Literature DB >> 28261218

The T Cell Response to the Contact Sensitizer Paraphenylenediamine Is Characterized by a Polyclonal Diverse Repertoire of Antigen-Specific Receptors.

Theres Oakes1, Amy Lee Popple2, Jason Williams3, Katharine Best1, James M Heather1, Mazlina Ismail1, Gavin Maxwell4, Nichola Gellatly4, Rebecca J Dearman2, Ian Kimber2, Benny Chain1.   

Abstract

Paraphenylenediamine (PPD) is a common component of hair dyes and black henna tattoos and can cause skin sensitization and allergic contact dermatitis (ACD). The cutaneous inflammatory reaction associated with ACD is driven by both CD4+ and CD8+ T cells. However, the characteristics of such responses with respect to clonal breadth and magnitude are poorly defined. In this study, we have characterized the in vitro recall response of peripheral blood T cells prepared from PPD-allergic individuals to a PPD-human serum albumin (HSA) conjugate (PPD-HSA). Quantitative high throughput sequencing was used to characterize the changes in the repertoire of T cell receptor (TCR) α and β genes after exposure to antigen in vitro. The PPD conjugate induced expansion of T cells carrying selected TCRs, with around 800 sequences (around 1%) being 8 or more times as abundant after culture than before. The expanded sequences showed strong skewing of V and J usage, consistent with an antigen-driven clonal expansion. The complementarity-determining region 3 sequences of the expanded TCRs could be grouped into several families of related amino acid sequence, but the overall diversity of the expanded sample was not much less than that of a random sample of the same size. The results suggest a model in which PPD-HSA conjugate stimulates a broad diversity of TCRs, with a wide range of stimulation strengths, which manifest as different degrees of in vitro expansion.

Entities:  

Keywords:  T cell immunity; T cell receptor repertoire; allergic contact dermatitis; paraphenylenediamine; skin sensitizer

Year:  2017        PMID: 28261218      PMCID: PMC5311069          DOI: 10.3389/fimmu.2017.00162

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


Introduction

Allergic contact dermatitis (ACD) is a T cell-mediated skin disease. It results from the acquisition of skin sensitization to chemicals (metal ions and organic chemicals) encountered at skin surfaces (1). ACD is the most common manifestation of immunotoxicity in humans and can be caused by a wide array of chemicals including nickel (jewelry), fragrances, preservatives, rubber (gloves), dye (hair colorants), adhesives of various kinds, and topical medications, including antibiotics. Little is known about what drives variation in the human immune response to sensitizing chemicals, and consequently a better understanding of the molecular and cellular events that underlie skin sensitization would help improve the safety assessment of the sensitizing properties of new chemicals (2), as well as potentially leading to improved therapeutic strategies. Both CD4+ and CD8+ T cells, interacting with dendritic cells and keratinocytes (3), have been implicated in ACD, but current models suggest CD8+ effector T cells play a major role in the elicitation of contact allergic reactions in mice (4, 5) and probably also in humans (6). Studies in mouse models of skin sensitization have shown that strong skin sensitizers induce an oligoclonal T cell response with a high frequency of CD8 effector T cells (7). The details of the recognition by T cells of chemical allergens are still poorly understood. An exception is the response to divalent metal cations such as nickel, which is a common cause of ACD. Metal ions have been shown to bind directly to major histocompatibility complex (MHC) molecules or to peptide/MHC complexes, thus creating new antigenic determinants that are recognized as foreign by the T cell compartment (8). As skin-sensitizing chemicals are haptens, and too small to trigger immune responses by themselves, it has been proposed that the vigor of the immune response elicited by different sensitizing chemicals (and thereby their relative potency) might correlate with chemical reactivity and their ability to form stable associations with proteins or peptides (9–11). Greater chemical reactivity has been suggested to translate into a broader range of modified peptides, creating a wider range of potential T cell epitopes and hence driving a broader and stronger T cell response (12). A global analysis of the repertoire of antigen receptors expressed on T cells that respond to a skin sensitizer may provide further insight into the processes, which drive skin sensitization and ACD. In so doing, our aim has been to develop a quantitative, mechanistic understanding of how the dose of chemical sensitizer exposure relates to the likelihood of inducing skin sensitization in humans. It is anticipated that such understanding will inform and improve the safety assessment of chemicals (2, 13). Recent advances in massively parallel high throughput sequencing have opened the possibility of global analysis of the T cell repertoire, and several protocols have been reported. We have developed a robust single-strand DNA ligation protocol, which tags each molecule of T cell receptor (TCR) αβ messenger RNA in a sample with a unique molecular barcode before PCR amplification and sequencing (14). The most important aspect of our protocol is that it allows us to collect quantitative repertoire data that accurately reflect TCR abundance. Specifically, the molecular barcode allows us effectively to correct both for PCR bias and for sequencing error at the analysis stage (15). This is not currently possible using the commercial DNA-based TCR sequencing platforms. We have also developed a suite of software tools for the analysis of the TCR data obtained, which can be used to process the raw sequence files and assign a unique unambiguous V, J, and complementarity-determining region (CDR)3 to each sequence (16). In the investigations described here we have applied these experimental techniques to characterize the in vitro response of T cells from individuals sensitized to paraphenylenediamine (PPD), a component of some hair dyes (17) and a strong skin sensitizer (18). PPDhuman serum albumin (HSA) conjugate is shown to induce proliferation of a subset of peripheral blood T cells from sensitized individuals. This proliferative response is associated with increased abundance of a small proportion of TCRs, with a highly skewed V and J gene usage. The repertoire of expanded TCRs reflects antigen-driven proliferation of diverse sets of sequence-related TCRs.

