Metabolic labeling of glycerophospholipids via clickable analogs derivatized at the lipid headgroup

Lipid Metabolism and Immune Function: Chemical Tools for Insights into T-Cell Biology

Lipids are essential biomolecules playing critical roles in cellular processes, including energy storage, membrane structure, and signaling. This review highlights the chemical tools that have been developed to study the role of lipid metabolism in immune function, focusing on T-cell biology. Fatty acids (FAs), as core lipid components, influence immune responses through structural, signaling, and metabolic roles. Recent studies reveal how specific FAs modulate T-cell activation, proliferation, and function, with implications for regulatory and effector subsets. Emerging tools, such as fluorescence-based lipids and click chemistry, enable precise tracking of lipid uptake and metabolism at the single-cell level, addressing limitations of traditional bulk methods. Advances in metabolomics and proteomics offer further insights into lipid-mediated immune regulation. Understanding these mechanisms provides opportunities to target lipid metabolism in therapeutic strategies for cancer and other immune-related diseases. The integration of lipidomic technologies into immunology uncovers novel perspectives on how lipids shape immune responses at cellular and molecular scales.

Bio-orthogonal Glycan Imaging of Cultured Cells and Whole Animal C. elegans with Expansion Microscopy

Complex carbohydrates called glycans play crucial roles in regulating cell and tissue physiology, but how they map to nanoscale anatomical features must still be resolved. Here, we present the first nanoscale map of mucin-type O-glycans throughout the entirety of the Caenorhabditis elegans model organism. We constructed a library of multifunctional linkers to probe and anchor metabolically labeled glycans in expansion microscopy (ExM). A flexible strategy was demonstrated for the chemical synthesis of linkers with a broad inventory of bio-orthogonal functional groups, fluorophores, anchorage chemistries, and linker arms. Employing C. elegans as a test bed, metabolically labeled O-glycans were resolved on the gut microvilli and other nanoscale anatomical features. Transmission electron microscopy images of C. elegans nanoanatomy validated the fidelity and isotropy of gel expansion. Whole organism maps of C. elegans O-glycosylation in the first larval stage revealed O-glycan "hotspots" in unexpected anatomical locations, including the body wall furrows. Beyond C. elegans, we validated ExM protocols for nanoscale imaging of metabolically labeled glycans on cultured mammalian cells. Together, our results suggest the broad applicability of the multifunctional reagents for imaging glycans and other metabolically labeled biomolecules at enhanced resolutions with ExM.

To image or not to image: Use of imaging mass spectrometry in biomedical lipidomics

Lipid imaging mass spectrometry (LIMS) allows for establishing the bidimensional distribution of lipid species within a tissue section. One of the main advantages is the generation of spatial information on lipid species distribution at a spatial (lateral) resolution bordering on single-cell resolution with no need to isolate cells. Thus, LIMS images demonstrate, with a level of detail never described before, that lipid profiles are highly sensitive to cell type and pathophysiological state. The wealth and relevance of the information conveyed by LIMS makes up for the lack of a separation stage before sample injection into the mass analyzer, which can somehow be circumvented by other means. Hence, the possibility of describing the lipidome at the cellular level while preserving the microenvironment offers an incomparable opportunity to investigate physiological and pathological contexts. However, to fully grasp the biological implications of the lipid profiles, it is essential to contextualize LIMS data within the broader multiscale 'omic' landscape, entailing genomics, epigenomics, and proteomics, each offering a unique window into the regulatory layers of the cell. In this line, the number of techniques that can be combined with LIMS to delve into the molecular mechanisms underlying differential lipid profiles is continuously increasing. Herein, we aim to describe the key features of LIMS analyses, from sample preparation to data interpretation, as well as the current methodologies to enrich and complete the final outcome. While the field is rapidly advancing, we consider there is solid evidence to foresee the incorporation of LIMS into clinical environments.

