Proximity labeling-assisted click conjugation for electrochemical analysis of specific subpopulations in circulating extracellular vesicles

Sensitive and accurate analysis of specific subpopulations in circulating extracellular vesicles (EVs) can provide a wealth of information for cancer diagnosis and management. Thus, we propose herein a new electrochemical biosensing method based on a proximity labeling-assisted click conjugation strategy. The method's core design is use of antibody-guided proximity labeling to equip target EVs with a large amount of alkyne groups, so that azide-tagged silver nanoparticles can be accurately loaded onto target EV surfaces, via click conjugation, to generate significant electrochemical responses. Adopting CD44-positive EVs as the model, the electrochemical method was demonstrated by analyzing target EVs across a wide linear range (103-109 particles/mL) with acceptable sensitivity and specificity. Satisfactory utility in clinical blood samples, and versatility with human epidermal growth factor receptor-2-positive EVs as alternative targets, were also shown. This method may thus provide a novel approach to specific subgroup analyses of circulating EVs, and is expected to offer reliable guidance for cancer diagnoses and management strategies.

Revealing protein trafficking by proximity labeling-based proteomics

Protein trafficking is a fundamental process with profound implications for both intracellular and intercellular functions. Proximity labeling (PL) technology has emerged as a powerful tool for capturing precise snapshots of subcellular proteomes by directing promiscuous enzymes to specific cellular locations. These enzymes generate reactive species that tag endogenous proteins, enabling their identification through mass spectrometry-based proteomics. In this comprehensive review, we delve into recent advancements in PL-based methodologies, placing particular emphasis on the label-and-fractionation approach and TransitID, for mapping proteome trafficking. These methodologies not only facilitate the exploration of dynamic intracellular protein trafficking between organelles but also illuminate the intricate web of intercellular and inter-organ protein communications.

Decaging-to-labeling: Development and investigation of quinone methide warhead for protein labeling

Biomolecule labeling in living systems is crucial for understanding biological processes and discovering therapeutic targets. A variety of labeling warheads have been developed for multiple biological applications, including proteomics, bioimaging, sequencing, and drug development. Quinone methides (QMs), a class of highly reactive Michael receptors, have recently emerged as prominent warheads for on-demand biomolecule labeling. Their highly flexible functionality and tunability allow for diverse biological applications, but remain poorly explored at present. In this regard, we designed, synthesized, and evaluated a series of new QM probes with a trifluoromethyl group at the benzyl position and substituents on the aromatic ring to manipulate their chemical properties for biomolecule labeling. The engineered QM warhead efficiently labeled proteins both in vitro and under living cell conditions, with significantly enhanced activity compared to previous QM warheads. We further analyzed the labeling efficacy with the assistance of density functional theory (DFT) calculations, which revealed that the QM generation process, rather than the reactivity of QM, contributes more predominantly to the labeling efficacy. Noteworthy, twelve nucleophilic residues on the BSA were labeled by the probe, including Cys, Asp, Glu, His, Lys, Asn, Gln, Arg, Ser, Thr, Trp and Tyr. Given their high efficiency and tunability, these new QM warheads may hold great promise for a broad range of applications, especially spatiotemporal proteomic profiling for in-depth biological studies.

Identification of Protein Partners by APEX2 Proximity Labeling

Proximity labeling methods enable the identification of proteins in the vicinity of a protein of interest in living cells. Among them, APEX2 proximity is a powerful method to spatiotemporally define in vivo "proxisomes" in dynamic bacterial protein systems. Here we describe a standardized APEX2 proximity labeling protocol and possible adaptations to capture protein partners in native conditions.

TurboID-Based Proximity Labeling: A Method to Decipher Protein-Protein Interactions in Plants

Proteins form complex networks through interaction to drive biological processes. Thus, dissecting protein-protein interactions (PPIs) is essential for interpreting cellular processes. To overcome the drawbacks of traditional approaches for analyzing PPIs, enzyme-catalyzed proximity labeling (PL) techniques based on peroxidases or biotin ligases have been developed and successfully utilized in mammalian systems. However, the use of toxic H2O2 in peroxidase-based PL, the requirement of long incubation time (16-24 h), and higher incubation temperature (37 °C) with biotin in BioID-based PL significantly restricted their applications in plants. TurboID-based PL, a recently developed approach, circumvents the limitations of these methods by providing rapid PL of proteins under room temperature. We recently optimized the use of TurboID-based PL in plants and demonstrated that it performs better than BioID in labeling endogenous proteins. Here, we describe a step-by-step protocol for TurboID-based PL in studying PPIs in planta, including Agrobacterium-based transient expression of proteins, biotin treatment, protein extraction, removal of free biotin, quantification, and enrichment of the biotinylated proteins by affinity purification. We describe the PL using plant viral immune receptor N, which belongs to the nucleotide-binding leucine-rich repeat (NLR) class of immune receptors, as a model. The method described could be easily adapted to study PPI networks of other proteins in Nicotiana benthamiana and provides valuable information for future application of TurboID-based PL in other plant species.

Detection of Protein Tyrosine Phosphatase Interacting Partners by Mass Spectrometry

Unraveling interacting partners of protein tyrosine (Tyr) phosphatases is considered a key aspect in resolving the regulation of signaling cascades either in a pathological or in developmental context. Mass spectrometry (MS)-based protein identification has emerged as the major approach in this arena, complemented by the development of novel biochemical methodologies for sample preparation. In this chapter, we highlight two methods that, combined with mass spectrometry, may help the investigator create an interactome map for the phosphatase of interest within a specific biological context.

