Fourier Transform Infrared Microscopy Enables Guidance of Automated Mass Spectrometry Imaging to Predefined Tissue Morphologies.
Fourier Transform Infrared Microscopy Enables Guidance of Automated Mass Spectrometry Imaging to Predefined Tissue Morphologies.
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DOI：
10.1038/s41598-017-18477-6
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发表时间：
2018-01-10
影响因子：
4.6
通讯作者：
Hopf C
中科院分区：
文献类型：
--
作者：
Rabe JH;A Sammour D;Schulz S;Munteanu B;Ott M;Ochs K;Hohenberger P;Marx A;Platten M;Opitz CA;Ory DS;Hopf C
多模态成像结合了用于空间分辨组织分析的互补平台，有望应用于生命科学和个性化医疗。与已建立的临床体内多模态成像不同，将光谱成像的速度和易用性与质谱成像 (MSI) 提供的分子细节相结合的深度多模态分子离体组织分析的自动化工作流程是滞后的。在这里，我们提出了一种综合方法，利用非破坏性傅里叶变换红外 (FTIR) 显微镜和基质辅助激光解吸/电离 (MALDI) MSI 来分析单玻片组织样本。我们表明，FTIR 显微镜可以自动引导高分辨率 MSI 数据采集和解释，无需事先进行组织病理学组织注释，从而避免潜在的人类注释偏差，同时实现数据负载和采集时间减少 90% 以上。我们应用 FTIR 成像作为上游模式，以提高组织形态学检测的准确性，并以自动化、公正和空间感知的方式检索诊断分子特征。我们通过在小鼠脑神经胶质瘤异种移植物和人类原发性胃肠道间质瘤中展示精确的肿瘤定位，展示了多模态 FTIR 引导的 MALDI-MSI 的普遍适用性。最后，所提出的多模式组织分析方法允许从患有由尼曼-皮克C型疾病引起的脂质沉积症的小鼠的大脑中检索形态敏感的脂质特征。
Multimodal imaging combines complementary platforms for spatially resolved tissue analysis that are poised for application in life science and personalized medicine. Unlike established clinical in vivo multimodality imaging, automated workflows for in-depth multimodal molecular ex vivo tissue analysis that combine the speed and ease of spectroscopic imaging with molecular details provided by mass spectrometry imaging (MSI) are lagging behind. Here, we present an integrated approach that utilizes non-destructive Fourier transform infrared (FTIR) microscopy and matrix assisted laser desorption/ionization (MALDI) MSI for analysing single-slide tissue specimen. We show that FTIR microscopy can automatically guide high-resolution MSI data acquisition and interpretation without requiring prior histopathological tissue annotation, thus circumventing potential human-annotation-bias while achieving >90% reductions of data load and acquisition time. We apply FTIR imaging as an upstream modality to improve accuracy of tissue-morphology detection and to retrieve diagnostic molecular signatures in an automated, unbiased and spatially aware manner. We show the general applicability of multimodal FTIR-guided MALDI-MSI by demonstrating precise tumor localization in mouse brain bearing glioma xenografts and in human primary gastrointestinal stromal tumors. Finally, the presented multimodal tissue analysis method allows for morphology-sensitive lipid signature retrieval from brains of mice suffering from lipidosis caused by Niemann-Pick type C disease.
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影响因子：
4.6
作者：
Großerueschkamp F;Bracht T;Diehl HC;Kuepper C;Ahrens M;Kallenbach-Thieltges A;Mosig A;Eisenacher M;Marcus K;Behrens T;Brüning T;Theegarten D;Sitek B;Gerwert K
通讯作者：
Gerwert K
影响因子：
3.3
作者：
BARILLOT, C;LEMOINE, D;GIBAUD, B
通讯作者：
GIBAUD, B
影响因子：
1.8
作者：
Chughtai, Sanaullah;Chughtai, Kamila;Heeren, Ron M. A.
通讯作者：
Heeren, Ron M. A.
影响因子：
4.8
作者：
DICE, LR
通讯作者：
DICE, LR
影响因子：
4.6
作者：
Fülöp A;Sammour DA;Erich K;von Gerichten J;van Hoogevest P;Sandhoff R;Hopf C
通讯作者：
Hopf C