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Journal of Virology, November 2008, p. 10487-10492, Vol. 82, No. 21
0022-538X/08/$08.00+0 doi:10.1128/JVI.00588-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Department of Medicine, Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee 37232,1 The Abteilung Klinische Immunologie, Medizinische Hochschule Hannover, Hanover, Germany,2 Department of Medicine, University of Montreal and University of Montreal Hospital Research Centre (CRCHUM), Montreal, Canada,3 The Research Institute at Nationwide Children's Hospital, Columbus, Ohio 43205,4 Department of Pediatrics, College of Medicine and Public Health, The Ohio State University, Columbus, Ohio 43205,5 Department of Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee 372326
Received 16 March 2008/ Accepted 8 August 2008
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The construction of major histocompatibility complex (MHC) class I tetramers has facilitated the direct visualization of HCV epitope-specific T-cell responses in liver tissue of animals and humans (1). The chief advantage of tetramers is the ability to directly stain peripheral blood lymphocytes or, in the case of HCV infection, lymphocytes directly isolated from the liver. However, with the current technology, the cognate epitope must be identified, and the reagent must be available at the time the cells are obtained. Limited liver sample availability has made it difficult to track immune response in the liver, especially in longitudinal studies. Our goal was to use a combination of immunological and molecular techniques to identify HCV-specific CD8 T-cell responses and to quantify and track the frequency of individual-epitope-specific T cells over the course of CD8+ T-cell depletion and HCV infection of chimpanzees.
The specificity of T cells for their cognate peptides is conferred by the CDR3 region of the T-cell receptor (TCR), which in the beta chain is encoded by recombination of the variable, diversity, and joining regions of TCR genes. Additional diversity is conferred by random insertion of nucleotides between these regions. PCR primers (6, 11) or labeled oligonucleotide probes (9) corresponding to the TCR beta chain CDR3 region confer exquisite sensitivity for the detection of individual TCR clonotypes. In a previous study, we identified CD8+ HCV-specific TCR clonotypes in animals that resolved HCV infection (13). From the results of the experiments presented here, we demonstrate the ability to simultaneously track the frequencies of individual T cells from snap-frozen liver biopsy specimens and PBMC and provide a detailed kinetic study of the return of HCV-specific CD8+ T cells after antibody-mediated T-cell depletion. We designed PCR primers specific for dominant clonotypes detected in chimpanzees with resolved HCV infection. Using real-time PCR, we were able to retrospectively track the frequencies of these clonotypes in the liver and PBMC from RNA samples extracted at several time points. This provided a detailed kinetic analysis of TCR clonotype frequency after HCV rechallenge in animals with previously resolved infection and after CD8+ T-cell depletion and subsequent HCV challenge in these same animals. It also provided the relative frequencies of virus-specific T cells in different anatomic compartments.
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Isolation of lymphocytes from blood and liver. Human and chimp blood samples were collected in EDTA tubes, and PBMCs were isolated by using a Ficoll density gradient according to the standard protocol. Needle biopsy liver samples were stored in 1.0 ml of RNAlater reagent (Ambion, Austin, TX) at –80°C until RNA was isolated with RNA Stat-60 (Tel Test, Inc., TX) according to the manufacturer's instructions.
Identification of optimal peptide epitopes. T-cell clones were screened against nine pools containing 30 to 40 peptides which were prepared from a set of 301 overlapping peptides (Mimotypes Pty.) encompassing the entire HCV-1 polyprotein according to the sequence published by Choo et al. (2). The peptides were 20 amino acids long and overlapped by 10 residues. Recognized peptides were mapped to optimal sequences that were used to synthesize Patr class I tetramers (18).
Flow cytometry. The antibodies used included anti-human CD3, CD4, and CD8, all purchased from BD Biosciences. The Patr B*2301/E2445 (HKFNSSGCPERL) and Patr A*0701/p7756 (AASLAGTHGLVSFL) tetramers were synthesized at the NIH tetramer core facility, Emory University, Atlanta, GA.