A Facile Method to Append a Bio-ID Tag to Endogenous Mutant Kras Alleles

KRAS mutations occur in approximately ~50% of colorectal cancers (CRCs) and are associated with poor prognosis and resistance to therapy. While these most common mutations found at amino acids G12, G13, Q61, and A146 have long been considered oncogenic drivers of CRC, emerging clinical data suggest that each mutation may possess different biological functions, resulting in varying consequences in oncogenesis. Currently, the mechanistic underpinnings associated with each allelic variation remain unclear. Elucidating the unique effectors of each KRAS mutant could both increase the understanding of KRAS biology and provide a basis for allele-specific therapeutic opportunities. Biotinylation identification (BioID) is a method to label and identify proteins located in proximity of a protein of interest. These proteins are captured through the strong interaction between the biotin label and streptavidin bead and subsequently identified by mass spectrometry. Here, we developed a protocol using CRISPR-mediated gene editing to generate endogenous BioID2-tagged KrasG12D and KrasG12V isogenic murine colon epithelial cell lines to identify unique protein proximity partners by BioID.

Light-activated BioID - an optically activated proximity labeling system to study protein-protein interactions

Proximity labeling with genetically encoded enzymes is widely used to study protein-protein interactions in cells. However, the accuracy of proximity labeling is limited by a lack of control over the enzymatic labeling process. Here, we present a light-activated proximity labeling technology for mapping protein-protein interactions at the cell membrane with high accuracy and precision. Our technology, called light-activated BioID (LAB), fuses the two halves of the split-TurboID proximity labeling enzyme to the photodimeric proteins CRY2 and CIB1. We demonstrate, in multiple cell lines, that upon illumination with blue light, CRY2 and CIB1 dimerize, reconstitute split-TurboID and initiate biotinylation. Turning off the light leads to the dissociation of CRY2 and CIB1 and halts biotinylation. We benchmark LAB against the widely used TurboID proximity labeling method by measuring the proteome of E-cadherin, an essential cell-cell adhesion protein. We show that LAB can map E-cadherin-binding partners with higher accuracy and significantly fewer false positives than TurboID.

The development of proximity labeling technology and its applications in mammals, plants, and microorganisms

Protein‒protein, protein‒RNA, and protein‒DNA interaction networks form the basis of cellular regulation and signal transduction, making it crucial to explore these interaction networks to understand complex biological processes. Traditional methods such as affinity purification and yeast two-hybrid assays have been shown to have limitations, as they can only isolate high-affinity molecular interactions under nonphysiological conditions or in vitro. Moreover, these methods have shortcomings for organelle isolation and protein subcellular localization. To address these issues, proximity labeling techniques have been developed. This technology not only overcomes the limitations of traditional methods but also offers unique advantages in studying protein spatial characteristics and molecular interactions within living cells. Currently, this technique not only is indispensable in research on mammalian nucleoprotein interactions but also provides a reliable approach for studying nonmammalian cells, such as plants, parasites and viruses. Given these advantages, this article provides a detailed introduction to the principles of proximity labeling techniques and the development of labeling enzymes. The focus is on summarizing the recent applications of TurboID and miniTurbo in mammals, plants, and microorganisms. Video Abstract.

Some aspects of the life of SARS-CoV-2 ORF3a protein in mammalian cells

The accessory protein ORF3a, from SARS-CoV-2, plays a critical role in viral infection and pathogenesis. Here, we characterized ORF3a assembly, ion channel activity, subcellular localization, and interactome. At the plasma membrane, ORF3a exists mostly as monomers and dimers, which do not alter the native cell membrane conductance, suggesting that ORF3a does not function as a viroporin at the cell surface. As a membrane protein, ORF3a is synthesized at the ER and sorted via a canonical route. ORF3a overexpression induced an approximately 25% increase in cell death. By developing an APEX2-based proximity labeling assay, we uncovered proteins proximal to ORF3a, suggesting that ORF3a recruits some host proteins to weaken the cell. In addition, it exposed a set of mitochondria related proteins that triggered mitochondrial fission. Overall, this work can be an important instrument in understanding the role of ORF3a in the virus pathogenicity and searching for potential therapeutic treatments for COVID-19.

Proteomic applications in identifying protein-protein interactions

There are many things that can be used to characterize a protein. Size, isoelectric point, hydrophobicity, structure (primary to quaternary), and subcellular location are just a few parameters that are used. The most important feature of a protein, however, is its function. While there are many experiments that can indicate a protein's role, identifying the molecules it interacts with is probably the most definitive way of determining its function. Owing to technology limitations, protein interactions have historically been identified on a one molecule per experiment basis. The advent of high throughput multiplexed proteomic technologies in the 1990s, however, made identifying hundreds and thousands of proteins interactions within single experiments feasible. These proteomic technologies have dramatically increased the rate at which protein-protein interactions (PPIs) are discovered. While the improvement in mass spectrometry technology was an early driving force in the rapid pace of identifying PPIs, advances in sample preparation and chromatography have recently been propelling the field. In this chapter, we will discuss the importance of identifying PPIs and describe current state-of-the-art technologies that demonstrate what is currently possible in this important area of biological research.

Proximity Protein Labeling In Dictyostelium With Engineered Ascorbic Acid Peroxidase 2

To fully understand any cellular process, we not only need to identify the proteins implicated, but also how the protein network is structurally and spatially organized and changes over time. However, the dynamic nature of many protein interactions involved in cellular signaling pathways continues to be the bottleneck in mapping and studying protein networks. Fortunately, a recently developed proximity labeling method using engineered ascorbic acid peroxidase 2 (APEX2) in mammalian cells allows the identification of weak and/or transient protein interactions with spatial and temporal resolution. Here, we describe a protocol for successfully using the APEX2-proximity labeling method in Dictyostelium, using the cAMP receptor cAR1 as example. Coupled to the identification of the labeled proteins by mass spectrometry, this method expands Dictyostelium's proteomics toolbox and should be widely useful for identifying interacting partners involved in a variety of biological processes in Dictyostelium.

