Proteomic mapping of mitochondria in living cells via spatially restricted enzymatic tagging

A proteomic and functional view of intrabacterial lipid inclusion biogenesis in mycobacteria

During infection and granuloma formation, pathogenic mycobacteria store triacylglycerol as intrabacterial lipid inclusions (ILIs). This accumulation of nutrients provides a carbon source for bacterial persistence and slows down intracellular metabolism. Mycobacterium abscessus (Mab), a rapidly growing non-tuberculous actinobacterium, produces ILI throughout its infection cycle. Here, Mab was used as a model organism to identify proteins associated with ILI accumulation on a global scale. By using the APEX2 proximity labeling method in an in vitro model for ILI accumulation, we identified 228 proteins possibly implicated in ILI biosynthesis. Fluorescence microscopy of strains overexpressing eight ILI-associated proteins (IAP) candidates fused to superfolder green fluorescent protein showed co-localization with ILI. Genetic inactivation of these potential IAP-encoding genes and subsequent lipid analysis emphasized the importance of MAB_3486 and MAB_4532c as key enzymes influencing triacylglycerol storage. This study underscores the dynamic process of ILI biogenesis and advances our understanding of lipid metabolism in pathogenic mycobacteria. Identifying major IAP in lipid accumulation offers new therapeutic perspectives to control the growth and persistence of pathogenic mycobacteria.

IMPORTANCE

This study sheds light into the complex process of intracellular lipid accumulation and storage in the survival and persistence of pathogenic mycobacteria, which is of clinical relevance. By identifying the proteins involved in the formation of intrabacterial lipid inclusions and revealing their impact on lipid metabolism, our data may lead to the development of new therapeutic strategies to target and control pathogenic mycobacteria, potentially improving outcomes for patients with mycobacterial infections.

Profiling Proteins Involved in Peroxynitrite Homeostasis Using ROS/RNS Conditional Proteomics

Peroxynitrite (ONOO-), the product of the diffusion-controlled reaction of superoxide (O2•-) with nitric oxide (NO•), plays a crucial role in oxidative and nitrative stress and modulates key physiological processes such as redox signaling. While biological ONOO- is conventionally analyzed using 3-nitrotyrosine antibodies and fluorescent sensors, such probes lack specificity and sensitivity, making high-throughput and comprehensive profiling of ONOO--associated proteins challenging. In this study, we used a conditional proteomics approach to investigate ONOO- homeostasis by identifying its protein neighbors in cells. We developed Peroxynitrite-responsive protein Labeling reagents (Porp-L) and, for the first time, discovered 2,6-dichlorophenol as an ideal moiety that can be selectively and rapidly activated by ONOO- for labeling of proximal proteins. The reaction of Porp-L with ONOO- generated several short-lived reactive intermediates that can modify Tyr, His, and Lys residues on the protein surface. We have demonstrated the Porp-L-based conditional proteomics in immune-stimulated macrophages, which indeed identified proteins known to be involved in the generation and modification of ONOO- and revealed the endoplasmic reticulum (ER) as a ONOO- hot spot. Moreover, we discovered a previously unknown role for Ero1a, an ER-resident protein, in the formation of ONOO-. Overall, Porp-L represent a promising research tool for advancing our understanding of the biological roles of ONOO-.

RNA-binding proteins and glycoRNAs form domains on the cell surface for cell-penetrating peptide entry

The composition and organization of the cell surface determine how cells interact with their environment. Traditionally, glycosylated transmembrane proteins were thought to be the major constituents of the external surface of the plasma membrane. Here, we provide evidence that a group of RNA-binding proteins (RBPs) is present on the surface of living cells. These cell-surface RBPs (csRBPs) precisely organize into well-defined nanoclusters enriched for multiple RBPs and glycoRNAs, and their clustering can be disrupted by extracellular RNase addition. These glycoRNA-csRBP clusters further serve as sites of cell-surface interaction for the cell-penetrating peptide trans-activator of transcription (TAT). Removal of RNA from the cell surface, or loss of RNA-binding activity by TAT, causes defects in TAT cell internalization. Together, we provide evidence of an expanded view of the cell surface by positioning glycoRNA-csRBP clusters as a regulator of communication between cells and the extracellular environment.