Lopes T, de Oliveira JM, Raimundo JRS, Furtado DZS, Fonseca FLA, Oliveira RV, Cardoso DR, Carrilho E, Assunção NA. Multiplatform Metabolomics: Enhancing the Severity Risk Prognosis of SARS-CoV-2 Infection

Concerns about the SARS-CoV-2 outbreak (COVID-19) continue to persist even years later, with the emergence of new variants and the risk of disease severity. Common clinical symptoms, like cough, fever, and respiratory symptoms, characterize the noncritical patients, classifying them from mild to moderate. In a more severe and complex scenario, the virus infection can affect vital organs, resulting, for instance, in pneumonia and impaired kidney and heart function. However, it is well-known that subclinical symptoms at a metabolic level can be observed previously but require a proper diagnosis because viral replication on the host leaves a track with a different profile depending on the severity of the illness. Metabolomic profiles of mild, moderate, and severe COVID-19 patients were obtained by multiple platforms (LC-HRMS and MALDI-MS), increasing the chance to elucidate a prognosis for severity risk. A strong link was discovered between phenylalanine metabolism and increased COVID-19 severity symptoms, a pathway linked to cardiac and neurological consequences. Glycerophospholipids and sphingolipid metabolisms were also dysregulated linearly with the increasing symptom severity, which can be related to virus proliferation, immune system avoidance, and apoptosis escaping. Our data, endorsed by other literature, strengthens the notion that these pathways might play a vital role in a patient's prognosis.

Probing Glycerolipid Metabolism using a Caged Clickable Glycerol-3-Phosphate Probe

In this study, we present the probe SATE-G3P-N3 as a novel tool for metabolic labeling of glycerolipids (GLs) to investigate lipid metabolism in yeast cells. By introducing a clickable azide handle onto the glycerol backbone, this probe enables general labeling of glycerolipids. Additionally, this probe contains a caged phosphate moiety at the glycerol sn-3 position to not only facilitate probe uptake by masking negative charge but also to bypass the phosphorylation step crucial for initiating phospholipid synthesis, thereby enhancing phospholipid labeling. The metabolic labeling activity of the probe was thoroughly assessed through cellular fluorescence microscopy, mass spectrometry (MS), and thin-layer chromatography (TLC) experiments. Fluorescence microscopy analysis demonstrated successful incorporation of the probe into yeast cells, with labeling predominantly localized at the plasma membrane. LCMS analysis confirmed metabolic labeling of various phospholipid species (PC, PS, PA, PI, and PG) and neutral lipids (MAG, DAG, and TAG), and GL labeling was corroborated by TLC. These results showcased the potential of the SATE-G3P-N3 probe in studying GL metabolism, offering a versatile and valuable approach to explore the intricate dynamics of lipids in yeast cells.

Unnatural lipids for simultaneous mRNA delivery and metabolic cell labeling

Lipids have demonstrated tremendous promise for mRNA delivery, as evidenced by the success of Covid-19 mRNA vaccines. However, existing lipids are mostly used as delivery vehicles and lack the ability to monitor and further modulate the target cells. Here, for the first time, we report a class of unnatural lipids (azido-DOTAP) that can efficiently deliver mRNAs into cells and meanwhile metabolically label cells with unique chemical tags (e.g., azido groups). The azido tags expressed on the cell membrane enable the monitoring of transfected cells, and can mediate subsequent conjugation of cargos via efficient click chemistry for further modulation of transfected cells. We further demonstrate that the dual-functional unnatural lipid is applicable to different types of cells including dendritic cells, the prominent type of antigen presenting cells, potentially opening a new avenue to developing enhanced mRNA vaccines.

Bio-orthogonal Glycan Imaging of Culture Cells and Whole Animal C. elegans with Expansion Microscopy

Complex carbohydrates called glycans play crucial roles in the regulation of cell and tissue physiology, but how glycans map to nanoscale anatomical features must still be resolved. Here, we present the first nanoscale map of mucin-type O -glycans throughout the entirety of the Caenorhabditis elegans model organism. We construct a library of multifunctional linkers to probe and anchor metabolically labelled glycans in expansion microscopy (ExM), an imaging modality that overcomes the diffraction limit of conventional optical microscopes through the physical expansion of samples embedded in a polyelectrolyte gel matrix. A flexible strategy is demonstrated for the chemical synthesis of linkers with a broad inventory of bio-orthogonal functional groups, fluorophores, anchorage chemistries, and linker arms. Employing C. elegans as a test bed, we resolve metabolically labelled O -glycans on the gut microvilli and other nanoscale anatomical features using our ExM reagents and optimized protocols. We use transmission electron microscopy images of C. elegans nano-anatomy as ground truth data to validate the fidelity and isotropy of gel expansion. We construct whole organism maps of C. elegans O -glycosylation in the first larval stage and identify O -glycan "hotspots" in unexpected anatomical locations, including the body wall furrows. Beyond C. elegans , we provide validated ExM protocols for nanoscale imaging of metabolically labelled glycans on cultured mammalian cells. Together, our results suggest the broad applicability of the multifunctional reagents for imaging glycans and other metabolically labelled biomolecules at enhanced resolutions with ExM.