Proximity labeling reveals a new in vivo network of interactors for the histone demethylase KDM5

BACKGROUND

KDM5 family proteins are multi-domain regulators of transcription that when dysregulated contribute to cancer and intellectual disability. KDM5 proteins can regulate transcription through their histone demethylase activity in addition to demethylase-independent gene regulatory functions that remain less characterized. To expand our understanding of the mechanisms that contribute to KDM5-mediated transcription regulation, we used TurboID proximity labeling to identify KDM5-interacting proteins.

RESULTS

Using Drosophila melanogaster, we enriched for biotinylated proteins from KDM5-TurboID-expressing adult heads using a newly generated control for DNA-adjacent background in the form of dCas9:TurboID. Mass spectrometry analyses of biotinylated proteins identified both known and novel candidate KDM5 interactors, including members of the SWI/SNF and NURF chromatin remodeling complexes, the NSL complex, Mediator, and several insulator proteins.

CONCLUSIONS

Combined, our data shed new light on potential demethylase-independent activities of KDM5. In the context of KDM5 dysregulation, these interactions may play key roles in the alteration of evolutionarily conserved transcriptional programs implicated in human disorders.

In vivo profiling of the Zucchini proximal proteome in the Drosophila ovary

PIWI-interacting RNAs (piRNAs) are small RNAs that play a conserved role in genome defense. The piRNA processing pathway is dependent on the sequestration of RNA precursors and protein factors in specific subcellular compartments. Therefore, a highly resolved spatial proteomics approach can help identify the local interactions and elucidate the unknown aspects of piRNA biogenesis. Herein, we performed TurboID proximity labeling to investigate the interactome of Zucchini (Zuc), a key factor of piRNA biogenesis in germline cells and somatic follicle cells of the Drosophila ovary. Quantitative mass spectrometry analysis of biotinylated proteins defined the Zuc-proximal proteome, including the well-known partners of Zuc. Many of these were enriched in the outer mitochondrial membrane (OMM), where Zuc was specifically localized. The proximal proteome of Zuc showed a distinct set of proteins compared with that of Tom20, a representative OMM protein, indicating that chaperone function-related and endomembrane system/vesicle transport proteins are previously unreported interacting partners of Zuc. The functional relevance of several candidates in piRNA biogenesis was validated by derepression of transposable elements after knockdown. Our results present potential Zuc-interacting proteins, suggesting unrecognized biological processes.

STAMP: Spatio-Temporal Association Mapping of Proteins

We describe a tool, Spatio-Temporal Association Mapping of Proteins (STAMP), for identifying protein interactomes via proximity labeling. For a proof-of-principle study, we use cytidine 5'-triphosphate synthase (CTPS) as an example. CTPS, a metabolic enzyme, forms filamentous structures termed cytoophidia in various tissues. We apply STAMP to a variety of developmental stages and tissues in Drosophila including adult ovaries. Using a cell-specific GAL4 driver, we verify that TurboID can biotinylate the bait protein CTPS, making possible the identification of protein-protein interactions (PPIs) in individual cells. Using the wild-type and mutant CTPS as bait proteins, STAMP results in two distinct sets of proximate proteomes. Our results suggest that STAMP is a feasible tool to catch in vivo PPIs in situ at a defined spatiotemporal resolution.

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.

Studying Cellular Dynamics Using Proximity-Dependent Biotinylation: Somatic Cell Reprogramming

Assessing the reorganization of proteins and organelles following the induction of reprogramming and differentiation programs is crucial to understand the mechanistic underpinning of morphological and fate changes associated with these processes. The advent of proximity-dependent biotinylation (PDB) methods has overcome some of the limitations of biochemical purification methods, enabling proteomic characterization of most subcellular compartments. The first-generation PDB enzyme, the biotin ligase BirA* used in BioID, has now been used in multiple studies determining the cellular context in which proteins reside, typically under standard growth conditions and using long labeling (usually 8-24 h) times. Capitalizing on the generation of more active PDB enzymes such as miniTurbo that can generate strong biotinylation signals in minutes rather than hours, as well as the development of an inducible lentiviral toolkit for BioID, we define here protocols for time-resolved PDB in primary cells. Here, we report the optimization and application of lentivirally delivered miniTurbo constructs to a mouse fibroblast model of somatic cell reprogramming, allowing the study of this dynamic process. This detailed protocol also provides a baseline reference for researchers who wish to adapt these techniques to other dynamic cellular processes.

Proximity-Dependent In Vivo Biotin Labeling for Interactome Mapping in Marchantia polymorpha

Weak or transient protein-protein interactions (PPIs) are involved in a manifold of cellular processes in all living organisms, including plants. However, many of these interactions may remain undiscovered by co-immunoprecipitation (Co-IP) approaches due to their low binding affinities or transitory nature. Enzyme-mediated proximity-dependent in vivo biotin labeling can be a powerful strategy to efficiently capture weak and transient PPIs and has been successfully applied in different model angiosperm species. Here, we provide an optimized and robust protocol for biotin ligase-mediated proximity labeling for interactome mapping in the model liverwort Marchantia polymorpha.

Analyzing Protein Interactions by MAC-Tag Approaches

Proteomics methods such as affinity purification (AP) and proximity-dependent labeling (PL) coupled with mass spectrometry (MS) are currently commonly utilized to define interaction landscapes. BioID is one of the PL approaches, and it employs the expression of bait proteins fused to a nonspecific biotin ligase (BirA*), to induce in vivo biotinylation of proximal proteins. We developed the multiple approaches combined (MAC)-tag workflow, which allows for both AP and BioID analysis with a single construct and with almost identical protein purification and MS identification procedures. MAC-tag is a well-established method and has been widely used. Recent developed PL tags such as BioID2 and UltraID are smaller versions of BirA* with faster labeling efficiency. We therefore incorporate these tags into our system to develop MAC2-tag (containing BioID2) and MAC3-tag (containing UltraID) to overcome potential limitations of the original MAC-tag system and broaden the spectrum of applications for MAC-tags. Here, we describe a detailed procedure for the MAC-tag system workflow including cell line generation for the MAC/MAC2/MAC3-tagged protein of interest (POI), sample preparation for AP and PL protein purification, and MS analysis.

