Développement de méthodes de préparations d’échantillons pour l’imagerie par spectrométrie de masse de tissus autres que mammaliens
Imaging mass spectrometry (IMS) is a technique in full expansion that has been used in a large range of studies to assess the spatial distribution of a wide range of biomolecules. Most of the applications ensuing from IMS studies correlate the molecular expression and the health status of a tissue in the medical biology field, using mammalian models such as mice or rats. Optimization of different sample preparation methods for these models has permitted high quality and reproducible information in numerous biological applications. However, it is important to be able to reproduce this level of sample preparation and the quality of resultant data on a wider range of samples. This will open the technology to several scientific fields. The research work presented in this thesis proposes sample preparation methods to image the distribution of proteins and lipids across a thin tissue section of a non-mammalian model. This model is a moth, the Spodoptera exigua, one of the best-know agricultural pest insects in it’s caterpillar form. Firstly, optimization of sample handling prior to cutting thin tissue sections will be presented. Then, optimization of a matrix deposition method using sublimation/recrystallization in order to image the proteins across the sample will be described. Also, a sublimation method for the detection and imaging of lipids is described. The imaging results showed the distribution of four different classes of phospholipids across thin sections of the caterpillar. Lastly, the quality of imaging data for proteins and phospholipids across caterpillar sections can be compared directly to the expected data quality obtained from mammalian tissue sections.
MALDi Mass spectrometry Caterpillars proteins Lipids Imaging