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Biomarkers and targeted therapy for cancer stem cells

Cancer stem cells (CSCs) are a small subpopulation of cancer cells with capabilities of self-renewal, differentiation, and tumorigenicity, and play a critical role in driving tumor heterogeneity that evolves insensitivity to therapeutics. For these reasons, extensive efforts have been made to identify and target CSCs to potentially improve the antitumor efficacy of therapeutics. While progress has been made to uncover certain CSC-associated biomarkers, the identification of CSC-specific markers, especially the targetable ones, remains a significant challenge. Here we provide an overview of the unique signaling and metabolic pathways of CSCs, summarize existing CSC biomarkers and CSC-targeted therapies, and discuss strategies to further differentiate CSCs from non-stem cancer cells and healthy cells for the development of enhanced CSC-targeted therapies.

Cell Surface Engineering Tools for Programming Living Assemblies

Breakthroughs in precision cell surface engineering tools are supporting the rapid development of programmable living assemblies with valuable features for tackling complex biological problems. Herein, the authors overview the most recent technological advances in chemically- and biologically-driven toolboxes for engineering mammalian cell surfaces and triggering their assembly into living architectures. A particular focus is given to surface engineering technologies for enabling biomimetic cell-cell social interactions and multicellular cell-sorting events. Further advancements in cell surface modification technologies may expand the currently available bioengineering toolset and unlock a new generation of personalized cell therapeutics with clinically relevant biofunctionalities. The combination of state-of-the-art cell surface modifications with advanced biofabrication technologies is envisioned to contribute toward generating living materials with increasing tissue/organ-mimetic bioactivities and therapeutic potential.

Harnessing Clickable Acylated Glycerol Probes as Chemical Tools for Tracking Glycerolipid Metabolism

We report the use of clickable monoacylglycerol (MAG) analogs as probes for the labeling of glycerolipids during lipid metabolism. Incorporation of azide tags onto the glycerol region was pursued to develop probes that would label glycerolipids, in which the click tag would not be removed through processes including acyl chain and headgroup remodeling. Analysis of clickable MAG probes containing acyl chains of different length resulted in widely variable cell imaging and cytotoxicity profiles. Based on these results, we focused on a probe bearing a short acyl chain (C4 -MAG-N3 ) that was found to infiltrate natural lipid biosynthetic pathways to produce click-tagged versions of both neutral and phospholipid products. Alternatively, strategic blocking of the glycerol sn-3 position in probe C4 -MEG-N3 served to deactivate phospholipid tagging and focus labeling on neutral lipids. This work shows that lipid metabolic labeling profiles can be tuned based on probe structures and provides valuable tools for evaluating alterations to lipid metabolism in cells.

Activity-based directed evolution of a membrane editor in mammalian cells

Cellular membranes contain numerous lipid species, and efforts to understand the biological functions of individual lipids have been stymied by a lack of approaches for controlled modulation of membrane composition in situ. Here we present a strategy for editing phospholipids, the most abundant lipids in biological membranes. Our membrane editor is based on a bacterial phospholipase D (PLD), which exchanges phospholipid head groups through hydrolysis or transphosphatidylation of phosphatidylcholine with water or exogenous alcohols. Exploiting activity-dependent directed enzyme evolution in mammalian cells, we have developed and structurally characterized a family of 'superPLDs' with up to a 100-fold enhancement in intracellular activity. We demonstrate the utility of superPLDs for both optogenetics-enabled editing of phospholipids within specific organelle membranes in live cells and biocatalytic synthesis of natural and unnatural designer phospholipids in vitro. Beyond the superPLDs, activity-based directed enzyme evolution in mammalian cells is a generalizable approach to engineer additional chemoenzymatic biomolecule editors.