Patients and Methods

Donor Characteristics

Patients were recruited from those attending the Contact Dermatitis Investigation Unit at Salford Royal Hospital for diagnosis (by epicutaneous patch testing) of contact allergy. Peripheral blood samples (20 ml) were drawn from patients (n = 56), diagnosed as being sensitized to PPD into lithium heparin-coated collection tubes (Thermo Fisher Scientific) (15 IU/ml). All patients were patch-tested to the hospital standard battery and additional relevant series and their own products using Finn Chambers® on Scanpor®tape. Readings were undertaken at 48 h (day 2) and 96 h (day 4) according to ICDRG guidelines. Blood samples were obtained from patients who were positive to PPD and graded as + (weak; n = 20), ++ (strong; n = 29), and +++ (extreme; n = 7). The study was approved by NRES Ethics Committee North West, Greater Manchester East (12/NW/0602), and all patients gave written informed consent.

Peripheral Blood Mononuclear Cell (PBMC) Isolation and Phenotyping by Flow Cytometric Analysis

Peripheral blood mononuclear cells were prepared by density gradient centrifugation with Histopaque1077 (Sigma-Aldrich). Briefly, 20 ml of whole blood was layered onto 15 ml of Histopaque1077, the samples were centrifuged at 500 × g for 30 min, and PBMC layers were collected and counted with a hemocytometer. An aliquot (1 × 106 cells) of PBMCs from each sample was stored at −80°C in heat-inactivated human AB serum (Sigma-Aldrich) containing 10% dimethyl sulfoxide. The frequencies of different cell populations were analyzed in these previously frozen samples by the use of multiparameter flow cytometry. Surface staining with anti-human CD4–allophycocyanin (APC), anti-CD8–APC, anti-CD45RA–fluorescein, and anti-CD27–R-phycoerythrin-Cy5 antibodies was carried out in flow cytometry staining buffer for 30 min at 4°C (all reagents from eBioscience). The viability of each sample was determined by the use of forward-scattered and side-scattered light parameters for size exclusion, and an unstained control sample and appropriate isotype controls were used for setting gates. Single stains with anti-human CD3 antibodies coupled to different fluorophores were used to assess compensation settings prior to acquisition, and to establish a compensation matrix for data analysis. At least 10,000 cells were analyzed on a FACS-calibur™ flow cytometer (Becton Dickinson) by the use of FlowJo software (Tree Star). T lymphocyte subsets were identified by CD4 and CD8 expression analysis. Subsequent multiparameter quadrant analysis on these T lymphocyte populations further characterized phenotypes using CD45RA and CD27 (19). Thus, naive cells were defined as CD45RA+ CD27+, central memory (CM) cells as CD45RA− CD27+, effector memory (EM) cells as CD45RA− CD27−, and EM RA positive (EMRA) cells as CD45RA+ CD27−.

Generation of PPD–HSA Conjugate

A solution of HSA (Sigma-Aldrich) at 10 mg/ml (150 µM) and 15 mM PPD (Sigma-Aldrich; ×100 molar excess) was dissolved in 10 ml of phosphate-buffered saline (PBS). The reaction mixture was stirred at room temperature for 48 h, and the solution was dialyzed against PBS for a further 72 h, with the PBS being changed every 4–12 h. The solution was lyophilized, and the conjugate was then stored as a powder at −80°C or dissolved in PBS and stored at −20°C for use in in vitro assays. The degree of HSA modification by PPD was measured by hapten–protein substitution analysis. Briefly, 200 µl of PPDHSA or HSA at 10 mg/ml in PBS and PBS alone were incubated at room temperature for 20 min with 5 µl of 0.03 M 2,4,6-trinitrobenzenesulfonic acid (Sigma-Aldrich). The optical density was measured at 405 nm on a Biotek reader.

[3H]Thymidine Proliferation Assay

The culture medium consisted of RPMI-1640 supplemented with l-glutamine (2 mM), 10% heat-inactivated human AB serum, HEPES (1%), penicillin (100 U/ml), and streptomycin (100 µg/ml) (all from Sigma-Aldrich). PBMCs were cultured in 96-well flat-bottomed plates, at 1 × 105 cells/well, in 200 µl of complete medium, in the presence of PPDHSA (0.01–100 µg/ml) or HSA only (0.01–100 µg/ml) for 6 days. Each well was pulsed at 120 h with 22.2 μBq of [3H]thymidine; the cells were then harvested and processed for β-scintillation counting 16 h later. A positive proliferative response was defined as one that resulted in a proliferation index of ≥2.5 as compared with control (medium only) cells. Stimulation with irrelevant antigen controls resulted in proliferation indices of <2.5.