Identification of Substrates of Secreted Bacterial Protease by APEX2-Based Proximity Labeling

The interactions between bacterial virulence factors and host receptors play a critical role during bacterial infection. Therefore, the identification of interactions between host receptor and bacterial virulence factors can not only elucidate the molecular mechanisms of bacterial infection but also provide a framework for new therapeutic and prevention strategies. Herein, we report an APEX2-based live cell proximity labeling strategy in combination with high-resolution quantitative mass spectrometry to profile the substrates of Helicobacter pylori HtrA protease on the membrane of human stomach epithelial cells. This strategy can be further applied to identify other interactions between secreted bacterial virulence factors and host receptors on live cells.

Common Assays in Mammalian Golgi Studies

The Golgi is a complex structure characterized by stacks of tightly aligned flat cisternae. In mammalian cells, Golgi stacks often concentrate in the perinuclear region and link together to form a ribbon. This structure is dynamic to accommodate continuous cargo flow in and out of the Golgi in both directions and undergoes morphological changes under physiological and pathological conditions. The fine, stacked Golgi structure makes it difficult to study by conventional light or even super-resolution microscopy. Furthermore, efforts to understand how Golgi structural dynamics impact cellular processes have been slow because of the knowledge gap in the protein machinery that maintains the complex and dynamic Golgi structure. In this method article, we list the common assays used in our research to help new and established researchers select the most appropriate method to properly address their questions.

Proximity Labeling and Proteomics: Get to Know Neighbors

Protein-protein interactions are essential in biological reactions and fundamental to cell-cell communication (e.g., the binding of secreted proteins, such as hormones, to cell membrane receptors) and the subsequent intracellular signal transduction cascade. Several studies have been extensively carried out on protein-protein interactions because they have the potential to resolve various problems in molecular biology. Biochemical methods, such as chemical cross-linking and immunoprecipitation, have long been used to analyze which proteins interact with each other. However, there are some problems, such as unphysiological states and non-specific binding, that require the development of more useful experimental methods. This chapter discusses the "proximity labeling (Proteomics)" analysis technique, which has been attracting attention in protein-protein interaction analysis in recent years and is used in many biological studies. "Membrane proximity labeling (proteomics)," which analyzes the interaction of cell membrane proteins, and "intracellular proximity labeling (proteomics)" will be explained in-depth.

Visualization and Purification of Caenorhabditis elegans Germ Granule Proteins Using Proximity Labeling

Membraneless organelles, such as germ granules and stress granules, are liquid-like condensates formed by phase transition. Recently, we and others have adopted proximity-based labeling methods to determine the composition of these membraneless compartments. Here, we describe the use of TurboID-an engineered promiscuous biotin ligase-to label and purify proteins localizing to Caenorhabditis elegans germ granules, known as P granules. We provide a detailed protocol for visualization of the subcellular localization of biotinylated proteins from dissected gonads, assessment of TurboID enrichment using streptavidin blots, and enrichment of biotinylated proteins under stringent conditions. Altogether, this protocol provides a workflow to unravel the proteome of C. elegans germ granules. Importantly, the assays described here can be applied to interrogate many membraneless organelles, in a diversity of living multicellular organisms. Graphical abstract.

Transcriptome-scale methods for uncovering subcellular RNA localization mechanisms

Across a variety of systems, thousands of RNAs are localized to specific subcellular locations. However, for the vast majority of these RNAs, the mechanisms that underlie their transport are unknown. Historically, these mechanisms were uncovered for a single transcript at a time by laboriously testing the ability of RNA fragments to direct transcript localization. Recently developed methods profile the content of subcellular transcriptomes using high-throughput sequencing, allowing the analysis of the localization of thousands of transcripts at once. By identifying commonalities shared among multiple localized transcripts, these methods have the potential to rapidly expand our understanding of RNA localization mechanisms.

Optimized APEX2 peroxidase-mediated proximity labeling in fast- and slow-growing mycobacteria

Proximity labeling is a technology for tagging proteins and other biomolecules in living cells. These methods use enzymes that generate reactive species whose properties afford high spatial resolution for the localization of proteins to subcellular compartments and the identification of endogenous interaction partners. Here we present the adaptation of the engineered peroxidase APEX2 to proximity labeling in mycobacteria, including the human pathogen Mycobacterium tuberculosis. APEX2 is uniquely suited for general use in bacteria because unlike other proximity labeling enzymes, it does not depend on metabolites like ATP that are found in the cytoplasm, but are absent from the bacterial periplasm. Importantly, we found that in slow-growing mycobacteria like M. tuberculosis, codon usage optimization is required for APEX2 export into the periplasm via fusion to an N-terminal secretion signal. APEX2 expressed from codon-optimized genes affords robust, compartment-specific protein labeling in the cytoplasm and the periplasm of both fast- and slow-growing species. Here we detail these updated constructs and provide an optimized protocol for APEX2-mediated protein labeling in mycobacteria. We expect this approach to be broadly useful for determining the localization of specific proteins, cataloging subcellular proteomes, and identifying interaction partners of 'bait' proteins expressed as fusions to APEX2.

Proximity labeling for investigating protein-protein interactions

The study of protein complexes and protein-protein interactions is of great importance due to their fundamental roles in cellular function. Proximity labeling, often coupled with mass spectrometry, has become a powerful and versatile tool for studying protein-protein interactions by enriching and identifying proteins in the vicinity of a specified protein-of-interest. Here, we describe and compare traditional approaches to investigate protein-protein interactions to current day state-of-the-art proximity labeling methods. We focus on the wide array of proximity labeling strategies and underscore studies using diverse model systems to address numerous biological questions. In addition, we highlight current advances in mass spectrometry-based technology that exhibit promise in improving the depth and breadth of the data acquired in proximity labeling experiments. In all, we show the diversity of proximity labeling strategies and emphasize the broad range of applications and biological inquiries that can be addressed using this technology.

