Article (Scientific journals)
Adaptive Pixel Mass Recalibration for Mass Spectrometry Imaging Based on Locally Endogenous Biological Signals.
La Rocca, Raphaël; Kune, Christopher; Tiquet, Mathieu et al.
2021In Analytical Chemistry
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Keywords :
Mass spectrometry imaging; Recalibration strategy; Annotation analysis
Abstract :
[en] Mass spectrometry imaging (MSI) is a powerful and convenient method for revealing the spatial chemical composition of different biological samples. Molecular annotation of the detected signals is only possible if a high mass accuracy is maintained over the entire image and the m/z range. However, the change in the number of ions from pixel-to-pixel of the biological samples could lead to small fluctuations in the detected m/z-values, called mass shift. The use of internal calibration is known to offer the best solution to avoid, or at least to reduce, mass shifts. Their “a priori” selection for a global MSI acquisition is prone to false positive detection and therefore to poor recalibration. To fill this gap, this work describes an algorithm that recalibrates each spectrum individually by estimating its mass shift with the help of a list of pixel-specific internal calibrating ions, automatically generated in a data-adaptive manner (https://github.com/LaRoccaRaphael/MSI_recalibration). Through a practical example, we applied the methodology to a zebrafish whole-body section acquired at a high mass resolution to demonstrate the impact of mass shift on data analysis and the capability of our algorithm to recalibrate MSI data. In addition, we illustrate the broad applicability of the method by recalibrating 31 different public MSI data sets from METASPACE from various samples and types of MSI and show that our recalibration significantly increases the numbers of METASPACE annotations (gaining from 20 up to 400 additional annotations), particularly the high-confidence annotations with a low false discovery rate.
Disciplines :
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Author, co-author :
La Rocca, Raphaël  ;  Université de Liège - ULiège > Département de chimie (sciences) > Laboratoire de spectrométrie de masse (L.S.M.)
Kune, Christopher  ;  Université de Liège - ULiège > Département de chimie (sciences) > Laboratoire de spectrométrie de masse (L.S.M.)
Tiquet, Mathieu ;  Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique inorganique
Stuart, Lachlan
Eppe, Gauthier  ;  Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique inorganique
Alexandrov, Theodore
De Pauw, Edwin  ;  Université de Liège - ULiège > Département de chimie (sciences) > Chimie analytique inorganique
Quinton, Loïc  ;  Université de Liège - ULiège > Département de chimie (sciences) > Chimie biologique
Language :
English
Title :
Adaptive Pixel Mass Recalibration for Mass Spectrometry Imaging Based on Locally Endogenous Biological Signals.
Publication date :
2021
Journal title :
Analytical Chemistry
ISSN :
0003-2700
eISSN :
1520-6882
Publisher :
American Chemical Society, Washington, United States - District of Columbia
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 22 February 2021

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