TCR Sequencing

RNA was isolated from 5 × 106 ex vivo PBMCs derived from PPD-sensitized donors using an RNeasy MiniKit (Qiagen). The remaining PBMCs were cultured for 6 days in 96-well flat-bottomed plates, at 1 × 105 cells/well, in 200 µl of complete medium, in the presence of 100 µg/ml PPDHSA, 100 µg/ml HSA, or medium only. Cells from six wells per condition were pooled, and RNA was isolated using the RNeasy MicroKit (Qiagen). Up to 500 ng of RNA were DNase-treated to remove residual genomic DNA using RQ1 DNase (Promega). cDNA was generated using two TCR gene-specific primers (αRC2 and βRC2), and following the manufacturer’s instructions for SuperScript III (Invitrogen) in final volume of 30 µl with the exception that RNasin (Promega) was used instead of RNaseOUT. cDNA was purified and concentrated using MinElute columns (Qiagen). The following ligation reaction was used as part of a 5′-RACE strategy to label every cDNA molecule uniquely with a barcode (or unique molecular identifier) containing 12 random nucleotides: 10 µl cDNA, 1× T4 RNA ligase buffer (NEB), 1.5 µM BSA (NEB), 1 mM hexammine cobalt chloride, 0.33 mM ATP (NEB), 0.33 µM ligation oligo (6N_I8.1_6N_I8.1_SP2, Sigma), 10 µl of 50% PEG8000 (NEB), and 20 units T4 RNA ligase 1 (NEB) in a total reaction volume of 30 µl. Samples were incubated at 16°C for 16 h and the enzyme inactivated at 65°C for 10 min. Also, 70 µl of water were added before the reaction was purified at a 1:2 bead:sample ratio using AMPure XP SPRI beads (Beckman Coulter) according to manufacturer’s instructions and eluting in 30–35 µl water. Next, two consecutive PCR reactions were performed to amplify the samples and introduce index sequences to multiplex several samples on one sequencing run as well as introduce sequences essential for the sequencing reaction. The conditions for PCR 1 were 1× HF buffer (NEB), 0.5 µM of αRC1, βRC1.1, βRC1.2, and SP2 primers, 0.5 mM dNTPs (Life Technologies), and 1 unit Phusion polymerase (NEB). The 50 µl reactions were run on a Thermal cycler; initial cycle: 98°C, 3 min; cycle 1–4: 98°C, 15 s; 69°C, 30 s, and 72°C 40 s; final cycle: 72°C, 5 min. The PCR product was purified with AMPure beads (ratio 0.8:1 bead:sample) and eluted in 30 µl water. The second PCR was performed as a qPCR (ABI 7500), so that the reaction could be halted when enough material had been amplified. A CT threshold of 0.01 resulted in sufficient material for sequencing, and 14–18 cycles of qPCR were usually needed to reach that threshold. TCRα and β chains were amplified separately. A 25 µl reaction contained 12.4 µl sample, 1× HF buffer (NEB), Cybrgreen (Life Technologies), 0.25 µM dNTPs, Rox (Life Technologies), 0.05 µM of primers SP1-6N-I-X-αRC1 or SP1-6N-I-X-βRC1.1+1.2, SP1-P5 and P7-LX and 0.5 units Phusion (NEB). The samples were purified as before, and final products were quantified using a Qubit fluorometer (Life Technologies) and fractionated on a TapeStation (Agilent). Mixes of up to 12 samples were sequenced on an Illumina MiSeq, using version 2 chemistry 2x250PE kits. Sequences were first demultiplexed, according to the two indices that had been introduced into each sample, using a custom Python script. A modified version of Decombinator (16) was then used to identify the V and J region used, the number of nucleotide deletions from the V and the J gene, the inserted nucleotides, and the barcode information. Finally, a custom PCR- and sequencing-error correction script was used to quantify the number of TCRs sequenced. The Python scripts are available at https://github.com/innate2adaptive/Decombinator. The raw sequence data fastq files are available at the NCBI Short Read Archive with accession numbers SAMN06270339, SAMN06270340, SAMN06270341, SAMN06270342, SAMN06270343, SAMN06270344, SAMN06270345, and SAMN06270346.

