磷酸蛋白质组学
计算生物学
纳米技术
计算机科学
细胞生物学
生物
材料科学
磷酸化
蛋白激酶A
蛋白质磷酸化
作者
Denys Oliinyk,Tim Heymann,Lukas T. Henneberg,Anastasiya Bardziukova,Marvin Thielert,J Kjaergaard,Maximilian Zwiebel,Sabine Vasconez,Marc Oeller,Andreas Metousis,Enes Ugur,Edwin H. Rodriguez,Florian A. Rosenberger,Simon Schallenberg,Frederick Klauschen,Matthias Mann
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2025-06-01
被引量:7
标识
DOI:10.1101/2025.05.29.656770
摘要
Abstract Mass spectrometry (MS)-based phosphoproteomics has transformed our understanding of cell signaling, yet current workflows face limitations in sensitivity and spatial resolution at sub-microgram inputs. Here, we present nanoPhos, a robust method that extends phosphoproteomics to nanogram scale, making it compatible with cell-type-resolved spatial analysis. It employs loss-less solid phase extraction capture (SPEC) for sample preparation, followed by automated phosphopeptide enrichment using Fe(III)-NTA cartridges. nanoPhos identifies over 57,000 unique phosphorylation sites from 1 µg cell lysate and over 4,000 from only 10 ng, a hundred-fold improvement from recent protocols. Combined with Deep Visual Proteomics (DVP), it enables region- and cell-type resolved phosphoproteomics of mouse brain tissue with spatial fidelity and a depth of 13,000 phosphosites from only 1000 cell shapes. This establishes nanoPhos as a versatile and ultra-sensitive platform that extends DVP to post-translational modifications and opens up for cell-type-specific signaling analysis in intact tissue.
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