/- with the NP68 peptide. Lymphocytes from
naive and primed Rag-/-F5 mice were then
cultured for 4 days in the presence of IL-2 and graded concentrations
of NP68 peptide. As assessed by [3H]thymidine
incorporation, primed CD8 T cells from Rag-/-F5
mice proliferate more and at lower peptide concentrations than naive
CD8 T cells in bulk cultures (Fig. 1
A).
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upon antigenic stimulation at the doses used to assess
proliferation (Fig. 2
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Sustained immunization leads to a further increase in the frequency of clonogenic CD8 T cells
To know whether a sustained immunization leads to a further
increase in the frequency of clonogenic cells, we immunized F5 and
Rag-/-F5 mice twice at a 24-h interval with
NP68 peptide (twice primed mice). We first looked at CD44
expression as the hyperproliferative response of primed CD8 T cells
from F5 mice resides in the CD44int compartment
generated upon immunization (21). Fig. 3
A shows that a second i.p.
injection further increases the percentage of CD8 T cells expressing
intermediate levels of CD44 6 wk after priming. Moreover, this
immunization protocol leads to a further enhancement of the
proliferative responses in bulk cultures of twice primed CD8 T cells
(Fig. 3
B). However, these cells did not perform additional
cell cycles over a 3-day culture period, as compared with naive
counterparts (Fig. 3
C), but rather displayed a further
increase in the frequency of clonable cells (Table I
). In conclusion,
sustained immunization leads to a further increase in the size of the
CD8+CD44int hyperreactive
primed population and to an increase in the frequency of clonogenic
cells. Interestingly, this model may help in studying the immunization
conditions necessary to generate a memory population in which all the
cells have acquired clonogenic capacities.
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It has been shown that memory T cells depend less on costimulation
than naive T cells (26, 27, 28). Therefore, the differences in
the frequencies of clonogenic cells observed between primed and naive
CD8 T cells may merely reflect differences in the costimulation
requirements of both populations. To address this question, we used DCs
purified from syngeneic C57BL/10 mice and pulsed with NP68 peptide to
assess the proliferation of naive and primed CD8 T cells. Naive
(CD8+CD44low) and twice
primed (CD8+CD44int) T cell
populations from F5 or Rag-/-F5 mice were FACS
sorted and stimulated with graded numbers of NP68-pulsed splenocytes or
DCs. As expected, purified DCs are very efficient in triggering CD8 T
cell proliferation (Fig. 4
, compare
A and B). Indeed, as few as 500 DCs are able to
elicit naive cell proliferation, while >2 x
104 splenocytes are required to initiate a
proliferative response. Interestingly, naive or primed pure populations
from Rag-/-F5 mice always show better
proliferative capacities than the corresponding cells from the F5 mice.
However, this cannot be explained by differences in the transgenic TCR
expression, as the majority (
95%) of CD8 T cells from F5 mice bind
NP68-loaded H2-Db tetramers with fluorescence
levels equivalent to CD8 T cells from
Rag-/-F5 mice (data not shown). Still, as shown
in Fig. 4
, A and B, twice primed
CD8+CD44int T cell
populations always proliferate more and at lower antigenic dose than
their CD8+CD44low naive
counterparts, whether splenocytes or DCs are used as APCs. Finally,
when using DCs as APCs, the hyperproliferative response of
CD8+CD44int T cells was not
due to a higher number of cell divisions, but rather to a higher
percentage of dividing cells (Fig. 4
C). LDA analysis
performed on FACS-purified cell populations confirmed the presence of a
higher frequency of clonable cells within the pure
CD8+CD44int hyperreactive
subset under optimal costimulation conditions (Table II
).
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Our CFSE experiments (Figs. 1
B, 3C, and
4C) show that, within a given time interval, primed CD8 T
cells do not seem able to perform more cell divisions than naive CD8 T
cells. This indicates that, once they have entered cell cycle, naive
and primed CD8 T cells proliferate with similar intermitotic intervals.
