Identification of ultramodified proteins using top-down tandem mass spectra

Post-translational modifications (PTMs) play an important role in various biological processes through changing protein structure and function. Some ultramodified proteins (like histones) have multiple PTMs forming PTM patterns that define the functionality of a protein. While bottom-up mass spectrometry (MS) has been successful in identifying individual PTMs within short peptides, it is unable to identify PTM patterns spreading along entire proteins in a coordinated fashion. In contrast, top-down MS analyzes intact proteins and reveals PTM patterns along the entire proteins. However, while recent advances in instrumentation have made top-down MS accessible to many laboratories, most computational tools for top-down MS focus on proteins with few PTMs and are unable to identify complex PTM patterns. We propose a new algorithm, MS-Align-E, that identifies both expected and unexpected PTMs in ultramodified proteins. We demonstrate that MS-Align-E identifies many proteoforms of histone H4 and benchmark it against the currently accepted software tools

Current challenges in software solutions for mass spectrometry-based quantitative proteomics

This work was in part supported by the PRIME-XS project, grant agreement number 262067, funded by the European Union seventh Framework Programme; The Netherlands Proteomics Centre, embedded in The Netherlands Genomics Initiative; The Netherlands Bioinformatics Centre; and the Centre for Biomedical Genetics (to S.C., B.B. and A.J.R.H); by NIH grants NCRR RR001614 and RR019934 (to the UCSF Mass Spectrometry Facility, director: A.L. Burlingame, P.B.); and by grants from the MRC, CR-UK, BBSRC and Barts and the London Charity (to P.C.

Molecular architecture of human polycomb repressive complex 2.

Polycomb Repressive Complex 2 (PRC2) is essential for gene silencing, establishing transcriptional repression of specific genes by tri-methylating Lysine 27 of histone H3, a process mediated by cofactors such as AEBP2. In spite of its biological importance, little is known about PRC2 architecture and subunit organization. Here, we present the first three-dimensional electron microscopy structure of the human PRC2 complex bound to its cofactor AEBP2. Using a novel internal protein tagging-method, in combination with isotopic chemical cross-linking and mass spectrometry, we have localized all the PRC2 subunits and their functional domains and generated a detailed map of interactions. The position and stabilization effect of AEBP2 suggests an allosteric role of this cofactor in regulating gene silencing. Regions in PRC2 that interact with modified histone tails are localized near the methyltransferase site, suggesting a molecular mechanism for the chromatin-based regulation of PRC2 activity.DOI:http://dx.doi.org/10.7554/eLife.00005.001

Cryo-EM structure of the potassium-chloride cotransporter KCC4 in lipid nanodiscs.

Cation-chloride-cotransporters (CCCs) catalyze transport of Cl- with K+ and/or Na+across cellular membranes. CCCs play roles in cellular volume regulation, neural development and function, audition, regulation of blood pressure, and renal function. CCCs are targets of clinically important drugs including loop diuretics and their disruption has been implicated in pathophysiology including epilepsy, hearing loss, and the genetic disorders Andermann, Gitelman, and Bartter syndromes. Here we present the structure of a CCC, the Mus musculus K+-Cl- cotransporter (KCC) KCC4, in lipid nanodiscs determined by cryo-EM. The structure, captured in an inside-open conformation, reveals the architecture of KCCs including an extracellular domain poised to regulate transport activity through an outer gate. We identify binding sites for substrate K+ and Cl- ions, demonstrate the importance of key coordinating residues for transporter activity, and provide a structural explanation for varied substrate specificity and ion transport ratio among CCCs. These results provide mechanistic insight into the function and regulation of a physiologically important transporter family

ISPTM: an Iterative Search Algorithm for Systematic Identification of Post-translational Modifications from Complex Proteome Mixtures

Identifying protein post-translational modifications (PTMs) from tandem mass spectrometry data of complex proteome mixtures is a highly challenging task. Here we present a new strategy, named iterative search for identifying PTMs (ISPTM), for tackling this challenge. The ISPTM approach consists of a basic search with no variable modification, followed by iterative searches of many PTMs using a small number of them (usually two) in each search. The performance of the ISPTM approach was evaluated on mixtures of 70 synthetic peptides with known modifications, on an 18-protein standard mixture with unknown modifications and on real, complex biological samples of mouse nuclear matrix proteins with unknown modifications. ISPTM revealed that many chemical PTMs were introduced by urea and iodoacetamide during sample preparation and many biological PTMs, including dimethylation of arginine and lysine, were significantly activated by Adriamycin treatment in NM associated proteins. ISPTM increased the MS/MS spectral identification rate substantially, displayed significantly better sensitivity for systematic PTM identification than the conventional all-in-one search approach and offered PTM identification results that were complementary to InsPecT and MODa, both of which are established PTM identification algorithms. In summary, ISPTM is a new and powerful tool for unbiased identification of many different PTMs with high confidence from complex proteome mixtures