Sorting tet+ cells. Tetramer-positive (tet+) cells were sorted directly from cryopreserved PBMC (week 2 postinfection). Phycoerythrin-labeled tetramer diluted 1:100 was added to cells and incubated in the dark for 15 min at room temperature, followed by surface labeling with anti-CD3, anti-CD4, and anti-CD8 antibodies (BD Biosciences, San Diego, CA) for 30 min on ice. After washing with fluorescence-activated cell sorter buffer (phosphate-buffered saline, 2% fetal calf serum, 0.1% NaN3), viability dye (Viaprobe; BD Biosciences, Pharmingen, San Diego, CA) was added, and CD8+ tet+ cells were sorted to more than 95% purity.
TCR sequencing. RNA was isolated from sorted tetramer-specific cells (at least 5,000 cells from each sort) and an equal number of CD8+ tetramer-negative (tet–) cells with RNA Stat-60 (Teltest, Inc., TX). Anchored reverse transcription-PCR was performed by using a modified version of the SMART (switching mechanism at 5' end of RNA transcript) procedure (Clontech, Mountain View, CA) and a TCR beta constant region 3' primer (5'-ATT CCT TTC TCT TGA CCA TG-3'). cDNA amplification was performed using the TCR constant region-based primer (5'-TTC ACC CAC CAG CTC AGC TC-3') and 10x universal primer A mix (Clontech, Mountain View, CA). PCR products of 600 to 700 bp were gel purified (Qiagen, Valencia, CA), ligated into the pCR-II vector (Invitrogen, Carlsbad, CA), and used to transform chemically competent Escherichia coli TOP10 cells (Invitrogen, Carlsbad, CA). Bacterial colonies were selected and screened for the presence of the insert by using PCR with M13 primers. DNA was sequenced with a Taq dye deoxy Terminator cycle sequencing kit (Applied Biosystems, Foster City, CA) and capillary electrophoresis on a Prism automated sequencer (Applied Biosystems, Foster City, CA).
Real-time PCR. PBMC were thawed, counted, and lysed in RNA Stat-60. Liver biopsy fragments were placed directly in RNAlater (Ambion, Austin, TX) solution and stored in liquid nitrogen until used. Biopsy tissue removed from RNAlater was homogenized in RNA Stat-60 by using a syringe and fine needle. cDNA was synthesized with a 3' constant region primer appropriately diluted in Tricine-EDTA solution. Real-time quantitative PCR was performed with clonotype-specific primers and probes. Probes were labeled with 6'-carboxyfluorescein and 6-carboxytetramethylrhodamine quencher (Applied Biosystems, Foster City, CA). Unique plasmid clones were used as standards for each clonotype and serially diluted to generate a standard curve. The frequency of a particular clonotype was calculated by dividing the clonotype copy number by the total T-cell copy number (based on total constant region amplification). Samples were run in triplicate. Negative controls for each experiment included a control without template, cDNA derived from human PBMC, and cDNA from an unrelated chimpanzee. When experiments were run at different times or in several plates, a high and low control were also included as a quality control measure. Standard curves of the results from several different experiments were compared (data not shown) to ensure that the plasmid standards did not degrade over time. Full details of all primers, fluorescent probes, components, and cycling temperatures are available upon request.
Statistical analysis. Real-time PCRs for the clonotype analysis and constant region were done in triplicate. The standard error was calculated according to the formula SQRT{[SD(x)2/mean(x)2 + SD(y)2/mean(y)2 – 2 x correlation(x,y) x SD(x) x SD(y)/[mean(x) x mean(y)]]/n}, where x and y are quantities of clonotype and total TCR, respectively; n is the number of replicates for each sample; SQRT is square root; and SD is standard deviation.
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FIG. 1. Tetramer frequency of p7756-specific T cells as the percentage of CD8+ T cells in animal CB0556 2 weeks after rechallenge infection. PE, phycoerythrin; APC, allophycocyanin.
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FIG. 2. TCR beta repertoire of chimpanzee CB0556. TCR beta sequences of A*0701/p7756 tetramer-specific CD8+ T cells from PBMC of animal CB0556 sampled 2 weeks postinfection (A), TCR repertoire of A*0701/p7756 tet– CD8+ T cells 2 weeks postinfection (B), and TCR beta sequences of A*0701/p7756 tetramer-specific CD8+ T cells obtained after two rounds of in vitro expansion of PBMC of animal CB0556 sampled 13 weeks postinfection (C). The purity of the sorted T cells was at least 98%. Clonotypes in bold letters were selected for T-cell tracking by real-time PCR. *, clonotypes also found in direct-sort TCR repertoire. TRBV, T-cell receptor beta chain variable region; TRBJ, TCR beta chain joining region.
