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解析小鼠眼部的区域多组学。

Region-resolved multi-omics of the mouse eye.

机构信息

State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai 200433, China.

State Key Laboratory of Surface Physics and Department of Physics, Human Phenome Institute, Multiscale Research Institute of Complex Systems, Academy for Engineering and Technology, Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education), Fudan University, Shanghai 200433, China.

出版信息

Cell Rep. 2023 Feb 28;42(2):112121. doi: 10.1016/j.celrep.2023.112121. Epub 2023 Feb 14.

DOI:10.1016/j.celrep.2023.112121
PMID:36790928
Abstract

The eye is a complex organ consisting of multiple compartments with unique and specialized properties, and small disturbances in one eye region can result in impaired vision and blindness. Although there have been advancements in ocular research, the hierarchical molecular network in region-wide resolution, indicating the division of labor and crosstalk among different eye regions, is not yet comprehensively illuminated. Here, we present an atlas of region-resolved proteome and lipidome of mouse eye. Multiphoton microscopy-guided laser microdissection combined with in-depth label-free proteomics identifies 13,536 proteins across various mouse eye regions. Further integrative analysis of spectral imaging, label-free proteome, and imaging mass spectrometry of the lipidome and phosphoproteome reveals distinctive molecular features, including proteins and lipids of various anatomical mouse eye regions. These deposited datasets and our open proteome server integrating all information provide a valuable resource for future functional and mechanistic studies of mouse eye and ocular disease.

摘要

眼睛是一个由多个具有独特和专门特性的隔室组成的复杂器官,一个眼部区域的微小干扰可能导致视力受损和失明。尽管眼科学研究已经取得了进展,但在区域分辨率上的层次分子网络,表明不同眼部区域之间的分工和串扰,尚未得到全面阐明。在这里,我们呈现了一个小鼠眼睛区域分辨蛋白质组和脂质组图谱。多光子显微镜引导的激光显微切割结合深度无标记蛋白质组学方法,鉴定了来自不同小鼠眼部区域的 13536 种蛋白质。对脂质组和磷酸化蛋白质组的光谱成像、无标记蛋白质组以及成像质谱的进一步综合分析揭示了独特的分子特征,包括各种解剖学小鼠眼部区域的蛋白质和脂质。这些已存储的数据集和我们整合所有信息的开放蛋白质组服务器为未来的小鼠眼和眼部疾病的功能和机制研究提供了有价值的资源。

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