Type 1 NKT cells play a critical role in controlling the strength and character of adaptive and innate immune responses. We have previously reported deficiencies in the numbers and function of NKT cells in the NOD mouse strain, which is a well-validated model of type 1 diabetes and systemic lupus erythematosus. Genetic control of thymic NKT cell numbers was mapped to two linkage regions: Nkt1 on distal chromosome 1 and Nkt2 on chromosome 2. Herein, we report the production and characterization of a NOD.Nkrp1b.Nkt2bb congenic mouse strain, which has increased thymic and peripheral NKT cells, a decreased incidence of type 1 diabetes, and enhanced cytokine responses in vivo and increased proliferative responses in vitro following challenge with α-galactosylceramide. The 19 highly differentially expressed candidate genes within the congenic region identified by microarray expression analyses included Pxmp4. This gene encodes a peroxisome-associated integral membrane protein whose only known binding partner is Pex19, an intracellular chaperone and component of the peroxisomal membrane insertion machinery encoded by a candidate for the NKT cell control gene Nkt1. These findings raise the possibility that peroxisomes play a role in modulating glycolipid availability for CD1d presentation, thereby influencing NKT cell function.
Type 1 NKT cells (1) are an immunoregulatory population of lymphocytes. They play a critical role in controlling the adaptive immune system and contribute to the regulation of autoimmune responses (1, 2, 3). We have previously reported deficiencies in the numbers and function of NKT cells in the NOD mouse strain (4, 5), which is a well-validated model of type 1 diabetes (6) and systemic lupus erythematosus (7, 8), and mapped genetic control of thymic NKT cell numbers in a first backcross (BC1) from C57BL/6 to NOD.Nkrp1b mice, which carry B6-derived alleles at the natural killer complex on chromosome 6 (from D6mit105 to D6mit135), permitting the use of the NK1.1 marker (9). The numbers of thymic NKT cells of 320 BC1 mice were determined by flow cytometric analysis using CD1d/α-galactosylceramide (CD1d/α-GalCer)4 tetramer (10). Tail DNA of 138 female BC1 mice was analyzed for PCR product length polymorphisms at 181 simple sequence repeats, providing >90% coverage of the autosomal genome with an average marker separation of 8 cM.
Two loci exhibiting significant linkage to NKT cell numbers were identified; the most significant (Nkt1; log-likelihood ratio 6.82) mapped near D1mit15 on distal chromosome 1 (9), in the same region as the NOD mouse lupus susceptibility gene Babs2/Bana3 (11). An NOD.Nkrp1b.Nkt1b congenic mouse strain was produced by crossing NOD.Nkrp1b mice to C57BL/6 mice and performing 10 serial backcrosses to NOD.Nkrp1b, selecting breeders carrying C57BL/6-derived alleles throughout the 95% confidence interval for Nkt1. Flow cytometric analyses of NKT cell numbers in the thymus and spleen confirmed that the NOD.Nkrp1b.Nkt1b congenic line had increased numbers and proportions of NKT cells compared with the control NOD.Nkrp1b parental line. Microarray expression analyses of whole thymocytes from NOD.Nkrp1b mice and the NOD.Nkrp1b.Nkt1b congenic line identified only 28 highly differentially expressed genes, of which 21 mapped to the Nkt1 congenic region. Only 15 of these lay within the 95% confidence limits obtained in the original linkage analysis (12). Of these 15 genes, Slamf1 (encoding SLAM) and Slamf6 (encoding Ly108) were regarded as strong candidates for Nkt1, as signaling through SLAM-associated protein (SAP) appears to be essential for thymic-positive selection of NKT cells (reviewed in Ref. 13).
Comparison of SLAM levels on thymic subsets revealed variation in the developmentally regulated pattern of expression between the strains. While the NOD.Nkrp1b.Nkt1b mice express increasing levels of SLAM through T cell development to peak on CD4+CD8+ thymocytes and then decline to relatively lower levels on mature single-positive (CD4+CD8− or CD8+CD4−; SP) cells, expression of SLAM on developing T cells of NOD.Nkrp1b is retarded, reaching its peak of expression only at the mature SP stage (12). Consistent with the levels of SLAM expression on mature SP thymocytes, splenic expression was relatively similar between the strains on both T and B cells. This difference in SLAM expression was of functional importance, as it affected both TCR-stimulated proliferation as well as cytokine production. Significantly, thymocytes and CD4+ splenocytes from NOD.Nkrp1b mice produced less IL-4, and slightly more IFN-γ (12), in a manner analogous to the cytokine phenotypes of Slamf1−/− and Sap−/− targeted mutant mice (14, 15, 16).
