MS/MS analysis and imaging of lipids across Drosophila brain using secondary ion mass spectrometry
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Lipids are abundant biomolecules performing central roles to maintain proper functioning of cells and biological bodies. Due to their highly complex composition, it is critical to obtain information of lipid structures in order to identify particular lipids which are relevant for a biological process or metabolic pathway under study. Among currently available molecular identification techniques, MS/MS in secondary ion mass spectrometry (SIMS) imaging has been of high interest in the bioanalytical community as it allows visualization of intact molecules in biological samples as well as elucidation of their chemical structures. However, there have been few applications using SIMS and MS/MS owing to instrumental challenges for this capability. We performed MS and MS/MS imaging to study the lipid structures of Drosophila brain using the J105 and 40-keV Ar4000 + gas cluster ion source, with the novelty being the use of MS/MS SIMS analysis of intact lipids in the fly brain. Glycerophospholipids were identified by MS/MS profiling. MS/MS was also used to characterize diglyceride fragment ions and to identify them as triacylglyceride fragments. Moreover, MS/MS imaging offers a unique possibility for detailed elucidation of biomolecular distribution with high accuracy based on the ion images of its fragments. This is particularly useful in the presence of interferences which disturb the interpretation of biomolecular localization.
KeywordsToF-SIMS Tandem mass spectrometry MS/MS Lipids Fly brain Imaging IMS/MSI
Lipids are a very important group of biomolecules performing different functions in biological systems. They are small molecules with masses typically up to about 1000 Da. There are more than 1000 lipid species in a eukaryotic cell . Among different lipid groups, glycerophospholipids are the main component of the lipid bilayers of cell membranes besides cholesterol. Over 400 glycerophospholipids with different structures have been identified in a single cell . The highly complex lipid compositions in biological systems play important regulatory roles in different cellular processes, for instance inducing cell membrane fusion by regulating membrane curvature, mediating secondary messengers for cellular signaling, and supplying energy for the biological system. Moreover, it has been shown by numerous studies that lipid perturbation is directly involved in various neurological disorders and diseases such as ischemic stroke, Alzheimer’s disease, attention deficit hyperactivity disorder (ADHD), and schizophrenia [3, 4, 5, 6, 7, 8]. It is therefore critical in biological research to obtain information about the molecular structures of specific lipids which are relevant for a biological process or pathway under study.
Secondary ion mass spectrometry (SIMS), one of the variants of imaging mass spectrometry (IMS, also referred to as mass spectrometric imaging, MSI), is an attractive imaging technique for visualizing the distribution of chemical components in samples, from inorganic samples to organic materials including biological tissues and single cells. To perform SIMS imaging, a focused primary ion beam impacts the sample surface which results in the ejection of secondary ions from the sample. The secondary ions are then separated in the mass spectrometer and detected by their specific mass to charge ratio (m/z). SIMS offers unique advantages for chemical imaging, especially high chemical specificity, sensitivity, applicability to all kinds of materials, and nanometer to micrometer range spatial resolution depending on the primary ion source used. In biological research, SIMS has been increasingly recognized as a useful approach to study biological processes, biomarkers of diseases, and pharmacology [9, 10, 11]. The technique has been rapidly and continuously developing to meet the expectations and needs of various research areas.
Due to the high complexity of biological samples, which commonly results in overlapping peaks between the ion species of interest and interferences, a current demand in biological research is the identification of the imaged biomolecules. In imaging mass spectrometry, this can be performed concurrently or after the imaging experiment. In conventional approaches, similar samples are examined in parallel, one for imaging and the other for MS/MS experiments using a bulk solution analysis mass spectrometer such as ESI-MS or APCI-MS. Ideally, MS/MS experiments can be simultaneously performed on the same sample in the IMS instrument to increase the reliability of the results and the convenience in measurement. For this purpose, MS/MS capability has been one of the goals in instrumental development of IMS. To perform MS/MS, the signals of MS precursors must be sufficiently high to obtain MS/MS spectra. This is especially true for high mass species such as the molecular ions of lipids.
