High-throughput analysis of tissue microarrays using automated desorption electrospray ionization mass spectrometry

被引:18
作者
Morato, Nicolas M. [1 ,2 ]
Brown, Hannah Marie [1 ,2 ,3 ]
Garcia, Diogo [4 ]
Middlebrooks, Erik H. [4 ,5 ]
Jentoft, Mark [6 ]
Chaichana, Kaisorn [4 ]
Quinones-Hinojosa, Alfredo [4 ]
Cooks, R. Graham [1 ,2 ]
机构
[1] Purdue Univ, Dept Chem, Purdue Ctr Canc Res, 560 Oval Dr, W Lafayette, IN 47907 USA
[2] Purdue Univ, Bindley Biosci Ctr, 560 Oval Dr, W Lafayette, IN 47907 USA
[3] Washington Univ, Sch Med, Dept Pathol & Immunol, St Louis, MO USA
[4] Mayo Clin, Dept Neurosurg, Jacksonville, FL USA
[5] Mayo Clin, Dept Radiol, Jacksonville, FL USA
[6] Mayo Clin, Dept Lab Med & Pathol, Jacksonville, FL USA
基金
美国国家卫生研究院;
关键词
PARAFFIN-EMBEDDED TISSUE; HUMAN BRAIN-TUMORS; BREAST-CANCER; PROTEOMIC ANALYSIS; PROSTATE-CANCER; MUTATION STATUS; HUMAN GLIOMAS; DIAGNOSIS; IDH1; EXPERIMENTATION;
D O I
10.1038/s41598-022-22924-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Tissue microarrays (TMAs) are commonly used for the rapid analysis of large numbers of tissue samples, often in morphological assessments but increasingly in spectroscopic analysis, where specific molecular markers are targeted via immunostaining. Here we report the use of an automated high-throughput system based on desorption electrospray ionization (DESI) mass spectrometry (MS) for the rapid generation and online analysis of high-density (6144 samples/array) TMAs, at rates better than 1 sample/second. Direct open-air analysis of tissue samples (hundreds of nanograms) not subjected to prior preparation, plus the ability to provide molecular characterization by tandem mass spectrometry (MS/MS), make this experiment versatile and applicable to both targeted and untargeted analysis in a label-free manner. These capabilities are demonstrated in a proof-of-concept study of frozen brain tissue biopsies where we showcase (i) a targeted MS/MS application aimed at identification of isocitrate dehydrogenase mutation in glioma samples and (ii) an untargeted MS tissue type classification using lipid profiles and correlation with tumor cell percentage estimates from histopathology. The small sample sizes and large sample numbers accessible with this methodology make for a powerful analytical system that facilitates the identification of molecular markers for later use in intraoperative applications to guide precision surgeries and ultimately improve patient outcomes.
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页数:10
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