Literature DB >> 27973603

Mucosal Expression of T Cell Gene Variants Is Associated with Differential Resistance to Teladorsagia circumcincta.

Hazel Wilkie1, Louise Nicol1, Anton Gossner1, John Hopkins1.   

Abstract

Resistance of sheep to the gastrointestinal nematode Teladorsagia circumcincta is a heritable characteristic. Control of parasite colonization and egg production is strongly linked to IgA antibody levels regulated by Th2 T cell activation within lymphoid tissue; and persistently-infected susceptible animals develop an inflammatory Th1/Th17 response within the abomasum that fails to control infection. Differential T cell polarization therefore is associated with parasite resistance and/or susceptibility and is controlled by a specific set of transcription factors and cytokine receptors. Transcript variants of these genes have been characterized in sheep, while in humans and mice different variants of the genes are associated with inflammatory diseases. RT-qPCR was used to quantify mucosal expression of the transcript variants of the sheep genes in trickle-infected animals with defined phenotypic traits. Genes that encode full-length GATA3 and IL17RB were shown to be significantly increased in resistant sheep that had controlled parasite infection. Expression levels of both were significantly negatively correlated with abomasal worm count (a parameter of susceptibility) and positively correlated with body weight (a parameter of resistance). These data show that polarized Th2 T cells within the abomasal mucosa play an important role in the maintenance of resistance.

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Year:  2016        PMID: 27973603      PMCID: PMC5156391          DOI: 10.1371/journal.pone.0168194

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

One of the most common parasites of the sheep in temperate regions is the nematode Teladorsagia circumcincta [1] that infects the abomasum or true stomach. Spring lambs are highly susceptible and become infected soon after weaning; however many eventually develop an adaptive immune response that controls parasite colonization and egg production. Major effector mechanisms are anti-worm antibodies and mast cells; and IgA antibody levels show association [2, 3] with faecal egg count (FEC) and abomasal adult worm count (AWC) in lambs [4]. The capacity to control T. circumcincta infections is a heritable characteristic and phenotypic traits like FEC and IgA levels have been used as markers for resistance selection [5-7]. The production of antibodies and maturation of mast cells is regulated by the differential polarization of antigen-activated CD4+ T cells [8-10]; and studies in mice have highlighted the central role of the Th2 cell products interleukin (IL)-4 and IL-13 in the control of gastrointestinal nematodes [11-13]. However, control of nematode parasites in mice involves more than just an unregulated Th2 response. A high Th2 and Treg response can often lead to low-level persistent infection [14-16]; and responses associated principally with Th1 and Th17 activation gives rise to tissue-damaging inflammation and exacerbated disease [12, 14]. Consequently, long-term control of parasite infection (resistance) is achieved by an optimal balance of Th1, Th2 and Treg activation [14]. The differential polarization of T cells can also be seen in the distinct clinical outcomes of gastrointestinal nematode infections in sheep. Th2 responses with high levels of IL-4 and IL-13 are clearly associated with resistance to T. circumcincta [17, 18], control of Haemonchus contortus [19] and Trichostrongylus colubriformis infection [20, 21]. In contrast, sheep that are susceptible to T. circumcincta and carry high parasite loads express high levels of Th1 and Th17 cytokines [17, 18]; although IFNγ levels in pre-infected (immunized) sheep that rapidly control T. circumcincta infection are similar to those in naïve sheep with high levels of parasite infection [22]. Evidence of a role for Tregs in chronic T. circumcincta infection is lacking as there is no differential expression, in abomasal lymph node (ALN), of the regulatory cytokines IL-10 and TGFβ nor the Treg transcription factor FOXP3 between resistant and susceptible sheep at a late stage of infection [17]. Development of polarized T cell subsets from naïve T cells is under the control of cytokines, receptors and transcription factors [23]. IL-12 and IL-23 expressed by macrophages interact with their T cell-expressed receptors, IL-12RB1/IL-12RB2 and IL-23R/IL-12RB1 respectively [24]. This leads to the expression and activation of the transcription factors T-bet (TBX21) and RORγt (RORC2), and the development of Th1 and Th17 cell subsets respectively [25, 26]. The transcription factor RORα is also required for optimal Th17 development [27]. The interaction of IL-25 with the heterodimeric receptor complex, IL-17RA/IL-17RB results in the increased expression and activation of the transcription factor GATA3, the transactivation of the IL4 gene cassette [28] and the enhancement of Th2 responses. Alternative splicing (AS) is a common mechanism for generating multiple variable transcripts from single genes [29], and many transcripts associated with T cell functions are alternatively-spliced products [30]. Our recent work identified only single transcripts of TBX21 [31] and IL17RA [32] but multiple transcript variants of GATA3, RORC2 and RORA [31], as well as IL23R, IL12RB1 and IL17RB [32]. Furthermore we showed that expression levels, in ALN, of transcript variants of RORA were significantly correlated to the quantitative parameters of T. circumcincta resistance [31] and variants of IL23R and IL17RB were differentially-expressed in the ileo-caecal lymph node of sheep with paratuberculosis [32]. In the current study we used Blackface sheep with variety in their predicted genetic susceptibility to T. circumcincta. These were trickle-infected to simulate normal, field infection; which led to animals with a range of resistance as measured by post-mortem AWC, FEC, body weight (BW) and serum IgA antibody levels [2]. This study tested the hypothesis that differential expression, within the abomasal mucosa (AM), of individual variants of the master regulator transcription factor and cytokine receptor genes associated with control of T cell polarization are associated with resistance to T. circumcincta. Relative RT-qPCR of resistant and susceptible sheep was initially used to compare the expression of each variant of the transcription factors and cytokine receptor components in the AM, the site of T. circumcincta colonization and pathology [17]. Absolute (copy number) RT-qPCR was then developed for those transcripts that showed significant differential expression in the relative analysis, to assess if individual variant usage correlated with the defined quantitative parameters of resistance.

