Development and Application of Methods for Mass Spectrometry Imaging of Lipids Across Biological Surfaces


Book Description

Time of flight secondary ion mass spectrometric (ToF-SIMS) imaging is a powerful bioanalytical tool with the ability to produce molecular images of samples with submicron spatial resolution without the use of labels. In this thesis I will present the development of ToF-SIMS imaging methodology for biological analyses as well as applications that have yielded information about the role of lipids in membrane organization. In the first chapter, I introduce the plasma membrane and describe its fundamental role in maintaining life through the dynamic remodeling of its structure. I focus on two concepts that are believed to influence the localized chemical make up and structure of the membrane, intrinsic curvature and lipid domains. ToF-SIMS imaging is briefly described and a discussion of cluster ion bombardment and sample preparation is included. The chapter concludes with a survey of several important biological studies that have come out of the SIMS community. In Chapter 2 I report a protocol for the use of SIMS imaging to comparatively quantify the relative difference in cholesterol level between the plasma membranes of two cells. This development enables direct comparison of the chemical effects of different drug treatments and incubation conditions in the plasma membrane at the single-cell level. Relative, quantitative ToF-SIMS imaging was used to compare macrophage cells treated to contain elevated levels of cholesterol with respect to control cells. In-situ fluorescence microscopy with two different membrane dyes was used to discriminate morphologically similar but differentially treated cells prior to SIMS analysis. SIMS images of fluorescently identified cells reveal that the two populations of cells have distinct outer leaflet membrane compositions with the membranes of the cholesterol-treated macrophages containing more than twice the amount of cholesterol of control macrophages. Relative quantification with SIMS to compare the chemical composition of single-cells can provide valuable information about normal biological functions, causative agents of diseases, and possible therapies for diseases. Chapter 3 investigates prospects for three-dimensional SIMS analysis of biological materials using model multilayer structures and single cells. The samples were analyzed in a ToF-SIMS spectrometer equipped with a 20 and a 40 keV buckminsterfullerene (C60+) ion source. Specifically, molecular depth profile studies involving dehydrated dipalmitoylphosphatidylcholine (DPPC) organic films indicate that cell membrane lipid materials do not experience significant chemical damage when bombarded with C60+ ion fluences greater than 1015 ions/cm2. Moreover, depth profile analyses of DPPC?sucrose frozen multilayer structures suggest that biomolecule information can be uncovered after the C60+ sputter removal of a 20 nm overlayer with no appreciable loss of underlying molecular signal. The resulting depth information was used to characterize C60+ bombardment of biological materials. This information was used to controllably remove the plasma membrane of a single macrophage cell using a molecular depth profile approach allowing the analysis of the chemistry of the cytoplasm. Two methods that were developed to increase the reproducibility of biological SIMS analysis are covered in Chapter 4. First I demonstrate the utility of the C60+ cluster ion projectile for sputter cleaning biological surfaces to reveal obscured spatio-chemical information. Following the removal of nanometers of material from the surface using sputter cleaning; a frozen-patterned cholesterol film and a freeze-dried tissue sample were analyzed using ToF-SIMS imaging. In both experiments the chemical information was maintained after the sputter dose, due to the minimal chemical damage caused by C60+ bombardment. In fact, the damage to the surface produced by freeze-drying the tissue sample was found to have a greater effect on the loss of cholesterol signal than the sputter-induced damage. In addition to maintaining the chemical information, sputtering