The second locus identified in the genome-wide linkage scan (9) was Nkt2, which mapped between D2mit490 and D2mit280 on chromosome 2, in the same region as Idd13, a NOD-derived diabetes susceptibility gene identified in (NOD × NOR)F2 segregation analyses (17, 18). NOR is a recombinant congenic strain in which limited regions of the NOD/Lt genome on chromosomes 1, 2, 4, 5, 7, 11, 12, and 18 have been replaced by alleles from the C57BL/KsJ strain. C57BL/KsJ itself is a recombinant congenic strain, presumably resulting from genetic contamination of C57BL/6 by DBA/2J (19), and the chromosome 2 segment it contributes to NOR is of C57BL/6 origin (17). The NOR strain is completely resistant to type 1 diabetes, despite sharing ∼88% of their genome with NOD/Lt mice (including the diabetes-associated H2g7 MHC haplotype), and most of their diabetes resistance can be attributed to the expression of the C57BL/6-derived Idd13b allele (17, 18). To improve localization of Idd13, Serreze et al. (20) generated a panel of subcongenic lines. Two of these lines, which carried only slightly overlapping segments, were only moderately resistant to diabetes, compared with the original recombinant congenic NOD line bearing the whole of the Idd13 congenic segment. The simplest explanation for this result is that at least two loci contribute to Idd13 (20).
Based on allelic differences in binding of a conformation dependent anti-β2-microglobulin (β2m) mAb, Serreze et al. (20) proposed B2m (which encodes β2m) as a candidate gene contributing to the effects of Idd13. This hypothesis was formally tested by Hamilton-Williams et al. (21), who used allelic transgenic constructs to rescue expression of the NOD-associated a allele or the C57BL/6-associated b allele of B2m in B2m−/− targeted mutant NOD mice. Consistent with B2m playing a critical role in the diabetes susceptibility associated with Idd13, mice expressing the b allele were protected from diabetes, while a significant number of those expressing the a allele progressed to disease.
B2m is also a good candidate for Nkt2, because it acts as the light chain of CD1d, the selection and restriction ligand for type 1 NKT cells (1). In an attempt to identify the genetic sequences on chromosome 2 that control NKT cell numbers and to explore a potential role for B2m, we produced and characterized a novel NOD mouse line congenic for the C57BL/6 allele at the Nkt2 locus.
Materials and Methods
NOD.Nkrp1b, C57BL/6J, and congenic mice were maintained at the Immunogenetics Research Facility at the James Cook University in specific pathogen-free conditions. The NOD.Nkrp1b strain carries B6-derived alleles at the natural killer complex on chromosome 6 (from D6mit105 to D6mit135), permitting the use of the NK1.1 marker (22, 23). β2-microglobulin transgenic mice, generated as previously described (21), were maintained at the animal facility of the Alfred Hospital Medical Research and Education Precinct (Melbourne, Victoria, Australia). NOD.Nkrp1b.Nkt2bb mice were produced by intercrossing NOD.Nkrp1b and C57BL/6J mice and performing serial backcrosses to NOD.Nkrp1b to N10, before intercrossing and selection of homozygous congenic founders. These studies have been reviewed and approved by the James Cook University Institutional Animal Care and Ethics Committee.
Extraction of genomic DNA from NOD.Nkrp1b, NOD.Nkrp1b.Nkt2bb, and C57BL/6 mouse strains was conducted using the CAS-1810 X-TractorGene (Corbett Robotics) and the XTR2 X-TractorGene solid sample reagent pack (Sigma-Aldrich), which is based on a method developed in this laboratory. Briefly, DNA was extracted by digesting 11 mm tail in 400 μl digest buffer (100 mM Tris-HCl (pH 8), 10 mM EDTA, 100 mM NaCl, 0.5% SDS, 50 mM DTT, 100 mM proteinase K), O/N, 56°C, 40 rpm in a VORTEMP 56EVC (Labnet). Samples were lysed by addition of 700 μl 5.25 M guanidine thiocyanate lysis buffer (5.25 M guanidine thiocyanate, 10 mM Tris-HCl (pH 6.5), 20 mM EDTA, 4% Triton-X, 64.8 mM DTT), loaded on a glass filter (GF/B) polypropylene microplate (Whatman International), and washed twice in propanol wash buffer and once in ethanol. Samples were eluted in 150 μl elution buffer. The DNA yield was quantified using a Nanodrop ND-1000.
Identification of the congenic segment boundaries and the background screen were conducted by genotyping the extracted tail DNA using simple sequence repeats chosen from the Whitehead Institute simple sequence length polymorphism library (Cambridge, MA), as well as markers designed in-house on the basis of PCR product length polymorphisms between C57BL/6 and NOD/Lt strains, as previously described (9).
RNA preparation and microarray expression analyses
To minimize activation of the apoptosis cascade, thymi were removed from 4-wk-old female mice and placed in RNAlater (Qiagen) within 120 s of the mouse being placed in CO2 for asphyxiation. In our hands, this procedure substantially improved the signal-to-noise ratio of expression analysis, greatly reducing the numbers of differentially expressed genes identified.
The thymi were individually homogenized in the RLT buffer of an RNeasy kit (Qiagen), with contamination minimized by extensive washing with RNase-off and RNase-free/DNase-free water between samples. Homogenates were passed through Qiashredder columns (Qiagen) and extracted (RNeasy, Qiagen). The RNA yield was quantified spectrophotometrically and aliquots electophoresed for determination of sample concentration and purity.
Expression microarray hybridizations were performed using a one-cycle cDNA synthesis kit (Affymetrix) and Affymetrix 430 2.0 mouse gene microarray, which contains >45,000 probe sets, representing >34,000 well-substantiated mouse genes.
