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Title: Solvent effects on differentiation of mouse brain tissue using laser microdissection ‘cut and drop’ sampling with direct mass spectral analysis

Abstract

Rationale: Laser microdissection-liquid vortex capture/electrospray ionization mass spectrometry (LMD-LVC/ESI-MS) has potential for on-line classification of tissue but an investigation into what analytical conditions provide best spectral differentiation has not been conducted. The effects of solvent, ionization polarity, and spectral acquisition parameters on differentiation of mouse brain tissue regions are described.Methods: Individual 40 × 40 μm microdissections from cortex, white, grey, granular, and nucleus regions of mouse brain tissue were analyzed using different capture/ESI solvents, in positive and negative ion mode ESI, using time-of-flight (TOF)-MS and sequential window acquisitions of all theoretical spectra (SWATH)-MS (a permutation of tandem-MS), and combinations thereof. Principal component analysis-linear discriminant analysis (PCA-LDA), applied to each mass spectral dataset, was used to determine the accuracy of differentiation of mouse brain tissue regions. Results: Mass spectral differences associated with capture/ESI solvent composition manifested as altered relative distributions of ions rather than the presence or absence of unique ions. In negative ion mode ESI, 80/20 (v/v) methanol/water yielded spectra with low signal/noise ratios relative to other solvents. PCA-LDA models acquired using 90/10 (v/v) methanol/chloroform differentiated tissue regions with 100% accuracy while data collected using methanol misclassified some samples. The combination of SWATH-MS and TOF-MS data improved differentiation accuracy.Conclusions: Combinedmore » TOF-MS and SWATH-MS data differentiated white, grey, granular, and nucleus mouse tissue regions with greater accuracy than when solely using TOF-MS data. Using 90/10 (v/v) methanol/chloroform, tissue regions were perfectly differentiated. Lastly, these results will guide future studies looking to utilize the potential of LMD-LVC/ESI-MS for tissue and disease differentiation.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2];  [3]; ORCiD logo [2]; ORCiD logo [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Chemical Sciences Division, Mass Spectrometry and Laser Spectroscopy Group
  2. Maastricht Univ., Maastricht (The Netherlands). Maastricht MultiModal Molecular Imaging (M4I) inst., Division of Imaging Mass Spectrometry
  3. Sciex, Concord, ON (Canada)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1436950
Alternate Identifier(s):
OSTI ID: 1419991
Grant/Contract Number:  
AC05-00OR22725; CRADA NFE‐10‐02966; CRADA NFE-10-02966
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Rapid Communications in Mass Spectrometry
Additional Journal Information:
Journal Volume: 32; Journal Issue: 5; Journal ID: ISSN 0951-4198
Publisher:
Wiley
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; Mass spectrometry; PCA; liquid capture; laser microdissection

Citation Formats

Cahill, John F., Kertesz, Vilmos, Porta, Tiffany, LeBlanc, J. C. Yves, Heeren, Ron M. A., and Van Berkel, Gary J. Solvent effects on differentiation of mouse brain tissue using laser microdissection ‘cut and drop’ sampling with direct mass spectral analysis. United States: N. p., 2018. Web. doi:10.1002/rcm.8053.
Cahill, John F., Kertesz, Vilmos, Porta, Tiffany, LeBlanc, J. C. Yves, Heeren, Ron M. A., & Van Berkel, Gary J. Solvent effects on differentiation of mouse brain tissue using laser microdissection ‘cut and drop’ sampling with direct mass spectral analysis. United States. doi:10.1002/rcm.8053.
Cahill, John F., Kertesz, Vilmos, Porta, Tiffany, LeBlanc, J. C. Yves, Heeren, Ron M. A., and Van Berkel, Gary J. Thu . "Solvent effects on differentiation of mouse brain tissue using laser microdissection ‘cut and drop’ sampling with direct mass spectral analysis". United States. doi:10.1002/rcm.8053. https://www.osti.gov/servlets/purl/1436950.
@article{osti_1436950,
title = {Solvent effects on differentiation of mouse brain tissue using laser microdissection ‘cut and drop’ sampling with direct mass spectral analysis},
author = {Cahill, John F. and Kertesz, Vilmos and Porta, Tiffany and LeBlanc, J. C. Yves and Heeren, Ron M. A. and Van Berkel, Gary J.},
abstractNote = {Rationale: Laser microdissection-liquid vortex capture/electrospray ionization mass spectrometry (LMD-LVC/ESI-MS) has potential for on-line classification of tissue but an investigation into what analytical conditions provide best spectral differentiation has not been conducted. The effects of solvent, ionization polarity, and spectral acquisition parameters on differentiation of mouse brain tissue regions are described.Methods: Individual 40 × 40 μm microdissections from cortex, white, grey, granular, and nucleus regions of mouse brain tissue were analyzed using different capture/ESI solvents, in positive and negative ion mode ESI, using time-of-flight (TOF)-MS and sequential window acquisitions of all theoretical spectra (SWATH)-MS (a permutation of tandem-MS), and combinations thereof. Principal component analysis-linear discriminant analysis (PCA-LDA), applied to each mass spectral dataset, was used to determine the accuracy of differentiation of mouse brain tissue regions. Results: Mass spectral differences associated with capture/ESI solvent composition manifested as altered relative distributions of ions rather than the presence or absence of unique ions. In negative ion mode ESI, 80/20 (v/v) methanol/water yielded spectra with low signal/noise ratios relative to other solvents. PCA-LDA models acquired using 90/10 (v/v) methanol/chloroform differentiated tissue regions with 100% accuracy while data collected using methanol misclassified some samples. The combination of SWATH-MS and TOF-MS data improved differentiation accuracy.Conclusions: Combined TOF-MS and SWATH-MS data differentiated white, grey, granular, and nucleus mouse tissue regions with greater accuracy than when solely using TOF-MS data. Using 90/10 (v/v) methanol/chloroform, tissue regions were perfectly differentiated. Lastly, these results will guide future studies looking to utilize the potential of LMD-LVC/ESI-MS for tissue and disease differentiation.},
doi = {10.1002/rcm.8053},
journal = {Rapid Communications in Mass Spectrometry},
issn = {0951-4198},
number = 5,
volume = 32,
place = {United States},
year = {2018},
month = {2}
}

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Cited by: 2 works
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Figures / Tables:

Table 1 Table 1: PCA-LDA model accuracy determined using leave-one-out cross-validation of the training dataset (30 samples for each solvent) using the top 2 and top 3 principal components.

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