did not alter the spatial distribution of the surface chemistry. This approach removes artifacts that are common to many biological sample preparation schemes for ToF-SIMS imaging. Removing these artifacts, which may obscure the surface chemistry of the sample, will increase the number of analyzable samples for SIMS imaging. The second method covered in Chapter 4 is freeze-etching, the practice of removing excess surface water from a sample through sublimation into the vacuum of the analysis environment. This method was used to cryogenically preserve single cells for ToF-SIMS imaging analysis. By removing the excess water, which condenses onto the sample in vacuo, a uniform surface is produced that is ideal for imaging by static SIMS. I demonstrate that the conditions employed to remove deposited water do not adversely affect cell morphology and do not redistribute molecules in the top most surface layers. In addition, I found water could be controllably re-deposited onto the sample at temperatures below -100 oC in vacuum. The re-deposited water increases the ionization of characteristic fragments of biologically interesting molecules 2-fold without loss of spatial resolution. The utilization of freeze-etch methodology will increase the reliability of cryogenic sample preparations for SIMS analysis by providing greater control of the surface environment. Using these procedures we have obtained high quality images and spectra with both atomic bombardment as well as C60+ cluster ion bombardment. Sample handling is also the topic of Chapter 5. It this chapter, I describe a device which has been designed to prepare frozen, hydrated single cell cultures with a freeze fracture methodology for ToF-SIMS analysis in an ION-TOF (GmbH) TOF-SIMS IV mass spectrometer. The device reproducibly produces frozen hydrated sample surfaces for SIMS analysis. I show that SIMS analysis with the Bi32+ produces high-resolution molecular images of single PC12 cells in an ice matrix. I also show that the combination of ionization enhancements that are provided by both the ice matrix and the cluster ion source facilitates the localization of lipid ions that have not been localized in these cells previously. Namely, two fragments of phosphatidlyethanolamine (m/z 124 and m/z 142) and a large fragment of phosphatidylcholine (m/z 224). The ability to localize and measure these ions will increase the number of question that SIMS imaging can be used to answer. In Chapter 6 ToF-SIMS imaging was used to demonstrate that lipid domain formation in mating single-cell organisms is driven by changes in membrane structure. Studies of lipid bilayers in both living and model systems have revealed that lipid composition is coupled to localized membrane structure. However, it is still not clear if the lipids that compose the membrane actively modify membrane structure or if it is structural changes that cause lipid heterogeneity. I report that time of flight secondary ion mass spectrometry images of mating Tetrahymena thermophila acquired before, during and after mating demonstrate that lipid domain formation, identified as a decrease in the lamellar lipid phosphatidylcholine, does not precede structural changes in the membrane. Rather, domains are formed in response to function during cell-to-cell conjugation. ToF-SIMS imaging has been used to collect information with wide implications in all membrane processes. The work presented here is the continuation of a project aimed at chemically characterizing biological samples with spatially resolved mass spectra, with a particular focus on single cell imaging. Much of the work I have done has centered on understanding the capability of current technology and using this understanding to solve a particular problem. This work is vital to keeping SIMS in the biological realm but the development of new technology is the ultimate future for these experiments by increasing the number of tools that the experimenter has to choose from. In Chapter 7 discuss two ongoing projects that I think will lead to the next break through bringing us closer to realizing the goal of this project: a complete chemical map of a single cell.