The probed arrays were scanned using the GeneChip scanner 7G and the images (.dat files) processed using GeneChip operating system (Affymetrix) and imported into Avadis Prophetic 4.2 (Strand Genomics) for further analysis. The statistical significance threshold was set by permutative analysis (100,000 permutations) and a Mann-Whitney U test. A conservative significance threshold of p < 0.0002 was set; this value coincided with a lack of overlap in signal values between the two groups (n = 7–9/group).
First-strand cDNA synthesis
First-strand cDNA was synthesized from 5 μg total RNA using oligo(dT) primers and SuperScript III reverse transcriptase following the manufacturer’s instructions (Invitrogen).
Real-time quantitative PCR
Primers were designed to verify microarray data on independent samples of RNA from NOD.Nkrp1b and NOD.Nkrp1b.Nkt2bb mice. All PCR were conducted on Rotor-Gene 3000 or Rotor-Gene 6000 (Corbett Robotics) and PCR mixes set up using a CAS1200 liquid handling platform (Corbett Robotics). Each 25 μl reaction contained 12.5 μl Platinum SYBER Green qPCR Supermix UDG (Invitrogen), 0.25 μl of each primer (5 μM), and 5 μl cDNA. Pxmp4 expression values were normalized against Gapdh, as previous microarray expression analyses had shown that this gene was not differentially expressed between NOD.Nkrp1b and NOD.Nkrp1b.Nkt2bb mice. The primers used for quantitation were: Gapdh, F primer, 5′-TGCCGCCTGGAGAAACCTGCCAAGTATG-3′, R primer, 5′-TGGAAGAGTGGGAGTTGCTGTTGAAGT-3′; Pxmp4 (target sequence 1455438_at), F primer, 5′-TAAAGACACAGTCTGAGCCCTGCCC-3′, R primer, 5′-ACTCGCTATGCTGAAGTCACTGGTA-3′; Pxmp4 (target sequence 1422780_at), F primer, 3′-TCAGCTTCAGGTCATTCACTTCAGG-5′, R primer, 3′-TTGACAGTAGGGCTCCAGAACTTCT-5′.
Analyses of unknown samples were conducted by comparison to a standard curve for both the gene of interest and the housekeeper. Template standards were prepared by PCR amplification of cDNA from C57BL/6 thymi using primers flanking those used for quantitation: Gapdh, F primer, 5′-ACCACAGTCCATGCCATCACT-3′, R primer: 5′-TCCACCACCCTGTTGCTGTA-3′; Pxmp4 (target sequence 1455438_at), F primer, 5′-AAGACGTGGACTGCCTGGTGAACTA-3′, R primer, 5′-GCACTGAAGGAAACACGGGCTTCAA-3′; Pxmp4 (target sequence 1422780_at), F primer, 5′-TCTGTTGGCATACCCTCGTGGAGGA-3′, R primer: 5′-TTCTCAGTGCTGGTGATAGGATCCT-3′.
Titrated template standards were processed in parallel with unknown controls. Cycling conditions included a 2 min hold at 50°C, a 2 min hold at 95°C, followed by 40 cycles of 95°C, 15s; 56–58°C, 30s; and 72°C, 30s. Fluorescent data were acquired for FAM/SYBER at the 72°C extension step. A melt curve analysis was conducted by incrementing 0.1°C/step from 72°C until 99°C.
Cell suspension preparation
Thymocyte cell suspensions were prepared by gently grinding the thymus between frosted microscope slides in MACS buffer (PBS containing 2 mM EDTA; Amresco) and 0.5% (w/v) BSA (ICN Biomedicals). Spleens were disrupted using a 26-gauge needle and forceps. Livers were perfused in situ with cold PBS (10 mls) via the portal vein, removed, cut into small pieces, and gently pushed through fine mesh. The resulting suspension was washed twice in cold PBS and a 33.75% Percoll (Amersham Biosciences) density gradient was used to isolate the lymphocytes. Both spleen and liver cell suspensions were treated with RBC lysing buffer (Sigma-Aldrich).
Flow cytometric analysis
For flow cytometric analyses, cells were labeled with anti-CD3-APC (clone 145-2C11), FITC- or APC-conjugated anti-βTCR (clone H57-597), PerCP-Cy5.5- or Pacific Blue-conjugated anti-CD4 (clone RM 4-5), anti-NK1.1-PE-Cy7 (clone PK136), anti-CD44-FITC (clone IM7), anti-CD8-FITC (clone 53-6.7), and anti-CD1d-Biotin (clone 1B1), all from BD Pharmigen. Biotinylated Abs were detected with streptavidin-PE (BD Pharmigen). Mouse CD1d tetramer, conjugated to PE and loaded with α-GalCer, was produced in house as previously described (10) using recombinant baculovirus encoding his-tagged mouse CD1d and mouse β2m, originally kindly provided by Prof. M. Kronenberg’s laboratory (La Jolla Institute for Allergy & Immunology, San Diego, CA).
For surface staining, Abs were diluted in MACS buffer. Cells were preincubated for 15 min with CD16/32 (clone 93, eBioscience) followed by a further 20 min incubation with 10% mouse serum to prevent FcR binding, before addition of surface staining Ab cocktails. Viable lymphocytes were identified by the forward and side scatter profile and in some cases by propidium iodide exclusion. A forward scatter-area against forward scatter-height gate was used to exclude doublets from analysis. Where possible, an empty fluorescent channel was used to exclude autofluorescent cells. Flow cytometry was performed on a FACSCalibur (BD Biosciences) or a CyanADP flow cytometer (DakoCytomation), and data were analyzed using either CellQuest Pro (BD Biosciences) or Summit 4.3 software (DakoCytomation).
