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Presented here is a method for screening lipid structures through stable isotope labeling by using their retention time, mobility, and fragmentation.
Lipids are highly diverse, and small changes in lipid structures and composition can have profound effects on critical biological functions. Stable isotope labeling (SIL) offers several advantages for the study of lipid distribution, mobilization, and metabolism, as well as de novo lipid synthesis. The successful implementation of the SIL technique requires the removal of interferences from endogenous molecules. In the present work, we describe a high-throughput analytical protocol for the screening of SIL lipids from biological samples; examples will be shown of lipid de novo identification during mosquito ovary development. The use of complementary liquid chromatography trapped ion mobility spectrometry and mass spectrometry allows for the separation and lipids assignment from a single sample in a single scan (<1 h). The described approach takes advantage of recent developments in data-dependent acquisition and data-independent acquisition, using parallel accumulation in the mobility trap followed by sequential fragmentation and collision-induced dissociation. The measurement of SIL at the fatty acid chain level reveals changes in lipid dynamics during the ovary development of mosquitoes. The lipids de novo structures are confidently assigned based on their retention time, mobility, and fragmentation pattern.
When analyzing lipid data, stable isotope labeling (SIL) is an effective method to assess metabolic pathways in living organisms. In this method, atoms within an analyte are replaced by stable isotopes containing 13C or 2H. These isotopes are further incorporated into precursors, which are later embedded within the fatty acids, labeling the areas in which they reside. With these isotopes, one is able to identify the distribution and metabolism of lipids, as they will contrast against the unlabeled background1. Common mass spectrometry platforms are not able to distinguish the signal coming from endogenous molecules2. The success of SIL requires the use of ultrahigh-resolution analytical tools. Liquid chromatography coupled to high-resolution trapped ion mobility spectrometry-parallel accumulation sequential fragmentation-time-of-flight tandem mass spectrometry (LC-TIMS-PASEF-TOF-MS/MS) allows the separation of labeled and nonlabelled species2. The advantage of LC-TIMS-PASEF-TOF-MS/MS analysis is that the MS signal can be filtered by the retention time (RT) and mobility, thus reducing potential interferences of endogenous molecules, as well as quantification and separation of all desired species2. In TIMS, an ion is first held stationary against a gas-mobile phase and subsequently released according to its mobility. This provides high-resolution mobilograms while operating at a lower voltage than earlier IMS instrumentation3. Mobilograms are plots of mass to charge versus drift time that can be used to distinguish between compounds based off of their drift time and amount of overlap4.
By using an additional PASEF technique, sequencing speed is greatly increased without sacrificing sensitivity5. The PASEF theory involves the accumulation of ions followed by their sequential release in the order of their mobility. This is done by accumulating ions in parallel alignment to their mobility. The accumulation in this fashion prevents ion loss. Furthermore, the precursor ion selection occurs simultaneously with the accumulation and release of the ions. With this method, PASEF selects multiple precursors in series during each TIMS scan, rather than the individual precursors per scan typical of a TIMS instrument that does not use PASEF. When the precursor ions are concurrently accumulated and released in 2 ms peaks within a TIMS scan of approximately 100 ms per frame, the signal is amplified by over one order of magnitude, therefore increasing the signal-to-noise ratio3. The PASEF addition to the TIMS increases the efficiency of the MS/MS. As the TIMS-PASEF is coupled with MS/MS, a more efficient fragmentation is possible. Unlike conventional MS/MS detection, the precursor signal is compressed from the TIMS-PASEF, and the fragment ions are detected simultaneously to the TIMS elution time and ion mobility position of the precursor3.
When acquiring data from a mass spectrometer, there are options in the scan mode desired. Data dependent acquisition (DDA) selects precursor ions from the MS1 scan based on their abundances, before fragmenting them and performing the MS2 scan. This scan mode fragments as many precursors as possible. The DDA approach is targeted, and results will depend on the ion selection3. However, DDA-PASEF often has problems in the reproducibility between replicates. While DDA is a great tool in a focused analysis, complex mixtures have greater difficulty in their data acquisition6. This is because only a small amount of ions can be monitored simultaneously3. Data independent acquisition (DIA) is a method where preselected windows of m/z are fragmented independently from their intensity, and all are scanned within the range7. With this scan mode, entire ion clouds are transmitted from the IMS to the mass spectrometer3. In proteomics studies this results in greater amounts of proteins being quantified in a shorter time span compared to DDA. In addition, DIA misses fewer m/z values compared to DDA. Therefore, this alternative has shown great improvements in data reproducibility in signal to noise ratio and better quantification than DDA. In this present work, our goal is to implement DIA to the method reported by Tose et al.2. We improved the reproducibility and intensity of signals, yielding further and more conclusive information on SIL lipids mobilization, distribution and metabolism in biological samples taking advantage of DDA and DIA acquisition.
1. Sample preparation
2. Instrument setup
3. Calibration
4. Data analysis
The stable isotope labeling facilitates the visualization of triglycerides in lipid dynamics studies of female mosquito ovaries. In the 2D mobility domain, the triglyceride 48:1 is displayed in a region with a specific retention time in relation to mobility 1/K0. The intensity of the triglyceride can be visualized by a darker blue line. Other spots represent additional triglycerides found within the ovary. The retention times and mobilities vary due to the differences in masses and structures, therefore appear...
When assessing the use of this protocol, it is essential to ensure the DIA-PASEF and MS/MS parameters are applicable to the triglycerides in question. Specifically, mobility windows and window width should follow the pattern of the triglycerides. This can be determined with a previous run using the DDA method. When tracking the triglycerides in the internal standard, the windows for the DIA set up should cover all the pre-identified molecules of interest. The windows should all be of equal sizes, and the ranges fall with...
Matthew Willetts and Melvin A. Park are employees of Bruker Daltonics Inc, the manufacturer of the timsTOF commercial instrument. The authors declare no competing financial interest.
The authors like to acknowledge the contributions of Dr. Cesar Ramirez during initial method developments. This research was funded by the NIAID grants R21AI167849 to FGN, project 22-21244S from the Czech Science Foundation, Czech Republic to MN.
Name | Company | Catalog Number | Comments |
Accucore C30 colum | Thermo Fisher Scientific | 27826-252130 | |
Bruker Compass Data Analysis | Bruker Daltonics Inc | 2363525870 | Version 5.2 |
d-Glucose-13C6 | Sigma-AldrichΒ | 389374 | |
eppendorf tubes | Fisher Scientific | 14-282-300 | |
EquiSplash Lipidomix | Avanti Polar Lipids | 330731-1EA | |
glass vials | Thermo Fisher Scientific | 11-417-236 | |
heavy water (2H2O) | Sigma-AldrichΒ | 1.13366 | |
polypropylene pestles | Fisher Scientific | BAF199230001 | |
Prominence LC-20 CE ultrafast liquid chromatograph | Shimadzu | L20234651907 | |
silanized glass inserts | Thermo Fisher Scientific | 03-251-826 | |
Sucrose-13C12 | Sigma-AldrichΒ | 605417 | |
timsTOF | Bruker Daltonics Inc | 1.84443E+11 | |
Tuning Mix Calibration Standard | Agilent Technologies | 36 |
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