Results

The proliferative response of peripheral blood T cells from a cohort of individuals with ACD (as diagnosed by patch test result and clinical history) to PPD was measured in vitro. In preliminary studies we added free PPD to the culture wells, but the chemical proved to be cytotoxic at higher concentrations, and the proliferative response was therefore difficult to quantify reproducibly. Instead, we made conjugates of PPD and HSA and measured the response to the chemical conjugate. As described previously (20), we observed a dose-dependent proliferative response to PPDHSA, with significantly increased [3H]thymidine incorporation at 10 and 100 µg/ml conjugate (Figure 1A). Further experiments used 100 µg/ml as this gave the maximum proliferation. The proliferation showed a trend to correlation with patch test score (Figure 1B) although there was substantial variability in the proliferation observed in patients with high score, such that the correlation did not reach statistical significance with this number of patients.
Figure 1

Proliferation . (A) Median, interquartile range, and 95th percentile thymidine incorporation for all samples as a function of in vitro antigen dose. Stars indicate significant difference by one-way ANOVA (*p < 0.05; **p < 0.001). (B) Thymidine incorporation using 100 µg/ml PPD–HSA as a function of patient patch test result.

Proliferation . (A) Median, interquartile range, and 95th percentile thymidine incorporation for all samples as a function of in vitro antigen dose. Stars indicate significant difference by one-way ANOVA (*p < 0.05; **p < 0.001). (B) Thymidine incorporation using 100 µg/ml PPDHSA as a function of patient patch test result. We looked in further detail at the phenotypic changes observed in the proliferation cultures. The flow cytometry results on a typical sample with high in vitro antigen-specific proliferation (1 of 12 independent experiments analyzed) is shown in Figure 2A, and the accompanying proliferation to PPDHSA and to the HSA control are shown in Figure 2B. The CD4 and CD8 cells were analyzed separately and stained with a combination of CD27 and CD45RA to define naive, CM, EM, and EM CD45RA revertants (EMRA) (19). The in vitro culture contained a smaller proportion of fewer CD8+ naïve cells (perhaps because of selective cell death). The addition of antigen (PPDHSA, 100 µg/ml) caused a small shift from CM to EM in both CD4+ and CD8+ populations, when compared to cells cultured in medium alone. This effect albeit small was seen consistently. The mean decrease in CM CD4+ was 9% (SEM = 2.5, n = 5), and the corresponding increase in EM CD4+ was 9 (SEM = 2.6, n = 5). The mean decrease in CM CD8+ was 2% (SEM = 1.0, n = 5), and the corresponding increase in EM CD4+ was 2% (SEM = 0.8, n = 5). HSA alone caused similar phenotypic changes, suggesting some non-specific carrier-dependent effect. However, thymidine incorporation indicates less cell proliferation in response to HSA, suggesting that HSA may induce phenotypic maturation with less proliferation than PPDHSA.
Figure 2

Memory phenotype and thymidine proliferation for patient 91. (A) Flow cytometry showing the four populations of naïve, central memory, EM and EMRA as defined by the combination of CD45RA and CD27 expression for CD4 (left) and CD8 (right). The top row shows phenotype of cells directly ex vivo, while the lower two rows show the phenotype after in vitro culture with or without antigen as shown. (B) Proliferation (thymidine incorporation) in response to paraphenylenediamine (PPD)–human serum albumin (HSA) (filled) or HSA (mean and SD, 4 replicate cultures per point). NT, not tested. *p < 0.05 (Student’s t-test).

Memory phenotype and thymidine proliferation for patient 91. (A) Flow cytometry showing the four populations of naïve, central memory, EM and EMRA as defined by the combination of CD45RA and CD27 expression for CD4 (left) and CD8 (right). The top row shows phenotype of cells directly ex vivo, while the lower two rows show the phenotype after in vitro culture with or without antigen as shown. (B) Proliferation (thymidine incorporation) in response to paraphenylenediamine (PPD)–human serum albumin (HSA) (filled) or HSA (mean and SD, 4 replicate cultures per point). NT, not tested. *p < 0.05 (Student’s t-test). Interestingly, we noted that the ex vivo CD4 and CD8 populations showed a profound depletion in the proportion of EM populations in vivo, compared to the values reported previously (19). This observation was consistent among different patients and replicates an observation made previously on PBMC from patients with allergy to methylisothiazolinone (21). Since we did not have access in this study to blood samples taken before the patch test, we could not determine whether the observation related to allergic status or as a response to the exposure to PPD in the diagnostic patch test, so this observation was not pursued further. We next examined the TCR repertoire of the T cells cultured in vitro. The T cells were collected after culture, pooled to give 0.5–1 × 106 T cells, and processed for TCRα and TCRβ sequencing. The pipeline generates a list of distinct TCR sequences for each sample, together with an abundance indicating the number of times the sequence is found within that sample. The abundance of each distinct TCR found in the ex vivo and in the in vitro stimulated samples (HSA or PPDHSA) was plotted. We find a clear expansion of TCRα and β sequences following PPDHSA stimulation that do not expand following HSA stimulation but are present at lower frequency in the HSA only as well as in the ex vivo sample. For each distinct TCR sequence identified after 6 days of culture, we then calculated a stimulation index (SI), defined as the logarithm (base 2, equivalent to the number of cell doublings if cell death is ignored) of the abundance in the in vitro culture relative to the abundance in the ex vivo sample. The abundance of the TCRs that were absent from the ex vivo sample (due to sampling) is estimated as 1 (since abundances of ex vivo samples have a mean of 1.3, median of 1, and TCRs observed in vitro after proliferation must have been present at the start of the proliferation assay with an abundance of at least 1). The SI for cultures with medium alone or in the presence of antigen (PPDHSA, 100 µg/ml) is shown in Figure 3A. The majority of TCRs show no change or a slight decrease in frequency following in vitro culture. This is consistent with the overall stability of phenotype seen after culture in vitro. However, a small number of sequences are found at much higher abundance after culture in the presence of antigen. The number of distinct TCRs with an SI greater than 3 (eightfold increase or three divisions) in cultures with medium alone, PPDHSA, or HSA alone is shown in Figure 3B. The qualitative pattern observed is similar to the pattern of thymidine incorporation shown in Figure 2B. The approximately 800 expanded TCRα and TCRβ sequences are equivalent to about 0.8% of the total number of TCRs detected, reflecting the specificity of the proliferative response observed.
Figure 3