Assessment of insulitis and diabetes incidence
Cohorts of mice from each strain were bled fortnightly by retro-orbital venepuncture from 12 to 36 wk of age. Random blood glucose readings were obtained using the glucose oxidase method using CareSens test strips and glucometer (Life Bioscience). Mice were declared diabetic following two consecutive readings >11.1 mM or a single reading of “HI”. Pancreata were excised from 36-wk-old female mice, fixed in 10% saline-buffered formalin (Sigma-Aldrich), and embedded in paraffin. Three serial 6-μm sections were taken at 100-μm intervals and stained with H&E. Sections were assigned insulitis scores as follows: 0, no evidence of infiltration; 1, <25% infiltration; 2, 50% infiltration; 3, 75% infiltration; 4, completely infiltrated or burnt-out. At least 20 islets per mouse were examined by a blinded assessor.
In vitro proliferation assay
Liver leukocytes (105/well) from NOD.Cd1d−/−, NOD.Nkrp1b.Nkt2bb, and NOD.Nkrp1b mice were cultured in the presence of 10 ng/ml recombinant IL-7 (BD Pharmingen) with or without 0.5 μg/ml α-GalCer (Alexis Biochemicals) for 5 days. Proliferation was assayed by the addition of 0.25 μCi of [6-3H]-labeled thymidine per 200 μl well (GE Healthcare) 16 h before harvesting, and the cells were harvested with a Tomtec Harvester 96 Mach IIIM and the emission scintillated with MeltiLex A melt-on scintillator sheets (Wallac) and detected with a Wallac 1450 MicroBeta JET liquid scintillation counter.
In vivo treatment with α-GalCer
α-GalCer (Alexis Biochemicals) was prepared in glycolipid dilution medium (10 ml distilled H2O, 560 mg sucrose (Invitrogen), 75 mg l -Histidine (Sigma-Aldrich), 50 mg Tween 20 (Sigma-Aldrich)). Mice were injected i.v. with 4 μg of α-GalCer or control vehicle (total volume of 100 μl). Blood samples were collected by retro-orbital venepuncture from treated and control mice at 4 h following injection. Samples were centrifuged and the plasma was stored at −80°C for later analysis of cytokine levels by bead array (Bender MedSystems).
Measurement of cytokines by bead array
Plasma cytokine levels were determined using the Mouse Th1/Th2 10plex FlowCytomix Multiplex (Bender MedSystems) according to the manufacturer’s instructions. Serial dilutions of the provided cytokine standards were prepared and assayed as described above. Standard curves were generated and samples quantified using the Flow Cytomix Pro 2.2 software (Bender MedSystems).
NOD.Nkrp1b.Nkt2bb congenic mice
A NOD.Nkrp1b.Nkt2bb congenic mouse line carrying a C57BL/6-derived chromosomal segment spanning 12.6 Mb of the 95% confidence interval of Nkt2 was produced by serial backcrossing to the NOD.Nkrp1b strain to N10, followed by intercrossing and selection for Nkt2bb homozygotes. The proximal boundary of the congenic segment lies between D2mit422 and D2mit404, and the distal boundary is between D2mit412 and D2mit528 (Fig. 1⇓A). A background screen of 156 polymorphic loci distributed throughout the rest of the autosomal genome failed to detect any residual C57BL/6-derived genomic contamination (Table I⇓). Flow cytometric analyses of thymic NKT cell numbers and proportions, as determined by CD1d/α-GalCer tetramer binding, confirmed that thymi from the NOD.Nkrp1b.Nkt2bb congenic line have larger proportions (Fig. 1⇓B and Table II⇓) and numbers (Fig. 1⇓C and Table II⇓) of type 1 NKT cells than those from the NOD.Nkrp1b parental strain controls. NOD.Idd13NOR mice, which bear a NOR-derived 70-Mb chromosomal segment spanning the entire 95% confidence interval of the Nkt2 locus, have numbers of thymic type 1 NKT cells exceeding those of both the NOD.Nkrp1b and NOD.Nkrp1b.Nkt2bb lines (Fig. 1⇓, B and C). This result is consistent with more than one locus within the Nkt2 linkage region controlling thymic type 1 NKT cell numbers: one within the Nkt2b congenic segment, and at least one other locus within the Idd13 congenic segment.
Homozygous congenic NOD.Idd13NOR, NOD.Nkrp1b.Nkt2bb, and control NOD.Nkrp1b mice were bled at 2-wk intervals from 12 to 36 wk by retro-orbital venepuncture and random blood glucose levels determined by the glucose oxidase technique. At 36 wk of age, 3 of 25 (12%) female NOD.Idd13NOR congenic mice, 16 of 42 (38%) female NOD.Nkrp1b.Nkt2bb congenic mice, and 24 of 38 (63.2%) female control mice had developed diabetes (p < 0.05, 4-fold table χ2 test; Fig. 1⇑D). At the same age, 3 of 21 (14%) male NOD.Idd13NOR congenic mice, 12 of 39 (30.8%) male NOD.Nkrp1b.Nkt2bb congenic mice, and 9 of 24 (37.5%) male control mice had developed diabetes (NS, 4-fold χ2 table test; data not shown). Similarly, the severity of insulitis observed at 36 wk in the pancreata of NOD.Nkrp1b.Nkt2bb female mice was intermediate between that observed in female NOD.Idd13NOR and control NOD.Nkrp1b mice (Fig. 1⇑E).
