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Published on: March 29, 2015
Separation and Quantification of Cyclic di-AMP, -GMP, and Cyclic GAMP in Bacteria Using LC-MS/MS
Silvio Uhlig1, Kristina Vevik1,2, Joke Van De Vyver1,3
1Nordic Institute of Dental Materials (NIOM), Oslo, Norway.
This study optimized a method to detect bacterial cyclic dinucleotides, finding a new structural isomer of cyclic di-AMP. This improves understanding of these key bacterial second messenger molecules.
Area of Science:
- Bacteriology
- Analytical Chemistry
- Molecular Biology
Background:
- Cyclic dinucleotides are vital bacterial second messengers regulating cellular processes.
- Accurate identification is crucial as structural isomers can be misidentified.
- Existing methods may struggle to differentiate between various cyclic dinucleotide isomers.
Purpose of the Study:
- To optimize a selective method for UHPLC-separation and MS/MS detection of cyclic dinucleotides in bacteria.
- To differentiate between 2',2'-, 2',3'-, and 3',3'-linked isomers of cyclic di-AMP, cyclic di-GMP, and cyclic GAMP.
- To identify and quantify unknown cyclic dinucleotide variants in bacterial species.
Main Methods:
- Utilized UHPLC with an octadecylsilane-amide column for isomer separation.
- Employed tandem mass spectrometry (MS/MS) with targeted ion monitoring for quantification and verification.
- Applied isotope dilution and matrix-matched calibration for accurate quantification of cyclic di-AMP and other variants.
Main Results:
- Successfully separated and detected nine cyclic dinucleotide variants, including structural isomers.
- Identified an unknown putative structural isomer of cyclic di-AMP in several bacterial species.
- Achieved a combined measurement uncertainty of 10%-41% for quantification in bacterial extracts.
Conclusions:
- The developed method enables selective detection and quantification of bacterial cyclic dinucleotides and their isomers.
- The discovery of a novel cyclic di-AMP isomer highlights the complexity of bacterial signaling pathways.
- Normalization using total protein measurements provides a robust approach for comparing nucleotide concentrations across samples.
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