Development of Imaging Mass Spectrometry Analysis of Lipids in Biological and Clinically Relevant Applications


Book Description

Mass spectrometry is the measurement of the mass over charge ratio of ions. It is broadly applicable and capable of analyzing complex mixtures. Imaging mass spectrometry (IMS) is a branch of mass spectrometry that analyses ions across a surface while conserving their spatial organization on said surface. At this juncture, the most studied IMS samples are thin tissue sections from plants and animals. Among the molecules routinely imaged by IMS, lipids have generated significant interest. Lipids are important in disease and normal cell function as they form cell membranes and act as signaling molecules for cellular events among many other roles. Considering the potential of lipids in biological and clinical applications and the capability of MALDI to ionize lipids, we developed analytical strategies for the handling of samples and analysis of large lipid MALDI IMS datasets. Lipid degradation is massively important in the food industry with oxidized products producing a bad smell and taste. Similarly, lipids in thin tissue sections cut from whole tissues are subject to degradation, and their degradation products can introduce IMS artifacts and the loss of normally occurring species to degradation can skew accuracy in IMS measures of abundance. Oxidized lipids are also known to be important mediators in the progression of several diseases and their accurate preservation is critical. As IMS studies become multi-institutional and collaborations lead to sample exchange, the need for validated protocols and measures of degradation are necessary. We observed the products of lipid degradation in tissue sections from multiple mouse organs and reported on the conditions promoting and inhibiting their presence as well as the timeline of degradation. Our key findings were the increase in oxidized phospholipids and lysophospholipids from degradation at ambient conditions, the decrease in the presence of lipids containing unsaturations on their fatty acyl chains, and the inhibition of degradation by matrix coating and cold storage of sections under N2 atmosphere. At ambient atmospheric and temperature, lipids degraded into oxidized phospholipids on the time-scale of a normal IMS experiment sample preparation (within 30 min). Lipids then degraded into lysophospholipids' on a time scale on the order of several days. Validation of sample handling is especially important when a greater number of samples are to be analyzed either through a cohort of samples, or analysis of multiple sections from a single tissue as in serial 3D IMS. Atherosclerosis is disease caused by accumulation of cellular material at the arterial wall. The accumulation implanted in the cell wall grows and eventually occludes the blood vessel, or causes a stroke. Atherosclerosis is a 3D phenomenon and serial 3D IMS is useful for its ability to localize molecules throughout the length of a plaque and help to define the molecular mechanisms of plaque development and rupture. Serial 3D IMS has many challenges, many of which are simply a matter of producing 3D reconstructions and interpreting them in a timely fashion. In this aim and using analysis of lipids from atherosclerotic plaques from a human carotid and mouse aortic sinuses, we described 3D reconstruction methods using open-source software. Our methodology provides means to obtain high quality visualizations and demonstrates strategies for rapid interpretation of 3D IMS datasets through multivariate segmentation. Mouse aorta from model animals provided a springboard for developing the methods on lower risk samples with less variation with interesting molecular results. 3D MALDI IMS showed localized phospholipid accumulation in the mouse aortic sinuses with correlation between separate positive and negative ionization datasets. Silver-assisted LDI imaging presented differential localization of free fatty acids, cholesterol / cholesterol esters, and triglycerides. The human carotid's 3D segmentation shows molecular histologies (spatial groupings of imaging pixels with similar spectral fingerprints) correlating to the degree of arterial stenosis. Our results outline the potential for 3D IMS in atherosclerotic research. Molecular histologies and their 3D spatial organization, obtained from the IMS techniques used herein, may predict high-risk features, and particularly identify areas of plaque that have higher-risk of rupture. These investigations would help further unravel the biological complexities of atherosclerosis, and predict clinical outcomes. Colorectal cancer liver metastasis (CRCLM) is the metastatic disease of primary colorectal cancer, one of the most common cancers worldwide. CRC is a cancer of the endothelial lining of the colon or rectum. CRC itself is often cured with surgery, while CRCLM is more deadly and treated with chemotherapy with more limited efficacy. Prognosticating and assessment of tumors is performed using classical histopathology with a margin of error. We have used lipid IMS to identify the histological compartments and extract their signatures. Using these IMS signatures we obtained a quantitative and objective histopathological score that correlates with prognosis. Additionally, by dissecting out the lipid signatures we have identified single lipid moieties that are unique to different histologies that could potentially be used as new biomarkers for assessing response to therapy. Particularly, we found a series of plasmalogen and sphingolipid species that differentiate infarct-like and usual necrosis, typical of chemotherapeutic response and normal tumor function, respectively.




Imaging Mass Spectrometry


Book Description

This second edition details new and updated chapters on key methodologies and breakthroughs in the mass spectrometry imaging (MSI) field. Chapters guide readers through nano-Desorption Electrospray Ionisation (nDESI), Matrix Assisted Laser Desorption Ionisation-2 (MALDI-2), Laser Ablation - Inductively Coupled Plasma-Mass Spectrometry (LA-ICP-MS) ,Imaging Mass Cytometry (IMC) with a variety of diverse samples including eye tissue, crop analysis, 3D cell culture models, and counterfeit goods analysis. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Imaging Mass Spectrometry: Methods and Protocols, Second Edition aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge.