Materials and Methods

Animals and experimental design

Female Blackface lambs were ~13 weeks old and originated from a flock used previously for QTL and quantitative genetic analyses [33]. They were housed in worm-free conditions; 45 lambs were infected with ~2300 infective L3 T. circumcincta larvae three times a week for 12 weeks, and 10 were sham-infected controls. At the time of infection, the 55 lambs had a mean body weight of 13.4 ± 0.2 kg, no detectable FEC or IgA antibody. At post mortem the AWC ranged from 0 to 11300 and FEC from 0–950 eggs per g (S1 Table) and the animals were ranked (1–45) according to their infection level [2]. All details of animals and animal husbandry, infection protocols, phenotypes and population genetic analyses have been previously described [2, 17, 31]. Animal experiments were approved by University of Edinburgh Ethical Review Committee and conducted under an Animals (Scientific Procedures) Act 1986 Project Licence. Animals were housed in an open barn; infected animals were in two pens of ~180 m2 each and the ten control animals were in a pen of ~50 m2. Animals were bedded on clean straw with ad libitum hay and water, supplemented with Maize Lamb Pellets (16.0% protein; Carrs Billington, Carlisle, UK) twice a day; and were examined at least daily. All animals were vaccinated with Heptavac P Plus at 5 and 6 weeks and Scabivax (MSD Animal Health, UK) at 6 weeks. Most lambs were treated with 2 ml Hexasol (Norbrook Pharmaceuticals, UK) for respiratory infections. Animals showing mild symptoms of visceral pain associated with parasite infection were treated, under veterinary instructions, with 2 ml Finadyne (MSD Animal Health). Lambs were killed by intravenous administration of Euthetal (Merial Animal Health, UK).

Sample collection and RNA isolation

Abomasal mucosa was removed immediately post mortem and stored at –80°C in RNAlater (Ambion, UK). Total RNA was isolated from ~ 20mg tissue using the Ribopure Kit (Ambion) according to the manufacturers’ instructions, and genomic DNA was removed by on-column PureLink® DNase I treatment (Ambion). RNA quantity, quality and integrity was assessed by a NanoDrop ND-1000 spectrophotometer and Agilent 2200 TapeStation system; all samples had an RNA Integrity Number of >7.5.

