Global cellular proteo-lipidomic profiling of diverse lysosomal storage disease mutants using nMOST.

利用 nMOST 对多种溶酶体贮积症突变体进行全球细胞蛋白质脂质组学分析

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作者:Kraus Felix, He Yuchen, Swarup Sharan, Overmyer Katherine A, Jiang Yizhi, Brenner Johann, Capitanio Cristina, Bieber Anna, Jen Annie, Nightingale Nicole M, Anderson Benton J, Lee Chan, Paulo Joao A, Smith Ian R, Plitzko Jürgen M, Gygi Steven P, Schulman Brenda A, Wilfling Florian, Coon Joshua J, Harper J Wade
Lysosomal storage diseases (LSDs) comprise ~50 monogenic disorders marked by the buildup of cellular material in lysosomes, yet systematic global molecular phenotyping of proteins and lipids is lacking. We present a nanoflow-based multiomic single-shot technology (nMOST) workflow that quantifies HeLa cell proteomes and lipidomes from over two dozen LSD mutants. Global cross-correlation analysis between lipids and proteins identified autophagy defects, notably the accumulation of ferritinophagy substrates and receptors, especially in NPC1(-/-) and NPC2(-/-) mutants, where lysosomes accumulate cholesterol. Autophagic and endocytic cargo delivery failures correlated with elevated lysophosphatidylcholine species and multilamellar structures visualized by cryo-electron tomography. Loss of mitochondrial cristae, MICOS complex components, and OXPHOS components rich in iron-sulfur cluster proteins in NPC2(-/-) cells was largely alleviated when iron was provided through the transferrin system. This study reveals how lysosomal dysfunction affects mitochondrial homeostasis and underscores nMOST as a valuable discovery tool for identifying molecular phenotypes across LSDs.

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