Global organelle profiling reveals subcellular localization and remodeling at proteome scale

Defining the subcellular distribution of all human proteins and their remodeling across cellular states remains a central goal in cell biology. Here, we present a high-resolution strategy to map subcellular organization using organelle immunocapture coupled to mass spectrometry. We apply this workflow to a cell-wide collection of membranous and membraneless compartments. A graph-based analysis assigns the subcellular localization of over 7,600 proteins, defines spatial networks, and uncovers interconnections between cellular compartments. Our approach can be deployed to comprehensively profile proteome remodeling during cellular perturbation. By characterizing the cellular landscape following HCoV-OC43 viral infection, we discover that many proteins are regulated by changes in their spatial distribution rather than by changes in abundance. Our results establish that proteome-wide analysis of subcellular remodeling provides key insights for elucidating cellular responses, uncovering an essential role for ferroptosis in OC43 infection. Our dataset can be explored at organelles.czbiohub.org.

Small-Molecule Benzo-Phenoselenazine Derivatives for Multi-Subcellular Biomolecule Profiling

Elucidating the subcellular localization of RNAs and proteins is fundamental to understanding their biological functions. Genetically encoded proteins/enzymes provide an attractive approach to target many proteins of interest, but are limited to specific cell lines. Although small-molecule-based methods have been explored, a comprehensive system for profiling multiple locations in living cells, comparable to fusion-protein techniques, is yet to be established. In this study, we introduce a novel proximity labeling strategy employing a suite of small molecules derived from benzo-phenoselenazine (e.g., selenium-containing Nile Blue [SeNB]), which achieves proximity labeling through singlet oxygen generation upon near-infrared light activation in the presence of propargylamine. These SeNB compounds allow for selective labeling of RNAs and proteins within living cells, exhibiting a distinct preference for organelle membranes, which are systematically investigated via in vitro, computational, and in cellulo examinations. Our findings highlight the capabilities of SeNB derivatives as wash-free and genetics-free approaches to illuminate the subcellular localization of biological molecules with deep penetration and high spatial resolution. Moreover, SeNB derivatives are capable of elucidating inter-organelle interactions at the molecular level, as evidenced by proteomic and transcriptomic analyses, thus holding significant potential for advancing our understanding of cellular processes related to disease progression and therapeutic development.

Diverse routes to mitophagy governed by ubiquitylation and mitochondrial import

The selective removal of mitochondria by mitophagy proceeds via multiple mechanisms and is essential for human well-being. The PINK1/Parkin and NIX/BNIP3 pathways are strongly linked to mitochondrial dysfunction and hypoxia, respectively. Both are regulated by ubiquitylation and mitochondrial import. Recent studies have elucidated how the ubiquitin kinase PINK1 acts as a sensor of mitochondrial import stress through stable interaction with a mitochondrial import supercomplex. The stability of BNIP3 and NIX is regulated by the SCFFBXL4 ubiquitin ligase complex. Substrate recognition requires an adaptor molecule, PPTC7, whose availability is limited by mitochondrial import. Unravelling the functional implications of each mode of mitophagy remains a critical challenge. We propose that mitochondrial import stress prompts a switch between these two pathways.

Mapping C. difficile TcdB interactions with host cell-surface and intracellular factors using proximity-dependent biotinylation labeling