RT-qPCR quantification of transcript variants

cDNA was synthesised from 1.0 μg RNA using SuperScript™ II RT with RNaseOUT (Invitrogen, UK) and oligo-dT(15) primer (Promega, UK) in 20 μl final volume. Primers for the transcription factor and cytokine receptor variants have been described previously [31, 32] and were selected to overlap exon/exon boundaries (S2 Table); all amplicons were sequenced to ensure specificity. Each reaction contained 7.5 μl FastStart Universal SYBR Green Master (Rox) 2x concentrated master mix (Roche), 2 μl template cDNA (diluted 1/10), 0.25–1.0 μl of each primer at 10 mM and nuclease-free water to a final volume of 15 μl. Reactions were prepared using a CAS-1200™ robot and performed on a Rotor-Gene Q (Qiagen). Amplification was followed by dissociation curve analysis. PCR optimization was performed on cDNA from a pool of AM samples. Not all variants could be quantified; the signals for GATA3v1, RORAv2, v3, v4 and v5; and IL23R and v1, v2, v3, v4 and v5; IL12RB1v1, v2 and v4; and IL17RBv1 were too low for accurate quantification as they were detected only after > 30 cycles PCR, outside the linear part of the standard curve. Relative expression levels were measured in duplicate from two separate RT reactions for each of the nine most resistant and the nine most susceptible lambs, with duplicate no-template controls included in all runs. Optimized RT-qPCR assays had an efficiency >95% and R2 value of >0.98. Absolute copy numbers were also calculated from duplicate samples from two separate RT reactions for all lambs. Relative transcript levels were calculated in GenEx 5 (MultiD Analyses AB, Sweden) using the comparative 2-(ΔΔ Cq) method and normalized to the geometric mean of GAPDH and SDHA; fold changes were calculated from ΔCq values using GenEx. To calculate copy number in all 45 infected and the 10 uninfected sheep, a standard curve of linearized plasmid was used with a dynamic range of at least five orders of magnitude. For each point on the standard curve, copy numbers were calculated from Cq values: M = plasmid size x 660g/mol per bp. The expression levels were normalized by dividing the copy number derived from the standard curve, by the calculated normalization factor [34] for each sample, using the geometric mean of GAPDH and SDHA. RT replicates were averaged per animal and multiplied by the dilution factor (x100) to calculate the copy number per μg of total RNA.

Statistical analysis

Relative transcript levels were analyzed in GenEx using an unpaired, 2-tailed t-test to determine the difference between groups. Graph Pad Prism 6.07 for Windows (Graph Pad Software, USA) was used for statistical analysis of the copy number expression data. The data were grouped into resistant, intermediate, susceptible (n = 15 per group) and uninfected (n = 10). One-way ANOVA was performed to determine overall significance and Tukey’s multiple comparisons test within ANOVA was used to determine significance between groups. Correlations between transcript levels and quantitative phenotypes were analyzed with 2-tailed Spearman’s correlation coefficient (rs); P-values ≤ 0.05 were considered statistically significant.

Results

Transcription factor expression in abomasal mucosa

Relative RT-qPCR was used to compare the expression of each transcript in the AM, comparing the nine most resistant (rank 1–9) with the nine most susceptible (rank 37–45) sheep. The resistant group had no detectable AWC or FEC, mean BW of 37 ± 1 kg and relative IgA antibody levels of 0.8 ± 0.5. The susceptible group were those with AWC (mean 6078 ± 2063, range 4000–11300), FEC (mean 350 ± 289, range 75–950), mean BW of 24 ± 4 kg) and relative IgA levels of 0.22 ± 0.21. For comparison, the ten uninfected lambs had no AWC and FEC, mean body weight of 33 ± 3 kg and all had IgA levels <0.02 (S1 Table). Table 1 shows the relative expression (resistant vs. susceptible, fold change and P-value) of each quantifiable variant and shows that GATA3 was significantly increased 2.06 fold (p = 0.0002) in the resistant animals and RORC2v1 (-1.3 fold, p = 0.03) was significantly decreased in the resistant animals. Full length RORC2 was also significantly decreased in the resistant group (-1.41 fold, p = 0.01) but the primer pair used could not discriminate RORC1 from RORC2, and RORC1 is expressed in the AM (S1 Fig). TBX21 and RORAv1 were not significantly differentially-expressed.
Table 1

Relative expression of transcription factors transcripts in the abomasal mucosa.

