Metabolism-triggered sensor array aided by machine learning for rapid identification of pathogens

Chemical-nose strategy has achieved certain success in the discrimination and identification of pathogens. However, this strategy usually relies on non-specific interactions, which are prone to be significantly disturbed by the change of environment thus limiting its practical usefulness. Herein, we present a novel chemical-nose sensing approach leveraging the difference in the dynamic metabolic variation during peptidoglycan metabolism among different species for rapid pathogen discrimination. Pathogens were first tethered with clickable handles through metabolic labeling at two different acidities (pH = 5 and 7) for 20 and 60 min, respectively, followed by click reaction with fluorescence up-conversion nanoparticles to generate a four-dimensional signal output. This discriminative multi-dimensional signal allowed eight types of model bacteria to be successfully classified within the training set into strains, genera, and Gram phenotypes. As the difference in signals of the four sensing channels reflects the difference in the amount/activity of enzymes involved in metabolic labeling, this strategy has good anti-interference capability, which enables precise pathogen identification within 2 h with 100% accuracy in spiked urinary samples and allows classification of unknown species out of the training set into the right phenotype. The robustness of this approach holds significant promise for its widespread application in pathogen identification and surveillance.

Improved synthesis and application of an alkyne-functionalized isoprenoid analogue to study the prenylomes of motor neurons, astrocytes and their stem cell progenitors

Protein prenylation is one example of a broad class of post-translational modifications where proteins are covalently linked to various hydrophobic moieties. To globally identify and monitor levels of all prenylated proteins in a cell simultaneously, our laboratory and others have developed chemical proteomic approaches that rely on the metabolic incorporation of isoprenoid analogues bearing bio-orthogonal functionality followed by enrichment and subsequent quantitative proteomic analysis. Here, several improvements in the synthesis of the alkyne-containing isoprenoid analogue C15AlkOPP are reported to improve synthetic efficiency. Next, metabolic labeling with C15AlkOPP was optimized to obtain useful levels of metabolic incorporation of the probe in several types of primary cells. Those conditions were then used to study the prenylomes of motor neurons (ES-MNs), astrocytes (ES-As), and their embryonic stem cell progenitors (ESCs), which allowed for the identification of 54 prenylated proteins from ESCs, 50 from ES-MNs, and 84 from ES-As, representing all types of prenylation. Bioinformatic analysis revealed specific enriched pathways, including nervous system development, chemokine signaling, Rho GTPase signaling, and adhesion. Hierarchical clustering showed that most enriched pathways in all three cell types are related to GTPase activity and vesicular transport. In contrast, STRING analysis showed significant interactions in two populations that appear to be cell type dependent. The data provided herein demonstrates that robust incorporation of C15AlkOPP can be obtained in ES-MNs and related primary cells purified via magnetic-activated cell sorting allowing the identification and quantification of numerous prenylated proteins. These results suggest that metabolic labeling with C15AlkOPP should be an effective approach for investigating the role of prenylated proteins in primary cells in both normal cells and disease pathologies, including ALS.

Metabolic Labeling: Snapshot of the Effect of Toxins on the Key Cellular Processes

Competing bacteria secrete vast variety of toxic effectors via secretion systems. Phospholipase, peptidoglycan-hydrolase, or pore forming toxins often manifest in the bursting of the prey cell. Other toxins reach cytoplasm of the prey where they affect cell division machinery, metabolism, nucleic acid integrity, or protein synthesis. Inhibition of cell division or DNA integrity, which summons SOS response, will often lead to bacterial cell filamentation readily observable under the microscope. However, other toxic activities will not manifest in interpretable phenotypic changes that would readily suggest their mechanism of toxicity. Activity measurements of the three fundamental cellular processes-replication, transcription and translation can pave the way for further understanding of the toxin's activity. Method commonly known as metabolic labeling makes use of radioactive precursors for DNA, RNA and protein synthesis. This method provides highly sensitive snapshot of the activity of key cellular processes.

Monitoring the Secretion and Activity of Alpha-1 Antitrypsin in Various Mammalian Cell Types

Overexpression of recombinant protein in mammalian cells is widely used for producing biologics, as protein maturation and post-translational modifications are similar to human cells. Some therapeutics, such as mRNA vaccines, target nonnative cells that may contain inefficient secretory machinery. For example, gene replacement therapies for alpha-1 antitrypsin (AAT), a glycoprotein normally produced in hepatocytes, are often targeted to muscle cells due to ease of delivery. In this chapter, we define methods for expressing AAT in representative cell types such as Huh-7; hepatocytes; Chinese hamster ovarian cells (CHO), a common host to produce biologics; and C2C12, a muscle progenitor cell line. Methods for metabolically labeling AAT to monitor secretion in these cell lines are described along with the use of proteostasis activators to increase the amount of AAT secreted in both C2C12 myoblasts and differentiated myotubes. Assays to assess the activity and glycan composition of overexpressed AAT are also presented. The usage of the proteostasis activator SAHA provided a 40% improvement in expression of active AAT in muscle-like cells and may be an advantageous adjuvant for recombinant production of proteins delivered by mRNA vaccines.

Unveiling extracellular matrix assembly: Insights and approaches through bioorthogonal chemistry

Visualizing cells, tissues, and their components specifically without interference with cellular functions, such as biochemical reactions, and cellular viability remains important for biomedical researchers worldwide. For an improved understanding of disease progression, tissue formation during development, and tissue regeneration, labeling extracellular matrix (ECM) components secreted by cells persists is required. Bioorthogonal chemistry approaches offer solutions to visualizing and labeling ECM constituents without interfering with other chemical or biological events. Although biorthogonal chemistry has been studied extensively for several applications, this review summarizes the recent advancements in using biorthogonal chemistry specifically for metabolic labeling and visualization of ECM proteins and glycosaminoglycans that are secreted by cells and living tissues. Challenges, limitations, and future directions surrounding biorthogonal chemistry involved in the labeling of ECM components are discussed. Finally, potential solutions for improvements to biorthogonal chemical approaches are suggested. This would provide theoretical guidance for labeling and visualization of de novo proteins and polysaccharides present in ECM that are cell-secreted for example during tissue remodeling or in vitro differentiation of stem cells.