Chemical Tools for Lipid Cell Biology

Lipids are key components of all organisms. We are well educated in their use as fuel and their essential role to form membranes. We also know much about their biosynthesis and metabolism. We are also aware that most lipids have signaling character meaning that a change in their concentration or location constitutes a signal that helps a living cell to respond to changes in the environment or to fulfill its specific function ranging from secretion to cell division. What is much less understood is how lipids change location in cells over time and what other biomolecules they interact with at each stage of their lifetime. Due to the large number of often quite similar lipid species and the sometimes very short lifetime of signaling lipids, we need highly specific tools to manipulate and visualize lipids and lipid-protein interactions. If successfully applied, these tools provide fabulous opportunities for discovery.In this Account, I summarize the development of synthetic tools from our lab that were designed to address crucial properties that allow them to function as tools in live cell experiments. Techniques to change the concentration of lipids by adding a small molecule or by light are described and complemented by examples of biological findings made when applying the tools. This ranges from chemical dimerizer-based systems to synthetic "caged" lipid derivatives. Furthermore, I discuss the problem of locating a lipid in an intact cell. Synthetic molecular probes are described that help to unravel the lipid location and to determine their binding proteins. These location studies require in-cell lipid tagging by click chemistry, photo-cross-linking to prevent further movement and the "caging" groups to avoid premature metabolism. The combination of these many technical features in a single tool allows for the analysis of not only lipid fluxes through metabolism but also lipid transport from one membrane to another as well as revealing the lipid interactome in a cell-dependent manner. This latter point is crucial because with these multifunctional tools in combination with lipidomics we can now address differences in healthy versus diseased cells and ultimately find the changes that are essential for disease development and new therapeutics that prevent these changes.

Cellular Labeling of Phosphatidylserine Using Clickable Serine Probes

Phosphatidylserine (PS) is a key lipid that plays important roles in disease-related biological processes, and therefore, the means to track PS in live cells are invaluable. Herein, we describe the metabolic labeling of PS in Saccharomyces cerevisiae cells using analogues of serine, a PS precursor, derivatized with azide moieties at either the amino (N-l-SerN3) or carbonyl (C-l-SerN3) groups. The conservative click tag modification enabled these compounds to infiltrate normal lipid biosynthetic pathways, thereby producing tagged PS molecules as supported by mass spectrometry studies, thin-layer chromatography (TLC) analysis, and further derivatization with fluorescent reporters via click chemistry to enable imaging in yeast cells. This approach shows strong prospects for elucidating the complex biosynthetic and trafficking pathways involving PS.

Metabolite-Responsive Liposomes Employing Synthetic Lipid Switches Driven by Molecular Recognition Principles

The ability to exert control over lipid properties, including structure, charge, function, and self-assembly characteristics is a powerful tool that can be implemented to achieve a wide range of biomedical applications. Examples in this arena include the development of caged lipids for controlled activation of signaling properties, metabolic labeling strategies for tracking lipid biosynthesis, lipid activity probes for identifying cognate binding partners, approaches for in situ membrane assembly, and liposome triggered release strategies. In this Account, we describe recent advancements in the latter area entailing the development of stimuli-responsive liposomes through programmable changes to lipid self-assembly properties, which can be harnessed to drive the release of encapsulated contents toward applications including drug delivery. We will focus on an emerging paradigm involving liposomal platforms that are sensitized toward chemical agents ranging from metal cations to small organic molecules that exhibit dysregulation in disease states. This has been achieved by developing synthetic lipid switches that are designed to undergo programmed conformational changes upon the recognition of specific target analytes. These structural alterations are leveraged to perturb the packing of lipids within the membrane and thereby drive the release of encapsulated contents.We provide an overview of the inspiration, design, and characterization of liposomes that selectively respond to wide-ranging target analytes. This series of studies began with the development of calcium-responsive liposomes utilizing a lipid switch inspired by sensors including indo-1. Following this successful demonstration, we next showed that the selectivity of the lipid switch could be altered among different metal cations by producing a liposomal platform for which release is induced through zinc binding. Our next goal was to develop metabolite-responsive liposomes in which switching is driven by molecular recognition events involving phosphorylated small molecules. In this work, screening of lipid switches designed to interact with phosphorylated metabolites led to the identification of liposomal formulations that selectivity release contents in the presence of adenosine triphosphate (ATP). Finally, we were able to modulate the metabolite selectivity by rationally designing a modified lipid switch structure that is activated through complexation of inositol-(1,4,5)-trisphosphate (IP₃). These projects show the progression of our approaches for liposome release triggered by molecular recognition principles, building from ion-responsive lipid switches to structures that are activated by small molecules. These "smart" liposomal platforms provide an important addition to the toolbox for controlled cargo release since they respond to ions or small molecules that are commonly overproduced by diseased cells.