GeneFold change (R vs S)P-value
TBX211.240.19
GATA32.060.0002
RORC2 a-1.410.01
RORC2v1-1.300.03
RORAv1-1.370.25

Bold; P ≤ 0.05.

a these data represent both RORC1 and RORC2

Bold; P ≤ 0.05. a these data represent both RORC1 and RORC2

Cytokine receptor expression in abomasal mucosa

Table 2 shows the relative expression of the IL-23 and IL-25 receptor component transcripts in AM of the resistant, compared to susceptible animals. Only IL17RBv2 showed evidence of significant differential expression and was increased 2.1 fold (p = 0.01) in the AM of resistant animals. Full length IL17RB was increased 1.81 fold but was not significant, p = 0.08. All other cytokine receptor transcripts were either not significantly differentially-expressed or the expression levels were too low to quantify accurately.
Table 2

Relative expression of IL-23 and IL-25 receptor transcripts in the abomasal mucosa.

GeneFold change (R vs S)P-value
IL12RB11.420.11
IL12RB1v31.360.15
IL17RA1.120.39
IL17RB1.810.08
IL17RBv22.100.01
IL17RBv3-1.090.82

Bold; P ≤ 0.05.

Bold; P ≤ 0.05.

Absolute quantification of transcripts

GATA3, RORC2v1, IL17RB and IL17RBv2 were chosen for copy number (absolute) analysis in the mucosa of the 45 infected lambs and the ten uninfected controls (S1 Table). These were initially analysed in four groups; the 15 most resistant lambs (rank 1–15, mean AWC 59 and FEC 1.7), the 15 intermediate lambs (rank 16–30, AWC 1508 and FEC 87), the 15 most susceptible animals (rank 31–45, AWC 5167 and FEC 288) and the ten uninfected controls. The mean expression levels of GATA3 (Fig 1A) was highest in the resistant group (20291 ± 7904 copies per μg RNA) and declined from the intermediate (17869 ± 7116) to the susceptible groups (14102 ± 4831). The level in the uninfected controls was 16929 ± 10479, with no significant difference between any of the four groups (ANOVA p = 0.174).
Fig 1

Expression of GATA3, RORCv1, IL17RB and IL17RBv2 in the AM of T. circumcincta infected sheep.

Copy number per μg total RNA in rank 1–15 resistant sheep; rank 16–30 intermediate and rank 31–45 susceptible sheep. Error bars are means ± SD. One-way ANOVA for GATA3 p = 0.174 (p = 0.05, infected animals only). RORC2v1 p <0.0001 (p = 0.27, infected animals only). IL17RB p <0.0001 (p = 0.06, infected animals only). IL17RBv2 p = 0.179 (p = 0.1, infected animals only). ** p ≤ 0.01, *** p ≤ 0.001, **** p ≤ 0.0001 (Tukey’s multiple comparison test within ANOVA).

Expression of GATA3, RORCv1, IL17RB and IL17RBv2 in the AM of T. circumcincta infected sheep.

Copy number per μg total RNA in rank 1–15 resistant sheep; rank 16–30 intermediate and rank 31–45 susceptible sheep. Error bars are means ± SD. One-way ANOVA for GATA3 p = 0.174 (p = 0.05, infected animals only). RORC2v1 p <0.0001 (p = 0.27, infected animals only). IL17RB p <0.0001 (p = 0.06, infected animals only). IL17RBv2 p = 0.179 (p = 0.1, infected animals only). ** p ≤ 0.01, *** p ≤ 0.001, **** p ≤ 0.0001 (Tukey’s multiple comparison test within ANOVA). The levels of RORC2v1 (Fig 1B) were almost the same in the three infected groups (resistant, 18919 ± 6998; intermediate, 17630 ± 5482; susceptible, 21420 ± 6756), although the expression level in uninfected sheep was more than two-fold greater (48352 ± 20764) than in the infected groups (ANOVA p <0.0001). IL17RB expression (Fig 1C) was also not significantly different between the three infected groups (resistant, 23207 ± 12474; intermediate, 17653 ± 7216; susceptible, 14338 ± 9907), but in contrast to RORC2v1, IL17RB expression was significantly lower in uninfected controls (1233 ± 538) than in the infected groups (ANOVA p < 0.0001). IL17RBv2 levels (Fig 1D) were similar in all groups (resistant, 1181 ± 826; intermediate, 987 ± 578; susceptible, 652 ± 544, control, 1006 ± 538) with no significant differences (ANOVA p = 0.179).