NOD.B2ma and NOD.B2mb transgenic mice
B2m, which encodes β2m (the light chain of MHC class I products and CD1d) is a candidate for Nkt2 because it lies close to the 95% confidence limits for Nkt2 (9) and because CD1d acts as the selection and restriction ligand for type 1 NKT cells (1). As the Nkt2b congenic segment excludes the B2m locus, the phenotype of this line cannot be attributed to allelic variation at B2m. However, as NOD.Idd13NOR mice show a greater increase in CD1d/α-GalCer tetramer binding thymic type 1 NKT cells than do NOD.Nkrp1b.Nkt2bb congenic mice, it remained possible that the C57BL/6 allele of B2m increased NKT cell numbers in addition to a second linked locus lying within the Nkt2b congenic region. To formally test this possibility, comparisons of thymic NKT cell numbers and proportions between NOD.B2m−/− targeted mutant strains that transgenically express either the a or b allele of B2m (21) were performed. No significant increase in either the proportions or numbers of NKT cells was found in the transgenic line bearing the C57BL/6 B2mb allele (Fig. 2⇓), formally excluding the possibility that B2m contributes to the increase in type 1 NKT cell numbers conferred by C57BL/6-derived alleles in the Nkt2 linkage region.
NKT cell subsets in NOD.Nkrp1b.Nkt2bb congenic mice
Thymic NKT cell subsets, which are related to each other by a developmental pathway, can be defined by the cell surface markers CD4, CD44, and NK1.1 (24, 25). Flow cytometric analyses of thymic NKT cells from NOD.Nkrp1b.Nkt1b mice, which are congenic for the chromosome 1 NKT cell control gene, revealed that most additional NKT cells were of the relatively immature CD4+CD44highNK1.1− population (12), raising the possibility that that the Nkt2 locus contributed to NKT cell thymic maturation, in addition to affecting total type 1 NKT cell numbers. Consistent with this view, a comparison of NOD.Nkrp1b.Nkt2bb mice with NOD.Nkrp1b parental control mice indicated that all type 1 NKT subsets are increased approximately 2-fold in the thymi of congenic mice, while in the periphery there is a disproportionate increase in the numbers of the developmentally mature NK1.1+ subset that is most apparent in the liver (Fig. 3⇓).
Microarray gene expression analysis
As the identification of genes contributing to the phenotype of NOD.Nkrp1b.Nkt1b mice was greatly assisted by transcriptomic analysis of thymocytes (12), the same approach was taken to identify a list of candidate genes that could contribute to the phenotype observed in NOD.Nkrp1b.Nkt2bb mice. Microarray gene expression analysis was performed on thymi of 4-wk-old NOD.Nkrp1b (n = 9) and NOD.Nkrp1b.Nkt2bb mice (n = 7; Fig. 4⇓A), following procedures to minimize activation of the apoptosis cascade. Thymic RNA was extracted, labeled, and hybridized to Affymetrix mouse 430 series 2.0 expression microarrays, which were scanned on an Affymetrix 7G scanner. Data were imported into Avadis Prophetic using an RMA summarization algorithm. The statistical significance threshold was set by permutative analysis (100,000 permutations) and a Mann-Whitney U test applied. A total of 52 genes were identified as being highly differentially expressed (i.e., those with a p < 0.0002), of which 19 mapped to the Nkt2b congenic region (∼0.6% of genome; χ2 = 1087; df = 1; p < 10−200; χ2 one sample test; Fig. 4⇓B–D). All 19 of the highly differentially expressed genes mapping to the Nkt2b congenic region lay within the 95% confidence limits obtained in the original linkage analysis (9) (Fig. 5⇓). Their physical positions and expression fold-change are shown in Fig. 5⇓D, and their identities are given in Table III⇓.
While further work is required to characterize the genes on this shortlist, one potential candidate for control of NKT cell numbers is Pxmp4, which encodes a 24-kDa peroxisomal integral membrane protein of unknown function. The only molecule to which it is known to bind is the dual compartment (cytoplasmic/peroxisomal), chaperone/membrane transporter Pex19 (26), which is encoded by a gene that lies within the Nkt1 linkage region (9) and is highly differentially expressed in NOD.Nkrp1b.Nkt1b congenic mice (12). Validation of Pxmp4 microarray data was obtained by quantitative RT-PCR of the sequences probed by the array on an independent sample set (Fig. 6⇓, n = 6–7; p < 0.02; Mann-Whitney U test).
Although a role for peroxisomes in NKT cell biology has not been previously proposed, they play a critical role in glycolipid metabolism and phospholipid biosynthesis, and intersect with the endosomal processing pathway (see Discussion), consistent with a role in CD1-mediated glycolipid presentation. Certainly, natural and targeted deletional mutants of a relatively broad range of genes that affect fatty acid metabolism express severe deficiencies in thymic type 1 NKT cell numbers (27, 28, 29, 30, 31).
