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* Comparative Genomics Center, James Cook University, Townsville, Queensland, Australia; and
University of Melbourne, Department of Microbiology and Immunology, Parkville, Victoria, Australia
| Abstract |
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| Introduction |
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-galactosylceramide (CD1d/
-GalCer) 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) was mapped near D1mit15 on distal chromosome 1 (9) in the same region as the NOD mouse lupus susceptibility gene Babs2/Bana3 (11). The second locus (Nkt2; log-likelihood ratio 4.90) was mapped between D2mit490 and D2mit280 on chromosome 2 (9) in the same region as Idd13, a NOD-derived diabetes susceptibility gene (12). In an attempt to identify the genetic sequences on chromosome 1 that control NKT cell numbers, we produced and characterized a NOD mouse line congenic for the C57BL/6 allele at the Nkt1 locus. | Materials and Methods |
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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 NK complex on chromosome 6 (from D6mit105 to D6mit135), permitting the use of the NK1.1 marker (13, 14). NOD.Nkrp1b.Nkt1b 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.
DNA preparation
Extraction of genomic DNA from NOD.Nkrp1b, NOD.Nkrp1b.Nkt1b, and C57BL/6 mouse strains was conducted using the CAS-1810 X- TractorGene (Corbett Robotics) and the XTR2 X-tractor gene solid sample reagent pack (Sigma-Aldrich), which is based on a method developed in this laboratory. Briefly, DNA was extracted by digesting an 11-mm tailtip in 400 µl of digest buffer (100 mM Tris-HCl (pH 8), 10 mM EDTA, 100 mM NaCl, 0.5%SDS, 50 mM DTT, and 100 mM proteinase K), O/N, 56°C, 40 rpm in a VORTEMP 56EVC (Labnet). Samples were lysed by addition of 700 µl of 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-100, and 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 100% ethanol. Samples were eluted in 150 µl of elution buffer. The DNA yield was quantified spectrophotometrically.
Genotyping
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, as well as markers designed in-house on the basis of PCR product length polymorphisms between C57BL/6 and NOD/Lt strains, as described previously (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 RNA-later (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 Qiashedder columns (Qiagen) and extracted (RNeasy; Qiagen). The RNA yield was quantified spectrophotometrically and aliquots electrophoresed for determination of sample concentration and purity.
Expression microarray hybridizations were performed by the Australian Genome Research Facility using the 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 3000, and the images (.dat files) were processed using GeneChip Operating System (GCOS, Affymetrix) and imported into Avadis Prophetic3.3 (Strand Genomics) for further analysis. The statistical significance threshold was set by permutative analysis (10,000 permutations) and a Kruskal-Wallis test. A conservative significance threshold of p < 0.001 was set; this value coincided with a lack of overlap in signal values between the two groups (n = 7/group).
First-strand cDNA synthesis
First-strand cDNA was synthesized from 5 µg of total RNA using oligo(dT) primers and Superscript II reverse transcriptase following manufacturers instructions (Invitrogen Life Technologies).