The interactome of CLUH reveals its association to SPAG5 and its co-translational proximity to mitochondrial proteins

BACKGROUND

Mitochondria require thousands of proteins to fulfill their essential function in energy production and other fundamental biological processes. These proteins are mostly encoded by the nuclear genome, translated in the cytoplasm before being imported into the organelle. RNA binding proteins (RBPs) are central players in the regulation of this process by affecting mRNA translation, stability, or localization. CLUH is an RBP recognizing specifically mRNAs coding for mitochondrial proteins, but its precise molecular function and interacting partners remain undiscovered in mammals.

RESULTS

Here we reveal for the first time CLUH interactome in mammalian cells. Using both co-IP and BioID proximity-labeling approaches, we identify novel molecular partners interacting stably or transiently with CLUH in HCT116 cells and mouse embryonic stem cells. We reveal stable RNA-independent interactions of CLUH with itself and with SPAG5 in cytosolic granular structures. More importantly, we uncover an unexpected proximity of CLUH to mitochondrial proteins and their cognate mRNAs in the cytosol. We show that this interaction occurs during the process of active translation and is dependent on CLUH TPR domain.

CONCLUSIONS

Overall, through the analysis of CLUH interactome, our study sheds a new light on CLUH molecular function by revealing new partners and by highlighting its link to the translation and subcellular localization of some mRNAs coding for mitochondrial proteins.

APEX Proximity Labeling of Stress Granule Proteins

Ascorbate peroxidase (APEX)-catalyzed proximity labeling has been recently established as a robust approach to uncover localized protein environments and transient protein-protein interactions occurring across mammalian cells. This molecular tool enables improved identification of individual proteins localized to and involved in specific cellular and subcellular pathways and functions. Engineering of an APEX2 fusion protein into the endogenous loci of proteins of interest enables directed biotinylation of neighboring polypeptides and mRNAs. This results in identification of subcellular and context-dependent proteomes or transcriptomes via quantitative mass spectrometry or RNA sequencing, respectively. Here, we describe the utility of APEX-mediated proximity labeling to recover components of stress granules (SGs) by endogenous tagging of well-established SG-associated proteins.

Analyzing the Composition and Organization of Ribonucleoprotein Complexes by APEX-Seq

Diverse protein-RNA complexes assemble in cells, and their composition and localization regulate the fate of mRNAs. Here, we detail APEX-Seq, an experimental strategy to capture protein-RNA interactions and profile their sub-cellular organization by in vivo proximity labeling and high-throughput sequencing. APEX-Seq relies on direct proximity labeling of RNAs by the peroxidase enzyme APEX2, which can be targeted to specific sites in the cell or fused to proteins of interest. Direct RNA proximity labeling promises new insights into the dynamic behavior of RNA, addressing length scales beyond direct physical contact but too short for microscopy. APEX-Seq should be widely applicable to diverse biological questions and in many cell types, enabling comprehensive studies of the spatial transcriptome and its dynamics over time.

BVES is a novel interactor of ANO5 and regulates myoblast differentiation

BACKGROUND

Anoctamin 5 (ANO5) is a membrane protein belonging to the TMEM16/Anoctamin family and its deficiency leads to the development of limb girdle muscular dystrophy R12 (LGMDR12). However, little has been known about the interactome of ANO5 and its cellular functions.

RESULTS

In this study, we exploited a proximal labeling approach to identify the interacting proteins of ANO5 in C2C12 myoblasts stably expressing ANO5 tagged with BioID2. Mass spectrometry identified 41 unique proteins including BVES and POPDC3 specifically from ANO5-BioID2 samples, but not from BioID2 fused with ANO6 or MG53. The interaction between ANO5 and BVES was further confirmed by co-immunoprecipitation (Co-IP), and the N-terminus of ANO5 mediated the interaction with the C-terminus of BVES. ANO5 and BVES were co-localized in muscle cells and enriched at the endoplasmic reticulum (ER) membrane. Genome editing-mediated ANO5 or BVES disruption significantly suppressed C2C12 myoblast differentiation with little impact on proliferation.

CONCLUSIONS

Taken together, these data suggest that BVES is a novel interacting protein of ANO5, involved in regulation of muscle differentiation.

Defining Proximity Proteomics of Histone Modifications by Antibody-mediated Protein A-APEX2 Labeling

Proximity labeling catalyzed by promiscuous enzymes, such as APEX2, has emerged as a powerful approach to characterize multiprotein complexes and protein–protein interactions. However, current methods depend on the expression of exogenous fusion proteins and cannot be applied to identify proteins surrounding post-translationally modified proteins. To address this limitation, we developed a new method to label proximal proteins of interest by antibody-mediated protein A-ascorbate peroxidase 2 (pA-APEX2) labeling (AMAPEX). In this method, a modified protein is bound in situ by a specific antibody, which then tethers a pA-APEX2 fusion protein. Activation of APEX2 labels the nearby proteins with biotin; the biotinylated proteins are then purified using streptavidin beads and identified by mass spectrometry. We demonstrated the utility of this approach by profiling the proximal proteins of histone modifications including H3K27me3, H3K9me3, H3K4me3, H4K5ac, and H4K12ac, as well as verifying the co-localization of these identified proteins with bait proteins by published ChIP-seq analysis and nucleosome immunoprecipitation. Overall, AMAPEX is an efficient method to identify proteins that are proximal to modified histones.