Effects of the Nkt2b congenic interval on glycolipid presentation
As targeted mutant β-hexosaminidase B-deficient mice (a model of Sandhoff disease; Ref. 32) and natural mutant BALB/cNctr-Npc1m1N/J Npc1-deficient mice (a model of Niemann-Pick type C disease; Ref. 33) show defects in their ability to positively select and stimulate type 1 NKT cells (31), the effects of the Nkt2b congenic interval on NKT cell stimulation were studied. The levels of expression of CD1d on CD4+CD8+βTCR− thymocytes of NOD.Nkrp1b.Nkt2bb congenic and NOD.Nkrp1b parental control mice were similar (Fig. 7⇓A). An attempt was made to study presentation by irradiated thymocytes from NOD.Nkrp1b.Nkt2bb congenic and parental control mice in vitro, but in our hands, thymocytes presented glycolipid poorly and inhibited autopresentation of α-GalCer by hepatic leukocytes. In the absence of additional filler cells, the proliferative responses of hepatic leukocytes from NOD.Nkrp1b.Nkt2bb congenic mice were greater than those from NOD.Nkrp1b parental mice when stimulated with α-GalCer (p < 0.05; Mann-Whitney U test; n = 5–7, two replicates per mouse; Fig. 7⇓B).
Consistent with the in vitro findings of increased autostimulation of hepatic leukocytes from NOD.Nkrp1b.Nkt2bb congenic mice, in vivo production of IL-2, IL-4, and IFN-γ 4 h after injection i.v. of NOD.Nkrp1b.Nkt2bb congenic with 4 μg of α-GalCer was significantly higher than that of NOD.Nkrp1b parental control mice (n = 6–8; p < 0.03; Mann-Whitney U test; Fig. 7⇑C).
NOD mice have fewer type 1 NKT cells than do C57BL/6 or BALB/c mice, as determined by CD1d/α-GalCer tetramer staining (22). A major aim of this laboratory is to identify the genetic coding sequences responsible for the difference in thymic type 1 NKT cell numbers between the NOD and C57BL/6 mouse strains, taking advantage of the NOD.Nkrp1b congenic line, which expresses the NKT cell developmental marker NK1.1 (22, 23). Identification of genes that control type 1 NKT cell number is of interest because of the broad range of immune functions regulated by this cell population. The approach taken here (i.e., linkage analysis in a mouse model and the production of congenic lines) follows the traditional route that resulted in the identification and characterization of the role of the MHC in immune responses.
Two genetic regions affecting thymic type 1 NKT cell numbers in this system were identified by linkage analysis. The first, Nkt1, mapped near D1mit15 on distal chromosome 1 (9), in the same region as the NOD mouse lupus susceptibility gene Babs2/Bana3 (11), and the second locus identified, Nkt2, mapped between D2mit490 and D2mit280 on chromosome 2 (9), in the same region as the diabetes susceptibility gene Idd13 (17, 18). The locations of Nkt1 and Nkt2 have been confirmed by the production of congenic lines and the demonstration of partial correction of type 1 NKT cell numbers in each case (Ref. 12 and data presented herein). Comparison of the numbers of CD1d/α-GalCer tetramer-binding type 1 NKT cells in NOD mice bearing the C57BL/6-derived Nkt2b congenic segment and those bearing the larger NOR-derived (b haplotype) Idd13 congenic segment provided evidence of at least two loci within the Nkt2 region affecting type 1 NKT cell numbers: one within the Nkt2b region, and the other more proximal. The possibility that the second locus causing a decrease in type 1 NKT cells numbers in NOD mice is B2m was formally excluded by analysis of allelic B2m transgenic lines produced on a B2m-targeted mutant background (21). The degree of protection from type 1 diabetes seen in the two congenic lines was consistent with at least two loci within the Idd13 region also controlling this phenotype, as has been previously reported (20). Although one of the diabetes susceptibility loci has been formally demonstrated to be B2m, it is clear that an additional locus lies within the Nkt2b congenic region. This raises the intriguing possibility that the protection from diabetes provided by the Nkt2b segment is mediated by its effects on NKT cell numbers and development.