(A) Stimulation index (SI) distribution for in vitro T cell receptors (TCRs). The SI is calculated as the logarithm (base 2) of the abundance in the in vitro culture with medium alone (empty bars) or stimulated with 100 µg/ml paraphenylenediamine (PPD)–human serum albumin (HSA) (filled bars) relative to the abundance in the ex vivo sample. The abundance of the TCRs that are absent from the ex vivo sample is estimated as 1 (mean abundance in ex vivo samples is 1.3). (B) The number of TCRs with a SI > 3 (i.e., more than eightfold expanded in in vitro culture) for cultures in medium, HSA, or PPD–HSA.

(A) Stimulation index (SI) distribution for in vitro T cell receptors (TCRs). The SI is calculated as the logarithm (base 2) of the abundance in the in vitro culture with medium alone (empty bars) or stimulated with 100 µg/ml paraphenylenediamine (PPD)–human serum albumin (HSA) (filled bars) relative to the abundance in the ex vivo sample. The abundance of the TCRs that are absent from the ex vivo sample is estimated as 1 (mean abundance in ex vivo samples is 1.3). (B) The number of TCRs with a SI > 3 (i.e., more than eightfold expanded in in vitro culture) for cultures in medium, HSA, or PPDHSA. We next compared the abundance (Figure 4A) or the frequency (Figure 4B) of the TCRs that were expanded in the PPDHSA cultures, in the HSA only, medium only (in Figure 4A only), or ex vivo repertoire. In general, the TCRs expanded in PPDHSA were not observed at high abundance in the other cultures. However, in many cases, the sequence was simply not observed in the corresponding other cultures. This could have been due to differential amplification or sampling (i.e., the relevant precursor was not present in the culture at the start). In order to look more carefully at specificity, we plotted the abundance of all the clones shown in Figure 4A, which were also present at least once in the HSA culture (Figure 4C). The abundance of the TCRs varied quite broadly, with some TCRs showing abundances of >500 after culture in PPDHSA. In contrast, abundances in the HSA cultures were always less than 10, suggesting that the expansion observed was specific to the presence of the PPD hapten.
Figure 4

The relative T cell receptor (TCR) abundances in different . (A) Heat map showing the abundance of each TCR with a stimulation index (SI) > 8 in paraphenylenediamine (PPD)–human serum albumin (HSA) cultures, in cultures with medium alone, HSA, or in the ex vivo (PB) sample. Each row of the heat map is a distinct TCR gene sequence, colored according to its abundance. The TCRs are ranked in order of their abundance in the PPD–HSA cultures. (B) The relative frequency of TCR in PPD–HSA (x axis) cultures versus HSA alone (y axis). Each dot represents a distinct TCR, and the color represents frequency in the PB sample. (C) Histograms of the abundances in all four repertoires of all TCRs with an SI > 8 in PPD–HSA cultures and an SI > 1 in HSA cultures.

The relative T cell receptor (TCR) abundances in different . (A) Heat map showing the abundance of each TCR with a stimulation index (SI) > 8 in paraphenylenediamine (PPD)–human serum albumin (HSA) cultures, in cultures with medium alone, HSA, or in the ex vivo (PB) sample. Each row of the heat map is a distinct TCR gene sequence, colored according to its abundance. The TCRs are ranked in order of their abundance in the PPDHSA cultures. (B) The relative frequency of TCR in PPDHSA (x axis) cultures versus HSA alone (y axis). Each dot represents a distinct TCR, and the color represents frequency in the PB sample. (C) Histograms of the abundances in all four repertoires of all TCRs with an SI > 8 in PPDHSA cultures and an SI > 1 in HSA cultures. We examined whether the TCRs that had expanded in the presence of PPDHSA (SI > 3) represented a population, which had been pre-expanded in vivo. Figure 5 shows the abundance of the PPDHSA expanded TCRs in the ex vivo pre-expansion sample. The distribution is compared to the overall abundance distribution in the ex vivo sample from the same donor. The histogram for the expanded set of TCRs shows a clear shift toward higher abundance, with >20% of the expanded TCRs having an abundance of >2 in the PBMC sample. Thus the set of TCRs, which expand in vitro are already present at higher frequencies than average in vivo, consistent with being derived from an allergen-induced memory T cell response.
Figure 5

The abundance distribution of all complementarity-determining region (CDR)3 in the . Asterisk shows those values for which the proportion differs significantly (p < 0.01) using the z-test for proportions.

