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磷酸化介导的构象变化调节人类SLFN11。

Phosphorylation-mediated conformational change regulates human SLFN11.

作者信息

Kugler Michael, Metzner Felix J, Witte Gregor, Hopfner Karl-Peter, Lammens Katja

机构信息

Gene Center and Department of Biochemistry, Ludwig-Maximilians-Universität München, Feodor-Lynen Straße 25, 81377, Munich, Germany.

出版信息

Nat Commun. 2024 Dec 3;15(1):10500. doi: 10.1038/s41467-024-54833-7.

DOI:10.1038/s41467-024-54833-7
PMID:39627193
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11615386/
Abstract

Human Schlafen 11 (SLFN11) is sensitizing cells to DNA damaging agents by irreversibly blocking stalled replication forks, making it a potential predictive biomarker in chemotherapy. Furthermore, SLFN11 acts as a pattern recognition receptor for single-stranded DNA (ssDNA) and functions as an antiviral restriction factor, targeting translation in a codon-usage-dependent manner through its endoribonuclease activity. However, the regulation of the various SLFN11 functions and enzymatic activities remains enigmatic. Here, we present cryo-electron microscopy (cryo-EM) structures of SLFN11 bound to tRNA-Leu and tRNA-Met that give insights into tRNA binding and cleavage, as well as its regulation by phosphorylation at S219 and T230. SLFN11 phosphomimetic mutant S753D adopts a monomeric conformation, shows ATP binding, but loses its ability to bind ssDNA and shows reduced ribonuclease activity. Thus, the phosphorylation site S753 serves as a conformational switch, regulating SLFN11 dimerization, as well as ATP and ssDNA binding, while S219 and T230 regulate tRNA recognition and nuclease activity.

摘要

人类 Schlafen 11(SLFN11)通过不可逆地阻断停滞的复制叉使细胞对 DNA 损伤剂敏感,这使其成为化疗中一种潜在的预测生物标志物。此外,SLFN11 作为单链 DNA(ssDNA)的模式识别受体,并作为一种抗病毒限制因子,通过其核糖核酸内切酶活性以密码子使用依赖的方式靶向翻译。然而,SLFN11 各种功能和酶活性的调控仍然未知。在这里,我们展示了与 tRNA-Leu 和 tRNA-Met 结合的 SLFN11 的冷冻电子显微镜(cryo-EM)结构,这些结构揭示了 tRNA 结合和切割以及其在 S219 和 T230 处磷酸化的调控情况。SLFN11 磷酸模拟突变体 S753D 采用单体构象,显示出 ATP 结合,但失去了结合 ssDNA 的能力并表现出降低的核糖核酸酶活性。因此,磷酸化位点 S753 作为一种构象开关,调节 SLFN11 的二聚化以及 ATP 和 ssDNA 结合,而 S219 和 T230 调节 tRNA 识别和核酸酶活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/7c6107e9091f/41467_2024_54833_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/bde447c56d73/41467_2024_54833_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/357252d6bd3c/41467_2024_54833_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/a5f04d95c786/41467_2024_54833_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/73e73aea9344/41467_2024_54833_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/8091268016ef/41467_2024_54833_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/7c6107e9091f/41467_2024_54833_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/bde447c56d73/41467_2024_54833_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/357252d6bd3c/41467_2024_54833_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/a5f04d95c786/41467_2024_54833_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/73e73aea9344/41467_2024_54833_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/8091268016ef/41467_2024_54833_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa0f/11615386/7c6107e9091f/41467_2024_54833_Fig6_HTML.jpg

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本文引用的文献

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2
DNA damage induces p53-independent apoptosis through ribosome stalling.DNA 损伤通过核糖体停滞诱导 p53 非依赖性细胞凋亡。
Science. 2024 May 17;384(6697):785-792. doi: 10.1126/science.adh7950. Epub 2024 May 16.
3
Accurate structure prediction of biomolecular interactions with AlphaFold 3.
从预测性生物标志物到治疗靶点:SLFN11在化疗敏感性中的双重作用。
Cancer Chemother Pharmacol. 2025 Jun 18;95(1):60. doi: 10.1007/s00280-025-04781-w.
4
Structural and functional characterization of human SLFN14.人类SLFN14的结构与功能特性
Nucleic Acids Res. 2025 May 22;53(10). doi: 10.1093/nar/gkaf484.
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SLFN11-mediated ribosome biogenesis impairment induces TP53-independent apoptosis.SLFN11介导的核糖体生物合成损伤诱导非依赖TP53的细胞凋亡。
Mol Cell. 2025 Mar 6;85(5):894-912.e10. doi: 10.1016/j.molcel.2025.01.008. Epub 2025 Feb 4.
利用 AlphaFold 3 进行生物分子相互作用的精确结构预测。
Nature. 2024 Jun;630(8016):493-500. doi: 10.1038/s41586-024-07487-w. Epub 2024 May 8.
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