Real-time quantitative PCR
Primers were designed to verify microarray data on independent samples of RNA from NOD.Nkrp1b and NOD.Nkrp1b.Nkt1b mice. All PCR were conducted on the Rotorgene 3000 (Corbett) and PCR mixes set up using a CAS1200 liquid handling platform (Corbett Robotics). Each 25-µl reaction contained 12.5 µl of Platinum Sybr Green qPCR Supermix UDG (Invitrogen Life Technologies), 0.5 µl each primer (5 µM), 1 µl of dNTP (10 mM), and 5 µl of cDNA. Slamf1 and Slamf6 expression values were normalized against Gapdh, as microarray expression analyses had shown that this gene was not differentially expressed between NOD.Nkrp1b and NOD.Nkrp1b.Nkt1b mice. The primers used for quantitation were as follows: Slamf1 exons 35 (microarray probe 1425570_at), F primer, 5'-TAATCTTCATCCTGGTTTTCACGGC-3', and R primer, 5'-TTGGGCATAAATAGTAAGGC-3'; Slamf1 exon7 (microarray probe 1425569_a_at), F primer, 5'-AGATGAAGAGGGAACAAAGC-3', and R primer, 5'-TTGTTTGAAGCATAAGAGGC-3'; Slamf6 S-isoform (microarray probe 1457773_at), F primer, 5'-CCTATTCCTGCTATCACG-3', and R primer, 5'-AACTTAGAGGAAAATGGGTGC-3'; Slamf6 L-isoform (microarray probe 1420659_at), F primer, 5'-TGTTTGACCTCTGTGACCTTT-3', and R primer, 5'-TACAGGAGGAACCCAACAGGC-3'; and Gapdh, F primer, 5'-TGCCGCCTGGAGAAACCTGCCAAGTATG-3', and R primer, 5'-TGGAAGAGTGGGAGTTGCTGTTG AAGT-3'.
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: Slamf1 exons 35 (microarray probe 1425570_at), F primer, 5'-ACCACAGTCCATGCCATCAC-3', and R primer, 5'-TCCACCACCCTGTTGCTGTA-3'; Slamf1 exon7 (microarray probe 1425569_a_at), F primer, 5'-CTGGACTTTATTCTGGAAGC-3', and R primer, 5'-TTGAGGTTCCAGAGTTTTGC-3'; Slamf6 S-isoform (microarray probe 1457773_at), F primer, 5'-TGTGTGGTATTACTCCAAGGA-3', and R primer, 5'-AGTAACTCCATCCCCATAGC-3'; Slamf6 L-isoform (microarray probe 1420659_at), F primer, 5'-ATTTTGCTCTTGTCTCTGC-3', and R primer, 5'-GGAATCCCTCTTTAGGTAGACTGC-3'; and Gapdh, F primer, 5'-ACCACAGTCCATGCCATCACT-3', and R primer, 5'-TCCACCACCCTGTTGCTGTA-3'.
Titrated template standards were processed in parallel with unknown controls.
Primer design and sequencing
Primers for sequencing were designed using BioTechnix 3d 1.1.0, based on sequence obtained from UCSC Genome Bioinformatics (http://genome. ucsc.edu) such that overlapping sequences would be amplified across the promoter, coding, and noncoding mRNA sequences. PCR were performed for all mouse strains for all regions on Omn-E thermal cyclers (Hybaid). Each 100-µl reaction included 10 µl of 10x PCR buffer with 3 mM MgCl2 (Roche), 0.4 mM each of dATP, dCTP, dGTP, and dTTP (Astral), 1.6 U of Taq Polymerase (Roche), and 2 µl of DNA (cDNA). Approximately 20 µl of mineral oil overlaid the reaction mix. PCR protocol included denaturation 95°C, 3 min, then 32 (40) cycles (95°C, 1 min; 5062°C (primer dependant annealing) 1 min, 72°C, 1 min), followed by an extension step of 72°C, 7 min. Reactions were verified by 1% agarose gel electrophoresis. Reactions were then purified using the Qiagen PCR purification kit following manufacturers directions. Twenty to 100 ng of PCR product between 200 and 500 bp/100160 ng of PCR product between 500 and 1000 bp were prepared with 6.4 pmol primer and sent to the Australian Genome Research Facility for sequencing (both forward and reverse reactions for each). The raw data were retrieved by FTP and analyzed using Sequencher 3.1.1. (Gene Codes).
Cell suspension preparation
Thymocyte cell suspensions were prepared by gently grinding the thymus between two 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 and the resulting cell suspension treated with RBC lysing buffer (Sigma-Aldrich).