Many bacterial toxins exert their cytotoxic effects by enzymatically inactivating one or more cytosolic targets in host cells. To reach their intracellular targets, these toxins possess functional domains or subdomains that interact with and exploit various host factors and biological processes. Despite great progress in identifying many of the key host factors involved in the uptake of toxins, significant knowledge gaps remain as to how partially characterized and newly discovered microbial toxins exploit host factors or processes to intoxicate target cells. Proximity-dependent biotinylation (e.g., BioID) is a powerful method to identify nearby host factors in living cells, offering the potential to identify host targets of microbial toxins. Here, we used BioID to interrogate proximal interactors of the multi-domain Clostridioides difficile TcdB toxin. Expressed fusions of TurboID to different fragments of TcdB identified several high-confidence proteins in the cytosol, including members of the Rho GTPase signaling network and the actin cytoskeletal network. Additionally, we developed an extracellular proximity labeling method using recombinant TurboID-toxin chimeras, which uncovered a limited number of cell-surface targets including LRP1, which was previously identified as a cell-surface receptor of TcdB. Our work reveals surface receptors and intracellular components exploited by bacterial toxins, highlighting key vulnerabilities in host cells.IMPORTANCEBacterial toxins are the causative agents of many human diseases. Further characterizing the intoxication mechanisms of these proteins is important for the development of vaccines and treatments for toxin-mediated disease. Proximity-dependent biotinylation approaches offer an orthogonal approach to complement genetic screens. Here, we evaluate the potential of this method to identify host-toxin interactions on the cell surface and in the cytosol, where the toxin modifies essential host targets. Critically, we have highlighted several limitations of this method as applied to protein toxins, which are important for researchers to weigh when considering this technique for exotoxin studies.

Understanding the molecular diversity of synapses

Synapses are composed of thousands of proteins, providing the potential for extensive molecular diversity to shape synapse type-specific functional specializations. In this Review, we explore the landscape of synaptic diversity and describe the mechanisms that expand the molecular complexity of synapses, from the genotype to the regulation of gene expression to the production of specific proteoforms and the formation of localized protein complexes. We emphasize the importance of examining every molecular layer and adopting a systems perspective to understand how these interconnected mechanisms shape the diverse functional and structural properties of synapses. We explore current frameworks for classifying synapses and methodologies for investigating different synapse types at varying scales, from synapse-type-specific proteomics to advanced imaging techniques with single-synapse resolution. We highlight the potential of synapse-type-specific approaches for integrating molecular data with cellular functions, circuit organization and organismal phenotypes to enable a more holistic exploration of neuronal phenomena across different scales.

Repression of PFKFB3 sensitizes ovarian cancer to PARP inhibitors by impairing homologous recombination repair

BACKGROUND

Ovarian cancer (OC), particularly high-grade serous ovarian carcinoma (HGSOC), is the leading cause of mortality from gynecological malignancies worldwide. Despite the initial effectiveness of treatment, acquired resistance to poly(ADP-ribose) polymerase inhibitors (PARPis) represents a major challenge for the clinical management of HGSOC, highlighting the necessity for the development of novel therapeutic strategies. This study investigated the role of 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3), a pivotal regulator of glycolysis, in PARPi resistance and explored its potential as a therapeutic target to overcome PARPi resistance.

METHODS

We conducted in vitro and in vivo experiments to assess the role of PFKFB3 in OC and its impact on PARPi resistance. We analyzed PFKFB3 expression and activity in primary OC tissues and cell lines using western blotting and immunohistochemistry. CRISPR-Cas9 and pharmacological inhibitors were employed to inhibit PFKFB3, and the effects on PARPi resistance, homologous recombination (HR) repair efficiency, and DNA damage were evaluated. RNA sequencing and proximity labeling were employed to identify the molecular mechanisms underlying PFKFB3-mediated resistance. The in vivo efficacy of PARPi and PFK158 combination therapy was evaluated in OC xenograft models.

RESULTS

PFKFB3 activity was significantly elevated in OC tissues and associated with PARPi resistance. Inhibition of PFKFB3, both genetically and pharmacologically, sensitized OC cells to PARPis, impaired HR repair and increased DNA damage. Proximity labeling revealed replication protein A3 (RPA3) as a novel PFKFB3-binding protein involved in HR repair. In vivo, the combination of PFK158 and olaparib significantly inhibited tumor growth, increased DNA damage, and induced apoptosis in OC xenografts without exacerbating adverse effects.