Correlation of expression levels and quantitative phenotypes

Spearman’s rank analysis was used to quantify the correlation of these selected variants with the quantitative phenotypes, AWC, FEC, BW and IgA levels. GATA3 levels (Fig 2) were significantly negatively correlated with AWC (rs -0.42, p = 0.004) and significantly positively correlated with BW (rs 0.44, p = 0.003) and IgA (rs 0.32, p = 0.03), but was not significantly correlated with FEC (rs -0.25, p = 0.09). In contrast, RORC2v1 showed no significant relationship with any of the four phenotypes.
Fig 2

Correlation analysis of the phenotypic parameters with GATA3 and RORC2v1.

Correlation of AWC (abomasal worm count), FEC (eggs per g faeces), BW (kg) and IgA (relative levels) with GATA3 and RORC2v1 copy number per μg total RNA in AM of T. circumcincta infected sheep. rs—Spearman’s rank correlation coefficient.

Correlation analysis of the phenotypic parameters with GATA3 and RORC2v1.

Correlation of AWC (abomasal worm count), FEC (eggs per g faeces), BW (kg) and IgA (relative levels) with GATA3 and RORC2v1 copy number per μg total RNA in AM of T. circumcincta infected sheep. rs—Spearman’s rank correlation coefficient. Like GATA3, IL17RB (Fig 3) was also significantly negatively correlated with AWC (rs -0.37, p = 0.01) and positively correlated with BW (rs 0.40, p = 0.006), but was not significantly correlated with either FEC (rs -0.26, p = 0.08) or IgA (rs 0.26, p = 0.09). Although expression levels of IL17RBv2 were more than 15 fold lower than IL17RB in infected animals, expression levels were significantly correlated with all four phenotypes; showing negative correlation with both AWC (rs -0.38, p = 0.01) and FEC (rs -0.40, p = 0.006) and positive correlation with both BW (rs 0.42, p = 0.004) and IgA (rs 0.41, p = 0.005).
Fig 3

Correlation analysis of the phenotypic parameters with IL17RB and IL17RBv2.

Correlation of AWC (abomasal worm count), FEC (eggs per g faeces), BW (kg) and IgA (relative levels) with IL17RB and IL17RBv2 copy number per μg total RNA in AM of T. circumcincta infected sheep. rs—Spearman’s rank correlation coefficient.

Correlation analysis of the phenotypic parameters with IL17RB and IL17RBv2.

Correlation of AWC (abomasal worm count), FEC (eggs per g faeces), BW (kg) and IgA (relative levels) with IL17RB and IL17RBv2 copy number per μg total RNA in AM of T. circumcincta infected sheep. rs—Spearman’s rank correlation coefficient.