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In addition to the PCR primer set specific for CB0572, we designed two primer sets for the dominant clonotypes within the tet+ population of CB0556 (Fig. 2). The baseline memory frequencies (before HCV reinfection) of TCR clonotypes in the peripheral blood for the p7756 Patr A*0701 epitope were 0.0008% (TRBV27-PEG) and 0.0002% (TRBV6-3-QEST) of total T cells. In the liver, the corresponding frequency of TRBV27-PEG was 0.07% and of TRBV6-3-QEST was 0.05%. Peak viremia reached 100,000 copies/ml by day 7, at which time the blood frequencies of these two clones were 0.005% (TRBV27-PEG) and 0.002% (TRBV6-3-QEST) and the liver frequencies were 0.1% (TRBV27-PEG) and 0.4% (TRBV6-3-QEST). The enhanced kinetics of the response in the liver also coincided with higher peak clonotype frequencies in the liver for each T-cell clone. By 2 weeks after rechallenge, virus was almost cleared (viral load of 64), and by this time the clonotype frequencies in peripheral blood had increased approximately 1,000-fold, to 2.09% for TRBV27-PEG and 0.8% for TRBV6-3-QEST. In the liver, the peak responses were 4.5% for TRBV27-PEG and 4% for TRBV6-3-QEST (Fig. 3).
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FIG. 3. Clonotype frequency of two p7756-770 peptide-specific (AASLAGTHGLVSFL; restricted by Patr A*0701) and dominant TCR clonotypes measured using real-time PCR assay of PBMC (solid lines) and liver biopsy samples (dotted lines) of HCV-infected chimpanzee (CB0556). Each point indicates the mean of triplicate values and its standard error. Open symbols indicate undetectable levels of the specific clonotype, and the minimal detectable frequency was calculated by using the lowest limit of detection on the standard curve as the nominator. The sensitivity of detection of each clonotype was at least 10 copies as measured by using molecularly cloned TCRs. The three vertical lines indicate the administration of three doses of anti-CD8 antibody. Week 0 indicates the times of HCV infection. GE, genome equivalents.
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FIG. 4. Clonotype frequency of E2445-457 peptide-specific (HKFNSSGCPERL; restricted by Patr B*2301) and dominant TCR clonotype measured using real-time PCR assay in PBMC (solid line) and liver biopsy samples (dotted line) of HCV-infected chimpanzee (CB0572). Each point indicates the mean of triplicate values and its standard error. Open symbols indicate undetectable levels of the specific clonotype, and the minimal detectable frequency is calculated by using the lowest limit of detection on the standard curve as the nominator. The sensitivity of detection of this clonotype is at least 10 copies as measured by using the molecularly cloned TCR. The three vertical lines indicate the administration of three doses of anti-CD8 antibody. Week 0 indicates the times of HCV infection. GE, genome equivalents.
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We observed a similar pattern of TCR clonotype frequency in chimpanzee CB0572. After CD8 depletion, the 5A clonotype was still detectable at very low levels in the liver (0.09%) and blood (0.00016%), with a striking 3-log difference in frequencies of the clonotype between the two compartments (Fig. 4). Perhaps reflecting the efficiency of CD8+ T-cell depletion, there were few T cells in the liver on day 14, and the clonotype frequency was <0.015%. However, the clonotype was detectable at days 28 (0.07%) and 42 (0.03%), by which time virus was cleared (Fig. 4). Throughout this time, the clonotype was present at a persistently low level in peripheral blood. Therefore, in each animal, HCV clonotypes persisted in the liver at higher frequencies than in peripheral blood even after nearly complete CD8+ T-cell depletion.