Using BioID to Characterize the RAS Interactome

Identifying the proteins that associate with RAS oncoproteins has great potential, not only to elucidate how these mutant proteins are regulated and signal but also to identify potential therapeutic targets. Here we describe a detailed protocol to employ proximity labeling by the BioID methodology, which has the advantage of capturing weak or transient interactions, to identify in an unbiased manner those proteins within the immediate vicinity of oncogenic RAS proteins.

Proximity labeling approaches to study protein complexes during virus infection

Cellular compartmentalization of proteins and protein complex formation allow cells to tightly control biological processes. Therefore, understanding the subcellular localization and interactions of a specific protein is crucial to uncover its biological function. The advent of proximity labeling (PL) has reshaped cellular proteomics in infection biology. PL utilizes a genetically modified enzyme that generates a "labeling cloud" by covalently labeling proteins in close proximity to the enzyme. Fusion of a PL enzyme to a specific antibody or a "bait" protein of interest in combination with affinity enrichment mass spectrometry (AE-MS) enables the isolation and identification of the cellular proximity proteome, or proxisome. This powerful methodology has been paramount for the mapping of membrane or membraneless organelles as well as for the understanding of hard-to-purify protein complexes, such as those of transmembrane proteins. Unsurprisingly, more and more infection biology research groups have recognized the potential of PL for the identification of host-pathogen interactions. In this chapter, we introduce the enzymes commonly used for PL labeling as well as recent promising advancements and summarize the major achievements in organelle mapping and nucleic acid PL. Moreover, we comprehensively describe the research on host-pathogen interactions using PL, giving special attention to studies in the field of virology.

In vivo interactome profiling by enzyme-catalyzed proximity labeling

Enzyme-catalyzed proximity labeling (PL) combined with mass spectrometry (MS) has emerged as a revolutionary approach to reveal the protein-protein interaction networks, dissect complex biological processes, and characterize the subcellular proteome in a more physiological setting than before. The enzymatic tags are being upgraded to improve temporal and spatial resolution and obtain faster catalytic dynamics and higher catalytic efficiency. In vivo application of PL integrated with other state of the art techniques has recently been adapted in live animals and plants, allowing questions to be addressed that were previously inaccessible. It is timely to summarize the current state of PL-dependent interactome studies and their potential applications. We will focus on in vivo uses of newer versions of PL and highlight critical considerations for successful in vivo PL experiments that will provide novel insights into the protein interactome in the context of human diseases.

BirA*-protein A fusion protein based BioEnhancer amplifies western blot immunosignal

Western blot (protein immunoblot) is a widely used analytical technique in molecular biology. Utilizing the specific recognizing primary antibody, proteins immobilized on various matrix are investigated by subsequent visualization steps, for example, by the horse radish peroxidase conjugated secondary antibody incubation. Methods to improve the sensitivity in protein identification or quantification are appreciated by biochemists. Herein, we report a new strategy to amplify Western blot signals by constructing a probe with proximal labeling and IgG targeting abilities. The R118G mutation attenuated the biotin-AMP binding affinity of the bacterial biotin ligase BirA*, offering a proximity-dependent labeling ability, which could be used as a signal amplifier. We built a BirA*-protein A fusion protein (BioEnhancer) that specifically binds to IgG and adds biotin tags to its proximal amine groups, enhancing the immunosignal of target proteins. In our experiments, the BioEnhancer system amplified the immunosignal by tenfold compared to the standard western blot. Additionally, our strategy could couple with other signal enhancement methods to further increase the western blot sensitivity.

Biotin Proximity Labeling for Protein-Protein Interaction Discovery: The BioID Method

Biotinylation identification (BioID) is a method designed to provide new cellular location and functional knowledge of the protein of interest through the identification of those proteins surrounding and in direct contact. A biotin ligase is fused onto the protein of interest and expressed in cells where it can biotinylate even short-lived transient protein complexes. In addition, due to the proximity labeling nature of the experiment, cellular localization and functional enrichment information can also be obtained. Since labeling occurs only after the addition of biotin, temporal relationships and localization changes (e.g., cytoplasmic to nuclear) can also be identified. Labeled proteins are easily purified, and contaminants minimized, using the strong interaction between biotin and streptavidin. Mass spectrometry analysis of the purified proteins allows for the identification of potential interactors for further validation and characterization.

The evolving capabilities of enzyme-mediated proximity labeling

The subcellular organization of proteins and RNA molecules is crucial for their proper functions. Over the past decade, both ligase-mediated and peroxidase-mediated proximity labeling (PL) techniques have been developed to map biomolecules at near-nanometer spatial resolution and subminute temporal resolution. These methods are shedding light on the spatial arrangement of proteome and transcriptome in their native context. Here, we review the recent evolution and applications of PL techniques, compare and contrast the two classes of methods, and highlight emerging trends and future opportunities.

RNA Interactome Identification via RNA-BioID in Mouse Embryonic Fibroblasts

Cytoplasmic localization of mRNAs is common to all organisms and serves the spatial expression of genes. Cis-acting RNA signals (mostly found in the mRNA's 3'-UTR), called zipcodes recruit trans-acting RNA-binding proteins that facilitate the localization of the mRNA. UV-cross-linking or affinity purification has been applied to identify such proteins but suffer from the need for stable RNA-protein binding or direct contact of protein and RNA. To identify stably or transiently interacting proteins that directly or indirectly associated with the localization elements and the body of the mRNA, we developed an in vivo proximity labeling method we call RNA-BioID. In RNA-BioID, we tether a fusion of the BirA* biotin ligase and the MS2 coat protein (MCP) at the 3'-UTR of MS2-tagged β-actin mRNA in vivo. Exposing BirA* expressing cells to biotin in the media and induces biotinylation of β-actin mRNA-associated proteins that can be isolated with streptavidin beads. This technique allowed us to identify by mass spectrometry analysis the β-actin mRNA 3'-UTR-interacting proteome in fibroblasts. The protocol can be useful to identify the interacting proteome of any mRNA in mammalian cells.