To salt or not to salt : three MALDI-TOF IMS protocols where (de)salting proved essential

Présentement, la désorption ionisation laser assistée par la matrice (MALDI) est la méthode d’ionisation préférentielle pour étudier les lipides par l’imagerie par spectrométrie de masse (IMS). Bien qu’il existe les matrices spécifiques aux lipides, tel que la 1,5-DAN pour les phospholipides et la 2,5-DHB pour les triacylglycérols, il est toujours nécessaire d’augmenter la sensibilité de cette technique pour les échantillons atypiques ou certaines classes de lipides. Dans la première étude, nous avons amélioré la sensitivité pour les phospholipides sur les tubes de Malpighi de mouches prélevés par microdissection dans un tampon physiologique à base de sodium et potassium. Un protocole de lavage à deux étapes a était trouvé favorable : un premier rinçage dans le glycérol suivi d’un second rinçage dans l’acétate d’ammonium. Ce protocole permet de réduire au maximum la présence de sels sans délocalisation notoire des phospholipides. La détection et l’imagerie des phospholipides en ionisation négative et positive ont suggéré une distribution uniforme sur toute la longueur des tubes. Ces résultats ont été comparés à ceux obtenus sur des sections tissulaires minces de mouche entière acquis avec les deux polarités. Néanmoins, la structure tridimensionnelle complexe des tubes rénaux suggère que la microdissection est l’approche la plus favorable pour en étudier leur lipidome. Dans la deuxième étude, nous avons déterminé que l’addition de formate d’ammonium (AF) peut améliorer la détection des gangliosides par IMS dans le cerveau. Curieusement, il est nécessaire de rincer l’échantillon dans une solution d’AF avant l’addition de ce même sel suivit d’une conservation de l’échantillon dans un congélateur pendant 24 heures après la déposition de la matrice afin d’obtenir la meilleure augmentation de sensibilité. En moyenne, cette approche a permis d’augmenter l’intensité d’un facteur dix avec trois fois plus d’espèces de gangliosides détectées. De plus, malgré l’étape de lavage, nous n’avons pas observé la délocalisation des gangliosides puisqu’il est toujours possible d’obtenir les résultats d’IMS de qualité avec une résolution spatiale de 20 µm. Finalement, nous avons établi que le nitrate d’argent permet l’analyse des oléfines par IMS, en particulier du cholestérol. En optimisant le protocole de déposition par nébulisation, il est possible de générer une couche mince et homogène de nitrate d’argent ce qui rend la possibilité d’effectuer l’IMS à haute résolution spatiale, jusqu’à 10 µm, sans perte de qualité comparativement aux autres approches publiées. L’ensemble de ce travail démontre l’effet du sel sur la sélectivité et la sensibilité pour cibler les familles de lipides désirées, ce qui nécessite les études ultérieures sur le rôle de ces sels lors du processus de la désorption-ionisation.Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is currently the ionization method of choice for elucidating the spatial distribution of lipids on thin tissue sections. Despite the discovery of lipid friendly matrices such as 1,5-DAN for phospholipids and 2,5-DHB for triacylglycerols, there is a continued need to improve sensitivity. In the first study, we improved the overall sensitivity for phospholipids of entire fly Malpighian tubules microdissected in PBS with a two-step wash in glycerol followed by ammonium acetate that removed the bulk of the salt with minimal species delocalization and tubule displacement. We were able to detect phospholipids in both positive and negative ion modes and revealed an even distribution of most phospholipids along the length of this organ. We compared the method to the results from whole body fly sections acquired in dual-polarity mode at the same spatial resolution and found it to be more suitable for studying the tubules because of the complex three-dimensional structure of this organ within the fly. In the second study, we observed a marked improvement in ganglioside signals on mouse brain tissue sections with ammonium salt addition. Specifically, when the sample was first desalted in a low concentration ammonium formate solution, spray-coated with the same salt, coated with matrix and finally left in the freezer overnight before data acquisition, we observed an average overall improvement in ganglioside signal intensity by ten-fold and the number of species detected by three-fold. This method also did not affect the spatial distribution of the gangliosides, as high spatial resolution IMS results acquired at 20 µm showed no species delocalization. Finally, we sought to determine if salts could be employed directly as matrices. In this work, we tested silver-based metal salts and discovered that spray depositing silver nitrate alone is a viable method for the IMS detection of olefins, particularly cholesterol. With the optimized dry spray parameter, the overall deposition is homogeneous and composed of microscopic salt crystals that allow for high spatial resolution IMS down to 10 µm while maintaining acceptable overall signal quality comparable to that of previously published protocols. Overall, this thesis demonstrates we can manipulate the local salt distribution to influence the sensitivity and selectivity to target specific lipid subfamilies, opening the door for future research to understanding the role salts play during the laser desorption/ionization process