MS/MS has been done in imaging mass spectrometry, especially with MALDI ion sources [12, 13]. However, MS/MS is relatively new in SIMS imaging  and there are very few real biological applications to date using SIMS and MS/MS. Two instruments are now available for static SIMS with MS/MS analysis, including a new instrument from PHI (Physical Electronics, USA) and the J105 3D Chemical Imager (Ionoptika, UK) , where MS/MS has so far been demonstrated on zebra finch brain and zebrafish whole body , metabolites , and secreted signaling molecules on bacteria . A key factor in using MS/MS for SIMS imaging, especially for lipids where intact molecules are of interest, is the ability to generate sufficient numbers of molecular ions as precursors and this can be accomplished with cluster ion sources.
Among the variety of cluster ion sources, the gas cluster ion beam (GCIB) sources such as Ar n +, (CO2) n + (H2O) n +, etc. are the best choice to obtain high sensitivity for MS/MS of intact molecular ions as well as for their MS imaging. GCIB beams (40 keV) have shown improved signal levels for large molecules owing to its remarkably reduced fragmentation of the secondary ions compared to equivalent energy polyatomic ion beams (C60 +) [18, 19, 20]. The high-energy 40-keV Ar GCIB has shown an increase in signals for ions at m/z > 500 Da relative to the 40-keV C60 + gun, and a spatial resolution <3 μm was achieved. It has been used on mouse brain  and human cancer biopsy samples  and to study lipid structural changes in Drosophila brain when treated with the stimulant drug methylphenidate .
In this paper, we image and identify molecular lipids by the length and saturation level of fatty acid chains, with the ability to annotate the lipid classes based on their headgroup type. Furthermore, GCIB is used to increase the possibility of MS/MS imaging in order to elucidate the spatial distributions of the biomolecules and their MS/MS product ions. We demonstrate one of the first biological applications of ToF-SIMS MS, MS/MS profiling, and imaging, using the J105 and 40-keV Ar4000 + GCIB. Here, we perform MS and MS/MS imaging to study the lipid structures of Drosophila brain, with the novelty being the use of MS/MS SIMS analysis of intact lipids in the fly brain. We have used this to obtain a detailed analysis of the phospholipid structures observed in the fly brain with a focus on diacylglycerides and glycerophospholipids and the use of MS/MS for imaging the brain. A major advantage of this method is shown to be an ability to screen isobaric interferences.
Fly culture and sample preparation for SIMS imaging
Transgenic Drosophila flies (TH-GFP) were cultured on potato meal/agar medium. Detailed fly culturing protocols can be found in the previous literature [23, 24]. After culture, the flies were loaded onto a fly collar (4M Instrument & Tool LLC, USA), which kept all the fly heads in the same orientation. The fly collar was then embedded in 10% gelatin (Sigma-Aldrich, Stockholm, Sweden), which was subsequently solidified and frozen at −80 °C for storage overnight. The frozen gelatin block containing the fly heads was then further cooled in liquid nitrogen, detached from the fly collar, and subsequently sectioned using a cryo-microtome (Leica CM 1520, Leica Biosystems) at −20 °C to produce slices of 15-μm thickness in the dorsal direction. The brain sections were placed onto indium tin oxide-coated microscope slides, allowed to thaw in a vacuum desiccator for about 3 h, and transferred into the J105 SIMS instrument (Ionoptika Ltd., UK) for analysis.
ToF-SIMS MS and MS/MS measurements
ToF-SIMS imaging and MS/MS measurements were carried out using a J105 ToF-SIMS instrument, for which operation principles are described in more details elsewhere [15, 25]. A high-energy 40-keV Ar GCIB was used for all experiments in positive and negative modes. The Ar4000 + cluster contained 8% CO2 to improve cluster formation. A beam size of ~6 μm/pixel with a primary ion current 50 pA was used to acquire the ion images of 128 × 128 pixels. The resulting primary ion dose density was approximately 5.6 × 1013 ion/cm2. The instrument provided mass resolution (m/∆m) of ~6000 for m/z 798.52.
