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Research Article

Correlation of the transcription factors IRF4 and BACH2 with the abnormal NFATC1 expression in T cells from chronic myeloid leukemia patients

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Figures & data

Figure 1. Gene differentially expressed in T cells from CML patients and healthy donors. (A) The different gene expression profiles. Differentially expressed genes were selected based on a FC >1.5 or a FC <−1.5 with a p < 0.05. Red: Up-regulated genes; Blue: Down-regulated genes; Gray: other genes. The ‘limma' R package was used for analysis. (B) Heatmap of differentially expressed genes between CML patients and healthy donors. (C) KEGG signaling pathway enrichment analysis. White asterisks: Signaling pathways related to T cells. The ‘clusterProfiler' R package was used for analysis. (D) GO enrichment analysis. The ‘clusterProfiler' R package was used for analysis. The R (version 4.0.4) was used for analysis and graphics in this figure.

Figure 1. Gene differentially expressed in T cells from CML patients and healthy donors. (A) The different gene expression profiles. Differentially expressed genes were selected based on a FC >1.5 or a FC <−1.5 with a p < 0.05. Red: Up-regulated genes; Blue: Down-regulated genes; Gray: other genes. The ‘limma' R package was used for analysis. (B) Heatmap of differentially expressed genes between CML patients and healthy donors. (C) KEGG signaling pathway enrichment analysis. White asterisks: Signaling pathways related to T cells. The ‘clusterProfiler' R package was used for analysis. (D) GO enrichment analysis. The ‘clusterProfiler' R package was used for analysis. The R (version 4.0.4) was used for analysis and graphics in this figure.

Figure 2. The different genes associated with T cell function in CD3+ T cells from CML patients and healthy donors. (A) The relationship between the different genes and T cell biological behaviors. The ‘GOplot' R package was used for graphics. (B) Heatmap of different genes related to the TCR signaling pathway. The R (version 4.0.4) was used for graphics in this figure.

Figure 2. The different genes associated with T cell function in CD3+ T cells from CML patients and healthy donors. (A) The relationship between the different genes and T cell biological behaviors. The ‘GOplot' R package was used for graphics. (B) Heatmap of different genes related to the TCR signaling pathway. The R (version 4.0.4) was used for graphics in this figure.

Figure 3. Expression of transcription factors that potentially regulate NFATC1 in CD3+ T cells from CML patients and healthy donors. (A) The expression of 24 transcription factors that may regulate NFATC1 in CML patients and healthy donors. (B) Left: Screening strategy for the 24 potential transcription factors; Right: The predicted genomic positions of the BACH2 and IRF4 that regulate NFATC1. (C) RT-qPCR results for BACH2, IRF4, NFATC1, NFATC2, NFATC3. Mean of two normally distributed variables was compared by independent samples Student’s test. The results are graphing the standard deviation. ** p < 0.01, **** p < 0.001. (D) Correlations between IRF4, NFATC3, BACH2 and NFATC1 from RT-qPCR results. The Pearson’s Correlation was used to analyze the linear relationship between each gene. (E) The interaction of NFATC1, IRF4 and BACH2 that is analyzed by PPI analysis. The R (version 4.0.4) was used for analysis and graphics in this figure.

Figure 3. Expression of transcription factors that potentially regulate NFATC1 in CD3+ T cells from CML patients and healthy donors. (A) The expression of 24 transcription factors that may regulate NFATC1 in CML patients and healthy donors. (B) Left: Screening strategy for the 24 potential transcription factors; Right: The predicted genomic positions of the BACH2 and IRF4 that regulate NFATC1. (C) RT-qPCR results for BACH2, IRF4, NFATC1, NFATC2, NFATC3. Mean of two normally distributed variables was compared by independent samples Student’s test. The results are graphing the standard deviation. ** p < 0.01, **** p < 0.001. (D) Correlations between IRF4, NFATC3, BACH2 and NFATC1 from RT-qPCR results. The Pearson’s Correlation was used to analyze the linear relationship between each gene. (E) The interaction of NFATC1, IRF4 and BACH2 that is analyzed by PPI analysis. The R (version 4.0.4) was used for analysis and graphics in this figure.
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Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.