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Aire Downregulation Is Associated with Changes in the Posttranscriptional Control of Peripheral Tissue Antigens in Medullary Thymic Epithelial Cells

View Article: PubMed Central - PubMed

ABSTRACT

Autoimmune regulator (Aire) is a transcriptional regulator of peripheral tissue antigens (PTAs) and microRNAs (miRNAs) in medullary thymic epithelial cells (mTECs). In this study, we tested the hypothesis that Aire also played a role as an upstream posttranscriptional controller in these cells and that variation in its expression might be associated with changes in the interactions between miRNAs and the mRNAs encoding PTAs. We demonstrated that downregulation of Aire in vivo in the thymuses of BALB/c mice imbalanced the large-scale expression of these two RNA species and consequently their interactions. The expression profiles of a large set of mTEC miRNAs and mRNAs isolated from the thymuses of mice subjected (or not) to small-interfering-induced Aire gene knockdown revealed that 87 miRNAs and 4,558 mRNAs were differentially expressed. The reconstruction of the miRNA–mRNA interaction networks demonstrated that interactions between these RNAs were under Aire influence and therefore changed when this gene was downregulated. Prior to Aire-knockdown, only members of the miR-let-7 family interacted with a set of PTA mRNAs. Under Aire-knockdown conditions, a larger set of miRNA families and their members established this type of interaction. Notably, no previously described Aire-dependent PTA interacted with the miRNAs, indicating that these PTAs were somehow refractory. The miRNA–mRNA interactions were validated by calculating the minimal free energy of the pairings between the miRNA seed regions and the mRNA 3′ UTRs and within the cellular milieu using the luciferase reporter gene assay. These results suggest the existence of a link between transcriptional and posttranscriptional control because Aire downregulation alters the miRNA–mRNA network controlling PTAs in mTEC cells.

No MeSH data available.


Hierarchical clustering and color heat-map of miRNAs differentially expressed comparing control to Aire-knockdown mTEC cells. The dendrogram and heat-map were obtained using cluster and treeview algorithms through Agilent GeneSpring platform. Heat-map color legend: red, upregulation, green, downregulation, black, unmodulated (Pearson correlation metrics, fold-change ≥1.5, FDR 0.01). KD, knockdown.
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Figure 3: Hierarchical clustering and color heat-map of miRNAs differentially expressed comparing control to Aire-knockdown mTEC cells. The dendrogram and heat-map were obtained using cluster and treeview algorithms through Agilent GeneSpring platform. Heat-map color legend: red, upregulation, green, downregulation, black, unmodulated (Pearson correlation metrics, fold-change ≥1.5, FDR 0.01). KD, knockdown.

Mentions: We identified 87 differentially expressed miRNAs (p > 0.05, fold-change ≥1.5) after comparing the control with the Aire-knockdown mTEC cells. Hierarchical clustering of the data allowed the identification of clusters of downregulated (repressed) and upregulated (induced) miRNAs (Figure 3), of which 44 were upregulated and 43 were downregulated. These data strongly suggest that these miRNAs are controlled by Aire.


Aire Downregulation Is Associated with Changes in the Posttranscriptional Control of Peripheral Tissue Antigens in Medullary Thymic Epithelial Cells
Hierarchical clustering and color heat-map of miRNAs differentially expressed comparing control to Aire-knockdown mTEC cells. The dendrogram and heat-map were obtained using cluster and treeview algorithms through Agilent GeneSpring platform. Heat-map color legend: red, upregulation, green, downregulation, black, unmodulated (Pearson correlation metrics, fold-change ≥1.5, FDR 0.01). KD, knockdown.
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Related In: Results  -  Collection

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Show All Figures
getmorefigures.php?uid=PMC5120147&req=5

Figure 3: Hierarchical clustering and color heat-map of miRNAs differentially expressed comparing control to Aire-knockdown mTEC cells. The dendrogram and heat-map were obtained using cluster and treeview algorithms through Agilent GeneSpring platform. Heat-map color legend: red, upregulation, green, downregulation, black, unmodulated (Pearson correlation metrics, fold-change ≥1.5, FDR 0.01). KD, knockdown.
Mentions: We identified 87 differentially expressed miRNAs (p > 0.05, fold-change ≥1.5) after comparing the control with the Aire-knockdown mTEC cells. Hierarchical clustering of the data allowed the identification of clusters of downregulated (repressed) and upregulated (induced) miRNAs (Figure 3), of which 44 were upregulated and 43 were downregulated. These data strongly suggest that these miRNAs are controlled by Aire.

View Article: PubMed Central - PubMed

ABSTRACT

Autoimmune regulator (Aire) is a transcriptional regulator of peripheral tissue antigens (PTAs) and microRNAs (miRNAs) in medullary thymic epithelial cells (mTECs). In this study, we tested the hypothesis that Aire also played a role as an upstream posttranscriptional controller in these cells and that variation in its expression might be associated with changes in the interactions between miRNAs and the mRNAs encoding PTAs. We demonstrated that downregulation of Aire in vivo in the thymuses of BALB/c mice imbalanced the large-scale expression of these two RNA species and consequently their interactions. The expression profiles of a large set of mTEC miRNAs and mRNAs isolated from the thymuses of mice subjected (or not) to small-interfering-induced Aire gene knockdown revealed that 87 miRNAs and 4,558 mRNAs were differentially expressed. The reconstruction of the miRNA–mRNA interaction networks demonstrated that interactions between these RNAs were under Aire influence and therefore changed when this gene was downregulated. Prior to Aire-knockdown, only members of the miR-let-7 family interacted with a set of PTA mRNAs. Under Aire-knockdown conditions, a larger set of miRNA families and their members established this type of interaction. Notably, no previously described Aire-dependent PTA interacted with the miRNAs, indicating that these PTAs were somehow refractory. The miRNA–mRNA interactions were validated by calculating the minimal free energy of the pairings between the miRNA seed regions and the mRNA 3′ UTRs and within the cellular milieu using the luciferase reporter gene assay. These results suggest the existence of a link between transcriptional and posttranscriptional control because Aire downregulation alters the miRNA–mRNA network controlling PTAs in mTEC cells.

No MeSH data available.