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三维完整标本中的空间蛋白质组学

Harsharan Singh Bhatia¹, Andreas-David Brunner², Furkan Öztürk³

¹Insititute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Zentrum München, 85764 Neuherberg, Germany; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, 81377 Munich, Germany.

|December 23, 2022

概括

DISCO-MS是一种全器官和生物体3D空间分子分析的新技术. 它可以对组织进行详细的蛋白质组分析, 揭示阿尔茨海默病和脑损伤等复杂疾病的洞察力.

科学领域:

生物技术
蛋白质组学
神经科学

背景情况:

对于了解健康和疾病中的细胞功能至关重要.
现有的方法缺乏对大型3D生物样本的分子分析能力.
需要分析整个器官或生物体内的分子空间分布的技术.

研究的目的:

推出DISCO-MS,这是一个全器官和生物体3D空间分子造型的新技术.
证明DISCO-MS能够从清除和未清除的组织中生成高质量的蛋白质数据.
应用DISCO-MS来研究神经科学和心血管疾病中的复杂生物学问题.

主要方法:

DISCO-MS集成了组织清除,3D成像,深度学习分析,机器人提取和超高灵敏度质谱.
DISCO机器人系统自动取样组织进行蛋白质组分析.
从DISCO-MS获得的蛋白质学数据与使用动物和人类组织的传统方法进行了比较.

主要成果:

DISCO-MS成功生成了与未清除样本可比的蛋白质组数据.
该技术用于在脑损伤模型中绘制微质激活图.
DISCO-MS在阿尔茨海默病模型中表征了粉样β斑块,并在完整的小鼠体和人类大动脉斑块中分析了免疫细胞异质性.

结论:

在3D成像后,DISCO-MS可以对整个临床前和临床样本进行无偏见的蛋白质组分析.
这项技术为复杂疾病的诊断标志物和治疗目标开辟了新的途径.
DISCO-MS有助于在空间层面更深入地了解组织异质性和疾病机制.

关键词:

没有.阿尔茨海默病伤心损伤深度学习人类的心脏质谱学蛋白质组学机器人技术空间经济学组织清除

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