CONCLUSIONS

Our findings demonstrate that PFKFB3 is crucial for PARPi resistance in OC. Inhibiting PFKFB3 sensitizes HR-proficient OC cells to PARPis by impairing HR repair, leading to increased DNA damage and apoptosis. PFKFB3 represents a promising therapeutic target for overcoming PARPi resistance and improving outcomes in OC patients.

Isolation of Proteins on Chromatin Reveals Signaling Pathway-Dependent Alterations in the DNA-Bound Proteome

Signaling pathways often convergence on transcription factors and other DNA-binding proteins that regulate chromatin structure and gene expression, thereby governing a broad range of essential cellular functions. However, the repertoire of DNA-binding proteins is incompletely understood even for the best-characterized pathways. Here, we optimized a strategy for the isolation of Proteins on Chromatin (iPOC) exploiting tagged nucleoside analogs to label the DNA and capture associated proteins, thus enabling the comprehensive, sensitive, and unbiased characterization of the DNA-bound proteome. We then applied iPOC to investigate chromatome changes upon perturbation of the cancer-relevant PI3K-AKT-mTOR pathway. Our results show distinct dynamics of the DNA-bound proteome upon selective inhibition of PI3K, AKT, or mTOR, and we provide evidence how this signaling cascade regulates the DNA-bound status of SUZ12, thereby modulating H3K27me3 levels. Collectively, iPOC is a powerful approach to study the composition of the DNA-bound proteome operating downstream of signaling cascades, thereby both expanding our knowledge of the mechanism of action of the pathway and unveiling novel chromatin modulators that can potentially be targeted pharmacologically.

Temporal Microenvironment Mapping (μMap) of Intracellular Trafficking Pathways of Cell-Penetrating Peptides Across the Blood-Brain Barrier

Peptides play critical roles in cellular functions such as signaling and immune regulation, and peptide-based biotherapeutics show great promise for treating various diseases. Among these, cell-penetrating peptides (CPPs) are particularly valuable for drug delivery due to their ability to cross cell membranes. However, the mechanisms underlying CPP-mediated transport, especially across the blood-brain barrier (BBB), remain poorly understood. Mapping intracellular CPP pathways is essential for advancing drug delivery systems, particularly for neurological disorders, as understanding how CPPs navigate the complex environment of the BBB could enable the development of more effective brain-targeted therapies. Here, we leverage a nanoscale proximity labeling technique, termed μMap, to precisely probe the peptide-receptor interactions and intracellular trafficking mechanisms of photocatalyst-tagged CPPs. The unique advantage of the μMap platform lies in the ability to control the timing of light exposure, which enables the collection of time-gated data, depending on when the blue light is applied to the cells. By harnessing this spatiotemporal precision, we can uncover key peptide-receptor interactions and cellular processes, setting the stage for new innovations in drug design and brain-targeted therapies.

Two-Level Spatially Localized Proximity Labeling for Cross-Biological-Hierarchy Measurement and Manipulation

Proximity labeling (PL) has emerged as a powerful technique for the in situ elucidation of biomolecular interaction networks. However, PL methods generally rely on single-biological-hierarchy control of spatial localization at the labeling site, which limits their application in multi-tiered biological systems. Here, we introduced another enzymatic reaction upstream of an enzyme-based PL reaction and targeted the two enzymes to markers indicating different biological hierarchies, establishing a two-level spatially localized proximity labeling (P2L) platform for in situ molecular measurement and manipulation. Using the cellular- and glycan-level as the hierarchical models, we demonstrated the ability of P2L to efficiently execute a two-step logic operation and to discriminate target cells with different levels of glycosylation within mixed cell populations. By mounting clickable handles via P2L, we reprogrammed the robust covalent assembly of cells at designated sites. The combination of P2L with proteomics led to the profiling of the protein microenvironment of specific glycans on target cells, revealing changes in tumor-cell-surface interactions under immune pressure from a glycan perspective. P2L provides not only a solution for revealing the heterogeneity of biological systems, but also new insights in the fields of intelligent logic computation, enzyme engineering, tissue engineering, etc.

