National Center for Imaging Mass Spectrometry, Gothenburg University and Chalmers University of Technology , Sweden.
Anal Chem. 2013 Sep 17;85(18):8741-8. doi: 10.1021/ac401830m. Epub 2013 Aug 27.
Secondary ion mass spectrometry is a powerful method for imaging biological samples with high spatial resolution. Whole section time-of-flight-secondary ion mass spectrometry (TOF-SIMS) scans and multivariate data analysis have been performed on the human spinal cord in order to delineate anatomical regions of interest based on their chemical distribution pattern. TOF-SIMS analysis of thoracic spinal cord sections was performed at 5 μm resolution within 2 h. Multivariate image analysis by means of principal component analysis and maximum auto correlation factor analysis resulted in detection of more than 400 m/z peaks that were found to be significantly changed. Here, the results show characteristic biochemical distributions that are well in line with major histological regions, including gray and white matter. As an approach for iterative segmentation, we further evaluated previously outlined regions of interest as identified by multivariate image analysis. Here, further discrimination of the gray matter into ventral, lateral, and dorsal neuroanatomical regions was observed. TOF-SIMS imaging has been carried out at submicrometer resolution obtaining localization and characterization of spinal motor neurons based on their chemical fingerprint, including neurotransmitter precursors that serve as molecular indicators for motor neuron integrity. Thus, TOF-SIMS can be used as an approach for chemical histology and pathology. TOF-SIMS holds immense potential for investigating the subcellular mechanisms underlying spinal cord related diseases including chronic pain and amyotrophic lateral sclerosis.
二次离子质谱是一种具有高空间分辨率的成像生物样本的强大方法。为了根据其化学分布模式描绘感兴趣的解剖区域,已经对人体脊髓进行了全切片飞行时间二次离子质谱(TOF-SIMS)扫描和多元数据分析。在 2 小时内以 5μm 的分辨率对胸段脊髓切片进行了 TOF-SIMS 分析。通过主成分分析和最大自相关因子分析的多元图像分析,检测到超过 400 m/z 峰,这些峰被发现有明显变化。在这里,结果显示出与主要组织学区域(包括灰质和白质)非常吻合的特征生化分布。作为迭代分割的一种方法,我们进一步评估了多元图像分析所确定的先前概述的感兴趣区域。在这里,进一步观察到灰质分为腹侧、外侧和背侧神经解剖区域。已经以亚微米分辨率进行了 TOF-SIMS 成像,基于其化学指纹,包括作为运动神经元完整性的分子标志物的神经递质前体,对脊髓运动神经元进行定位和特征描述。因此,TOF-SIMS 可用于化学组织学和病理学。TOF-SIMS 具有巨大的潜力,可以用于研究与脊髓相关的疾病(包括慢性疼痛和肌萎缩侧索硬化症)的亚细胞机制。