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Comprehensive LESA Mass Spectrometry Imaging of Intact Proteins by Integration of Cylindrical FAIMS.
Analytical Chemistry ( IF 6.7 ) Pub Date : 2020-01-28 , DOI: 10.1021/acs.analchem.9b05124
Rian L Griffiths 1 , James W Hughes 1, 2 , Susan E Abbatiello 3 , Michael W Belford 4 , Iain B Styles 5 , Helen J Cooper 1
Affiliation  

The benefits of high field asymmetric waveform ion mobility spectrometry (FAIMS) for mass spectrometry imaging of intact proteins in thin tissue sections have been demonstrated previously. In those works, a planar FAIMS device coupled with a Thermo Elite mass spectrometer was employed. Here, we have evaluated a newly introduced cylindrical FAIMS device (the FAIMS Pro) coupled with a Thermo Fusion Lumos mass spectrometer for liquid extraction surface analysis mass spectrometry imaging of intact proteins in thin tissue sections from rat testes, kidney, and brain. The method makes use of multiple FAIMS compensation values at each location (pixel) of the imaging array. A total of 975 nonredundant protein species were detected in the testes imaging dataset, 981 in the kidney dataset, and 249 in the brain dataset. These numbers represent a 7-fold (brain) and over 10-fold (testes, kidney) improvement on the numbers of proteins previously detected in LESA FAIMS imaging, and a 10-fold to over 20-fold improvement on the numbers detected without FAIMS on this higher performance mass spectrometer, approaching the same order of magnitude as those obtained in top-down proteomics of cell lines. Nevertheless, high throughput identification within the LESA FAIMS imaging workflow remains a challenge.

中文翻译:

通过集成圆柱FAIMS对完整蛋白进行全面的LESA质谱成像。

先前已经证明了高场非对称波形离子迁移谱法(FAIMS)对薄组织切片中完整蛋白的质谱成像的好处。在那些工作中,使用了与Thermo Elite质谱仪耦合的平面FAIMS设备。在这里,我们评估了新近推出的圆柱形FAIMS设备(FAIMS Pro)与Thermo Fusion Lumos质谱仪的结合,用于对大鼠睾丸,肾脏和大脑的薄组织切片中完整蛋白质的液体提取表面分析质谱成像。该方法在成像阵列的每个位置(像素)使用多个FAIMS补偿值。在睾丸成像数据集中共检测到975种非冗余蛋白,在肾脏数据集中检测到981种,在大脑数据集中检测到249种。这些数字代表以前在LESA FAIMS成像中检测到的蛋白质数量增加了7倍(大脑)和10倍以上(睾丸,肾脏),而没有FAIMS的检测到的蛋白质数量则增加了10倍至20倍以上。在这种高性能的质谱仪上,其数量级与细胞系自上而下的蛋白质组学所获得的数量级相同。尽管如此,LESA FAIMS成像工作流程中的高通量识别仍然是一个挑战。
更新日期:2020-01-29
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