Methyl Adenine Identification (MadID): High-Resolution Detection of Protein-DNA Interactions

Mapping the binding sites of DNA- or chromatin-interacting proteins is essential to understand many essential biological processes. Methyl Adenine Identification (MadID) is a proximity methylation-based assay that allows the visualization, quantification, and identification of binding sites from DNA-interacting proteins in eukaryotic cells. Chromatin-binding proteins of interest are fused to the newly described bacterial methyltransferase M.EcoGII. This enzyme catalyzes the methylation of adenine residues with no sequence specificity. Consequently, adenines within and in the vicinity of the protein binding sites will be decorated with a methyl group (m6A), a modification that can be further detected using different methods. M.EcoGII-dependent DNA methylation can be monitored in situ using immunostaining, at the genome-wide level using a combination of m6A-specific immunoprecipitation and whole-genome sequencing, or locally at DNA regions of interest purified by chromatin immunoprecipitation or probe-based capture techniques. MadID is conceptually similar to DNA adenine methyltransferase identification (DamID) that relies on the methylation of GATC motifs. However, MadID provides a higher resolution, deeper coverage, and opens ways for identification of binding sites in genomic regions that were largely inaccessible such as telomeres, centromeres, and repeated elements.

Preparation of Recombinant Siglecs and Identification of Their Ligands

Siglecs are transmembrane receptor-like vertebrate lectins that recognize glycans containing sialic acid. Most Siglecs also interact with intracellular signal transduction molecules, and modulate immune responses. Recombinant soluble Siglecs fused with the fragment crystallizable (Fc) region of immunoglobulin G (Siglec-Fc) are a versatile tool for the investigation of Siglec functions. We describe protocols for the production of recombinant Siglec-Fc, the analysis of expression of Siglec ligands by flow cytometry, and the identification of the Siglec ligand candidates based on proximity labeling.

Proximity Labeling for the Identification of Coronavirus-Host Protein Interactions

Biotin-based proximity labeling circumvents major pitfalls of classical biochemical approaches to identify protein-protein interactions. It consists of enzyme-catalyzed biotin tags ubiquitously apposed on proteins located in close proximity of the labeling enzyme, followed by affinity purification and identification of biotinylated proteins by mass spectrometry. Here we outline the methods by which the molecular microenvironment of the coronavirus replicase/transcriptase complex (RTC), i.e., proteins located within a close perimeter of the RTC, can be determined by different proximity labeling approaches using BirA_R118G (BioID), TurboID, and APEX2. These factors represent a molecular signature of coronavirus RTCs and likely contribute to the viral life cycle, thereby constituting attractive targets for the development of antiviral intervention strategies.

Proximity labeling reveals novel interactomes in live Drosophila tissue

Gametogenesis is dependent on intercellular communication facilitated by stable intercellular bridges connecting developing germ cells. During Drosophila oogenesis, intercellular bridges (referred to as ring canals; RCs) have a dynamic actin cytoskeleton that drives their expansion to a diameter of 10 μm. Although multiple proteins have been identified as components of RCs, we lack a basic understanding of how RC proteins interact together to form and regulate the RC cytoskeleton. Thus, here, we optimized a procedure for proximity-dependent biotinylation in live tissue using the APEX enzyme to interrogate the RC interactome. APEX was fused to four different RC components (RC-APEX baits) and 55 unique high-confidence prey were identified. The RC-APEX baits produced almost entirely distinct interactomes that included both known RC proteins and uncharacterized proteins. A proximity ligation assay was used to validate close-proximity interactions between the RC-APEX baits and their respective prey. Furthermore, an RNA interference screen revealed functional roles for several high-confidence prey genes in RC biology. These findings highlight the utility of enzyme-catalyzed proximity labeling for protein interactome analysis in live tissue and expand our understanding of RC biology.

BioID: A Method to Generate a History of Protein Associations

Proximity-dependent labeling methods for detecting candidate protein-protein interactions (PPIs) or mapping the protein constituency of subcellular domains have become increasingly utilized by the scientific community. One such method, BioID, allows for the identification of not only strong interactions but also weak and transient associations between a protein of interest (POI) or targeting motif and adjacent proteins. A promiscuous biotin ligase is fused to a POI or targeting motif, expressed in living cells, and induced to biotinylate proximal proteins during a defined labeling period by biotin supplementation. This generates a history of protein-protein associations that occurred with the POI or the protein constituency within a discrete subcellular domain during the labeling period. Biotinylated proteins are subsequently isolated, identified via mass spectrometry, and investigated as candidate interactors with the POI or as constituents within a subcellular domain. The BioID method has been utilized by numerous research groups and is continually being optimized, applied to new models, and modified for use in novel applications. Here we describe a protocol by which a BioID fusion protein can be validated and utilized for BioID pull-downs.

Antibody-Driven Proximity Labeling in Fixed Tissues

Protein function often depends on assemblies and interactions. These show complex spatial and temporal organization within the cell. Analysis of protein function can be greatly assisted by grouping proteins with their neighbors. Rather than relying on affinity, proximity labeling targets proteins proximal to the target of interest. We describe a protocol for antibody-guided deposition of tags in fixed and permeabilized cell lines and primary human tissue samples.

Direct Identification of Biotinylated Proteins from Proximity Labeling (Spot-BioID)

Recently, proximity labeling has been developed to map spatially localized proteomes in live cells. Usually, these methods employ enzymatic biotinylation of the proximal proteins with reactive biotin species. The labeled proteins may contain biotinylated modifications, which can be enriched by streptavidin beads through affinity purification. However, during the bead enrichment process, unlabeled proteins can be enriched to have specific binding affinity toward the biotinylated proteins or high binding affinity to the bead surface. If the unlabeled proteins remain attached to the beads after washing and are analyzed by mass spectrometry (MS) using the conventional workflow for the unlabeled peptidome, they would appear as proximal proteins in the targeted space. However, the unlabeled proteins, including the specific interaction partners of the biotinylated proteins, are false positives for proximity labeling. Including the unlabeled proteome in the identification list for proximity labeling does not provide a clear picture of the local proteome in the targeted space. This chapter is a detailed protocol of the first direct identification method (Spot-BioID) for identifying biotin-labeled proteomes of promiscuous biotin ligase (pBirA) labeling.

