Reference : From noise to signal: Kendrick mass filtering for high-resolution mass spectrometry i...
Scientific congresses and symposiums : Poster
Physical, chemical, mathematical & earth Sciences : Chemistry
http://hdl.handle.net/2268/234357
From noise to signal: Kendrick mass filtering for high-resolution mass spectrometry imaging analysis
English
Mc Cann, Andréa mailto [Université de Liège - ULiège > Département de chimie (sciences) > Laboratoire de spectrométrie de masse (L.S.M.) >]
Kune, Christopher mailto [Université de Liège - ULiège > Département de chimie (sciences) > Laboratoire de spectrométrie de masse (L.S.M.) >]
Arguelles Arias, Anthony mailto [Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Microbial, food and biobased technologies >]
Tiquet, Mathieu mailto [Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique inorganique >]
La Rocca, Raphaël mailto [Université de Liège - ULiège > Département de chimie (sciences) > Laboratoire de spectrométrie de masse (L.S.M.) >]
Far, Johann mailto [Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique inorganique >]
Ongena, Marc mailto [Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Microbial, food and biobased technologies >]
Eppe, Gauthier mailto [Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique inorganique >]
Quinton, Loïc mailto [Université de Liège - ULiège > Département de chimie (sciences) > Chimie biologique >]
De Pauw, Edwin mailto [Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique inorganique >]
14-Apr-2019
A0
Yes
EU-_FT-ICR_MS advanced school
From 14-04-2019 to 18-04-2019
EU_FT-ICR_MS network
[en] Introduction
Over the last years, lots of progress have been done in the development of mass spectrometry imaging, making the technique more and more accessible for various applications, such as biomarkers discovery or bioactive compounds identification. However, the progresses made in terms of spatial and instrumental resolution has for consequences the dramatic increase of dataset size, shifting the burden from data production to data analysis. We propose here to use a semi-targeted method based on Kendrick mass defect (KMD) analysis to immediately identify the chemistry-related compounds in mass spectrometry imaging applied to microbiology samples. Thanks to an in-house software, we are now able to better understand the bacteria-bacteria interactions.

Materials and methods
Bacillus velezensis GA1 and Pseudomonas sp. CMR12a were inoculated on a semi-solid agar-based medium and incubated at 30°C. Region of interest was cut directly from the petri dish and transferred to the target ITO plate, previously covered with double sided conductive carbon tape. This assembly was then put in a vacuum desiccator until complete drying (overnight), and covered with HCCA matrix. Mass spectrometry images were obtained using a FT-ICR mass spectrometer (9.4T SolariX, Bruker Daltonics, Bremen, Germany). Data analysis was performed on an in-house software.

Results & Discussion
Thanks to the KMD analysis, we were able to directly compare and identify the nature of the compounds detected in MSI such as lipids (1) or lipopeptides (2a), without the need of an extensive database search. It was also possible to identify some lipopeptides degradation occurring nearby Pseudomonas (2b). Thanks to our in-house software, the compounds with a similar chemistry can now be filtrated and the image can be reconstructed, removing thus the noise and focusing only on the signal.
EOS Program Rhizoclip F.R.S. - FNRS
http://hdl.handle.net/2268/234357
H2020 ; 731077 - EU_FT-ICR_MS - European Network of Fourier-Transform Ion-Cyclotron-Resonance Mass Spectrometry Centers

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