Flow cytometric analysis
For flow cytometric analyses cells were labeled with anti-
TCR- FITC (clone H57-597), anti-CD3-FITC (clone 145-2C11), anti-CD3- allophycocyanin (clone 145-2C11), anti-CD3-allophycocyanin-Cy7 (clone 145-2C11), anti-CD4-allophycocyanin (clone GK1.5), anti-CD4-PerCP- Cy5.5 (clone RM 4-5), anti-NK1.1-PE-Cy7 (clone PK136), anti-CD8-FITC (clone 53-6.7), anti-CD45R/B220-allophycocyanin (clone RA3-6B2), anti-CD44-FITC (clone IM7), all from BD Pharmingen, and anti-CD150(SLAM)-PE (clone TC15-12F12.2; Biolegend). Mouse CD1d tetramer, conjugated to either PE or PE-Cy7 and loaded with
-GalCer, was produced in house as previously described (10) using recombinant baculovirus encoding his-tagged mouse CD1d and mouse
2-microglobulin, provided by Prof. M. Kronenbergs laboratory (La Jolly Institute for Allergy and 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 an additional 20-min incubation with 10% mouse serum to prevent FcR binding, before addition of surface staining Ab mixtures. 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. In general, flow cytometry was performed on a FACSVantage SE with FACSDiVa option (BD Biosciences) and data analyzed using either CellQuest Pro or FACSDiVa software (BD Biosciences). The data in Fig. 8E were acquired on a CyAn ADP flow cytometer (DakoCytomation) and analyzed with Summit 4.3 software (DakoCytomation).
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Single-cell suspensions were cultured in triplicate at 37°C, 5% CO2 for 35 days in RPMI 1640 medium with L-glutamine (Invitrogen Life Technologies) supplemented with 100 U/ml penicillin, 100 µg/ml streptomycin sulfate, and 50 µM 2-ME. Stimulation was achieved by the addition of Dynabead Mouse CD3/CD28 T cell expander beads (Dynal Biotech) in varying proportions. Some cultures were established in the presence of 100 µg/ml of the blocking signaling lymphocyte activation molecule (SLAM) peptide 132146 (FCKQLKLYEQVSPPE; Auspep), 100 µg/ml of the nonblocking SLAM peptide 8397 (DLSKGSYPDHLEDGY; Auspep) or inhibiting concentrations (6.25 µg/ml) of the TC15 anti-SLAM mAb (Biolegend). Proliferation was assayed by the addition of 0.25 µCi of 6-3H-labeled thymidine per 200-µl well (GE Healthcare) 816 h before harvesting. At termination, plates were spun to pellet cells, 100 µl of supernatant was removed for cytokine assays, and the cells were harvested with a Tomtec Harvester 96 Mach IIIM, the emission scintillated with MeltiLex A melt-on scintillator sheets (Wallac) and detected with a Wallac 1450 Microbeta Jet liquid scintillation counter.
Cytokine measurement
Cytokine levels in cell culture supernatants were determined using Mouse Th1/Th2 Cytokine Cytometric Bead Array (BD Biosciences). Capture beads (30 µl, specific for IL-2, IL-4, IL-5, IFN-
, and TNF) together with 30 µl of culture supernatant samples and 30 µl of PE detection reagent, were incubated for 2 h in 96-well plates. Beads were washed twice with 200 µl of wash buffer, resuspended, and data were acquired using a FACSCalibur (BD Biosciences). Serial dilutions of the provided cytokine standards were prepared and assayed as described above. Standard curves were generated and samples quantified using the BD CBA software (BD Biosciences).