MS/MS experiments were performed after the MS imaging experiments but on the same sample in the same instrument. The secondary ions, after exiting from the buncher, were fragmented by colliding with inert gas (Ar) in a collision cell. Collision energy ranged between approximately 0.5 and 5 keV depending on the position of the secondary ions in the buncher when the bunching voltage was applied. As the fragmentation occurred in a field-free region, both the precursor and product ions continued to travel in the spectrometer at the same velocity and were selected by a timed ion gate after a short time-of-flight region. The ions were subsequently transmitted through the main time-of-flight analyzer where they were separated based on different m/z before arriving at the detector (ToF-ToF configuration for MS/MS). The exact collision gas pressure cannot be measured but can be indirectly monitored using a cold cathode gauge that was used for monitoring pressure in the ToF analyzer. For each MS/MS experiment, only one precursor was chosen. The mass resolution in MS/MS was typically in the range 2500–3500 for the MS precursor from m/z 500 to 800 Da.
Results and discussion
Lipids are an important group of pharmaceutical and medical targets owing to their high abundance and widespread involvement in regulating various cellular functions in a biological systems. In our study, the fruit fly Drosophila has been used and its brain lipid structures investigated. Drosophila has been used as a model system in an enormous number of studies on cellular mechanisms which underlie human development, behaviors, and diseases [26, 27, 28, 29]. The lipid structure of Drosophila brain has been imaged by ToF-SIMS showing that brain lipids are altered following the administration of the stimulant drug methylphenidate . A further important step in SIMS imaging that is essential for biological experiments is the possible identification of brain lipids as well as elucidation of their product ion distributions in the fly brain.
MS and MS/MS analysis of molecular glycerophospholipids in the fly brain
For the salt adduct of lipid [PC(34:1)+K]+ at m/z 798.52, the main product ion is the K+ resulting in a high-intensity K+ peak at m/z 39.0. Other less significant fragments such as [C3H8N]+ and the fragment at m/z 85.0 were also observed (Fig. 1E). From these fragmented peaks, the precursor m/z 798.52 is confirmed as the potassium adduct of PC(34:1).
MS and MS/MS analysis of possible diacylglycerols (DAGs) in fly brain
Peaks in the m/z 450–600 range are commonly observed in the SIMS spectra of biological samples and arbitrarily referred to as DAG peaks. As shown in Fig. 1, these potential DAG peaks are the most intense peaks in the mass spectrum of these fly brain samples. There are two challenges associated with the characterization of these species. The first is the potential range of different combinations of acyl chains that can produce isobaric m/z values in the mass spectra. For example, DAG(32:0) may contain two C16 fatty acids or one C14 and one C18 fatty acid. The second challenge lies in the ambiguity in the origin of these species. Although widely referred to as DAGs in the ToF-SIMS literature, the [M-OH]+ ion from the DAGs cannot be distinguished from the [M-RCOO]+ fragment of triacylglycerols. Reference samples of di- and tripalmitate have been analyzed using MS, and MS/MS of the m/z 551 “DAG” peak has been performed in both cases. The MS spectrum of the tripalmitate contains a small peak assigned to the [M+H]+ pseudo-molecular ion, while the base peak in the spectrum is at m/z 551 and is assigned to the [M-RCOO]+ ion. These peaks are consistent with those observed in electron impact spectra in the NIST library and have been known since the 1960s . The dipalmitate produced an intense peak corresponding to the [M-OH]+ at m/z 551, while the base peak in the spectrum was the [RCO+74]+ “monoacylglyceride” fragment at m/z 313 (Electronic Supplementary Material (ESM) Fig. S1).
The variation in the intensity of the [RCO+74]+ ion is extremely useful and suggests a possibility of distinguishing the origin of these isobaric ions in ToF-SIMS data.
For DAG(30:1) ([M-OH]+, [C33H61O4]+) at m/z 521.51, the peaks for [R n CO+128]+ ions at m/z 337.3, 339.3, 365.3, and 367.3 were detected indicating C14:1, C14:0, C16:1, and C16:0 fatty acid groups, respectively. The most intense of these four ions were those corresponding to the C14:0 and the C16:1. The associated [RCO]+ ions were also present along with [RCO+74]+ ions although they do not stand out above the hydrocarbon background making conclusive assignment to as DAG or TAG in this case.
