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SLFN11-mediated tRNA regulation induces cell death by disrupting proteostasis in response to DNA-damaging agents

Iimori, Y.; Morita, T.; Masuda, T.; Kitajima, S.; Kono, N.; Kageyama, S.; Galipon, J.; Sasaki, A. T.; Kanai, A.

2025-01-09 molecular biology
10.1101/2025.01.08.632070 bioRxiv
Show abstract

DNA-damaging agents (DDAs) have long been used in cancer therapy. However, the precise mechanisms by which DDAs induce cell death are not fully understood and drug resistance remains a major clinical challenge. Schlafen 11 (SLFN11) was identified as the gene most strongly correlated with the sensitivity to DDAs based on mRNA expression levels. SLFN11 sensitizes cancer cells to DDAs by cleaving and downregulating tRNALeu(TAA). Elucidating the detailed mechanism by which SLFN11 induces cell death is expected to provide insights into overcoming drug resistance. Here, we show that, upon administration of DDAs, SLFN11 cleaves tRNALeu(TAA), leading to ER stress and subsequent cell death regulated by inositol-requiring enzyme 1 alpha (IRE1). These responses were significantly alleviated by SLFN11 knockout or transfection of tRNALeu(TAA). Our proteomic analysis suggests that tRNALeu(TAA) influences proteins essential for maintaining proteostasis, especially those involved in ubiquitin-dependent proteolysis. Additionally, we identified the cleavage sites of tRNALeu(TAA) generated by SLFN11 in cells, and revealed that tRNA fragments contribute to ER stress and cell death. These findings suggest that SLFN11 plays a crucial role in proteostasis by regulating tRNAs, and thus determines cell fate under DDA treatment. Consequently, targeting SLFN11-mediated tRNA regulation could offer a novel approach to improve cancer therapy. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=84 SRC="FIGDIR/small/632070v1_ufig1.gif" ALT="Figure 1"> View larger version (21K): org.highwire.dtl.DTLVardef@9a9e27org.highwire.dtl.DTLVardef@1053186org.highwire.dtl.DTLVardef@1f67ae4org.highwire.dtl.DTLVardef@fe3091_HPS_FORMAT_FIGEXP M_FIG C_FIG

Published in Nucleic Acids Research (predicted rank #5) · training set

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