Proximity Labeling: Precise Proteomics Technology for Mapping Receptor Protein Neighborhoods at the Cancer Cell Surface

Cell surface receptors are pivotal to cancer cell transformation, disease progression, metastasis, early detection, targeted therapy, drug responses, and clinical outcomes. Since they coordinate complex signaling communication networks in the tumor microenvironment, mapping the physical interaction partners of cell surface receptors in vivo is vital for understanding their roles, functional states, and suitability as therapeutic targets. Yet traditional methods like immunoprecipitation and affinity purification-mass spectrometry often fail to detect key but weak or transient receptor-protein interactions. Proximity labeling, a cutting-edge proteomics technology, addresses these technical challenges by enabling precise mapping of protein neighborhoods around a receptor target on the cell surface of cancer cells. This technique has been successfully applied in vitro and in vivo for proteomic mapping across various model systems. This review explores the fundamental principles, technologies, advantages, limitations, and applications of proximity labeling in cancer biology, focusing on mapping receptor microenvironments. By advancing mechanistic insights into cancer cell receptor signaling mechanisms, proximity labeling is poised to transform cancer research, improve targeted therapies, and illuminate avenues to overcome drug resistance.

A subcellular selective APEX2-based proximity labeling used for identifying mitochondrial G-quadruplex DNA binding proteins

G-quadruplexes (G4s), as an important type of non-canonical nucleic acid structure, have received much attention because of their regulations of various biological processes in cells. Identifying G4s-protein interactions is essential for understanding G4s-related biology. However, current strategies for exploring G4 binding proteins (G4BPs) include pull-down assays in cell lysates or photoaffinity labeling, which are lack of sufficient spatial specificity at the subcellular level. Herein, we develop a subcellular selective APEX2-based proximity labeling strategy to investigate the interactome of mitochondrial DNA (mtDNA) G4s in living cells. By this method, we have identified several mtDNA G4BPs. Among them, a previously unrecognized mtDNA G4BP, DHX30 has been selected as an example to explore its important biofunctions. DHX30 localizes both in cytoplasm and mitochondria and can resolve mtDNA G4s. Further studies have demonstrated that DHX30 unfolds mtDNA G4 in living cells, which results in a decrease in glycolysis activity of tumor cells. Besides, RHPS4, a known mtDNA G4 stabilizer, will reverse this inhibition effect. Benefiting from the high spatiotemporal resolution and the ability of genetically encoded systems to perform the labeling with exquisite specificity within living cells, our approach can realize the identification of subcellular localized G4BPs. Our work provides a novel strategy to map protein interactions of specific nucleic acid features in subcellular compartments of living cells.

Multi-modal comparison of molecular programs driving nurse cell death and clearance in Drosophila melanogaster oogenesis

The death and clearance of nurse cells is a consequential milestone in Drosophila melanogaster oogenesis. In preparation for oviposition, the germline-derived nurse cells bequeath to the developing oocyte all their cytoplasmic contents and undergo programmed cell death. The death of the nurse cells is controlled non-autonomously and is precipitated by epithelial follicle cells of somatic origin acquiring a squamous morphology and acidifying the nurse cells externally. Alternatively, stressors such as starvation can induce the death of nurse cells earlier in mid-oogenesis, manifesting apoptosis signatures, followed by their engulfment by epithelial follicle cells. To identify and contrast the molecular pathways underlying these morphologically and genetically distinct cell death paradigms, both mediated by follicle cells, we compared their genome-wide transcriptional, translational, and secretion profiles before and after differentiating to acquire a phagocytic capability, as well as during well-fed and nutrient-deprived conditions. By coupling the GAL4-UAS system to Translating Ribosome Affinity Purification (TRAP-seq) and proximity labeling (HRP-KDEL) followed by Liquid Chromatography tandem mass-spectrometry, we performed high-throughput screens to identify pathways selectively activated or repressed by follicle cells to employ nurse cell-clearance routines. We also integrated two publicly available single-cell RNAseq atlases of the Drosophila ovary to define the transcriptomic profiles of follicle cells. In this report, we describe the genes and major pathways identified in the screens and the striking consequences to Drosophila melanogaster oogenesis caused by RNAi perturbation of prioritized candidates. To our knowledge, our study is the first of its kind to comprehensively characterize two distinct apoptotic and non-apoptotic cell death paradigms in the same multi-cellular system. Beyond molecular differences in cell death, our investigation may also provide insights into how key systemic trade-offs are made between survival and reproduction when faced with physiological stress.