Anwendung Massenspektrometrie basierter Technologie zur Entdeckung räumlicher Peptidsignaturen in der Krebsforschung

Cancer is one of the leading causes of death worldwide, within the molecular and structure complexity of tumors are causal factors for disease progression and treatment standards. With the development of molecular biological techniques, physicians could use genetic variation or protein and metabolic expression profile besides histo-morphologicial evaluation to classify more accurate risk assessment and to guide treatment decisions. The biomarker-driven personalized therapies might improve clinical care, avoid unnecessary treatments and reduce the duration and costs for hospital stay. Therefore, there is a strong demand for more reliable molecular biomarker profiles. In this dissertation, a novel technique called imaging mass spectrometry (MADLI-MSI) is used to investigate the potential of spatially resolved peptide signatures (directly from tumor tissue; in situ) for (i) discrimination of subtypes of serous ovarian cancer (HGSOC) and (ii) risk assessment of neuroblastoma. Univariate and multivariate static methods were used to determine associated peptide signatures. Using complementary methods, liquid chromatography-based mass spectrometry the corresponding proteins to the peptides were identified and verified by immunohistology. Consequently, peptide signatures were identified to predict disease recurrence in early-stage HGSOC patients and to distinguish high-risk neuroblastoma patients from other risk groups. These results suggest that the MALDI-MSI technique is a promising analytical method that facilitates diagnosis and treatment decision-making. It has also provided new biological insights into tumor heterogeneity, that could benefit the development of molecular biomarker profiles. The data of this dissertation have been really published in Journal “Cancers (MDPI)” 2020 and 2021.Onkologische Erkrankungen (Krebs) sind weltweit eine der häufigsten Todesursachen. Die molekulare und strukturelle Komplexität von Tumoren sind ursächlich für die Krankheitsprogression und Therapieanspruch. Mit der Entwicklung von neuen molekularbiologischen Verfahren könnten Ärzte neben der histo-morphologischen Bewertung auch genetische Variationen oder Protein- und Metabolit-Expressionsprofile nutzen, um eine genauere Risikobewertung vorzunehmen und die Behandlungsentscheidung zu treffen. Die personalisierten Therapien können die klinische Versorgung verbessern durch Vermeidung unnötiger Behandlungen und verringerte Dauer und Kosten des Krankenhausaufenthalts. Daher besteht ein starker Bedarf an zuverlässigeren molekularen Biomarker Profilen. In dieser Dissertation wird ein neuartiges Verfahren, die sogenannten bildgebenden Massenspektrometrie (MADLI-MSI) eingesetzte um das Potential von räumlich aufgelösten Peptide-Signaturen (direkt aus dem Tumorgewebe; in situ) für (i) die Diskriminierung von Subtypen des serösen Ovarialkarzinom (HGSOC) zu untersuchen und (ii) die Risikoabschätzung des Neuroblastomes. Dabei wurden univariate und multivariate statischer Verfahren eingesetzt, um assoziierten Peptide- Signaturen zu bestimmen. Mittels komplementärer Verfahren, Flüssigkeitschromatographie basierte Massenspektrometrie wurden die korrespondierenden Proteine zu den Peptiden identifiziert und Immunhistologisch verifiziert. Folglich wurden Peptidsignaturen zur Vorhersage des Wiederauftretens der Krankheit bei HGSOC-Patienten im Frühstadium und zur Unterscheidung von Hochrisiko-Neuroblastom Patienten von anderen Risikogruppen identifiziert. Diese Ergebnisse deuten darauf hin, dass die MALDI-MSI-Technik eine vielversprechende Analysemethode ist, die die Diagnose und die Entscheidung über die Behandlung erleichtert. Außerdem hat sie neue biologische Erkenntnisse über die Heterogenität des Tumors geliefert, die der Entwicklung von molekularen Biomarker-Profilen zu Gute kommen könnten. Die Daten dieser Dissertation wurden in der Zeitschrift „Cancers (MDPI)" 2020 und 2021 veröffentlicht