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In both animals, the rapid resolution of viremia after rechallenge temporally coincided with massive expansion of the dominant memory T-cell clonotype, highlighting the importance of memory CD8+ T cells to the outcome of infection. While immunological memory conferred by the spontaneous resolution of acute hepatitis C does not protect against reinfection, it does significantly reduce the time of viremia upon reexposure. Here we show that despite the effective depletion of CD8+ T cells, each animal was able to clear virus, albeit at a lower rate. In a previous study (18), we documented that viral clearance was associated with the return of a detectable number of CD8+ T cells in the periphery and with the ability to expand HCV-specific T cells from the liver and peripheral blood. Here we show that at the clonotype level, the number of HCV-specific T cells remaining after depletion was several logs lower in peripheral blood than in the liver. These cells persisted in the liver after rechallenge, and in the case of animal CB0556, the slower clearance of virus was associated with a smaller peak frequency of these clonotypes, followed by a gradual decay in frequency.
The inability of these clonotypes to expand robustly after HCV challenge in the setting of CD8+ depletion may be due to the persisting effect of the depleting antibody in these animals. In animal CB0556, the predepletion CD8+ T-cell number was 1,328 cells/mm3. Even though this animal cleared virus by day 42, the absolute number of CD8+ T cells was only 5 cells/mm3 by day 42, and 12 months after the depletion, CD8+ T cells in the periphery had only recovered to 634 cells/mm3. For animal CB0572, the predepletion CD8+ T-cell number was 1,073 cells/mm3. This animal had a CD8+ T-cell nadir of 1 CD8+ T cell/mm3 after antibody-mediated CD8+ T-cell depletion and also cleared virus completely by day 42, at which time the absolute CD8+ T-cell number was 146 cells/mm3. Twelve months after the depletion, CD8+ T cells had only recovered to 256 cells/mm3. We did not track the frequencies of total CD8+ T cells in the liver of these animals, but in other animals given the cM-T807 antibody with the same infusion protocol, there was a virtual absence of CD8 alpha and beta chain transcripts in the liver through day 56 after the first infusion (data not shown). Our continued ability to detect these epitope-specific T-cell clonotype transcripts in the liver suggests that they made up a significant fraction of the CD8+ T cells during peak viremia.
Despite the potential advantages of real-time PCR for tracking T-cell clonotypes, there are a few caveats to the interpretation of these data. Since we are measuring RNA transcripts, it is possible that activated T cells may generate more TCR transcripts per cell than resting memory cells, in which case this method would overestimate the actual T-cell frequency. However, our results tracked closely with the actual tetramer frequency in peripheral blood (1%, 0.58%, and 0.2% at week 4, 8, and 24, respectively) and the liver (4.4%, 3.4%, and 1.8% at week 4, 8, and 24, respectively) of chimpanzee CB0572 over the course of infection (18). It is also possible that primer efficiencies can differ when primer selection is based on the limited number of nucleotides present within the CDR3 region of the TCR beta chain. For the four primers described here, this did not appear to be a significant problem, and the efficiency of amplification was equal to or greater than that of our TCR beta chain constant region primers. Furthermore, the hierarchy of TCR sequence frequency obtained from direct sorting of tet+ T cells was identical to that measured by real-time PCR (Fig. 1A, 2, and 3).
Tracking of individual T-cell clonotypes has been used in studies of immune-based neurological disorders (15) and can be adapted to the study of T-cell clonotype expansion within peripheral blood or tissue from stored samples in any system where T cells are characterized at a time after the samples are obtained. Recent studies have characterized TCR clonotypes implicated in the pathogenesis of aplastic anemia (16) and have assessed the repertoire and frequency of melanoma-specific T-cell clonotypes in peripheral blood and tumors after therapeutic vaccination (4, 21). TCR transcript quantitation in these studies was performed via limiting dilution PCR; however, real-time PCR allows a rapid simultaneous quantitative assessment of clonotypes in peripheral blood and tissues and does not rely on prior knowledge of epitope specificity.
In this study, we confirmed that the rapid expansion of virus-specific T cells occurs as quickly as 7 days postinfection, the kinetics of clonotype expansion and contraction coincide with the clearance of viremia, and the frequencies of HCV-specific clonotypes are always higher in the liver than in PBMC. Even in the setting of robust CD8+ T-cell depletion, these clonotypes persist at low levels in the liver throughout challenge. The ability to perform such experiments on stored samples will greatly enhance our understanding of T-cell kinetics and homing during acute and memory immune responses.
This study was supported by NIH grant U19 AI048231. D.M.-O. was supported by grants from the Kompetenznetz HIV/BMBF and Helmholtz Zentrum für Infektionsforschung.
Published ahead of print on 20 August 2008. ![]()
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