Modulation of cellular transcriptome and proteome composition by azidohomoalanine-implications on click chemistry-based secretome analysis

The analysis of the secretome provides important information on proteins defining intercellular communication and the recruitment and behavior of cells in specific tissues. Especially in the context of tumors, secretome data can support decisions for diagnosis and therapy. The mass spectrometry-based analysis of cell-conditioned media is widely used for the unbiased characterization of cancer secretomes in vitro. Metabolic labeling using azide-containing amino acid analogs in combination with click chemistry facilitates this type of analysis in the presence of serum, preventing serum starvation-induced effects. The modified amino acid analogs, however, are less efficiently incorporated into newly synthesized proteins and may perturb protein folding. Combining transcriptome and proteome analysis, we elucidate in detail the effects of metabolic labeling with the methionine analog azidohomoalanine (AHA) on gene and protein expression. Our data reveal that 15-39% of the proteins detected in the secretome displayed changes in transcript and protein expression induced by AHA labeling. Gene Ontology (GO) analyses indicate that metabolic labeling using AHA leads to induction of cellular stress and apoptosis-related pathways and provide first insights on how this affects the composition of the secretome on a global scale. KEY MESSAGES: Azide-containing amino acid analogs affect gene expression profiles. Azide-containing amino acid analogs influence cellular proteome. Azidohomoalanine labeling induces cellular stress and apoptotic pathways. Secretome consists of proteins with dysregulated expression profiles.

Use of alkyne-tagged myristic acid to detect N-terminal myristoylation

Protein N-terminal myristoylation is a lipidic modification typically occurring to the α-amino group of N-terminal glycine residues of proteins. It is catalyzed by the N-myristoyltransferase (NMT) enzyme family. Many studies in the past three decades have highlighted the importance of N-terminal glycine myristoylation as it affects protein localization, protein-protein interaction, and protein stability, thereby regulating multiple biological processes, including immune cell signaling, cancer progression, and infections. This book chapter will present protocols for using alkyne-tagged myristic acid to detect the N-myristoylation of targeted proteins in cell lines and compare global N-myristoylation levels. We then described a protocol of SILAC proteomics that compare the levels of N-myristoylation on a proteomic scale. These assays allow for the identification of potential NMT substrates and the development of novel NMT inhibitors.

In Situ Analysis of Mitochondrial DNA Synthesis Using Metabolic Labeling Coupled to Fluorescence Microscopy

Metabolic labeling with the nucleoside analog 5-ethynyl-2'-deoxyuridine (EdU) enables the selective labeling of DNA synthesis in live cells. Newly synthesized EdU-containing DNA can be covalently modified after extraction or in fixed cells using copper-catalyzed azide-alkyne cycloaddition "click chemistry" reactions, enabling bioconjugation to various substrates including fluorophores for imaging studies. While often used to study nuclear DNA replication, EdU labeling can also be leveraged to detect the synthesis of organellar DNA in the cytoplasm of Eukaryotic cells. In this chapter, we outline methods for the application of EdU labeling to the study of mitochondrial genome synthesis in fixed cultured human cells, using fluorescent labeling and superresolution light microscopy.

Metabolic deuterium oxide (D2O) labeling in quantitative omics studies: A tutorial review

Mass spectrometry (MS) is an invaluable tool for sensitive detection and characterization of individual biomolecules in omics studies. MS combined with stable isotope labeling enables the accurate and precise determination of quantitative changes occurring in biological samples. Metabolic isotope labeling, wherein isotopes are introduced into biomolecules through biosynthetic metabolism, is one of the main labeling strategies. Among the precursors employed in metabolic isotope labeling, deuterium oxide (D₂O) is cost-effective and easy to implement in any biological systems. This tutorial review aims to explain the basic principle of D₂O labeling and its applications in omics research. D₂O labeling incorporates D into stable C-H bonds in various biomolecules, including nucleotides, proteins, lipids, and carbohydrates. Typically, D₂O labeling is performed at low enrichment of 1%-10% D₂O, which causes subtle changes in the isotopic distribution of a biomolecule, instead of the complete separation between labeled and unlabeled samples in a mass spectrum. D₂O labeling has been employed in various omics studies to determine the metabolic flux, turnover rate, and relative quantification. Moreover, the advantages and challenges of D₂O labeling and its future prospects in quantitative omics are discussed. The economy, versatility, and convenience of D₂O labeling will be beneficial for the long-term omics studies for higher organisms.

The 2022 Nobel Prize in Chemistry for the development of click chemistry and bioorthogonal chemistry

The 2022 Nobel Prize in Chemistry recognized the development of biorthogonal chemical ligation reactions known as click chemistry in biomedicine. This concept has catalyzed significant progress in sensing and diagnosis, chemical biology, materials chemistry, and drug discovery and delivery. In proteomics, the ability to incorporate a click tag into proteins has propelled development of powerful new methods for selective enrichment of protein complexes that inform understanding of protein networks. It also has had a strong influence on the ability to enrich for protein post-translational modifications. This feature article summarizes the impacts of biorthogonal click chemistry on proteomics.