Structural elucidation of glycerophospholipids using metastable atom-activated dissociation mass spectrometry (MAD-MS)

Recent developments in analytical instrumentation have allowed scientists to investigate systems that were unattainable in the past. In the biomedical community this increase in investigative power has allowed the exploration of biological components like proteins, lipids, and DNA and their role in the many different cycles necessary for human life. By understanding the nuances of these processes, medical professionals can more easily recognize the products of mutations or malfunctions that can lead to more accurate prognosis and diagnosis of disease. Typically, lipids are analyzed through hyphenated chromatography-mass spectrometry instruments and especially using collision-induced dissociation (CID). Low-energy CID typically produces both headgroup and complete fatty acid chain loss, whereas high energy CID causes extensive fatty acid chain fragmentation. High energy CID is less widespread, so researchers continually investigate alternate techniques like alkali metallation and multi-stage mass spectrometry to probe the structure of diverse classes of lipids.;Through this work we seek to contribute to this advancement of the biomedical field through the development of a new mass spectrometric fragmentation technique known as metastable atom activated dissociation (MAD). The application of this technique to biological molecules has been demonstrated in the past through peptides, but this is the first application to lipid ions. MAD functions by exposing isolated and stored lipid ions with a beam of high-energy helium metastable atoms. Penning ionization of the lipid ions causes fragmentation throughout the lipid molecules and provides many radical-induced and high-energy products that are not typically observed through collisional activation. MAD is therefore useful in that it can generate high energy fragmentation products in a low-energy environment, like an ion trap, causing unique and extensive fragmentation of lipid molecules without the need for alternate sample preparation steps or multiple stages of mass spectrometry. These abilities allow MAD to contribute unique information about lipid species using a technique that is easy to perform and built using mass spectrometry hardware common to many laboratories. The combination of MAD with other traditional or experimental fragmentation techniques may allow for more informative analysis and a more complete understanding of lipid functionality.;This dissertation also describes the application of a new ambient ionization technique known as laser ablation electrospray ionization (LAESI) to drug identification in a variety of forensically relevant matrices. Currently, the most popular technique for confirmatory analysis in crime laboratories is gas chromatography mass spectrometry (GC/MS). However, the slow analysis times and extensive sample preparation steps have caused significant backlogs in forensic labs. Through this work it was determined that LAESI-MS/MS could successfully detect a wide range of drugs of abuse in various media including solutions, hair, and plant matter. LAESI-MS/MS was able to identify the presence of each drug in the test set at both 1 mg/mL and 5 mg/mL except phenobarbital, which was only identified at 1 mg/mL. LAESI-MS/MS was also able to identify these drugs in solutions in which a presumptive color test had been performed. In hair and plant samples LAESI-MS/MS was able to identify drugs at biologically relevant levels. Data from these analysis could also be used to generate 2-D ion maps showing the distribution of the drug across the samples. The rapid analysis time of ~5 s per sample and minimal sample preparation make LAESI-MS/MS a potential candidate for reducing backlogs in crime labs

