TY - JOUR
T1 - Quantitative SIMS Imaging of Agar-Based Microbial Communities
AU - Dunham, Sage J.B.
AU - Ellis, Joseph F.
AU - Baig, Nameera F.
AU - Morales-Soto, Nydia
AU - Cao, Tianyuan
AU - Shrout, Joshua D.
AU - Bohn, Paul W.
AU - Sweedler, Jonathan V.
N1 - The authors acknowledge the intellectual contributions of Dr. Troy Comi, Dr. Bin Li, Kyungwon Ko, Amit Patel, and Kisurb Choe. We also thank Robert Mowery and Stephanie Lozano for their assistance with data analysis as well as Dr. Mizuki Endo for his help with confocal fluorescence microscopy. Research funding was provided through the National Institutes of Health under Award No. R01 AI113219, and the Department of Energy through a subcontract from Oak Ridge National Laboratory (PTX-UT-Battelle) under Award No. ORNL-4000134575. S.J.B.D. and J.F.E. are partially funded through the Springborn Endowment, and S.J.B.D. receives support through the NSF Graduate Research Fellowship Program.
Research funding was provided through the National Institutes of Health under Award No. R01 AI113219, and the Department of Energy through a subcontract from Oak Ridge National Laboratory (PTX-UT-Battelle) under Award No. ORNL-4000134575. S.J.B.D. and J.F.E. are partially funded through the Springborn Endowment and S.J.B.D. receives support through the NSF Graduate Research Fellowship Program.
PY - 2018/5/1
Y1 - 2018/5/1
N2 - After several decades of widespread use for mapping elemental ions and small molecular fragments in surface science, secondary ion mass spectrometry (SIMS) has emerged as a powerful analytical tool for molecular imaging in biology. Biomolecular SIMS imaging has primarily been used as a qualitative technique; although the distribution of a single analyte can be accurately determined, it is difficult to map the absolute quantity of a compound or even to compare the relative abundance of one molecular species to that of another. We describe a method for quantitative SIMS imaging of small molecules in agar-based microbial communities. The microbes are cultivated on a thin film of agar, dried under nitrogen, and imaged directly with SIMS. By use of optical microscopy, we show that the area of the agar is reduced by 26 ± 2% (standard deviation) during dehydration, but the overall biofilm morphology and analyte distribution are largely retained. We detail a quantitative imaging methodology, in which the ion intensity of each analyte is (1) normalized to an external quadratic regression curve, (2) corrected for isomeric interference, and (3) filtered for sample-specific noise and lower and upper limits of quantitation. The end result is a two-dimensional surface density image for each analyte. The sample preparation and quantitation methods are validated by quantitatively imaging four alkyl-quinolone and alkyl-quinoline N-oxide signaling molecules (including Pseudomonas quinolone signal) in Pseudomonas aeruginosa colony biofilms. We show that the relative surface densities of the target biomolecules are substantially different from values inferred through direct intensity comparison and that the developed methodologies can be used to quantitatively compare as many ions as there are available standards.
AB - After several decades of widespread use for mapping elemental ions and small molecular fragments in surface science, secondary ion mass spectrometry (SIMS) has emerged as a powerful analytical tool for molecular imaging in biology. Biomolecular SIMS imaging has primarily been used as a qualitative technique; although the distribution of a single analyte can be accurately determined, it is difficult to map the absolute quantity of a compound or even to compare the relative abundance of one molecular species to that of another. We describe a method for quantitative SIMS imaging of small molecules in agar-based microbial communities. The microbes are cultivated on a thin film of agar, dried under nitrogen, and imaged directly with SIMS. By use of optical microscopy, we show that the area of the agar is reduced by 26 ± 2% (standard deviation) during dehydration, but the overall biofilm morphology and analyte distribution are largely retained. We detail a quantitative imaging methodology, in which the ion intensity of each analyte is (1) normalized to an external quadratic regression curve, (2) corrected for isomeric interference, and (3) filtered for sample-specific noise and lower and upper limits of quantitation. The end result is a two-dimensional surface density image for each analyte. The sample preparation and quantitation methods are validated by quantitatively imaging four alkyl-quinolone and alkyl-quinoline N-oxide signaling molecules (including Pseudomonas quinolone signal) in Pseudomonas aeruginosa colony biofilms. We show that the relative surface densities of the target biomolecules are substantially different from values inferred through direct intensity comparison and that the developed methodologies can be used to quantitatively compare as many ions as there are available standards.
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U2 - 10.1021/acs.analchem.7b05180
DO - 10.1021/acs.analchem.7b05180
M3 - Article
C2 - 29623707
AN - SCOPUS:85046439059
SN - 0003-2700
VL - 90
SP - 5654
EP - 5663
JO - Analytical Chemistry
JF - Analytical Chemistry
IS - 9
ER -