Ac34FGlcNAz is an effective metabolic chemical reporter for O-GlcNAcylated proteins with decreased S-glyco-modification

O-GlcNAcylation is a ubiquitous post-translational modification governing vital biological processes in cancer, diabetes and neurodegeneration. Metabolic chemical reporters (MCRs) containing bio-orthogonal groups such as azido or alkyne, are widely used for labeling of interested proteins. However, most MCRs developed for O-GlcNAc modification are not specific and always lead to unexpected side reactions termed S-glyco-modification. Here, we attempt to develop a new MCR of Ac₃4FGlcNAz that replacing the 4-OH of Ac₄GlcNAz with fluorine, which is supposed to abolish the epimerization of GALE and enhance the selectivity. The discoveries demonstrate that Ac₃4FGlcNAz is a powerful MCR for O-GlcNAcylation with high efficiency and the process of this labeling is conducted by the two enzymes of OGT and OGA. Most importantly, Ac₃4FGlcNAz is predominantly incorporated intracellular proteins in the form of O-linkage and leads to negligible S-glyco-modification, indicating it is a selective MCR for O-GlcNAcylation. Therefore, we reason that Ac₃4FGlcNAz developed here is a well characterized MCR of O-GlcNAcylation, which provides more choice for label and enrichment of O-GlcNAc associated proteins.

Assaying the Posttranslational Arginylation of Proteins in Cultured Cells

To evaluate the posttranslational arginylation of proteins in vivo, we describe a protocol for studying the ¹⁴C-Arg incorporation into proteins of cells in culture. The conditions determined for this particular modification contemplate both the biochemical requirements of the enzyme ATE1 and the adjustments that allowed the discrimination between posttranslational arginylation of proteins and de novo synthesis. These conditions are applicable for different cell lines or primary cultures, representing an optimal procedure for the identification and the validation of putative ATE1 substrates.

Quantification of Protein Palmitoylation by Cysteine-SILAC

Cysteine-SILAC enables the detection and quantification of protein S-palmitoylation, an important protein posttranslational modification. Here we describe the cell culture, protein extraction, selective enrichment, mass spectrometry, and data analysis for palmitoylated proteins from cell samples by this method.

Heavy Methyl SILAC Metabolic Labeling of Human Cell Lines for High-Confidence Identification of R/K-Methylated Peptides by High-Resolution Mass Spectrometry

Protein methylation is a widespread post-translational modification (PTM) involved in several important biological processes including, but not limited to, RNA splicing, signal transduction, translation, and DNA repair. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is considered today the most versatile and accurate technique to profile PTMs with high precision and proteome-wide depth; however, the identification of protein methylations by MS is still prone to high false discovery rates. In this chapter, we describe the heavy methyl SILAC metabolic labeling strategy that allows high-confidence identification of in vivo methyl-peptides by MS-based proteomics. We provide a general protocol that covers the steps of heavy methyl labeling of cultured cells, protein sample preparation, LC-MS/MS analysis, and downstream computational analysis of the acquired MS data.

Ensuring Quality Cell Input for Single Cell Sequencing Experiments by Viability and Singlet Enrichment Using Cell Sorting

As with every sensitive analysis technology, the golden principle of "input quality rules output quality" also applies to single cell sequencing methods. Given the sensitivity of the current methods in single cell sequencing and the minuscule amounts of RNA present within a single cell, any extrinsic source of variability should be reduced by ensuring a homogenous input right at the start. Not every tissue is as readily handled as a single cell suspension like blood and most tissues will have to undergo digestions to free the cells from their spatial organization to undergo single cell transcriptomics workflows. This chapter provides working protocols for two simple, but very precise and powerful methods to ensure only the most viable cells are introduced into single cell assays.

Regulation of Cell Polarity by Posttranslational Protein Palmitoylation

Cell polarity is a common feature of many living cells, especially epithelial cells, and plays important roles in development, tissue homeostasis, and diseases. Therefore, the signaling pathways involved in establishing and maintaining cell polarity are tightly controlled. Protein S-palmitoylation has been recently recognized as an important posttranslational modification involved in cell polarity, via dynamic covalent attachment of fatty acyl groups to the cysteine residues of cell polarity proteins. Here, we describe the methods to study the function and regulation of S-palmitoylation of cell polarity proteins.

Proteome Turnover Analysis in Haloferax volcanii by a Heavy Isotope Multilabeling Approach

The cellular protein repertoire is highly dynamic and responsive to internal or external stimuli. Its changes are largely the consequence of the combination of protein synthesis and degradation, referred collectively as protein turnover. Different proteomics techniques have been developed to determine the whole proteome turnover of a cell, but very few have been applied to archaea. In this chapter we describe a heavy isotope multilabeling method that allowed the successful analysis of relative protein synthesis and degradation rates on the proteome scale of the halophilic archaeon Haloferax volcanii. This method combines ¹⁵N and ¹³C isotope metabolic labeling with high-resolution mass spectrometry and data analysis tools (QuPE web-based platform) and could be applied to different archaea.

Metabolic Incorporation of Azido-Sugars into LPS to Enable Live-Cell Fluorescence Imaging

Metabolic labeling of lipopolysaccharides (LPS) with the exogenous azido analog of 3-deoxy-D-manno-oct-2-ulosonic acid (Kdo) or Kdo-N₃ allows for both live-cell and molecular analysis of the outer membrane composition and biosynthesis in different Gram-negative bacteria. Here, we describe Kdo-N₃ incorporation into bacterial cells, followed by click labeling with a fluorescent dye. The fluorescently labeled LPS can be analyzed from lysed cells by SDS-PAGE and from intact cells by microscopy and flow cytometry. These methods have been applied to the Gram-negative bacteria Escherichia coli and Klebsiella pneumoniae, which possess the sialic acid transporter NanT that is also capable of transporting exogenous Kdo and Kdo analogs into the cytoplasm for incorporation into nascent LPS.