The abundance distribution of all complementarity-determining region (CDR)3 in the . Asterisk shows those values for which the proportion differs significantly (p < 0.01) using the z-test for proportions. Several previous studies have reported that antigen-specific responses often favor specific V genes [e.g., Ref. (22)]. We therefore compared the frequency of each V and J α and β gene in the PPDHSA expanded TCRs with their frequency in the ex vivo pre-culture sample (Figure 6). Since the size of the set of expanded TCRs is rather small (in the order of 800) we selected 100 repeated samples from the ex vivo repertoire to estimate sampling heterogeneity. We then plotted the frequency in the antigen-expanded sample with the frequency in blood. The majority of genes fell in or near the diagonal, indicating a similar frequency in PBMC and in antigen cultures. However, for both V and J genes, one or more gene showed substantial changes after culture. TRAV29/DV5, for example, was present at 10 times its frequency in the matched PBMC sample (Figure 6). Thus in vitro culture with PPDHSA conjugate drives selective expansion of TCRs with skewed V and J gene usage.
Figure 6

V and J gene usage in paraphenylenediamine–human serum albumin expanded T cell receptors (TCRs) compared to random TCRs. For each V or J gene, the abundance in the expanded TCR set illustrated in Figure 4A is shown along the y axis, and the abundance (mean plus 2 SDs) in 100 equal-sized random samples of TCRs drawn from the ex vivo repertoires is shown along the x axis. The full names of those genes, which differ significantly from the diagonal (i.e., are over- or underrepresented in the expanded set) are shown.

V and J gene usage in paraphenylenediaminehuman serum albumin expanded T cell receptors (TCRs) compared to random TCRs. For each V or J gene, the abundance in the expanded TCR set illustrated in Figure 4A is shown along the y axis, and the abundance (mean plus 2 SDs) in 100 equal-sized random samples of TCRs drawn from the ex vivo repertoires is shown along the x axis. The full names of those genes, which differ significantly from the diagonal (i.e., are over- or underrepresented in the expanded set) are shown. The TCR region with the greatest contact with antigen/MHC complex is the CDR3 loop. The relationship between two CDR3 sequences can be captured by the Levenshtein distance, the number of changes (i.e., substitution, deletion, and addition) required to transform one CDR3 into the other. The amino acid sequences of the 800 expanded TCRs were clustered according to their Levenshtein distance matrix (Figure 7A). The sequences fall into a number of families of closely related sequences. A multisequence alignment of the subtree containing the most abundant TCRβ CDR3 member is illustrated as an example (Figure 7B). The sequences within a family show a high degree of conservation, especially toward the N terminal part of the sequence. However, the overall average Levenshtein distance between all expanded CDRs (α = 9.53, β = 8.61) is only slightly smaller than between a random sample of ex vivo (pre-expanded) TCRS (α = 9.81, β = 9.47). PPDHSA exposure therefore drives the expansion of families of TCRs, which are strongly conserved within a family but weakly related or unrelated between families.
Figure 7

The sequence relationship between the complementarity-determining region (CDR3)β sequences of the T cell receptors (TCRs), which are expanded [stimulation index (SI) > 3] after culture in the presence of paraphenylenediamine–human serum albumin. (A) Unrooted tree of all expanded TCRβ CDR3 clustered according to Levenshtein distances (Ward agglomerative clustering). (B) Multiple sequence alignment and sequence logo of the subtree of (A) containing the most expanded CDR3β sequence.

The sequence relationship between the complementarity-determining region (CDR3)β sequences of the T cell receptors (TCRs), which are expanded [stimulation index (SI) > 3] after culture in the presence of paraphenylenediaminehuman serum albumin. (A) Unrooted tree of all expanded TCRβ CDR3 clustered according to Levenshtein distances (Ward agglomerative clustering). (B) Multiple sequence alignment and sequence logo of the subtree of (A) containing the most expanded CDR3β sequence.