Mass Spectrometry for Lipidomics


Book Description

Mass Spectrometry for Lipidomics All-in-one guide to successful lipidomic analysis, combining the latest advances and best practices from academia, industry, and clinical research Mass Spectrometry for Lipidomics presents a systematic overview of lipidomic analysis, covering established standards of lipid analysis, available technology, and key lipid classes, as well as applications in basic research, medicine, pharma, and the food industry. Through connecting recent technological advances with key application areas, this unique guide bridges the gap between academia and industry by translating the vast body of knowledge that has been gained in the past decade into much-needed practical advice for novices as well as routine users. Edited by the president and vice-president of the International Lipidomics Society with contributions from the top experts in lipid analysis, Mass Spectrometry for Lipidomics covers a wide range of key topics, including: Aspects of sample preparation, separation methods, different mass spectrometry modes, as well as identification and quantitation, including the use of bioinformatics tools for data analysis Identification, quantitation and profiling of lipids in different types of biological samples Analytical approaches for all major classes of biological lipids, from fatty acids to phospholipids to sterols Novel applications in biological research, clinical diagnostics, as well as food and crop science For analytical chemists, biochemists, clinical chemists, and analytical laboratories and hospitals, Mass Spectrometry for Lipidomics presents a comprehensive and authoritative overview of the subject, with unmatched expertise from practicing professionals actively involved in the latest research.




Lipidomics


Book Description

Covers the area of lipidomics from fundamentals and theory to applications Presents a balanced discussion of the fundamentals, theory, experimental methods and applications of lipidomics Covers different characterizations of lipids including Glycerophospholipids; Sphingolipids; Glycerolipids and Glycolipids; and Fatty Acids and Modified Fatty Acids Includes a section on quantification of Lipids in Lipidomics such as sample preparation; factors affecting accurate quantification; and data processing and interpretation Details applications of Lipidomics Tools including for Health and Disease; Plant Lipidomics; and Lipidomics on Cellular Membranes




Imaging Mass Spectrometry


Book Description

Addressing the widespread need for a practical guide to imaging mass spectrometry (IMS), this book presents the protocols of IMS technology. As that technology expands, research groups around the world continue its development. Pharmaceutical companies are using IMS for drug analyses to study pharmacokinetics and medical properties of drugs. Drug research and disease-related biomarker screening are experiencing greater use of this technology, with a concurrent increase in the number of researchers in academia and industry interested in wider applications of IMS. Intended for beginners or those with limited experience with IMS technology, this book provides practical details and instructions needed for immediate know-how, including the preparation of animal tissue samples, the application of a matrix, instrumental operations, and data analysis, among others. By describing the foundations of IMS, this volume contributes to the ongoing development of the field and to progress in human health.







Investigating Lipid Heterogeneity in Single Cells Using Time-of-flight Secondary Ion Mass Spectrometry