Characterization of a spontaneous cell line from primary mouse fibroblasts as a model to study Sanfilippo syndrome

To evaluate a new approach to Mucopolysaccharidosis type IIIA (MPS-IIIA), work was initiated on primary fibroblasts from a well-known mouse model in which sulfamidase deficiency correlates with the accumulation of heparan sulfate - the hallmark of this disease. Once the culture of fibroblasts was established, we observed continuous proliferation with a rapid growth rate, loss of contact inhibition and late passage stability, corresponding to a spontaneously immortalized cell line. The presence of the single point D31N mutation was verified and both rapid and abundant intracellular accumulation of low molecular weight HS was observed, confirming both genotype and phenotype. This cell line is a potential in vitro model system for future studies of MPS-IIIA prior to employing animal models.

Tools for Assessing Cell-Cycle Progression in Plants

Estimation of cell-cycle parameters is crucial for understanding the developmental programs established during the formation of an organism. A number of complementary approaches have been developed and adapted to plants to assess the cell-cycle status in different proliferative tissues. The most classical methods relying on metabolic labeling are still very much employed and give valuable information on cell-cycle progression in fixed tissues. However, the growing knowledge of plant cell-cycle regulators with defined expression pattern together with the development of fluorescent proteins technology enabled the generation of fusion proteins that function individually or in conjunction as cell-cycle reporters. Together with the improvement of imaging techniques, in vivo live imaging to monitor plant cell-cycle progression in normal growth conditions or in response to different stimuli has been possible. Here, we review these tools and their specific outputs for plant cell-cycle analysis.

Advances in mass spectrometry-based glycoproteomics: An update covering the period 2017-2021

Protein glycosylation is one of the most common posttranslational modifications, and plays an essential role in a wide range of biological processes such as immune response, intercellular signaling, inflammation, host-pathogen interaction, and protein stability. Glycoproteomics is a proteomics subfield dedicated to identifying and characterizing the glycans and glycoproteins in a given cell or tissue. Aberrant glycosylation has been associated with various diseases such as Alzheimer's disease, viral infections, inflammation, immune deficiencies, congenital disorders, and cancers. However, glycoproteomic analysis remains challenging because of the low abundance, site-specific heterogeneity, and poor ionization efficiency of glycopeptides during LC-MS analyses. Therefore, the development of sensitive and accurate approaches to efficiently characterize protein glycosylation is crucial. Methods such as metabolic labeling, enrichment, and derivatization of glycopeptides, coupled with different mass spectrometry techniques and bioinformatics tools, have been developed to achieve sophisticated levels of quantitative and qualitative analyses of glycoproteins. This review attempts to update the recent developments in the field of glycoproteomics reported between 2017 and 2021.

Metabolic labeling of enterovirus 71 with quantum dots for the study of virus receptor usage

Fluorescent labeling and dynamic tracking is a powerful tool for exploring virus infection mechanisms. However, for small-sized viruses, virus tracking studies are usually hindered by a lack of appropriate labeling methods that do not dampen virus yield or infectivity. Here, we report a universal strategy for labeling viruses with chemical dyes and Quantum dots (QDs). Enterovirus 71 (EV71) was produced in a cell line that stably expresses a mutant methionyl-tRNA synthetase (MetRS), which can charge azidonorleucine (ANL) to the methionine sites of viral proteins during translation. Then, the ANL-containing virus was easily labeled with DBCO-AF647 and DBCO-QDs. The labeled virus shows sufficient yield and no obvious decrease in infectivity and can be used for imaging the virus entry process. Using the labeled EV71, different functions of scavenger receptor class B, member 2 (SCARB2), and heparan sulfate (HS) in EV71 infection were comparatively studied. The cell entry process of a strong HS-binding EV71 strain was investigated by real-time dynamic visualization of EV71-QDs in living cells. Taken together, our study described a universal biocompatible virus labeling method, visualized the dynamic viral entry process, and reported details of the receptor usage of EV71.

Synthesis of Na2S2O4 mediated cleavable affinity tag for labeling of O-GlcNAc modified proteins via azide-alkyne cycloaddition

A facile and convergent procedure for the synthesis of azobenzene-based probe was reported, which could selectively release interested proteins conducted with sodium dithionite. Besides, the cleavage efficiency is closely associated with the structural features, in which an ortho-hydroxyl substituent is necessary for reactivity. In addition, the azobenzene tag applied in the Ac₄GlcNAz-labled proteins demonstrated high efficiency and selectivity in comparison with Biotin-PEG₄-Alkyne, which provides a useful platform for enrichment of any desired bioorthogonal proteomics.

Chemical probes for tagging mycobacterial lipids

Mycobacteria, which cause tuberculosis and related diseases, possess a diverse set of complex envelope lipids that provide remarkable tolerance to antibiotics and are major virulence factors that drive pathogenesis. Recently, metabolic labeling and bio-orthogonal chemistry have been harnessed to develop chemical probes for tagging specific lipids in live mycobacteria, enabling a range of new basic and translational research avenues. A toolbox of probes has been developed for labeling mycolic acids and their derivatives, including trehalose-, arabinogalactan-, and protein-linked mycolates, as well as newer probes for labeling phthiocerol dimycocerosates (PDIMs) and potentially other envelope lipids. These lipid-centric tools have yielded fresh insights into mycobacterial growth and host interactions, provided new avenues for drug target discovery and characterization, and inspired innovative diagnostic and therapeutic strategies.