Thymic NKT cell subsets, which are related to each other by a developmental pathway, can be defined by the cell surface markers CD4, CD44, and NK1.1 (24, 25). A comparison of C57BL/6 and NOD mice revealed that in addition to an ∼3–4-fold reduction in thymic NKT cell number, those type 1 NKT cells that developed in the thymi of NOD mice were relatively developmentally retarded, with approximately one third fewer expressing the maturational NK1.1 marker. While both the Nkt1 and Nkt2b congenic lines produced increased numbers and proportions of thymic (and peripheral) NKT cells, most of the increase in NOD.Nkrp1b.Nkt1b mice was due to the relatively immature NK1.1− populations, suggesting that this locus supported the entry of larger numbers of thymocytes into the NKT cell developmental pathway, without greatly affecting their maturation. In contrast, the Nkt2b segment increased the numbers of type 1 NKT cells of all developmental stages. Indeed, in the liver, almost all of the increase in type 1 NKT cell number was due to increased numbers of the relatively mature NK1.1+ type 1 NKT cells. Another significant difference between the Nkt1 and Nkt2 regions is that expression of C57BL/6 alleles at the Nkt1 locus failed to provide protection from type 1 diabetes (Ref. 34 and our unpublished data), while the NOD.Nkrp1b.Nkt2bb line expressed a significantly reduced incidence of disease. It is possible that the increased numbers of NKT cells found in the NOD.Nkrp1b.Nkt1b congenic mice were functionally immature, consistent with their relatively immature cell surface phenotype. Although Rocha-Campos et al. (34) reported improved cytokine (IL-4 and IFN-γ) secreting performance by type 1 NKT cells from NOD.Nkt1 congenic mice, recent experiments have raised the possibility that diabetes protection conferred by type 1 NKT cells in the NOD mouse model can be mediated by a cell-cell contact-dependent mechanism in the absence of IL-4 (35).
The C57BL/6 allele of Nkt2b is associated with increased NKT cell proliferation and cytokine responses to α-GalCer as well as with increased numbers of thymic NKT cells of all stages of maturity. The simplest explanation for these data is that the C57BL/6 allele confers a stronger stimulatory capacity, resulting in increased thymic-positive selection of developing NKT cells. A directly analogous argument was applied to explain the increase in NKT cell numbers in NOD.Nkrp1b.Nkt1b congenic mice.
The characterization of mouse lines for both Nkt1 and Nkt2 has been greatly assisted by the application of microarray expression analyses, which have reduced the number of candidate genes of interest from potentially thousands of loci to one or two dozen. A striking feature of both this manuscript and our previous study of the Nkt1 congenic region (12) is the extremely high signal-to-noise ratio (χ2 of approximately 103) and the resulting resolving power of the studies. Factors contributing to this success appear to be the maturity of the technology, use of an adequate number of replicates, choice of biological system, and avoidance of apoptosis and activation of experimental samples. This approach has provided for the Nkt2b region a list of 19 candidates based on genomic location and highly significant differences in thymic expression between the NOD.Nkrp1b.Nkt2bb congenic line and the NOD.Nkrp1b parental control line. While further work is required to characterize the candidates on this short list, at this stage the most prominent candidate appears to be Pxmp4.
Pxmp4 (was termed PMP24) was originally isolated as a 24-kDa polypeptide from rat liver peroxisome membranes (36). Although of unknown function, it contains two putative membrane-spanning domains and, consistent with its role as a peroxisomal intrinsic membrane protein, it lacks the peroxisome targeting sequences (both type 1 and type 2) that mediate transport into the peroxisome lumen via binding Pex5 and Pex7 (36). Instead, it contains the Pex19BS motif VxxFxxR (http://www.peroxisomedb.org), which mediates peroxisomal membrane insertion via Pex19 (26). Remarkably, the gene Pex19 lies within the Nkt1 linkage region (9) and is highly differentially expressed in NOD.Nkrp1b.Nkt1b congenic mice, which also have a partial correction of the deficiency in numbers of thymic NKT cells (12) that is characteristic of NOD mice (4, 5).
Peroxisomes were first described by Nobel Laureate (1974) Christian René de Duve (37). They are ubiquitous cytoplasmic phospholipid bilayer-delimited organelles in eukaryotes, where they play critical roles in fatty acid β- and α-oxidation (degradation) and etherphospholipid biosynthesis. Peroxisomes are rich in glycosidases, including α-galactosidase and especially β-galactosidase (38), deficiencies of which are associated with glycosphingolipid storage diseases and, in some studies, reduced numbers of type 1 NKT cells (27, 31, 39).
Peroxisomes self-assemble from a specialized compartment of the endoplasmic reticulum and are able to increase their size, number, and enzymic activity in response to stimulation via peroxisome proliferator-activated receptors (PPAR), which are members of the nuclear steroid hormone receptor superfamily of ligand-activated transcription factors.
Oxidized low-density lipoproteins are natural activators of PPARα and PPARγ, and can increase generation of all-trans retinoic acid from retinol, resulting in retinoic signaling via activation of the retinoic acid receptor α (RARα) (40). In human dendritic cells, activation of RARα acutely up-regulates CD1d expression, enhancing type 1 NKT cell activation (41). The rate and efficiency of lipid metabolism in peroxisomes defines the steady-state levels of many of these signaling lipids, including long chain fatty acids and retinoid acid (42). Modulation of this pathway is unlikely to account for the differences in NKT cell numbers and activities in NOD.Nkrp1b.Nkt2bb congenic mice, however, as CD1d expression remains unchanged in the line.
PPARα activation also leads to up-regulation of Npc1 and Npc2, the genes that are mutated in Niemann-Pick type C disease (NPC) (43). Although NPC belongs to the group of lysosomal storage diseases characterized by an accumulation of cholesterol and sphingomyelin in lysosomes, studies of BALB/cNctr-Npc1m1N/J mice, a spontaneous mutant mouse model of Npc1 deficiency, suggest additional effects on peroxisome function. A sizeable decrease of peroxisomal β-oxidation of fatty acids and catalase activity was observed in mouse NPC 18 days before the onset of signs of disease, while lysosomal enzymatic function did not decline until 6 days afterward (44). BALB/cNctr-Npc1m1N/J mice also express CD1d at lower levels in their thymi than do wild-type mice, and they lack type 1 NKT cells (30). Despite these observations, the molecular basis of any role for peroxisomes in CD1d/NKT cell biology remains unclear.