Discussion

Paraphenylenediamine is widely used as a hair dye (17) and as a component of black henna tattoos (23), and the overall prevalence of PPD contact allergy was 0.8% in a recent study of European populations (18). The immune response to PPD, therefore, serves as a good model with which to study the immune response to contact allergens and to understand better the nature of allergen recognition. In this study we analyzed the T cell response to PPD at the level of TCR repertoire, highlighting the breadth of TCRs associated with antigen-induced proliferation. The response to PPD, and to contact allergens in general, is believed to reflect a T cell response, comprising both CD4+ and CD8+ T cells (1). We therefore measured T cell in vitro proliferative responses in PBMC from a cohort of individuals clinically diagnosed as PPD-allergic and who were shown to be patch test positive. A chemical conjugate of PPD with HSA was used as it is less cytotoxic than free PPD and has previously been characterized in detail (20, 24). We first confirmed previous reports that peripheral blood T cells show a dose-dependent antigen-specific response to PPDHSA, as measured by [3H]thymidine incorporation. In vitro culture was associated with a selective loss of naïve T cells and a small shift from CM to EM in cultures exposed to antigen. Interestingly, we noted that the starting PBMC population from the PPD-allergic individuals appeared to be depleted of EM cells, compared to the values reported previously for healthy volunteers (19). This might reflect recruitment of effector cells from blood to the skin either due to the patch test carried out 4 days prior to venepuncture or to the allergic condition itself. A similar observation was recently reported for another skin sensitizer, methylisothiazolinone (21). Further longitudinal studies will be required to establish the cause of this relative paucity of EM cells in the peripheral blood and its possible impact on responses measured in vitro. Our TCRseq protocol incorporates unique molecular identifiers, which allow us to count accurately the number of TCR RNA molecules present in a sample. The relationship between RNA count and cell count depends on the number of TCR RNA molecules per cell. Although we cannot rule out some changes in RNA levels during different phases of T cell activation, previous studies do not suggest substantial changes (25, 26) and would not contribute significantly to the large changes in abundance we observe. An SI of approximately 9, equivalent to a 500-fold increase in abundance, is consistent with a culture period of 6 days, and T cell replication times of around 24 h for the first generation, and 16–18 h for subsequent generations (27). We do not have dynamic information on T cell numbers during the culture, but since thymidine incorporation is a function of those cells still in S phase during the last day of culture, these results suggest that the observed proliferation can be attributed to a few thousand cells derived from only 2–4 precursors per 100,000 T cells. These TCRs are not expanded in cultures without PPDHSA, suggesting they represent antigen-specific responses to the PPD conjugate. Together with a very small number of T cells that continue to proliferate throughout the culture, we also observed many more cells (approximately 0.8% of total), which increase in abundance by a smaller amount. We cannot determine whether these cells represent PPD-specific cells of lower affinity, which respond less robustly to antigen, or perhaps include bystander cells activated in vitro as a result of antigen-presenting cell activation and cytokine secretion. The sequences of the TCRs expanded in vitro show hallmarks of an antigen-specific response. They exhibit strong skewing of both V and J gene usage (28–30), and they consist of families of TCRs with conserved α and β CDR3s. Nevertheless, the in vitro expanded TCRs show only slightly greater similarity to each other than they do to a random selection of CDR3s from the in vivo repertoire, and the clones showing a high SI are found in several different and quite distinct families of CDR3 sequences. It is instructive to compare the results observed here with those of an extended series of studies on T cell responses to another strong contact sensitizer, trinitrophenyl (TNP) sulfonic acid [reviewed in Ref. (31)]. Although carried out prior to the era of high throughput sequencing, and in an experimental mouse model, these studies reported remarkably similar qualitative features of the contact sensitizer-specific responses. In particular, the TNP response was associated with a high frequency of hapten-specific T cells (32), was associated with strong preferential usage of certain V and J regions in both alpha and beta chain (33, 34), but was nevertheless very polyclonal involving a wide variety of different TCR sequences (9, 35). These features may therefore represent common features of the sensitizer-specific repertoire in both mouse and man. The results of our study are consistent with a model in which PPDHSA conjugate stimulates a broad diversity of TCRs, and with a wide range of stimulation strengths, which manifest as different degrees of in vitro expansion. The reasons for the breadth of response observed remain to be defined. Although PPD has been shown to react principally with a single free cysteine in HSA (20), smaller amounts of alternative conjugate products may also be present, giving rise to a variety of hapten/protein conjugate peptides. Alternatively, a single PPDHSA-derived peptide may be processed and presented by APC in a variety of ways and recognized by a variety of T cells. The study begins to characterize the magnitude and breadth of the T cell response to a well-characterized strong skin sensitizer, PPD (36). Further investigations are in progress to separate the contribution of CD4 and CD8 cells and to define the antigen specificity of the responding cells in more detail. The parameters learnt from such studies will help achieve a better understanding of the fundamental characteristics of the T cell response to contact allergens that can in turn be used to improve the clinical relevance of human health risk assessment for chemical skin sensitizers (2, 13).

Author Contributions

TO and AP carried out all the T cell culture and T cell receptor sequencing. JW and NG organized patient sample collection and ethical approval for the study. KB, JH, and MI performed the analysis of the T cell receptor sequence data. RD designed the T cell phenotype studies and contributed to the manuscript. GM, IK, and BC designed and supervised the study and wrote the manuscript.