In the case of DAG(32:1), the signal-to-noise ratio in the spectrum was not as high as in the other spectra, but there are still clear peaks assigned as [RCO+128]+ ions present at m/z 339.3, 365.3, and 367.3 along with a possible [RCO+128]+ peak at m/z 337.3. These species indicate the presence of C14:0, C16:1, C16:0, and possibly C14:1, respectively. The most abundant of these is the C16:1 species indicating that the precursor mainly contains C16:1 and C16:0. The presence of the C14:0-related ions suggests a second composition of C14:0 and C18:1 fatty acids. A peak corresponding to the [RCO+128]+ ion of the C18:1 fatty acid is present in the spectrum, but the intensity is not significantly higher than the hydrocarbon background. [RCO]+ peaks are observed accompanying the major [RCO+128]+ peaks, and no [RCO+74]+ ions are detected indicating TAG origins of these species.
SIMS MS/MS imaging of the fly brain
Most of the fragments have similar distributions to their precursors, however, with significantly lower signal intensities. The overlaid MS/MS ion images of representative fragments from each precursor are consistent with their overlaid MS ion images (Figs. 4B and 5C). The abnormally high peak at m/z 114.9 observed in the MS/MS spectrum of the PC headgroup is from an interference and will be discussed in the following section. The use of Ar4000 + GCIB in our study helped increase the signal intensities of molecular species to improve both MS/MS profiling and imaging.
Deconvoluting ion distributions in the fly brain using MS/MS imaging
The ultimate purpose of SIMS MS/MS analysis is to identify the structure of the biomolecules of interest in the analysis. However, SIMS MS/MS imaging also offers an advantage in the ability to elucidate the distribution of a specific biomolecule based on the ion images of its fragmentation products. When interferences and ions of interest are present that have m/z too close to each other to be fully resolved by only MS, their MS ion images show the combined distribution of both species. This issue can be solved by tracking the product ion images of these species.
In addition, there was an abnormally high peak at m/z 114.9 observed in the MS/MS spectrum of precursor m/z 184.1 (Fig. 6D); however, its localization is outside the brain area which is clearly different from the PC head group. This suggests that there might be a small amount of background signal from the ITO glass falling at m/z 184 that would appear as chemical noise in the ion image of this species. Alternatively, it is also possible that the ion m/z 70.1 detected outside the brain is actually a MS3 fragment of the ion at m/z 114.9 which is a MS2 fragment of an interference having m/z closed to m/z 184.1. The interference could be from the surrounding gelatin that was used to embed the fly head. Thus, the fragments of the interference are observed in the MS/MS spectra of the PC headgroup m/z 184.1 and In+. It is clear in this situation, with MS/MS analysis and imaging, that it is possible to distinguish and interpret the interference signal to obtain biologically meaningful information. This example demonstrates both the complexity associated with interpreting complex ToF-SIMS data from biological samples and the potential power of imaging MS/MS for helping decode this complexity.
We demonstrate MS and MS/MS profiling and imaging and its application on the J105 SIMS instrument using the 40-keV Ar4000 + GCIB to study the lipid structure of Drosophila brain. MS/MS profiling is used to confirm the molecular structure of biomolecules from low mass ion species to intact molecular lipids. For glycerophospholipids, the types of lipids and fatty acid components can be identified based on their headgroup fragments and fatty acid product ions and for the first time in SIMS analysis a possible means of establishing the origin of the so-called DAG peaks is presented. Furthermore, MS/MS imaging offers a unique possibility for detailed elucidation of biomolecular distribution with high accuracy. This is particularly useful in the presence of the interferences which disturb the interpretation of biomolecular localization. The MS/MS imaging approach would be also very useful in biological applications studying the relation between biomolecules and their synthetic precursors or metabolic products, for instance, the involvement of a fatty acid in the synthesis or metabolism of lipids.
The MS analysis in this paper was performed at Go:IMS Gothenburg. The authors acknowledge grants from The European Research Council (ERC), Knut and Alice Wallenberg Foundation, the Swedish Research Council (VR), and the National Institutes of Health.
Compliance with ethical standards
Compliance with ethical standards
The authors declare that they have no conflicts of interest.
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