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

La spectrométrie de masse mesure la masse des ions selon leur rapport masse sur charge. Cette technique est employée dans plusieurs domaines et peut analyser des mélanges complexes. L’imagerie par spectrométrie de masse (Imaging Mass Spectrometry en anglais, IMS), une branche de la spectrométrie de masse, permet l’analyse des ions sur une surface, tout en conservant l’organisation spatiale des ions détectés. Jusqu’à présent, les échantillons les plus étudiés en IMS sont des sections tissulaires végétales ou animales. Parmi les molécules couramment analysées par l’IMS, les lipides ont suscité beaucoup d'intérêt. Les lipides sont impliqués dans les maladies et le fonctionnement normal des cellules; ils forment la membrane cellulaire et ont plusieurs rôles, comme celui de réguler des événements cellulaires. Considérant l’implication des lipides dans la biologie et la capacité du MALDI IMS à les analyser, nous avons développé des stratégies analytiques pour la manipulation des échantillons et l’analyse de larges ensembles de données lipidiques. La dégradation des lipides est très importante dans l’industrie alimentaire. De la même façon, les lipides des sections tissulaires risquent de se dégrader. Leurs produits de dégradation peuvent donc introduire des artefacts dans l’analyse IMS ainsi que la perte d’espèces lipidiques pouvant nuire à la précision des mesures d’abondance. Puisque les lipides oxydés sont aussi des médiateurs importants dans le développement de plusieurs maladies, leur réelle préservation devient donc critique. Dans les études multi-institutionnelles où les échantillons sont souvent transportés d’un emplacement à l’autre, des protocoles adaptés et validés, et des mesures de dégradation sont nécessaires. Nos principaux résultats sont les suivants : un accroissement en fonction du temps des phospholipides oxydés et des lysophospholipides dans des conditions ambiantes, une diminution de la présence des lipides ayant des acides gras insaturés et un effet inhibitoire sur ses phénomènes de la conservation des sections au froid sous N2. A température et atmosphère ambiantes, les phospholipides sont oxydés sur une échelle de temps typique d’une préparation IMS normale (~30 minutes). Les phospholipides sont aussi décomposés en lysophospholipides sur une échelle de temps de plusieurs jours. La validation d’une méthode de manipulation d’échantillon est d’autant plus importante lorsqu’il s’agit d’analyser un plus grand nombre d’échantillons. L’athérosclérose est une maladie cardiovasculaire induite par l’accumulation de matériel cellulaire sur la paroi artérielle. Puisque l’athérosclérose est un phénomène en trois dimension (3D), l'IMS 3D en série devient donc utile, d'une part, car elle a la capacité à localiser les molécules sur la longueur totale d’une plaque athéromateuse et, d'autre part, car elle peut identifier des mécanismes moléculaires du développement ou de la rupture des plaques. l'IMS 3D en série fait face à certains défis spécifiques, dont beaucoup se rapportent simplement à la reconstruction en 3D et à l’interprétation de la reconstruction moléculaire en temps réel. En tenant compte de ces objectifs et en utilisant l’IMS des lipides pour l’étude des plaques d’athérosclérose d’une carotide humaine et d’un modèle murin d’athérosclérose, nous avons élaboré des méthodes «open-source» pour la reconstruction des données de l’IMS en 3D. Notre méthodologie fournit un moyen d’obtenir des visualisations de haute qualité et démontre une stratégie pour l’interprétation rapide des données de l’IMS 3D par la segmentation multivariée. L’analyse d’aortes d’un modèle murin a été le point de départ pour le développement des méthodes car ce sont des échantillons mieux contrôlés. En corrélant les données acquises en mode d’ionisation positive et négative, l’IMS en 3D a permis de démontrer une accumulation des phospholipides dans les sinus aortiques. De plus, l’IMS par AgLDI a mis en évidence une localisation différentielle des acides gras libres, du cholestérol, des esters du cholestérol et des triglycérides. La segmentation multivariée des signaux lipidiques suite à l’analyse par IMS d’une carotide humaine démontre une histologie moléculaire corrélée avec le degré de sténose de l’artère. Ces recherches aident à mieux comprendre la complexité biologique de l’athérosclérose et peuvent possiblement prédire le développement de certains cas cliniques. La métastase au foie du cancer colorectal (Colorectal cancer liver metastasis en anglais, CRCLM) est la maladie métastatique du cancer colorectal primaire, un des cancers le plus fréquent au monde. L’évaluation et le pronostic des tumeurs CRCLM sont effectués avec l’histopathologie avec une marge d’erreur. Nous avons utilisé l’IMS des lipides pour identifier les compartiments histologiques du CRCLM et extraire leurs signatures lipidiques. En exploitant ces signatures moléculaires, nous avons pu déterminer un score histopathologique quantitatif et objectif et qui corrèle avec le pronostic. De plus, par la dissection des signatures lipidiques, nous avons identifié des espèces lipidiques individuelles qui sont discriminants des différentes histologies du CRCLM et qui peuvent potentiellement être utilisées comme des biomarqueurs pour la détermination de la réponse à la thérapie. Plus spécifiquement, nous avons trouvé une série de plasmalogènes et sphingolipides qui permettent de distinguer deux différents types de nécrose (infarct-like necrosis et usual necrosis en anglais, ILN et UN, respectivement). L’ILN est associé avec la réponse aux traitements chimiothérapiques, alors que l’UN est associé au fonctionnement normal de la tumeur.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