Book Description

Imaging time-of-flight secondary ion mass spectrometry (ToF-SIMS) can be utilized to map the spatial distribution of small molecules on a surface with potentially submicron resolution. Due to the inherent characteristics of this technique and its potential to provide higher spatial resolution than light microscopy based techniques without the use of chemical labels, it has been utilized to study the distribution of phospholipid species in the cell membrane. It is now known that many cell membranes contain transient compositional heterogeneities, colloquially referred to as domains, which participate in vital physiological processes such as exocytosis and signal transduction. Because of their size and lifetime, much remains unknown about the nature of these heterogeneities. ToF-SIMS imaging combined with cryogenic sample preparation techniques is a promising analytical platform poised to contribute greatly to this growing field of study. Sample preparation is crucial to obtaining quality lipid distribution maps, especially when dealing with single biological cells. To achieve this end the Winograd and Ewing groups have developed a freeze-fracture methodology adapted from cryo-SEM studies. Freeze-etching, the practice of removing excess surface water from a sample through sublimation into the vacuum of the analysis environment, has also been extensively used in conjunction with electron microscopy. This technique has been applied to ToF-SIMS imaging of cryogenically preserved single cells. By removing the excess water which condenses onto the sample in vacuo, a uniform surface is produced that is ideal for imaging by static SIMS. I demonstrate that the conditions employed to remove deposited water do not adversely affect cell morphology and do not redistribute molecules in the topmost surface layers. In addition, I found that water can be controllably re-deposited onto the sample at temperatures below -100° C in vacuum. The re-deposited water increases the ionization of characteristic fragments of biologically interesting molecules 2-fold without loss of spatial resolution. The utilization of freeze-etch methodology will increase the reliability of cryogenic sample preparations for SIMS analysis by providing greater control of the surface environment. Using these procedures, high quality spectra with both atomic bombardment as well as C60+ cluster ion bombardment, have been obtained. To date, many cell imaging studies have concentrated on phosphatidylcholine distributions, owing to its abundance and high ionization efficiency. However, cholesterol is a particularly interesting molecule due to its involvement in numerous biological processes. For many studies, the effectiveness of chemical mapping is limited by low signal intensity from various bio-molecules. Due to the high energy nature of the SIMS ionization process, many molecules are identified by detection of characteristic fragments. Commonly, fragments of a molecule are identified using standard samples, and those fragments are used to map the location of the molecule. MS/MS data obtained from a prototype C60+/ quadrupole time-of-flight mass spectrometer was used in conjunction with indium LMIG imaging to map previously unrecognized cholesterol fragments in single cells. A model system of J774 macrophages doped with cholesterol was used to show that these fragments are derived from cholesterol in cell imaging experiments. Examination of relative quantification experiments reveals that m/z 147 is the most specific diagnostic fragment and offers a 3-fold signal enhancement. These findings greatly increase the prospects for cholesterol mapping experiments in biological samples, particularly with single cell experiments. In addition, these findings demonstrate the wealth of information that is hidden in the traditional ToF-SIMS spectrum. In order for this technique to provide insight into biological processes, it is critical to characterize the figures of merit. Because a SIMS instrument counts individual events, the precision of the measurement is controlled by counting statistics. As the analysis area decreases, the number of molecules available for analysis diminishes. This becomes critical when imaging sub-cellular features; it limits the information obtainable, resulting in images with only a few counts of interest per pixel. Many features observed in low intensity images are artifacts of counting statistics, making validation of these features crucial to arriving at accurate conclusions. With ToF-SIMS imaging, the experimentally attainable spatial resolution is a function of the molecule of interest, sample matrix, concentration, primary ion, instrument transmission, and spot size of the primary ion beam. A model, based on Poisson statistics, has been developed to validate SIMS imaging data when signal is limited. This model can be used to estimate the effective spatial resolution and limits of detection prior to analysis, making it a powerful tool for tailoring future investigations. In addition, the model allows for pixel-to-pixel intensity comparisons and can be used to validate the significance of observed image features. The implications and capabilities of the model are demonstrated here by imaging the cell membrane of resting RBL-2H3 mast cells. Mass spectrometry imaging has been used to demonstrate that changes in membrane structure drive lipid domain formation in mating single-cell organisms. Chemical studies of lipid bilayers in both living and model systems have revealed that chemical composition is coupled to localized membrane structure. However, it is not clear if the lipids that compose the membrane actively modify membrane structure or if structural changes cause heterogeneity in the surface chemistry of the lipid bilayer. ToF-SIMS images of mating Tetrahymena thermophila, acquired at various stages during mating, can be used to demonstrate that lipid domain formation follows rather than precedes structural changes in the membrane. Domains are formed in response to structural changes that occur during cell-to-cell conjugation. This observation has wide implications in all membrane processes. There is considerable interest in the unique properties of cluster ion projectiles and investigations of how they may be utilized to improve biological imaging. A C60+ cluster ion projectile was employed for sputter cleaning biological surfaces to reveal spatio-chemical information obscured by contamination overlayers. This protocol is used as a supplemental sample preparation method for time of flight secondary ion mass spectrometry (ToF-SIMS) imaging of frozen and freeze dried biological materials. Following the removal of nanometers of material from the surface using sputter cleaning; a frozen-patterned cholesterol film and a freeze-dried tissue sample were analyzed using ToF-SIMS imaging. In both experiments, the chemical information was maintained after the sputter dose, due to the minimal chemical damage caused by C60+ bombardment. The damage to the surface produced by freeze-drying the tissue sample was found to have a greater effect on the loss of cholesterol signal than the sputter-induced damage. In addition to maintaining the chemical information, sputtering is not found to alter the spatial distribution of molecules on the surface. This approach removes artifacts that may obscure the surface chemistry of the sample and are common to many biological sample preparation schemes for ToF-SIMS imaging. In general, out results show that by removing these artifacts, the number of analyzable samples for SIMS imaging is greatly expanded. Although imaging with sub-cellular spatial resolution has been demonstrated, it is clear that the success of future experiments is limited by the ionization efficiency of the lipids, as well as limitations imposed by a coaxial ToF geometry. Considerable work has been done in the lab, to address these limitations. This effort has resulted in the development of a hybrid quadrupole orthogonal ToF instrument equipped with a C60+ primary ion source. The capabilities and potential of this new platform will greatly increase the contributions of SIMS to the biological sciences.