Metabolic Labeling of Clostridioides difficile Proteins

The introduction of stable isotopes in vivo via metabolic labeling approaches (SILAC or ¹⁵N-labeling) allows, after combination of differentially treated labeled and unlabeled cells or protein extracts, for correction of protein quantification errors implemented during elaborated sample preparation workflows. The SILAC-based approach uses heavy arginine and lysine to incorporate the label into bacterial strains and cell lines, whereas ¹⁵N-metabolic labeling is achieved by cultivation in ¹⁵N-salt containing media. In case of Clostridioides difficile, the lack in arginine and lysine auxotrophy as well as the Stickland dominated metabolism makes metabolic labeling challenging. Here, a step-by-step guideline for the metabolic labeling of C. difficile is described, which combines cultivation in liquid ¹⁵N-substituted medium followed by cultivation steps on solid ¹⁵N-substituted medium. The described procedure results in a label incorporation rate higher than 97%. Cells prepared by the following method can be used as standard for relative quantification approaches of, e.g., the membrane or surface proteome of C. difficile.

Metabolic Labeling of Live Stem Cell for In Vitro Imaging and In Vivo Tracking

Stem cell therapy offers promising solutions to diseases and injuries that traditional medicines and therapies can't effectively cure. To get and explain their full therapeutic potentials, the survival, viability, integration, homing, and differentiation of stem cells after transplant must be clearly understood. To meet these urgent needs, noninvasive stem cell imaging and tracking technologies have been developed. Metabolic labeling technique is one of the most powerful tools for live cell imaging and tracking. In addition, it has many advantages for in vivo live cell imaging and tracking such as low background, correlation of survival, and very toxic and nontoxic by-products. Herein, we described the fundamental information and process of metabolic labeling techniques and suggested optimal condition for in vitro and in vivo imaging and tracking of human umbilical cord blood-derived endothelial progenitor cells (hUCB-EPCs). Based on this study, metabolic labeling techniques can be helpful for understanding the safety and effectiveness of stem cell-based therapy and determining the utility of stem cells in downstream experiments.

Chemoenzymatic strategies for RNA modification and labeling

RNA is a central molecule in numerous cellular processes, including transcription, translation, and regulation of gene expression. To reveal the numerous facets of RNA function and metabolism in cells, labeling has become indispensable and enables the visualization, isolation, characterization, and even quantification of certain RNA species. In this review, we will cover chemoenzymatic approaches for covalent RNA labeling. These approaches rely on an enzymatic step to introduce an RNA modification before conjugation with a label for detection or isolation. We start with in vitro manipulation of RNA, sorted according to the enzymatic reaction exploited. Then, metabolic approaches for co- and post-transcriptional RNA labeling will be treated. We focus on recent advances in the field and highlight the most relevant applications for cellular imaging, RNA isolation and sequencing.

A terminal alkyne and disulfide functionalized agarose resin specifically enriches azidohomoalanine labeled nascent proteins

Nascent proteome presents dynamic changes in response to a certain stimulus. Thus, monitoring nascent proteome is critical to uncovering the involved biological mechanism. But the low-abundance of nascent proteome against an overwhelming pre-existing proteome limits its identification and quantification. Herein, we present a novel strategy to enrich nascent proteome from whole cell lysate for further analysis by mass spectrometry. We employed a terminal alkyne and disulfide functionalized agarose resin to capture nascent proteome which had been labeled by L-azidohomoalanine. Results from the western blot, silver staining and pulse metabolic labeling suggested that the nascent proteome could be enriched efficiently. Applied to Hela cells, the method identified about 700 nascent proteins with good correlation with previous reports. The above indicates that our strategy can be used to reveal the proteome dynamics of biological processes.

High-Throughput Measurement of Mitochondrial RNA Turnover in Human Cultured Cells

RNA turnover is an essential part of the gene expression pathway, and there are several experimental approaches for its determination. High-throughput measurement of global RNA turnover rates can provide valuable information about conditions or proteins that impact gene expression. Here, we present a protocol for mitochondrial RNA turnover analysis which involves metabolic labeling of RNA coupled with quantitative high-throughput fluorescent microscopy. This approach gives an excellent opportunity to discover new factors involved in mitochondrial gene regulation when combined with loss-of-function screening strategy.

Quantitative Mass Spectrometry-Based Proteomics: An Overview

In recent decades, mass spectrometry has moved more than ever before into the front line of protein-centered research. After being established at the qualitative level, the more challenging question of quantification of proteins and peptides using mass spectrometry has become a focus for further development. In this chapter, we discuss and review actual strategies and problems of the methods for the quantitative analysis of peptides, proteins, and finally proteomes by mass spectrometry. The common themes, the differences, and the potential pitfalls of the main approaches are presented in order to provide a survey of the emerging field of quantitative, mass spectrometry-based proteomics.

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

Metabolic labeling, in which substrate analogs containing diminutive tags can infiltrate biosynthetic pathways and generate labeled products in cells, has led to dramatic advancements in the means by which complex biomolecules can be detected and biological processes can be elucidated. Within this realm, metabolic labeling of lipid products, particularly in a manner that is headgroup-specific, brings about a number of technical challenges including the complexity of lipid metabolic pathways as well as the simplicity of biosynthetic precursors to headgroup functionality. As such, only a handful of strategies for metabolic labeling of lipids have thus far been reported. However, these approaches provide enticing examples of how strategic modifications to substrate structures, particularly by introducing clickable moieties, can enable the hijacking of lipid biosynthesis. Furthermore, early work in this field has led to an explosion in diverse applications by which these techniques have been exploited to answer key biological questions or detect and track various lipid-containing biological entities. In this article, we review these efforts and emphasize recent advancements in the development and application of lipid metabolic labeling strategies.