"Flash & Click": Multifunctionalized Lipid Derivatives as Tools To Study Viral Infections

In this perspective article, we describe the current status of lipid tools for studying host lipid-virus interactions at the cellular level. We discuss the potential lipidomic changes that viral infections impose on host cells and then outline the tools available and the resulting options to investigate the host cell lipid interactome. The future outcome will reveal new targets for treating virus infections.

Metabolic Labeling-Based Chemoproteomics Establishes Choline Metabolites as Protein Function Modulators

Choline is an essential nutrient for mammalian cells. Our understanding of the cellular functions of choline and its metabolites, independent of their roles as choline lipid metabolism intermediates, remains limited. In addition to fundamental cellular physiology, this knowledge has implications for cancer biology because elevated choline metabolite levels are a hallmark of cancer. Here, we establish a mammalian choline metabolite-interacting proteome by utilizing a photocrosslinkable choline probe. To design this probe, we performed metabolic labeling experiments with structurally diverse choline analogues that resulted in the serendipitous discovery of a choline lipid headgroup remodeling mechanism involving sequential dealkylation and methylation steps. We demonstrate that phosphocholine inhibits the binding of one of the proteins identified, the attractive anticancer target p32, to its endogenous ligands and to the promising p32-targeting anticancer agent, Lyp-1. Our results reveal that choline metabolites play vital roles in cellular physiology by serving as modulators of protein function.

Tracing Lipid Metabolism by Alkyne Lipids and Mass Spectrometry: The State of the Art

Lipid tracing studies are a key method to gain a better understanding of the complex metabolic network lipids are involved in. In recent years, alkyne lipid tracers and mass spectrometry have been developed as powerful tools for such studies. This study aims to review the present standing of the underlying technique, highlight major findings the strategy allowed for, summarize its advantages, and discuss some limitations. In addition, an outlook on future developments is given.

Metabolomic Profiling of Plasma Reveals Differential Disease Severity Markers in COVID-19 Patients

The severity, disabilities, and lethality caused by the coronavirus 2019 (COVID-19) disease have dumbfounded the entire world on an unprecedented scale. The multifactorial aspect of the infection has generated interest in understanding the clinical history of COVID-19, particularly the classification of severity and early prediction on prognosis. Metabolomics is a powerful tool for identifying metabolite signatures when profiling parasitic, metabolic, and microbial diseases. This study undertook a metabolomic approach to identify potential metabolic signatures to discriminate severe COVID-19 from non-severe COVID-19. The secondary aim was to determine whether the clinical and laboratory data from the severe and non-severe COVID-19 patients were compatible with the metabolomic findings. Metabolomic analysis of samples revealed that 43 metabolites from 9 classes indicated COVID-19 severity: 29 metabolites for non-severe and 14 metabolites for severe disease. The metabolites from porphyrin and purine pathways were significantly elevated in the severe disease group, suggesting that they could be potential prognostic biomarkers. Elevated levels of the cholesteryl ester CE (18:3) in non-severe patients matched the significantly different blood cholesterol components (total cholesterol and HDL, both p < 0.001) that were detected. Pathway analysis identified 8 metabolomic pathways associated with the 43 discriminating metabolites. Metabolomic pathway analysis revealed that COVID-19 affected glycerophospholipid and porphyrin metabolism but significantly affected the glycerophospholipid and linoleic acid metabolism pathways (p = 0.025 and p = 0.035, respectively). Our results indicate that these metabolomics-based markers could have prognostic and diagnostic potential when managing and understanding the evolution of COVID-19.