| Results |
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A NOD.Nkrp1b.Nkt1b congenic mouse line carrying a C57BL/6-derived chromosomal segment spanning the 95% confidence interval of Nkt1 was produced by serial backcrossing to the NOD.Nkrp1b strain to N10, followed by intercrossing and selection for Nkt1b homozygotes. The proximal boundary of the congenic segment lies between D1mit369 and D1mit396 and the distal boundary is distal to the most telomeric marker available, D1mit155 (Fig. 1A). A background screen of 136 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/
-GalCer tetramer binding, confirmed that thymi from the NOD.Nkrp1b.Nkt1b congenic line have larger proportions (Figs. 1B and 2) and numbers (Fig. 1C, Table II) of iNKT cells than those from the NOD.Nkrp1b parental strain controls. The increase in thymic NKT cell numbers in the congenic line is a product of both a higher proportion of NKT cells in the thymus and an increase in total thymic cellularity (Table II). The proportions of thymic NKT cell numbers in (NOD.Nkrp1b x NOD.Nkrp1b.Nkt1b)F1 mice is intermediate between the congenic and parental strains.
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NKT cell subsets in NOD.Nkrp1b.Nkt1b 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 (15, 16). Flow cytometric analyses of thymic and splenic NKT cells indicate that the majority of the additional NKT cells found in NOD.Nkrp1b.Nkt1b mice belong to the CD4+CD44highNK1.1 population (Fig. 2), which is considered to be relatively developmentally immature. Similarly, in the spleen, the majority of the additional NKT cells found in NOD.Nkrp1b.Nkt1b mice are CD4+NK1.1.
Microarray gene expression analysis
To identify a subset of candidate genes within the Nkt1 linkage 95% confidence interval, microarray gene expression analysis was performed on thymi of 4-wk-old NOD.Nkrp1b and NOD.Nkrp1b.Nkt1b mice (n = 7/group; Fig. 3A), following procedures to minimize activation of the apoptosis cascade. Thymic RNA was extracted, hybridization and scanning of Affymetrix Mouse 430 series 2 expression microarrays performed by the Australian Genome Research Facility, and data imported into Avadis Prophetic using an RMA summarization algorithm. The statistical significance threshold was set by permutative analysis (10,000 permutations) and a Kruskal-Wallis test applied. A total of only 28 genes were identified as being highly differentially expressed (i.e., those with a p < 0.001), of which 21 mapped to the Nkt1 congenic region (
1.6% of genome;
2 = 986; df = 1; p < 10200;
2 one sample test; Fig. 3, BD). This result is indicative of an extremely good signal-to-noise ratio.
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Validation of Slamf1 and Slamf6 microarray data was obtained by quantitative RT-PCR of the sequences probed by the array on an independent sample set (Fig. 6, n = 69; Fig. 7, n = 59). Validation of SLAM expression on thymic and splenic lymphocytes was also performed by flow cytometry (Fig. 8). Consistent with microarray and RT-PCR quantitation of thymic SLAM expression, thymocytes from NOD.Nkrp1b.Nkt1b congenic mice expressed significantly more SLAM on their surfaces than those of the parental strain (Fig. 8A). The cell surface markers CD3, CD4, and CD8 can be used to define the developmental pathway of T cells from the least mature CD4CD8 (double-negative) CD3, through a double-positive (DP) intermediate stage, to the most mature CD4 or CD8 single-positive (SP) subsets immediately before thymic export (Fig. 8B). Flow cytometric analysis of SLAM expression on thymocytes from each developmental stage revealed major differences in the developmental program of thymic SLAM expression between the NOD.Nkrp1b and NOD.Nkrp1b.Nkt1b strains. While the NOD.Nkrp1b.Nkt1b mice and C57BL/6 mice (data not shown) express high levels of SLAM on DP thymocytes, with a relatively lower level expressed on mature SP cells, expression of SLAM on the developing T cells of NOD.Nkrp1b mice is retarded, reaching its peak of expression only at the mature SP stage (Fig. 8C, D). At each developmental stage, the levels of expression of SLAM on the thymocytes of (NOD.Nkrp1b x NOD.Nkrp1b.Nkt1b)F1 mice were intermediate between the two parental strains (data not shown). Levels of expression of SLAM on mature thymic NKT cells are similar (Fig. 8E).