Allosteric regulation of the tyrosine phosphatase PTP1B by a protein-protein interaction

The rapid identification of protein-protein interactions has been significantly enabled by mass spectrometry (MS) proteomics-based methods, including affinity purification-MS, crosslinking-MS, and proximity-labeling proteomics. While these methods can reveal networks of interacting proteins, they cannot reveal how specific protein-protein interactions alter protein function or cell signaling. For instance, when two proteins interact, there can be emergent signaling processes driven purely by the individual activities of those proteins being co-localized. Alternatively, protein-protein interactions can allosterically regulate function, enhancing or suppressing activity in response to binding. In this work, we investigate the interaction between the tyrosine phosphatase PTP1B and the adaptor protein Grb2, which have been annotated as binding partners in a number of proteomics studies. This interaction has been postulated to co-localize PTP1B with its substrate IRS-1 by forming a ternary complex, thereby enhancing the dephosphorylation of IRS-1 to suppress insulin signaling. Here, we report that Grb2 binding to PTP1B also allosterically enhances PTP1B catalytic activity. We show that this interaction is dependent on the proline-rich region of PTP1B, which interacts with the C-terminal SH3 domain of Grb2. Using NMR spectroscopy and hydrogen-deuterium exchange mass spectrometry (HDX-MS) we show that Grb2 binding alters PTP1B structure and/or dynamics. Finally, we use MS proteomics to identify other interactors of the PTP1B proline-rich region that may also regulate PTP1B function similarly to Grb2. This work presents one of the first examples of a protein allosterically regulating the enzymatic activity of PTP1B and lays the foundation for discovering new mechanisms of PTP1B regulation in cell signaling.

Photoproximity labeling of endogenous receptors in the live mouse brain in minutes

Understanding how protein-protein interaction networks in the brain give rise to cognitive functions necessitates their characterization in live animals. However, tools available for this purpose require potentially disruptive genetic modifications and lack the temporal resolution necessary to track rapid changes in vivo. Here we leverage affinity-based targeting and photocatalyzed singlet oxygen generation to identify neurotransmitter receptor-proximal proteins in the live mouse brain using only small-molecule reagents and minutes of photoirradiation. Our photooxidation-driven proximity labeling for proteome identification (named PhoxID) method not only recapitulated the known interactomes of three endogenous neurotransmitter receptors (α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR), inhibitory γ-aminobutyric acid type A receptor and ionotropic glutamate receptor delta-2) but also uncovered age-dependent shifts, identifying NECTIN3 and IGSF3 as developmentally regulated AMPAR-proximal proteins in the cerebellum. Overall, this work establishes a flexible and generalizable platform to study receptor microenvironments in genetically intact specimens with an unprecedented temporal resolution.

Revealing and mitigating the inhibitory effect of serotonin on HRP-mediated protein labelling

Proximity-dependent biotinylation coupled with mass spectrometry enables the characterization of subcellular proteomes. This technique has significantly advanced neuroscience by revealing sub-synaptic protein networks, such as the synaptic cleft and post-synaptic density. Profiling proteins at this detailed level is essential for understanding the molecular mechanisms of neuronal connectivity and transmission. Despite its recent successful application to various neuronal types, proximity labelling has yet to be employed to study the serotonin system. In this study, we uncovered an unreported inhibitory mechanism of serotonin on horseradish peroxidase (HRP)-based biotinylation. Our result showed that serotonin significantly reduces biotinylation levels across various Biotin-XX-tyramide (BxxP) concentrations in HEK293T cells and primary neurons, whereas dopamine exerts minimal interference, highlighting the specificity of this inhibition. To counteract this inhibition, we demonstrated that Dz-PEG, an aryl diazonium compound that consumes serotonin through an azo-coupling reaction, restores biotinylation efficiency. Label-free quantitative proteomics confirmed that serotonin inhibits biotinylation, and that Dz-PEG effectively reverses this inhibition. These findings highlight the importance of accounting for neurotransmitter interference in proximity-dependent biotinylation studies, especially for cell-type specific profiling in neuroscience. Additionally, we provided a potential strategy to mitigate these challenges, thereby enhancing the accuracy and reliability of such studies.