Although the function of Pxmp4 is unknown, its translocation into the peroxisomal membrane by Pex19 suggests that it is likely to play a role in one or other of the major metabolic pathways of peroxisomes. As increased message for Pxmp4 is associated with the NOD allele that confers weaker NKT cell stimulatory capacity, one possibility is that Pxmp4 contributes to the biosynthesis of a nonstimulatory etherphospholipid ligand for CD1d. Most etherphospholipids are phosphoglycolipids similar in structure to phosphatidyl choline, which was the major component of the organic phase extracted from recombinant murine CD1d (45), or phosphatidyl ethanolamine, which was responsible for the NKT cell-stimulatory activity of a polar lipid fraction of a tumor cell extract (46), but carry an ether linkage instead of an ester linkage for one of the fatty acyl chains. The synthesis of etherphospholipids is entirely dependent on peroxisomal enzymes for multiple biosynthetic steps. Indeed, the first step, the esterification of dihydroxyacetone-phosphate, which is catalyzed by the peroxisomal matrix protein dihydroxyacetonephosphate acyl-transferase, is also required for the synthesis of phosphatidyl choline and phosphatidyl ethanolamine (47). Such ligands could be introduced from peroxisomes into the endosomal pathway for loading into CD1d by at least two mechanisms. First, peroxisomes fuse with, and discharge some of their contents into, phagosomes (48), consistent with their classical antimicrobial role (49). Second, proliferated peroxisomes undergo autophagy, in which they are engulfed by a vesicle termed an autophagosome, which fuses with lysosomes, resulting in peroxisome proteolysis (50).
Alternatively, Pxmp4 may be a component in a fatty acid degradation pathway that catabolizes stimulatory CD1d ligands. Peroxisomes play a critical role in the β- and α-oxidation of very long chain fatty acids (i.e., longer than C20) (47), which results in the cleavage of any carbohydrate head group from the acyl chains of glycolipid, an activity that would prevent binding to CD1d.
The paradoxical association of increased expression of Pex19 with increased NKT cell numbers in the NOD.Nkrp1b.Nkt1b congenic mice can be explained by its dual roles as a chaperone and a component of the peroxisomal membrane insertion machinery. Pex19 associates with Pxmp4 during or immediately after its translation by free ribosomes. Peroxisomal membrane insertion of the Pxmp4-Pex19 complex is dependent on Pex3p, a major peroxisomal integral membrane protein involved in peroxisome biogenesis. The addition of exogenous Pex19 results in inhibition of Pxmp4 translocation, presumably because the excess Pex19 saturates the binding sites of some component involved in the import machinery, such as Pex3p (51). Confirmation of any role for Pxmp4 and Pex19 in NKT cell biology will require allele exchange experiments.
In summary, these studies have confirmed the genetic location of the Nkt2 NKT cell control gene to chromosome 2, provided evidence of the involvement of more than one locus in this region, demonstrated partial correction of type 1 NKT cell deficiency and diabetes susceptibility by congenic insertion of 12.6 Mb of C57BL/6-derived sequence, and provided a short list of candidate genes responsible for this activity. Of particular interest is Pxmp4, which encodes a peroxisomal intrinsic membrane protein that may be involved in modulating glycolipid availability for CD1d presentation.
We acknowledge the practical expertise and assistance of Tatiana Tsoutsman, Tim Butler, and Daniel Pellicci and the help and support of our animal attendants, Nicole Fraser, Jo-Anne Diaz, and Kylie Robertson. We are grateful to David Yellowlees, Branch Moody, and Bruce Bowden for insightful discussions.
The authors have no financial conflicts of interest.
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 A.G.B. and D.I.G. are supported by an Australian National Health and Medical Research Council (NHMRC) Research Fellowships, G.S.B. is the recipient of a Personal Research Chair from James Bardrick as a former Lister Institute-Jenner Research Fellow, J.M.F. is the recipient of an Australian Postgraduate Award, and M.A.J. and F.D.D. are recipients of James Cook University (JCU) intramural scholarships. This project was funded by the NHMRC, the Medical Genetics Research Advancement Program of JCU, the Medical Research Council (U.K.), The Wellcome Trust (U.K.), and Juvenile Diabetes Research Foundation Grant 1-2003-244.
↵2 J.M.F. and M.A.J. contributed equally to this paper.
↵3 Address correspondence and reprint requests to Dr. Alan G. Baxter, Comparative Genomics Centre, James Cook University, Molecular Sciences Building 21, Townsville, Queensland 4811, Australia. E-mail address:
↵4 Abbreviations used in this paper: α-GalCer, α-galactosylceramide; β2m, β2-microglobulin; NPC, Niemann-Pick type C disease; PPAR, peroxisome proliferator-activated receptor; SAP, SLAM-associated protein; SP, single positive.
- Received June 11, 2007.
- Accepted June 21, 2008.
- Copyright © 2008 by The American Association of Immunologists