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Functional consequences of differences in SLAM expression
To determine whether the difference in SLAM expression on DP thymocytes between the NOD.Nkrp1b and NOD.Nkrp1b.Nkt1b strains was sufficient to have functional effects, an assay of SLAM function was established. As SLAM acts as a costimulator through homotypic interactions, and the difference in levels of expression was largely restricted to the DP population of thymocytes, SLAM function was assessed by measuring TCR-stimulated proliferation of whole thymocytes. Whole thymocytes or purified CD4+ splenocytes were stimulated in vitro with anti-CD3/anti-CD28 coated beads and the proliferative response detected by thymidine incorporation five or three days later, respectively. The validity of this system as a surrogate measure of SLAM function was confirmed by the inhibition of proliferation by the addition of 100 µg/ml of the blocking SLAM peptide 132146 or inhibiting concentrations (6.25 µg/ml) of the TC15 anti-SLAM mAb (Fig. 9A).
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The supernatants from the cultures were then assayed for cytokines. Thymocytes from NOD.Nkrp1b mice produced significantly less IL-4 and IL-5, and slightly more IFN-
, in a manner analogous to the cytokine phenotypes of Slamf1/ and Sap/ targeted mutant mice (18, 19, 20). A similar deviation in IL-4 production was seen in cultures of CD4+ splenocytes (Fig. 9, CE).
| Discussion |
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Two strategies were applied to reduce the number of Nkt1 candidate genes under consideration. The first was the use of gene expression microarrays. As a generalization, this has not been a particularly helpful strategy in the past, and reports of hundreds or thousands of differentially expressed genes in congenic mice have been published (e.g., Ref. 22). In our experience, a dramatic improvement in signal-to-noise ratio could be attained by avoiding engagement of the activation and apoptosis cascades. In this specific case, thymi were removed from mice within 120 s of the induction of anoxia and placed immediately in RNAlater. The second strategy applied was the use of a stringent statistical threshold, rather than ad hoc fold difference thresholds, which have no obvious biological validity. As a consequence of these procedures, 21 of the 28 locatable highly differentially expressed genes mapped to the Nkt1 congenic region and only fifteen of these genes lay within the Nkt1 95% confidence interval. To our knowledge, no microarray expression analysis of congenic mice has produced a better signal to noise ratio. Of the 15 highly differentially expressed genes lying within the Nkt1 95% confidence interval, the most prominent candidates for control of NKT cell numbers are Slamf1 and Slamf6, as signaling through SAP appears to be essential for thymic positive selection of NKT cells (reviewed in Ref. 17).
Slamf1 encodes the Ig-like receptor termed SLAM or CD150, which forms homotypic interactions and modulates immune responses (17, 23). It associates with, and signals through, the Src homology (SH)2-domain containing adaptor protein SAP, which is mutated in the human inherited immunodeficiency X-linked lymphoproliferative disease (24, 25, 26), and FynT, a Src-related protein tyrosine kinase, which is recruited to SAP through a unique interaction involving the SH2 domain of SAP and the SH3 domain of FynT (27). Ligation of SLAM with mAbs enhanced TCR-stimulated proliferation and cytokine production by human and mouse T cells (28, 29, 30), which is consistent with a role as a costimulator (31). T cells from Slamf1/ targeted mutant mice deficient in SLAM expression have a severe defect in TCR-activated production of IL-4 in vitro but produce slightly more IFN-
, consistent with an important role in modulating the character of immune responses (18). Consistent with its role in SLAM signal transduction, Sap/ targeted mutant mice showed a similar defect in T cell-mediated IL-4 production and slightly increased IFN-
production, compared with SAP-sufficient wild-type CD4+ T cells (19, 20, 32, 33). Significantly, SAP-deficient X-linked lymphoproliferative patients as well as mice bearing targeted deletions of SAP (34, 35, 36) or FynT (37, 38) lack NKT cells, indicating a critical role for the SAP/FynT signaling pathway, presumably activated following recruitment to one or more members of the SLAM family of cell surface receptors. As NKT cells are positively selected on DP thymocytes (39, 40), selection is dependent on the SAP/FynT signaling pathway (34, 35, 36, 37, 38), and SLAM is known to be expressed on the surfaces of DP thymocytes (41), SLAM-SLAM interactions may be responsible (42). Slamf1 lies within a haplotype block containing genes encoding nine SLAM family members, many of which contain multiple polymorphism between the minority haplotype, expressed in C57BL/6, C57L, C57BR, C57BL/10, and RF (haplotype 1) and the majority haplotype, which is expressed in 129/SvJ, A/J, AKR/J, BALB/cJ, C3H/HeJ, CBA/J, DBA/2J, MRL/MpJ, NOD/Lt, NZB/B1WJ, NZW, SJL/J, and others (haplotype 2; Ref. 43). The lupus susceptibility gene Sle1b has been localized to this region by congenic mapping and is expressed in haplotype 2 (43).