Conflict of Interest Statement

GM and NG are employees of Unilever PLC, which funded the study.
  35 in total

1.  Role of hapten-anchoring peptides in defining hapten-epitopes for MHC-restricted cytotoxic T cells. Cross-reactive TNP-determinants on different peptides.

Authors:  S Martin; B Ortmann; U Pflugfelder; U Birsner; H U Weltzien
Journal:  J Immunol       Date:  1992-10-15       Impact factor: 5.422

2.  Conserved T cell receptor usage in primary and recall responses to an immunodominant influenza virus nucleoprotein epitope.

Authors:  Katherine Kedzierska; Stephen J Turner; Peter C Doherty
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-22       Impact factor: 11.205

Review 3.  Allergic contact dermatitis: a commentary on the relationship between T lymphocytes and skin sensitising potency.

Authors:  Ian Kimber; Gavin Maxwell; Nicky Gilmour; Rebecca J Dearman; Peter S Friedmann; Stefan F Martin
Journal:  Toxicology       Date:  2011-11-22       Impact factor: 4.221

4.  Predominant T cell receptor gene elements in TNP-specific cytotoxic T cells.

Authors:  B Kempkes; E Palmer; S Martin; A von Bonin; K Eichmann; B Ortmann; H U Weltzien
Journal:  J Immunol       Date:  1991-10-15       Impact factor: 5.422

Review 5.  Chemical reactivity measurement and the predicitve identification of skin sensitisers. The report and recommendations of ECVAM Workshop 64.

Authors:  Frank Gerberick; Maja Aleksic; David Basketter; Silvia Casati; Ann-Therese Karlberg; Petra Kern; Ian Kimber; Jean Pierre Lepoittevin; Andreas Natsch; Jean Marc Ovigne; Costanza Rovida; Hitoshi Sakaguchi; Terry Schultz
Journal:  Altern Lab Anim       Date:  2008-05       Impact factor: 1.303

Review 6.  Allergic contact dermatitis: xenoinflammation of the skin.

Authors:  Stefan F Martin
Journal:  Curr Opin Immunol       Date:  2012-09-11       Impact factor: 7.486

7.  Decombinator: a tool for fast, efficient gene assignment in T-cell receptor sequences using a finite state machine.

Authors:  Niclas Thomas; James Heather; Wilfred Ndifon; John Shawe-Taylor; Benjamin Chain
Journal:  Bioinformatics       Date:  2013-01-09       Impact factor: 6.937

8.  Structural complexity of antigenic determinants for class I MHC-restricted, hapten-specific T cells. Two qualitatively differing types of H-2Kb-restricted TNP epitopes.

Authors:  S Martin; A von Bonin; C Fessler; U Pflugfelder; H U Weltzien
Journal:  J Immunol       Date:  1993-07-15       Impact factor: 5.422

9.  T cell signaling. Antigen affinity, costimulation, and cytokine inputs sum linearly to amplify T cell expansion.

Authors:  Julia M Marchingo; Andrey Kan; Robyn M Sutherland; Ken R Duffy; Cameron J Wellard; Gabrielle T Belz; Andrew M Lew; Mark R Dowling; Susanne Heinzel; Philip D Hodgkin
Journal:  Science       Date:  2014-11-28       Impact factor: 47.728

10.  T lymphocyte dynamics in methylisothiazolinone-allergic patients.

Authors:  Amy Popple; Jason Williams; Gavin Maxwell; Nichola Gellatly; Rebecca J Dearman; Ian Kimber
Journal:  Contact Dermatitis       Date:  2016-05-03       Impact factor: 6.600

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  4 in total

Review 1.  Pathomechanisms of Contact Sensitization.

Authors:  Philipp R Esser; Stefan F Martin
Journal:  Curr Allergy Asthma Rep       Date:  2017-11-11       Impact factor: 4.806

2.  The clonal structure and dynamics of the human T cell response to an organic chemical hapten.

Authors:  Tahel Ronel; Matthew Harries; Kate Wicks; Theres Oakes; Helen Singleton; Rebecca Dearman; Gavin Maxwell; Benny Chain
Journal:  Elife       Date:  2021-01-12       Impact factor: 8.140

3.  Characterization and Monitoring of Antigen-Responsive T Cell Clones Using T Cell Receptor Gene Expression Analysis.

Authors:  Sabrina Pollastro; Marie de Bourayne; Giulia Balzaretti; Aldo Jongejan; Barbera D C van Schaik; Ilse T G Niewold; Antoine H C van Kampen; Bernard Maillère; Niek de Vries
Journal:  Front Immunol       Date:  2021-02-19       Impact factor: 7.561

4.  In Vitro Monitoring of Human T Cell Responses to Skin Sensitizing Chemicals-A Systematic Review.

Authors:  Marina Aparicio-Soto; Caterina Curato; Franziska Riedel; Hermann-Josef Thierse; Andreas Luch; Katherina Siewert
Journal:  Cells       Date:  2021-12-28       Impact factor: 6.600

  4 in total

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