As demonstrated in the study on the variations in lipid composition in mutant and wild-type Drosophila brains, MALDI MSI can be a valuable label-free imaging technique for in situ analysis of molecular distribution patterns within organs of small insects. Indeed, because lipids are distributed in both the brain tissue and fat bodies of Drosophila heads, conventional lipidomics approaches based on liquid-chromatography and mass-spectrometry (LC-MS) can detect only combined signals from both regions when whole-head extraction is used. Broadly, differential lipidomics analysis of subregions within organs of such a small insect like Drosophila is a very laborious and challenging task for LC-MS approaches18. It would require dissection of those regions, which imposes great challenges. In contrast, MALDI MSI provides adequate resolution to distinguish different anatomic structures, even within the small Drosophila brain. The benefit of a minimum amount of tissue requirement compared to conventional LC-MS could also be applied to precious samples such as clinical biopsies. Furthermore, the sample slides prepared for MALDI MSI could also be examined by complementary techniques such as TOF-SIMS and immunohistochemistry, which would enable the integration of the data obtained from cross-disciplinary approaches19,20.
One of the most important steps in MALDI MSI is the sample preparation—the part of the experiment that accounts for most of the differences in the results from metabolomics studies carried out in different labs21. The main goal here is to provide a comprehensive yet practical sample preparation protocol for MALDI MSI analysis of lipids and metabolites in organisms as small as Drosophila insects in the hope of aiding researchers with the implementation of MALDI MSI in their studies from basic biology to translational science.
In addition to the precautions to minimize changes in the molecular profiles (both abundance and spatial distribution) as previously discussed11, several other practices need to be adapted when handling small tissues. First, the time between biological tissue harvesting and freezing in OCT should be minimized to reduce the likelihood of postmortem ischemia21. Second, one should ensure that a flat stage of OCT is prepared before placing the tissue into the block, which is crucial for having sections from comparable planes across different tissues during sectioning. Third, the cutting of small-scale biological tissue or precious samples needs adequate practice before the experiment. While the OCT aids in cutting even sections, complications may arise in terms of tissue curling or flaking. To combat curling, one should allow the section to rest on the stage for a few seconds before removing the roll plate. With two brushes, one can be used to hold the top of the section still, while the other can be used to unfurl the section. Care should be taken to minimize contact with the tissue by primarily working with the edges of the block sections. Fourth, although the thaw-mounting method could be used for fewer fly brains (<10 brains), it would be impossible to transfer a section containing a large number of fly brains (>30 brains) to a cold ITO slide without losing a remarkable number of brains, which would easily fall out of the block section once lifted. Therefore, for rapid analysis of a large number of fly brains, warm-slide mounting needs to be used. Notably, the temperature difference between the OCT section and the slide will cause the section to cling and adhere to the slide very quickly. Hence, one should not press the warm slide against the section and cryostat stage; instead, one must gently and quickly approach the sections to allow the section to attach to the ITO slide without touching the cryostat stage. We did not observe any noticeable trace of the sections left behind on the cryostat stage compared to the thaw-mounting method. Fifth, a uniform and fine deposition of MALDI matrix is crucial to achieve strong and accurate spatial information during acquisition. It is recommended to use a blank slide to test the matrix deposition for proper coverage before proceeding to the slide containing the sample.
With its growing popularity and advancements, MALDI MSI is expected to reach a broader base of users and become a standard tool for molecular mass measurements of analytes such as amino acids, metabolites, lipids, peptides and proteins, and other small molecules directly extracted from biological tissues10. However, it has its own limitations and challenges. When preparing fragile and small-scale samples for MALDI MSI, embedding agents such as OCT are necessary for sectioning. However, OCT contains a combination of polymers (poly(vinyl alcohol), polyethylene glycerol, and benzalkonium chloride), which creates a polymeric background signal that may interfere with the analyte signal22. Alternative embedding compounds such as gelatin and carboxymethyl cellulose (CMC) have been reported to demonstrate less ion suppression effects. Gelatin shows less intense signals that are more scattered in the low-mass range of 100-600 m/z20,23,24. CMC has also been used in MALDI MSI of Drosophila to visualize metabolites such as GABA, though it requires immersing the heads in 70% ethanol prior to embedding for optimal adhesion25.
Despite OCT's tendency for signal suppression, this protocol proceeds with its use due to the superior ability of OCT to provide reliable sectioning of a large number of samples while preserving brain morphology. Researchers have found that, while gelatin and CMC section well at high thicknesses such as 20 µm, only OCT is able to produce consecutive 12 µm sections reliably26. CMC and gelatin lack the structural integrity and tight hold of tissue that OCT provides, which sets the limit of the number of small tissues such as fly brain to be accommodated in one block26. It has been reported that MS signals from OCT-embedded fly sections are comparable to those embedded in gelatin and CMC26. Our unpublished data also indicated that warm-mounted, OCT-embedded fly brain sections generated robust lipid signals comparable to thaw-mounted gelatin-embedded tissue. Overall, due the superior ability of OCT to preserve the integrity of tissue morphology and enable precise sample sectioning compared to other embedding compounds, its usage with samples of high fragility, such as arrays of Drosophila brains, remains an option. In that scenario, only the relative quantification of comparing samples from the same experiment, but not absolute quantification, should be made. With respect to our reported study of the Drosophila model in lipid analysis, it was concluded that the benefits of OCT outweigh its limitations. In addition, trial experiments must be performed to test whether the MS signals of the targeted analytes would be masked by the OCT signals.
Furthermore, several practices need to be adapted to minimize the effects of ion suppression. First, one should process the samples of different groups at the same time to ensure the same extent of ion suppression, if there is any. Second, in the selection of the region of interest for MALDI scanning, one should avoid the OCT region and outline only the tissue region. Lastly, a region of blank OCT should be selected to be scanned as the negative control to exclude the signals from OCT during data analysis.
The field of lipidomics emerged in the early 2000s and has rapidly advanced in recent years, largely due to developments in mass spectrometry, including MALDI MSI27. These advancing techniques have aided in driving the field toward biological and biomedical applications. For example, lipidomics can be employed in neurological studies as changes in levels of brain lipid trafficking and composition can be used as biomarkers of disease. Additionally, lipidomics has led to the identification of new signaling molecules, the development of drug efficacy tests, the discovery of mechanisms underlying pathophysiological conditions, and more28. Despite the remarkable achievements made by the field in the past few years, there are still areas that demand growth. For instance, the ability for a lipid to be accurately quantified using current technology remains under debate29. In addition, the complete mapping of the cellular lipidome has much progress to make. It is expected that these areas, among others in the field, will experience significant growth in the coming years.