RT-PCR and flow cytometry confirmed a major difference in SLAM expression on the thymocytes of NOD.Nkrp1b.Nkt1b and NOD.Nkrp1b mice. 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 DP thymocytes and then decline to relatively lower levels on mature 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. 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-
, in a manner analogous to the cytokine phenotypes of Slamf1/ and Sap/ targeted mutant mice (18, 19, 20).
The retardation of developmentally programmed SLAM expression in NOD mice has three significant implications. First, as DP thymocytes account for >80% of the thymus, it explains the finding of differential gene expression between the strains in whole thymic RNA preparations. Second, because NKT cells are positively selected on DP thymocytes via a mechanism dependent on the SAP/FynT signaling pathway, decreased SLAM expression at this developmental stage may provide an explanation for the reduced numbers of NKT cells in NOD mice. Third, as SLAM also acts as a costimulator for conventional T cells, it is possible that the relatively lower levels of SLAM expression at the stage of negative selection (late DP stage) compared with those at maturity (SP thymocytes and in the periphery) result in a lowering of the signaling threshold of conventional T cells in the periphery. If true, this may result in an increased proportion of peripheral T cells capable of responding to self-Ags.
In conclusion, the data presented make a strong case for the hypothesis that the control of NKT cell numbers attributed to the Nkt1 gene is mediated by differential expression of Slamf1 and are consistent with an additional contribution by Slamf6. In addition, it is possible that the retarded programmed expression of SLAM on developing conventional T cells of NOD mice may contribute to lowering their TCR signaling threshold in the periphery thereby contributing to autoimmune disease in this strain.
| Acknowledgments |
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| Footnotes |
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1 A.G.B. is supported by an Australian National Health and Medical Research Council Senior Research Fellowship, J.M.F. is the recipient of an Australian Postgraduate Award, and M.A.J. is the recipient of a James Cook University intramural scholarship. This project was funded by the Australian National Health and Medical Research Council. ![]()
2 M.A.J. and J.M.F. contributed equally to this manuscript. ![]()
3 Address correspondence and reprint requests to Dr. Alan G. Baxter, Comparative Genomics Center, Molecular Sciences Building 21, James Cook University, Townsville, Queensland 4811, Australia. E-mail address: Alan.Baxter{at}jcu.edu.au ![]()
4 Abbreviations used in this paper: iNKT, invariant NKT; CD1d/
-GalCer, CD1/
-galactosylceramide; DP, double positive; SAP, SLAM-associated protein; SH, Src homology; SLAM, signaling lymphocyte activation molecule; SP, single positive. ![]()
Received for publication January 19, 2006. Accepted for publication November 21, 2006.
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L. Wu and L. V. Kaer Role of NKT Cells in the Digestive System. II. NKT cells and diabetes Am J Physiol Gastrointest Liver Physiol, November 1, 2007; 293(5): G919 - G922. [Abstract] [Full Text] [PDF] |
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