Method Development and Application of Mass Spectrometry Imaging to Study Symbiotic Relationships Between Bacteria and Host Organisms


Book Description

Metabolic profiling can help shed light on cellular mechanisms; however a major technical challenge is to study endogenous metabolomic pathways without perturbing them. Most of the techniques currently in use for metabolomics studies in biological systems rely on tissue extracts which destroy the samples and result in the loss of information about analyte distribution within the tissue. Mass spectrometry imaging (MSI) has evolved as a promising technology to map a wide range of biomolecules in an anatomical context. In this dissertation, a multi-dimensional mass spectrometry-based platform was developed and applied to study interactions between bacteria and host organisms. Specifically, this work aimed to study the symbiotic relationship between soil bacteria and legume plants for agricultural and environmental sustainability applications, as well as the symbiosis between bacteria and leaf cutter ants and humans and our gut microbiota for the discovery of potentially novel antibiotics and antifungals. High-resolution, accurate-mass (HRAM) matrix-assisted laser desorption/ ionization (MALDI)-MSI was used to compare differentially treated biological samples, and liquid chromatography (LC)- electrospray ionization (ESI)- tandem mass spectrometry (MS/MS) coupled with database searching was used as a complementary mass spectrometry technique to identify interesting metabolites chosen from the MSI experiments. This work not only improves upon MSI by exploring novel sample preparation methods, but also presents a useful platform that integrates MALDI-MSI with ESI-MS in exploring the underlying chemistry of several biological symbiotic systems.




Method Development and Application of Mass Spectrometry for Better Understanding of Disease Mechanisms and Diagnosis


Book Description

Mass spectrometry is a very powerful tool for identifying and quantifying biomolecules of interest, including metabolites, drug compounds, proteins, and post-translational modifications of (PTMs) of proteins. In mass spectrometry (MS)-based analytical techniques, liquid-chromatography coupled with tandem mass spectrometry (LC-MS/MS) is widely used for biomolecule analysis, including relative and absolute quantification of metabolites, proteins and PTMs. Data dependent acquisition (DDA) and data-independent acquisition (DIA) are two main methods for quantification of biomolecules in LC-MS/MS. By integrating isotopic and/or isobaric tags labeling, the DDA method enables precise absolute quantification and high-throughput analysis of biomolecules, facilitating biomarker discovery and elucidation of disease mechanisms. In contrast, DIA has garnered significant interest due to its exceptional reproducibility and depth in identifying and quantifying biomolecules. In this dissertation work, I apply these isotopic/isobaric tag labeling and label-free strategies to investigate potential biomarkers in the serum of Alzheimer's disease (AD) and colorectal cancer (CRC). Additionally, I explore the crosstalk between pancreatic stellate cells and pancreatic cancer cells using multi-faceted MS approaches.In addition to LC-MS/MS, mass spectrometry imaging (MSI) offers unparalleled insights into the spatial distribution of biomolecules across organs, tissues, and cell cultures, further enhancing our understanding of biological systems. We develop a tagging method to enhance the identification, quantification, and visualization of amine-containing metabolites by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry. Furthermore, I optimize a workflow for rapid sample preparation and high throughput MSI of biomolecule distribution in a widely used three-dimensional cell culture system - spheroids. In summary, the integration of various mass spectrometry techniques and method development discussed in this dissertation demonstrates that combining different mass spectrometry approaches can provide a more comprehensive molecular picture of the complex biological system, ultimately enhancing our understanding of disease mechanisms and advancing diagnosis and treatment options.