Development of oxaalkyne and alkyne fatty acids as novel tracers to study fatty acid beta-oxidation pathways and intermediates

Fatty acid beta-oxidation is a key process in mammalian lipid catabolism. Disturbance of this process results in severe clinical symptoms, including dysfunction of the liver, a major beta-oxidizing tissue. For a thorough understanding of this process, a comprehensive analysis of involved fatty acid and acyl-carnitine intermediates is desired, but capable methods are lacking. Here, we introduce oxaalkyne and alkyne fatty acids as novel tracers to study the beta-oxidation of long- and medium-chain fatty acids in liver lysates and primary hepatocytes. Combining these new tracer tools with highly sensitive chromatography and mass spectrometry analyses, this study confirms differences in metabolic handling of fatty acids of different chain length. Unlike longer chains, we found that medium-chain fatty acids that were activated inside or outside of mitochondria by different acyl-CoA synthetases could enter mitochondria in the form of free fatty acids or as carnitine esters. Upon mitochondrial beta-oxidation, shortened acyl-carnitine metabolites were then produced and released from mitochondria. In addition, we show that hepatocytes ultimately also secreted these shortened acyl chains into their surroundings. Furthermore, when mitochondrial beta-oxidation was hindered, we show that peroxisomal beta-oxidation likely acts as a salvage pathway, thereby maintaining the levels of shortened fatty acid secretion. Taken together, we conclude that this new method based on oxaalkyne and alkyne fatty acids allows for metabolic tracing of the beta-oxidation pathway in tissue lysate and in living cells with unique coverage of metabolic intermediates and at unprecedented detail.

Bioorthogonal Chemistry and Its Applications

Bioorthogonal chemistry is a set of methods using the chemistry of non-native functional groups to explore and understand biology in living organisms. In this review, we summarize the most common reactions used in bioorthogonal methods, their relative advantages and disadvantages, and their frequency of occurrence in the published literature. We also briefly discuss some of the less common but potentially useful methods. We then analyze the bioorthogonal-related publications in the CAS Content Collection to determine how often different types of biomolecules such as proteins, carbohydrates, glycans, and lipids have been studied using bioorthogonal chemistry. The most prevalent biological and chemical methods for attaching bioorthogonal functional groups to these biomolecules are elaborated. We also analyze the publication volume related to different types of bioorthogonal applications in the CAS Content Collection. The use of bioorthogonal chemistry for imaging, identifying, and characterizing biomolecules and for delivering drugs to treat disease is discussed at length. Bioorthogonal chemistry for the surface attachment of proteins and in the use of modified carbohydrates is briefly noted. Finally, we summarize the state of the art in bioorthogonal chemistry and its current limitations and promise for its future productive use in chemistry and biology.

Cu(I)-Catalyzed Click Chemistry in Glycoscience and Their Diverse Applications

Copper(I)-catalyzed 1,3-dipolar cycloaddition between organic azides and terminal alkynes, commonly known as CuAAC or click chemistry, has been identified as one of the most successful, versatile, reliable, and modular strategies for the rapid and regioselective construction of 1,4-disubstituted 1,2,3-triazoles as diversely functionalized molecules. Carbohydrates, an integral part of living cells, have several fascinating features, including their structural diversity, biocompatibility, bioavailability, hydrophilicity, and superior ADME properties with minimal toxicity, which support increased demand to explore them as versatile scaffolds for easy access to diverse glycohybrids and well-defined glycoconjugates for complete chemical, biochemical, and pharmacological investigations. This review highlights the successful development of CuAAC or click chemistry in emerging areas of glycoscience, including the synthesis of triazole appended carbohydrate-containing molecular architectures (mainly glycohybrids, glycoconjugates, glycopolymers, glycopeptides, glycoproteins, glycolipids, glycoclusters, and glycodendrimers through regioselective triazole forming modular and bio-orthogonal coupling protocols). It discusses the widespread applications of these glycoproducts as enzyme inhibitors in drug discovery and development, sensing, gelation, chelation, glycosylation, and catalysis. This review also covers the impact of click chemistry and provides future perspectives on its role in various emerging disciplines of science and technology.