Identification of Lipid Droplet Proteomes by Proximity Labeling Proteomics Using APEX2

Lipid droplets (LDs) are ubiquitous lipid storage organelles composed of a neutral lipid core surrounded by a phospholipid monolayer that is decorated with integral and peripheral proteins. Accurate identification of LD proteins using biochemical fractionation methods has been challenging due to the presence of contaminant proteins from co-fractionating organelles. Here, we describe a method to identify high-confidence LD proteomes that employs an engineered ascorbate peroxidase (APEX2) to induce spatially and temporally restricted biotinylation of LD proteins. This proximity labeling method can be broadly applied to define the composition of the LD proteome in any cultured cell line and can be utilized to examine LD proteome dynamics.

APEX Peroxidase-Catalyzed Proximity Labeling and Multiplexed Quantitative Proteomics

Peroxidase-catalyzed proximity labeling is a powerful technique for defining the molecular environment of proteins in vivo. Expressing a protein of interest fused to a modified plant peroxidase (APEX2) allows labeling of nearby polypeptides. Addition of hydrogen peroxide (H₂O₂) and biotin-tyramide (biotin-phenol) generates short-lived radicals around the peroxidase. Labeling is thus restricted to proteins in close proximity, providing a snapshot of the local environment around the APEX2 fusion protein. Combined with an initial perturbation, progressive changes in interaction partners can be tracked, e.g., after drug treatment. Multiplexed quantitative mass spectrometry permits the parallel analysis of several experimental replicates or of up to 11 time points. Here we describe the denaturing purification of biotin-labeled proteins with magnetic streptavidin beads, and subsequent sample preparation for multiplexed quantitative mass spectrometry. Proximity-labeled proteins are enriched under strong denaturing conditions. Tryptic on-bead digest of purified proteins is combined with tandem mass tag peptide labeling (TMT), alkaline reversed-phase peptide fractionation, and SPS MS³ mass spectrometry. This analysis pipeline enables studies of complex protein environment changes in perturbed biological systems, as well as comparative studies of functional protein proximity in different cell lines. Through multiplexing, hundreds of proteins can be quantified in each experimental condition in parallel.

Proximity Labeling of the Chlamydia trachomatis Inclusion Membrane

In the study of intracellular bacteria that reside within a membrane-bound vacuole, there are many questions related to how prokaryotic or eukaryotic transmembrane or membrane-associated proteins are organized and function within the membranes of these pathogen-containing vacuoles. Yet this host-pathogen interaction interface has proven difficult to experimentally resolve. For example, one method to begin to understand protein function is to determine the protein-binding partners; however, examining protein-protein interactions of hydrophobic transmembrane proteins is not widely successful using standard immunoprecipitation or coimmunoprecipitation techniques. In these scenarios, the lysis conditions that maintain protein-protein interactions are not compatible with solubilizing hydrophobic membrane proteins. In this chapter, we outline two proximity labeling systems to circumvent these issues to study (1) eukaryotic proteins that localize to the membrane-bound inclusion formed by Chlamydia trachomatis using BioID, and (2) chlamydial proteins that are inserted into the inclusion membrane using APEX2. BioID is a promiscuous biotin ligase to tag proximal proteins with biotin. APEX2 is an ascorbate peroxidase that creates biotin-phenoxyl radicals to label proximal proteins with biotin or 3,3'-diaminobenzidine intermediates for examination of APEX2 labeling of subcellular structures using transmission electron microscopy. We present how these methods were originally conceptualized and developed, so that the user can understand the strengths and limitations of each proximity labeling system. We discuss important considerations regarding experimental design, which include careful consideration of background conditions and statistical analysis of mass spectrometry results. When applied in the appropriate context with adequate controls, these methods can be powerful tools toward understanding membrane interfaces between intracellular pathogens and their hosts.

Establishing Cell Culture-Based Experimental Setups for Proximity Labeling Using Ascorbate Peroxidase (APEX)

Proximity labeling by ascorbate peroxidase (APEX) requires appropriate experimental setups that generate sufficient signal over background as a prerequisite for downstream analyses by mass spectrometry. Cell culture-based systems are easily accessible, yet, for proximity labeling of small structures must be carefully optimized in order to give satisfying results. How to establish and characterize APEX cell lines will be the topic of this chapter.

Parallel Exploration of Interaction Space by BioID and Affinity Purification Coupled to Mass Spectrometry

Complete understanding of cellular function requires knowledge of the composition and dynamics of protein interaction networks, the importance of which spans all molecular cell biology fields. Mass spectrometry-based proteomics approaches are instrumental in this process, with affinity purification coupled to mass spectrometry (AP-MS) now widely used for defining interaction landscapes. Traditional AP-MS methods are well suited to providing information regarding the temporal aspects of soluble protein-protein interactions, but the requirement to maintain protein-protein interactions during cell lysis and AP means that both weak-affinity interactions and spatial information is lost. A more recently developed method called BioID employs the expression of bait proteins fused to a nonspecific biotin ligase, BirA*, that induces in vivo biotinylation of proximal proteins. Coupling this method to biotin affinity enrichment and mass spectrometry negates many of the solubility and interaction strength issues inherent in traditional AP-MS methods, and provides unparalleled spatial context for protein interactions. Here we describe the parallel implementation of both BioID and FLAG AP-MS allowing simultaneous exploration of both spatial and temporal aspects of protein interaction networks.