Cross-linking cellular nucleic acids via a target-directing double click reagent

Bioorthogonal ligation reactions are powerful tools for characterizing DNA metabolism, DNA-protein binding interactions, and they even provide new leads for therapeutic strategies. Nucleoside analogs can deliver bioorthogonal functional groups into chromatin via cellular metabolic pathways, however, insufficient phosphorylation by endogenous kinases often limits the efficiency of their incorporation. Even when successfully metabolized into biopolymers, steric hindrance of the modified nucleotide by chromatin can inhibit subsequent click reactions. In this chapter, we describe methods that overcome these limitations. Nucleotide monophosphate triesterers can bypass the need for cellular nucleoside kinase activity and thereby enable efficient incorporation of azide groups into cellular DNA. Steric access to and modification of the azide groups within natively folded chromatin can then be accomplished using a bioorthogonal "intercalating reagent" comprised of a cationic Sondheimer diyne that reversibly intercalates into duplexes where it undergoes tandem, strain-promoted cross-linking of two azides to give DNA-DNA interstrand crosslinks or DNA-fluorophore conjugation, depending on the relative number and spatial orientation of the azide groups in the DNA.

Tissue distribution of 35S-metabolically labeled neublastin (BG00010) in rats

Neublastin (NBN) is a neurotrophic growth factor that promotes the survival and regenerative properties of nociceptive neurons and has been tested in clinical trials as a treatment for neuropathic pain in individuals with sciatica and painful lumbosacral radiculopathy. Like many low molecular weight heparin binding proteins, NBN is rapidly cleared from the blood following systemic administration. To explore ADME properties of NBN in rats, we used metabolically ³⁵S-labeled NBN following IV and SC administration quantifying counts and intact protein in kidney, liver, brain, serum, and urine at 5 min, 8 h, 24 h and 48 h, and biodistribution in whole body carcasses by QWBA at 2, 8, 48, 96, and 168 h post dose. NBN is rapidly taken up by tissues mainly by liver and kidney and then degraded. Products of degradation are excreted in urine or recycled and utilized for resynthesis. The data we generated for NBN provides a first look at the complex clearance mechanisms for this protein and should aid in the design of ADME studies for other heparin binding proteins.

Benzamidine ML336 inhibits plus and minus strand RNA synthesis of Venezuelan equine encephalitis virus without affecting host RNA production

Venezuelan equine encephalitis virus (VEEV) is an alphavirus that is endemic to the Americas. VEEV outbreaks occur periodically and cause encephalitis in both humans and equids. There are currently no therapeutics or vaccines for treatment of VEEV in humans. Our group has previously reported on the development of a benzamidine VEEV inhibitor, ML336, which shows potent antiviral activity in both in vitro and in vivo models of infection. In cell culture experiments, ML336 inhibits viral RNA synthesis when added 2-4 h post-infection, and mutations conferring resistance occur within the viral nonstructural proteins (nsP2 and nsP4). We hypothesized that ML336 targets an activity of the viral replicase complex and inhibits viral RNA synthesis. To test this hypothesis, we employed various biochemical and cellular assays. Using structural analogues of ML336, we demonstrate that the cellular antiviral activity of these compounds correlates with their inhibition of viral RNA synthesis. For instance, the IC50 of ML336 for VEEV RNA synthesis inhibition was determined as 1.1 nM, indicating potent anti-RNA synthesis activity in the low nanomolar range. While ML336 efficiently inhibited VEEV RNA synthesis, a much weaker effect was observed against the Old World alphavirus Chikungunya virus (IC50 > 4 μM), agreeing with previous data from a cell based assay. Using a tritium incorporation assay, we demonstrated that there was no significant inhibition of cellular transcription. With a combination of fluorography, strand-specific qRT-PCR, and tritium incorporation, we demonstrated that ML336 inhibits the synthesis of the positive sense genomic, negative sense template, and subgenomic RNAs of VEEV. Based on these results, we propose that the mechanism of action for this class of antiviral compounds is inhibition of viral RNA synthesis through interaction with the viral replicase complex.

Polysome Profiling and Metabolic Labeling Methods to Measure Translation in Trypanosoma brucei

The amount of a protein that is made in a cell is determined not only by the corresponding mRNA level but also by the efficiency with which the mRNA is translated. Very powerful transcriptome-wide methods are available to analyze both the density of ribosomes on each mRNA and the rate at which polypeptides are elongated. However, for many research questions, simpler, less expensive methods are more suitable. Here we describe two methods to assess the general translation status of cells: polysome profiling by sucrose density gradient centrifugation and metabolic labeling using radioactive amino acids. Both methods can also be used to examine translation of individual mRNAs.

Metabolic Labeling of Inositol Phosphates and Phosphatidylinositols in Yeast and Mammalian Cells

Inositol phosphate (IP) and phosphatidylinositol (PI) signaling are critical signal transduction pathways responsible for generating numerous receptor-mediated cellular responses. Biochemical and genetic studies have revealed diverse roles of IP and PI signaling in eukaryotic signaling, but detailed characterization of unique IP and PI signaling profiles in response to different agonists and among cell types remains largely unexplored. Here, we outline steady-state inositol metabolic-labeling techniques that can be leveraged to assess the IP and PI signaling state in eukaryotic cells. This flexible technique can be amended and optimized to your cell line of interest, perturbed with biochemical, genetic, or pharmacological alteration, and used to provide comprehensive inositol profiling in various cellular systems.