However, it has been observed in another transgenic model that the
memory CD4+ T cell population performs one more
cell division than the naive CD4+ T cell
population, over a 3-day culture period (29). As the
identification of the last division peak is difficult in some CFSE
experiments, we chose to use the mathematical model published by others
(25) to calculate the proliferation parameters (i.e., the
cycling rate and the lag time of the response) of our naive and primed
CD8 T cell populations (see Materials and Methods). Pure
CD8+CD44low and
CD8+CD44int T cell
populations from naive and twice primed
Rag-/-F5 mice, respectively, were FACS sorted
and labeled with CFSE. They were then cultured in the presence of IL-2,
irradiated syngeneic splenocytes and 1 nM antigenic NP68 peptide.
Results from two independent experiments are shown in Fig. 5
and show a good linear correlation
between time and mean division numbers, indicating that, once they have
entered the first division, both naive and primed CD8 T cells
proliferate at a constant cycling rate during the assessed culture
period (Fig. 5
A). Results in Fig. 5
also reveal that naive
and primed CD8 T cells from Rag-/-F5 mice
display similar lag times to enter the first division and intermitotic
intervals. In conclusion, the frequency of dividing cells is the
criterion distinguishing primed and naive populations. Indeed, although
CD8 T cell populations from naive and primed
Rag-/-F5 mice both contain cells unable to
proliferate upon antigenic activation, primed and naive individual CD8
T cells that enter division display the same proliferative
capacities.
| Discussion |
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Interestingly, not all primed CD44int CD8 T cells
are clonogenic precursors (Table II
), although most of them have been
Ag experienced. Indeed, >90% of these
CD8+CD44int T cells
proliferated, and all of them switched to an activated phenotype
following priming (21).
A homogeneous population of lymphocytes with heterogeneous functional
abilities raises the question of the nature of the differences between
individual cells. It is possible that during positive selection of
thymocytes, the recognition of different self peptides or the nature of
the thymic APCs imprints the proliferative capacities within the
offspring CD8 T cells and leads to a heterogeneous peripheral naive
population of cells, with their DNA already prepared or not for
replication (30, 31). In other words, the extent of thymic
precursor proliferation or the frequency of peripheral reexposure to
positively selecting ligands (32) may result in the
progressive sensitization of the daughter cells to acquire
proliferative abilities after subsequent foreign Ag encounter in the
periphery. A similar phenomenon has been described for the cytokine
production capacities of peripheral T cells (11, 13, 33).
As positively selecting ligands drive the homeostatic proliferation
undergone by naive T cells under lymphopenic conditions
(32), it would be interesting to compare clonogenic
capacities and the extent of homeostatic proliferation in several
TCR-transgenic models. Alternatively, the capacity to enter cell
division may be regulated by competition between individual CD8 T cells
for extrinsic signals. Indeed, it has been shown that lymphocytes
deprived of extrinsic signals, such as TCR triggering or cytokines,
cease to utilize nutrients, leading to a cellular atrophy (34, 35) and delayed cell cycle entry upon retriggering
(34, 35, 36). Furthermore, T lymphocytes compete in vivo for
such extrinsic factors (34). Interestingly, we always
found a higher frequency of clonable cells in naive populations from
Rag-/-F5 than from F5 mice. This is unlikely to
be due to differences in the ability to bind Ag, as it was observed
with pure F5 CD8+CD44low
naive populations, >95% of which bind similar levels of NP68-loaded
fluorescent H2-Db tetramers (data not shown).
Moreover, optimal costimulatory conditions did not reduce the
differences observed (Fig. 4
, A and B, and Table II
). Thus, the differences in the frequencies of clonable cells between
Rag-/-F5 and F5 naive CD8 T cell populations
might result from the level of in vivo exposure to extrinsic factors,
for which competition should be less drastic in
Rag-/-F5 animals that do not have any B or
CD4+ T cells. The fact that ex vivo unstimulated
naive CD8 T cells from Rag-/-F5 mice are
significantly larger than naive CD8 T cells from F5 mice favors this
hypothesis (data not shown). Interestingly, increased clonogenicity of
Rag-/-F5 naive CD8 T cell populations may
explain why in some TCR-transgenic models no differences were found in
the proliferative capacities of naive and primed populations
(37). Indeed, in that case, all cells in the naive
population may already be imprinted with clonogenic capacities.
