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从自噬体的蛋白质含量分析中鉴定潜在的选择性自噬受体。

Identification of potential selective autophagy receptors from protein-content profiling of autophagosomes.

机构信息

Institute of Biochemistry II, School of Medicine, Goethe University Frankfurt, Frankfurt, Germany.

Buchmann Institute for Molecular Life Sciences, Goethe University Frankfurt, Frankfurt, Germany.

出版信息

J Cell Biochem. 2024 Nov;125(11):e30405. doi: 10.1002/jcb.30405. Epub 2023 Apr 23.

DOI:10.1002/jcb.30405
PMID:37087736
Abstract

Selective autophagy receptors (SARs) are central to cellular homeostatic and organellar recycling pathways. Over the last two decades, more than 30 SARs have been discovered and validated using a variety of experimental approaches ranging from cell biology to biochemistry, including high-throughput imaging and screening methods. Yet, the extent of selective autophagy pathways operating under various cellular contexts, for example, under basal and starvation conditions, remains unresolved. Currently, our knowledge of all known SARs and their associated cargo components is fragmentary and limited by experimental data with varying degrees of resolution. Here, we use classical predictive and modeling approaches to integrate high-quality autophagosome content profiling data with disparate datasets. We identify a global set of potential SARs and their associated cargo components active under basal autophagy, starvation-induced, and proteasome-inhibition conditions. We provide a detailed account of cellular components, biochemical pathways, and molecular processes that are degraded via autophagy. Our analysis yields a catalog of new potential SARs that satisfy the characteristics of bonafide, well-characterized SARs. We categorize them by the subcellular compartments they emerge from and classify them based on their likely mode of action. Our structural modeling validates a large subset of predicted interactions with the human ATG8 family of proteins and shows characteristic, conserved LC3-interacting region (LIR)-LIR docking site (LDS) and ubiquitin-interacting motif (UIM)-UIM docking site (UDS) binding modes. Our analysis also revealed the most abundant cargo molecules targeted by these new SARs. Our findings expand the repertoire of SARs and provide unprecedented details into the global autophagic state of HeLa cells. Taken together, our findings provide motivation for the design of new experiments, testing the role of these novel factors in selective autophagy.

摘要

选择性自噬受体 (SARs) 是细胞内稳态和细胞器回收途径的核心。在过去的二十年中,已经发现并验证了 30 多种 SARs,使用的实验方法从细胞生物学到生物化学不等,包括高通量成像和筛选方法。然而,在各种细胞环境下(例如,在基础和饥饿条件下)操作的选择性自噬途径的程度仍未得到解决。目前,我们对所有已知的 SARs 及其相关的货物成分的了解是零碎的,并且受到具有不同分辨率的实验数据的限制。在这里,我们使用经典的预测和建模方法将高质量的自噬体内容分析数据与不同数据集整合在一起。我们确定了一组在基础自噬、饥饿诱导和蛋白酶体抑制条件下活跃的全局潜在 SARs 及其相关货物成分。我们详细介绍了通过自噬降解的细胞成分、生化途径和分子过程。我们的分析产生了一个新的潜在 SARs 的目录,这些 SARs 满足了真正的、特征良好的 SARs 的特征。我们根据它们出现的亚细胞区室对它们进行分类,并根据它们可能的作用方式对它们进行分类。我们的结构建模验证了与人类 ATG8 家族蛋白的大量预测相互作用中的一个子集,并显示了特征性的、保守的 LC3 相互作用区域 (LIR)-LIR 对接位点 (LDS) 和泛素相互作用基序 (UIM)-UIM 对接位点 (UDS) 结合模式。我们的分析还揭示了这些新的 SARs 靶向的最丰富的货物分子。我们的发现扩展了 SARs 的范围,并为 HeLa 细胞的全球自噬状态提供了前所未有的详细信息。总之,我们的发现为设计新的实验提供了动力,这些实验测试了这些新因素在选择性自噬中的作用。

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