Discussion

Our previous studies on the immunological basis of resistance to T. circumcincta had highlighted the role of Th2 T cells in resistance and Th1/Th17 T cell activation in susceptibility [17, 18, 35]. More recently [31] we described the variants of the transcription factors that control T cell polarization and measured their expression in the ALN, the major site of immune response induction, to quantify the relationship between variant usage and phenotypic parameters of resistance. This current study extends this work to quantify transcript variant usage in the AM, the site of parasite colonization, immune response effector functions and infection-associated pathology [17]. Furthermore, it also examines the expression of the different transcript variants of the cytokine receptors associated with differential T cell activation. Full length GATA3, the two RORC2 variants and IL17RBv2 were the only transcript variants shown to be differentially-expressed by relative RT-qPCR, in the nine most resistant and nine most susceptible sheep. The copy number measurement of all animals showed that GATA3 expression was highest in the resistant group and lowest in the susceptible and control groups, but was not significantly different between the groups. However, quantitative levels of GATA3 were significantly negatively correlated with AWC (rs -0.42, p = 0.004), a parameter of susceptibility (and FEC rs -0.25 but p = 0.09), and significantly positively correlated with the two parameters of resistance, BW (rs 0.44, p = 0.003), and IgA (rs 0.32, p = 0.03). The results for full length GATA3 contrasts with GATA3v1 variant, which was not quantifiable in the AM. The GATA3v1 variant (LN848232) has a codon deletion (g.806_808delGAA) at amino acid 260, this variant also exists in humans (NM_002051.2), and this is the first report of any difference in the expression pattern of the two transcripts. The expression levels of full length IL17RB were also negatively correlated with AWC (rs -0.37, p = 0.01) a parameter of susceptibility (and FEC rs -0.26, but p = 0.08), and significantly positively correlated with BW (rs -0.40, p = 0.006) a parameter of resistance (and IgA rs 0.26, p = 0.09). The IL17RBv2 variant is correlated with the phenotypes in the same way as full length IL17RB; but it has a deletion of exon 4 that results in a frame shift, and consequently is predicted to encode a highly truncated protein [32] which is unlikely to have cytokine receptor function as it lacks both transmembrane and intracellular domains. It is possible that the similar expression patterns for these two variants is due to variations in a gene of an upstream regulator that controls both IL17RB and IL17RBv2 transcript expression. GATA3 is the critical transcription factor of Th2 polarization and IL17RB is a major component of the IL-25 receptor. The results for these two transcripts imply that Th2 cells, at the site of parasite infection and immune effector function, may play a role in the maintenance of the resistance phenotype. This contrasts with GATA3 expression in the ALN where there was no differential expression at the site of immune response induction [31] three months after initial infection and during the mature phase of the immune response. IL-25 signalling via IL17RB is also critical for the development of Th9 cells, which in mice augments immunity to Trichinella spiralis [36] and Nippostrongylus brasiliensis [37]. These cells produce IL-9 and inhibit Th2 cytokine production and promote eosinophilia [38]. However, this is unlikely in the T. circumcincta resistant sheep; these animals have increased numbers of eosinophils [2] but they also have high levels of both IL4 and IL13 transcripts [17, 18, 35]. A recent paper has also shown that IL-25 plays a critical role in protective Th2 memory responses to Heligmosomoides polygyrus [39]. RORC2v1 also showed no significant differential expression between the infected groups in the copy number assay; but the expression levels in each infected group were less than half that of the uninfected controls. This variant encodes a 12 amino acid deletion in the ligand-binding domain [31] and consequently is unlikely to be functional. Furthermore, mucosal expression levels of RORC2v1 showed no significant correlation with any of the phenotypic parameters; there was also no differential expression of any RORC2 variants in ALN [31] of the same animals. This implies that recently produced Th17 T cells do not play a critical role in the maintenance of persistent infection of susceptible animals and suggests that the Th17 cytokines found in the ALN of susceptible sheep [17] are derived from cells activated earlier in the infection. This conclusion is also relevant for Th1 cells, which have also been implicated in the susceptibility phenotype, as TBX21 expression levels in the AM and ALN [31] were the same in all animals. Data using mouse models of gastrointestinal nematode infections [40, 41] have shown that components of the excretory-secretory products of infecting helminths are important immunoregulatory elements [42]; these factors suppress IL-12p40 [43] and promote Foxp3 [44] expression leading to the inhibition of Th1 and the promotion of Th2 development. It is possible that some of the variation in the expression of the T cell genes in this study have been influenced by parasite secretions. T. circumcincta secreted products have also been shown to promote Foxp3-expression in vitro [44], although no differential expression of FOXP3 was identified in the resistant and susceptible sheep used in this project [17].

Conclusions

This study investigated the mucosal expression of variants of the transcription factors and cytokine receptors associated with differential T cell activation. Measurements of expression of each variant, in selected lambs with well-defined phenotypes of resistance to the abomasal parasite T. circumcincta, identified that full length GATA3 and IL17RB levels were positively correlated with resistance and negatively correlated with susceptibility. This indicates that Th2-polarized T cells may play an important role in the maintenance of resistance, when present at the site of infection.

Quantitative phenotypic data at post mortem, and normalized copy numbers of IL17RB, IL17RBv2, GATA3, and RORC2v1, in AM of Blackface lambs persistently infected with T. circumcincta.

(PDF) Click here for additional data file.

Primer sequences used for RT-qPCR.

(A) Transcription factors. (B) Cytokine receptors. (C) Housekeeping genes. (PDF) Click here for additional data file.

Expression of RORC1 in abomasal mucosa.

RT-PCR using RORC1 primers. Lane 1; DNA ladder. Lanes 2 and 3; replicate liver cDNA template. Lanes 4 and 5; pooled abomasal mucosa cDNA template. Lanes 6 and 7; replicate no template negative controls. The band arrowed is RORC1, confirmed by sequencing. (PDF) Click here for additional data file.
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