NG25

The transforming growth factor beta-activated kinase 1 (TAK1)/c-Jun N-terminal kinase (JNK) axis is an essential MAPK upstream mediator and regulates immune signaling pathways. However, whether the TAK1/JNK axis harnesses the strength in regulation of signal transduction in early vertebrate adaptive immunity is unclear. In this study, by modeling on Nile tilapia (Oreochromis niloticus), we investigated the potential regulatory function of TAK1/JNK axis on lymphocyte-mediated adaptive immune response. Both OnTAK1 and OnJNK exhibited highly conserved sequences and structures relative to their counterparts in other vertebrates. Their mRNA was widely expressed in the immune-associated tissues, while phosphorylation levels in splenic lymphocytes were significantly enhanced on the 4th day post-infection by Edwardsiella piscicida. In addition, OnTAK1 and OnJNK were significantly up-regulated in transcriptional level after activation of lymphocytes in vitro by phorbol 12-myristate 13-acetate plus ionomycin (P + I) or PHA, accompanied by a predominant increase in phosphorylation level. More importantly, inhibition of OnTAK1 activity by specific inhibitor NG25 led to a significant decrease in the phosphorylation level of OnJNK. Furthermore, blocking the activity of OnJNK with specific inhibitor SP600125 resulted in a marked reduction in the expression of T-cell activation markers including IFN-γ, CD122, IL-2, and CD44 during PHA-induced T-cell activation. In summary, these findings indicated that the conserved TAK1/JNK axis in Nile tilapia was involved in adaptive immune responses by regulating the activation of lymphocytes. This study enriched the current knowledge of adaptive immunity in teleost and provided a new perspective for understanding the regulatory mechanism of fish immunity.

To examine the precise function of influenza A virus target genes (IATGs) in malignancy.

Using multi-omics data from the TCGA and TCPA datasets, 33 tumor types were evaluated for IATGs. IATG expression in cancer cells was analyzed using transcriptome analysis. Copy number variation (CNV) was assessed using GISTICS 2.0. Spearman's analysis was used to correlate mRNA expression with methylation levels. GSEA was used for the enrichment analysis. Pearson's correlation analysis was used to examine the association between IATG mRNA expression and IC50. The ImmuCellAI algorithm was used to calculate the infiltration scores of 24 immune cell types.

In 13 solid tumors, IATG mRNA levels were atypically expressed. Except for UCS, UVM, KICH, PCPG, THCA, CHOL, LAMI, and MESO, most cancers contained somatic IATG mutations. The main types of CNVs in IATGs are heterozygous amplifications and deletions. In most tumors, IATG mRNA expression is adversely associated with methylation. RT-PCR demonstrated that EGFR, ANXA5, CACNA1C, CD209, UVRAG were upregulated and CLEC4M was downregulated in KIRC cell lines, consistent with the TCGA and GTEx data.

Genomic changes and clinical characteristics of IATGs were identified, which may offer fresh perspectives linking the influenza A virus to cancer.