Thiouridine-to-Cytidine Conversion Sequencing (TUC-Seq) to Measure mRNA Transcription and Degradation Rates

The study of RNA dynamics, specifically RNA transcription and decay rates, has gained increasing attention in recent years because various mechanisms have been discovered that affect mRNA half-life, thereby ultimately controlling protein output. Therefore, there is a need for methods enabling minimally invasive, simple and high-throughput determination of RNA stability that can be applied to determine RNA transcription and decay rates in cells and organisms. We have recently developed a protocol which we named TUC-seq to directly distinguish newly synthesized transcripts from the preexisting pool of transcripts by metabolic labeling of nascent RNAs with 4-thiouridine (4sU) followed by osmium tetroxide-mediated conversion of 4sU to cytidine (C) and direct sequencing. In contrast to other related methods (SLAM-seq, TimeLapse-seq), TUC-seq converts 4sU to a native C instead of an alkylated or otherwise modified nucleoside derivative. TUC-seq can be applied to any cell type that is amenable to 4sU labeling. By employing different labeling strategies (pulse or pulse-chase labeling), it is suitable for a broad field of applications and provides a fast and highly efficient means to determine mRNA transcription and decay rates.

Methodology for Detecting Protein Palmitoylation

It is well established that palmitoylation plays a key role in the regulation of immune checkpoints, but the technical challenges in detecting protein palmitoylation have significantly prohibited further researches in this field. Till now, different approaches have been proposed, such as mutagenesis, antibody-based methods, bioinformatic prediction, "palmitate-centric" approaches, and "cysteine-centric" approaches. Of specific importance, high-throughput methods that allow the unbiased discovery of palmitoylation in the whole proteome should be further improved and employed. This chapter will summarize the methodological progresses for detecting protein palmitoylation, aiming to facilitate future researches in the lipid modification of immune checkpoint proteins.

Systematic and site-specific analysis of N-glycoproteins on the cell surface by integrating bioorthogonal chemistry and MS-based proteomics

Glycoproteins on the cell surface are essential for various cellular activities including cell-cell communication and cell-matrix interaction. Alterations of glycosylation are correlated with many diseases such as cancer and infectious diseases. However, it is greatly challenging to systematically and site-specially analyze glycoproteins only located on cell surface because of the heterogeneity of glycans, the low abundance of many surface glycoproteins and the requirement of effective methods to separate surface glycoproteins. In this chapter, we briefly review existing mass spectrometry (MS)-based methods for global analysis of surface glycoproteins. Then we discuss an effective method integrating metabolic labeling, click and enzymatic reactions, and MS-based proteomics to comprehensively and site-specifically investigate cell surface N-glycoproteins. A detailed protocol for this method is also included. In combination with quantitative proteomics, we applied this method to quantify cell surface N-glycoproteins and study the relationship between cell invasiveness and N-sialoglycoproteins on the cell surface. Considering the importance of surface glycoproteins, this method can be extensively applied to advance glycoscience, which leads to a better understanding of the molecular mechanisms of human diseases, and the discovery of surface glycoproteins as biomarkers for disease detection.

Enrichment of S-Palmitoylated Proteins for Mass Spectrometry Analysis

As the 10-year anniversary of their first introduction approaches, alkynyl fatty acids have revolutionized the analysis of S-palmitoylation dynamics, acting as functional mimics incorporated into native modification sites in cultured cells. The alkyne functional group provides a robust handle for bioorthogonal Cu(I)-catalyzed azide-alkyne cycloaddition (CuAAC) to reporter-linked azides, forming a stable conjugate for enrichment for mass spectrometry analysis or in-gel fluorescence. Importantly, metabolic labeling enables time-dependent analysis of S-palmitoylation dynamics, which can be used to profile incorporation and turnover rates across the proteome. Here we present a protocol for cell labeling, click chemistry conjugation, enrichment, and isobaric tandem mass tag labeling for quantitative mass spectrometry analysis of protein S-palmitoylation.

Non-canonical amino acid labeling in proteomics and biotechnology

Metabolic labeling of proteins with non-canonical amino acids (ncAAs) provides unique bioorthogonal chemical groups during de novo synthesis by taking advantage of both endogenous and heterologous protein synthesis machineries. Labeled proteins can then be selectively conjugated to fluorophores, affinity reagents, peptides, polymers, nanoparticles or surfaces for a wide variety of downstream applications in proteomics and biotechnology. In this review, we focus on techniques in which proteins are residue- and site-specifically labeled with ncAAs containing bioorthogonal handles. These ncAA-labeled proteins are: readily enriched from cells and tissues for identification via mass spectrometry-based proteomic analysis; selectively purified for downstream biotechnology applications; or labeled with fluorophores for in situ analysis. To facilitate the wider use of these techniques, we provide decision trees to help guide the design of future experiments. It is expected that the use of ncAA labeling will continue to expand into new application areas where spatial and temporal analysis of proteome dynamics and engineering new chemistries and new function into proteins are desired.

Dynamic Radiolabeling of S-Palmitoylated Proteins

Proteins can be radiolabeled either during synthesis, typically using ³⁵S-cysteine/methionine (³⁵S-Cys/Met), or after synthesis, by adding a radiolabeled posttranslational modification. Here we describe how protein S-palmitoylation, and its dynamics, can be monitored by ³H-palmitate labeling and how the importance of S-palmitoylation in protein biogenesis and turnover can be investigated using ³⁵S-Cys/Met pulse-chase metabolic labeling. Proteins frequently have multiple palmitoylation sites. The importance thereof on the design and interpretation of metabolic labeling experiments is discussed.

SIP-Metaproteomics: Linking Microbial Taxonomy, Function, and Activity

Stable isotope probing combined with metaproteomics enables the detection and characterization of active key species in microbial populations under near-natural conditions, which greatly helps to understand the metabolic functions of complex microbial communities. This is achieved by providing growth substrates labeled with heavy isotopes such as ¹³C, which will be assimilated into microbial biomass. After subsequent extraction of proteins and proteolytic cleavage into peptides, the heavy isotope enrichment can be detected by high-resolution mass spectrometric analysis, and linked to the functional and taxonomic characterization of these biomarkers. Here we provide protocols for obtaining isotopically labeled proteins and for downstream SIP-metaproteomics analysis.