Our results show that individual naive cells that are dividing display
identical proliferative capacities to the primed dividing cells but
that primed populations contain a higher proportion of clonogenic
cells. This is not due to differences in distribution in the different
phases of the cell cycle of naive
CD8+CD44low and primed
CD8+CD44int F5
TCR-transgenic T cell populations that are identical, as >99% of
cells in each subset are in
G0/G1 (data not shown). Two
models could explain these results. In a selective model, the naive
cell population is heterogeneous. Following antigenic stimulation, the
majority of cells acquire functional features such as TNF-
production, but only a fraction is predetermined to enter cell division
and give a clonal progeny. These cells would expand while maintaining
their clonogenic capacities, leading to a higher frequency of these
cells in the resulting Ag-experienced population. This hypothesis is
supported by the clonogenic difference observed between naive CD8 T
cell populations from Rag-/-F5 and F5 mice. It
would also explain why there is no correlation between the size of a
given clone in the naive and the primed repertoire (38).
Alternatively, in an instructive model, all naive cells are able to
proliferate and generate clonal progeny upon immunization. However,
depending on the amount or duration of TCR triggering (39)
or the context in which Ag is presented, some cells acquire immediate
effector functions and die, while others proliferate and survive.
Epigenetic imprinting of previous Ag-induced proliferation would then
result in a higher frequency of clonogenic cells in this population.
Both models would agree with the observation that a sustained
immunization on 2 consecutive days further increases the frequency of
cells capable of proliferating (Fig. 3
and Table I
). Indeed, a second
immunization further promotes the proliferation and expansion of
adoptively transferred naive F5 CD8 T cells, already stimulated by
peptide injection 24 h earlier (data not shown). These stochastic
and instructive models are not exclusive, and both lead to the
generation of a higher frequency of clonogenic cells following
immunization. This phenomenon may have important consequences on the
homeostasis of memory CD8 T cell clones. Indeed, while stimulating the
same number of Ag-specific precursors, one would achieve different
clonal burst with naive or memory cells following rechallenge. This
phenomenon might be involved in the preferential restimulation of
cross-reactive cells when they are Ag experienced (40, 41). It would also allow potent secondary responses from a
smaller pool of Ag-specific memory clones.
It becomes clear from the present study and others (16, 17, 42) that the properties of memory populations rest on the frequencies of responding cells. Previous studies using either LDA or MHC-tetramer technology showed that immunization with pathogens leads to an increased frequency of Ag-specific cells (4, 5, 6, 7, 8). It was therefore concluded that the larger secondary responses were at least partly due to the higher frequency of Ag-specific cells within the total repertoire. We show in this study that besides this well-described phenomenon, immunization can also generate or select cells with clonogenic capacities within a given monoclonal Ag-specific population. The new heterogeneity at the clonal level that we demonstrate in this study in vitro cannot be measured in vivo, as in these conditions nondividing activated cells are eliminated more efficiently and will not be detected. In conclusion, large secondary responses could be tailored by the combination of the increased frequencies of both Ag-specific clones and clonogenic cells among these clones.
| Acknowledgments |
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| Footnotes |
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2 C.A. and G.A. contributed equally to this work. ![]()
3 Address correspondence and reprint requests to Dr. Jacqueline Marvel, Immuno-Apoptose, Institut National de la Santé et de la Recherche Médicale, Unité 503, CERVI 21, Avenue Tony Garnier, 69365 Lyon Cedex 07, France. E-mail address: marvel{at}cervi-lyon.inserm.fr ![]()
4 T. Walzer, C. Arpin, L. Bel
il, and J. Marvel. Differential in vivo persistence of two subsets of memory phenotype CD8 T cells defined by CD44 and CD122 expression levels. Submitted for publication. ![]()
5 Abbreviations used in this paper: LDA, limiting dilution assay; DC, dendritic cell. ![]()
Received for publication August 2, 2001. Accepted for publication December 18, 2001.
| References |
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production following antigenic challenge in vitro. Int. Immunol. 11:699.This article has been cited by other articles:
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L. Quemeneur, L. Beloeil, M.-C. Michallet, G. Angelov, M. Tomkowiak, J.-P. Revillard, and J. Marvel Restriction of De Novo Nucleotide Biosynthesis Interferes with Clonal Expansion and Differentiation into Effector and Memory CD8 T Cells J. Immunol., October 15, 2004; 173(8): 4945 - 4952. [Abstract] [Full Text] [PDF] |
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