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. 2024 Oct 9;10:431. doi: 10.1038/s41420-024-02202-0

Fig. 1. Identification and characteristics of exo-circMETTL3 in sHLH patient plasma.

Fig. 1

A 5 health controls and 10 sHLH patients plasma were subjected to Circular RNA chip analysis. The volcano plot shows the differentially expressed circular RNA in the plasma of children with sHLH (circMETTL3 was marked with a black arrow, p < 0.01 and fold change > 5). GO pathway enrichment analysis of up-regulated circular RNA (B) and down-regulated circular RNA (C). D The expression of circMETTL3 in the 5 health controls and 10 sHLH patients plasma by Circular RNA chip quantification. Data have been represented as mean ± standard deviation (SD). ***p < 0.001. E Identification of characteristics of of healthy and sHLH plasma exosomes by electron microscopy (Scale bar = 100 nm). F The expression of exo-circMETTL3 in the 11 health controls and 20 sHLH patients plasma by qRT-PCR. Data have been represented as mean ± SD. *p < 0.05. G The schematic diagram of the formation of circMETTL3 through reverse splicing of exons 4-6 of pre- mRNA of METTL3. H, I Evaluate the level of linear METTL3 or circMETTL3 after RNase R treatment by qRT-PCR. Data have been represented as mean ± SD. *p < 0.05, **p < 0.01. J, K Analyzing the cytoplasmic and nuclear distribution of CircMETTL3 through cell fractionation in 293 T and THP-1 cells. GAPDH or U6 were used as cytoplasmic or nuclear markers, respectively. L Receiver operating curve (ROC) curve analysis of plasma exo-circMETTL3 as a diagnostic biomarker for sHLH sensitivity analysis.