Analysis of Proteoglycan Synthesis and Secretion in Cell Culture Systems

Experimental protocols for the synthesis and secretion of proteoglycans in cell culture models are important to study specific biosynthetic steps or disorders in which a defect in proteoglycans is expected. We describe a method using ³⁵S-sulfate to metabolically label newly synthesized proteoglycans from cell cultures in order to measure proteoglycan synthesis and secretion. The method is set up for fibroblast and chondrocyte cultures, but can be extended to other cell types.

Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) for Quantitative Proteomics

Stable isotope labeling by amino acids in cell culture (SILAC) is a powerful approach for high-throughput quantitative proteomics. SILAC allows highly accurate protein quantitation through metabolic encoding of whole cell proteomes using stable isotope labeled amino acids. Since its introduction in 2002, SILAC has become increasingly popular. In this chapter we review the methodology and application of SILAC, with an emphasis on three research areas: dynamics of posttranslational modifications, protein-protein interactions, and protein turnover.

Preparation of RNA 3' End Sequencing Libraries of Total and 4-thiouracil Labeled RNA for Simultaneous Measurement of Transcription, RNA Synthesis and Decay in S. cerevisiae

Cellular RNA levels are determined by the rates of RNA transcription from the gene template and subsequent RNA stability. Knowledge about both transcription and RNA decay is, therefore, necessary to interpret RNA levels and gene expression, especially during cellular processes where these parameters change. Numerous experimental strategies have been developed to measure transcription and RNA decay rates. However, to our knowledge, none of those techniques can simultaneously interrogate transcription and RNA decay. The presented protocol allows this and provides a simple approach to simultaneously estimate total RNA levels, transcription and decay rates from the same RNA sample. It is based on brief metabolic labeling of RNA and subsequent concurrent sequencing of polyA⁺ and polyA^- RNA 3' ends. The protocol was developed in S. cerevisiae and should be broadly applicable.

Optimization of Metabolic Labeling with Alkyne-Containing Isoprenoid Probes

Protein prenylation, found in eukaryotes, is a posttranslational modification in which one or two isoprenoid groups are added to the C terminus of selected proteins using either a farnesyl group or a geranylgeranyl group. Prenylation facilitates protein localization mainly to the plasma membrane where the prenylated proteins, including small GTPases, mediate signal transduction pathways. Changes in the level of prenylated proteins may serve a critical function in a variety of diseases. Metabolic labeling using modified isoprenoid probes followed by enrichment and proteomic analysis allows the identities and levels of prenylated proteins to be investigated. In this protocol, we illustrate how the conditions for metabolic labeling are optimized to maximize probe incorporation in HeLa cells through a combination of in-gel fluorescence and densitometric analysis.

Global analysis of RNA metabolism using bio-orthogonal labeling coupled with next-generation RNA sequencing

Many open questions in RNA biology relate to the kinetics of gene expression and the impact of RNA binding regulatory factors on processing or decay rates of particular transcripts. Steady state measurements of RNA abundance obtained from RNA-seq approaches are not able to separate the effects of transcription from those of RNA decay in the overall abundance of any given transcript, instead only giving information on the (presumed steady-state) abundances of transcripts. Through the combination of metabolic labeling and high-throughput sequencing, several groups have been able to measure both transcription rates and decay rates of the entire transcriptome of an organism in a single experiment. This review focuses on the methodology used to specifically measure RNA decay at a global level. By comparing and contrasting approaches and describing the experimental protocols in a modular manner, we intend to provide both experienced and new researchers to the field the ability to combine aspects of various protocols to fit the unique needs of biological questions not addressed by current methods.

Advances in mass spectrometry-based glycoproteomics

Protein glycosylation, an important PTM, plays an essential role in a wide range of biological processes such as immune response, intercellular signaling, inflammation, and host-pathogen interaction. Aberrant glycosylation has been correlated with various diseases. However, studying protein glycosylation remains challenging because of low abundance, microheterogeneities of glycosylation sites, and poor ionization efficiency of glycopeptides. Therefore, the development of sensitive and accurate approaches to characterize protein glycosylation is crucial. The identification and characterization of protein glycosylation by MS is referred to as the field of glycoproteomics. Methods such as enrichment, metabolic labeling, and derivatization of glycopeptides in conjunction with different MS techniques and bioinformatics tools, have been developed to achieve an unequivocal quantitative and qualitative characterization of glycoproteins. This review summarizes the recent developments in the field of glycoproteomics over the past 6 years (2012 to 2018).

Metabolic glycan labeling and chemoselective functionalization of native biomaterials

Decellularized native extracellular matrix (ECM) biomaterials are widely used in tissue engineering and have reached clinical application as biomesh implants. To enhance their regenerative properties and postimplantation performance, ECM biomaterials could be functionalized via immobilization of bioactive molecules. To facilitate ECM functionalization, we developed a metabolic glycan labeling approach using physiologic pathways to covalently incorporate click-reactive azide ligands into the native ECM of a wide variety of rodent tissues and organs in vivo, and into the ECM of isolated rodent and porcine lungs cultured ex vivo. The incorporated azides within the ECM were preserved after decellularization and served as chemoselective ligands for subsequent bioconjugation via click chemistry. As proof of principle, we generated alkyne-modified heparin, immobilized it onto azide-incorporated acellular lungs, and demonstrated its bioactivity by Antithrombin III immobilization and Factor Xa inhibition. The herein reported metabolic glycan labeling approach represents a novel platform technology for manufacturing click-reactive native ECM biomaterials, thereby enabling efficient and chemoselective functionalization of these materials to facilitate tissue regeneration and repair.