Fig 1.
RORγt inverse agonists used in gene signature studies.
Compound structures and their potencies in binding assay, cellular reporter assay, and T cell differentiation assay are shown. These compounds were selective in binding to RORγ/γt over RORα and RORβ, effective in blocking RORγt driven luciferase expression, inhibiting Th17 differentiation but not proliferation, and had no effect on Th1 differentiation.
Fig 2.
IL-17A transcript in human CD4 T cells reduced by RORγt siRNA or inverse agonist at later but not early stage of Th17 differentiation.
Human CD4 T cells were activated under Th17 differentiation conditions as described in Material and Methods. RORγt siRNAs (RORC siRNA_2 & 4) and control scramble siRNA (control_3) were transfected into CD4 T cells prior to Th17 differentiation and samples were collected at different time points and the expression of RORγt (A) and IL-17A (B) transcripts was measured by RT-PCR as described in Materials and Methods. RORγt compound D at 0.1 and 0.5 μM and DMSO vehicle control were tested in a similar manner in Th17 differentiation. RORγt (C) and IL-17A (D) transcripts were measured by RT-PCR at different time points. Statistical significance of RORC siRNA or compound treated samples in reducing RORγt or IL-17A mRNA at different time points was analyzed with 2-way ANOVA and P values were indicated as *P<0.05, **P<0.01, ***P<0.001 and ****P<0.0001.
Fig 3.
RORγt or RORα siRNA effect on IL-17A transcript in human CD4 T cells during Th17 differentiation.
Human CD4 T cells purified from 2 donors were activated under Th17 differentiation condition as described in Material and Methods. RORγt and RORα siRNAs, as well as control siRNAs were transfected into CD4 T cells prior to Th17 differentiation and samples were collected at different time points as indicated. Expression of RORγt (A), RORα (B) and IL-17A (C) transcripts was measured by RT-PCR. IL-17A cytokine released in culture supernatants (D) was measured by ELISA. Statistical significance of the difference between RORC or RORA siRNA treated samples compared to mock samples at different time points was analyzed with 2-way ANOVA and P values were presented as *P<0.05, **P<0.01, ***P<0.001, and ****P<0.0001.
Fig 4.
RORγt inverse agonist effect on IL-17A transcript in human CD4 T cells during Th17 differentiation.
Human CD4 T cells purified from 2 donors were activated under Th17 differentiation condition as described in Material and Methods. CD4 T cells were treated with three RORγt inverse agonists at two different concentrations as well as DMSO vehicle control. Expression of IL-17A mRNA in different treated samples was measured by RT-PCR at time points as indicated (A). IL-17A cytokine released in culture supernatants (B) was measured by ELISA. Statistical significance of the difference between compound treated to DMSO samples at different time points was analyzed with 2-way ANOVA and P values were indicated as *P<0.05, **P<0.01, ***P<0.001 and ****P<0.0001.
Fig 5.
Expression of RORγt and RORα4 in human CD4 T cells during Th17 differentiation.
Expression of RORγt isoform from the RORC gene (A) and RORα4 isoform from the RORA gene (B) was determined from detection of isoform specific exon sequences in RNA-Seq data analysis. Exons utilized by different isoforms of the RORC and RORA genes are shown in green, and the frequency of exon sequences in RNA-Seq data are shown in red in the histograms. DMSO treated human CD4 T cell samples from 2 donors at different time points of activation under Th17 differentiation conditions were used for isoform expression analysis.
Fig 6.
Global gene expression profile with RNA-Seq identified genes differentially regulated by RORγt or RORα siRNA in human CD4 T cells during Th17 differentiation.
RNA sequencing profile was performed on RNA samples extracted from human CD4 T cells treated with RORγt or RORα siRNA, or RORγt inverse agonists as described in S1 Table. Genes down-regulated by RORγt (A) and RORα (B) siRNAs, or up-regulated by RORγt or RORα siRNAs (C) were identified in analysis of RNA-Seq data using the criteria described in Materials and Methods. Each column represents log2 ratios of selected genes in one of the 72 comparisons, including comparison of untreated Th17 cells with RORγt or RORα siRNA transfected cells or RORγt inverse agonist treated cells at two time points and T cells from 2 independent donors.
Fig 7.
Global gene expression profile with RNA-Seq identified genes down- or up-regulated by RORγt inverse agonists in human CD4 T cells during Th17 differentiation.
RNA sequencing profile was performed on RNA samples extracted from human CD4 T cells treated with 3 different RORγt inverse agonists at 2 concentrations as described in S1 Table. Genes down-regulated (A) or up-regulated (B) by RORγt inverse agonists were identified in analysis of RNA-Seq data using the criteria described in Materials and Methods. Each column represents log2 ratios of selected genes in one of the 72 comparisons, including comparison of untreated Th17 cells with RORγt or RORα siRNA transfected cells or RORγt inverse agonist treated cells at two time points and T cells from 2 independent donors. Genes down-regulated by RORγt inverse agonists in Th17 cells identified from RNA-Seq analysis were confirmed by RTPCR of donor 1 samples as described in Materials and Methods (C). Heat map of log2 ratios of gene expression in response to treatment of RORγt inverse agonists determined by RNA-Seq and RTPCR were compared.
Table 1.
A total of 24 genes were down-regulated by RORγt siRNAs or inverse agonists in human Th17 cells.
The change in gene expression resulted from treatment of RORγt siRNAs or RORγt inverse agonists was presented in fold change of the geomean average calculated from samples of the two donors.
Table 2.
Upstream regulators of the 24 genes down-regulated by RORγt siRNAs or inverse agonists in human Th17 cells were predicted from IPA analysis and the top 20 regulators are shown.
These regulators were ranked by their P values which reflect the enrichment of the 24 genes regulated directly or indirectly by these upstream regulators. The activation status of upstream regulators was determined from the treatment effect on the involved genes and presented as activation z-scores, with positive value for activated status, and negative value for inhibited status.
Table 3.
Top 10 canonical pathways in IPA associated with the 24 genes that were down-regulated by RORγt siRNAs or inverse agonists in human Th17 cells.
The top 10 canonical pathways were selected by the p-value of overlap of the 24 genes and the genes in each pathway.