Protocols for identifying endogenous interactors of RNA-binding proteins in mammalian cells using the peroxidase APEX2 biotin-labeling method

Engineered ascorbate peroxidase, APEX2, is widely applied for the identification of intracellular molecule-molecule interaction analyses. Here, we present a protocol for identifying interactors of RNA-binding proteins (RBPs) in living HeLa cells using the APEX2 fusion construct. We describe steps for generation of RBP-APEX2, proximity biotin labeling, and preparation of labeled molecules for mass spectrometry analysis. This protocol may be applicable to other cell cultures and RBPs of interest. For complete details on the use and execution of this protocol, please refer to Uozumi et al.1.

Protocol to profile spatially resolved NLRP3 inflammasome complexes using APEX2-based proximity labeling

The NLRP3 inflammasome is a key multi-protein complex controlling inflammation, particularly interleukin-1β (IL-1β) production. Here, we present a protocol to profile spatially resolved NLRP3 inflammasome complexes using ascorbic peroxidase 2 (APEX2)-based proximity labeling combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS). We describe steps for design and generation of the fusion construct, characterization of the stable FLAG-NLRP3-APEX2 expression cell line by western blotting/imaging, biotinylated proteome enrichment, and mass spectrometry analysis. For complete details on the use and execution of this protocol, please refer to Liang et al.1.

ZW10: an emerging orchestrator of organelle dynamics during the cell division cycle

Zeste white 10 (ZW10) was first identified as a centromere/kinetochore protein encoded by the ZW10 gene in Drosophila. ZW10 guides the spindle assembly checkpoint signaling during mitotic chromosome segregation in metazoans. Recent studies have shown that ZW10 is also involved in membrane-bound organelle interactions during interphase and plays a vital role in membrane transport between the endoplasmic reticulum and Golgi apparatus. Despite these findings, the precise molecular mechanisms by which ZW10 regulates interactions between membrane-bound organelles in interphase and the assembly of membraneless organelle kinetochore in mitosis remain elusive. Here, we highlight how ZW10 forms context-dependent protein complexes during the cell cycle. These complexes are essential for mediating membrane trafficking in interphase and ensuring the accurate segregation of chromosomes in mitosis.

The proximity interactome of PML isoforms I and II under fatty acid stress

Promyelocytic leukemia (PML) protein forms the scaffold for PML nuclear bodies (PML NB) that reorganize into Lipid-Associated PML Structures (LAPS) under fatty acid stress. We determined how the fatty acid oleate alters the interactome of PMLI or PMLII by expressing fusions with the ascorbate peroxidase APEX2 in U2OS cells. The resultant interactome included ESCRT and COPII transport protein nodes. Proximity ligation assay (PLA) revealed that COPII proteins SEC23B, SEC24A and USO1 preferentially associated with PML NBs. Nuclear localization of USO1, but not SEC23B and SEC24A, was reduced in PML knockout cells and restored by PMLII expression. Thus, proximity-labelling methods identified COPII transport protein interactions with PML NBs that are disrupted by fatty acid stress.

TurboCas: A method for locus-specific labeling of genomic regions and isolating their associated protein interactome

Regulation of gene expression during development and stress response requires the concerted action of transcription factors and chromatin-binding proteins. Because this process is cell-type specific and varies with cellular conditions, mapping of chromatin factors at individual regulatory loci is crucial for understanding cis-regulatory control. Previous methods only characterize static protein binding. We present "TurboCas," a method combining a proximity-labeling (PL) enzyme, miniTurbo, with CRISPR-dCas9 that allows for efficient and site-specific labeling of chromatin factors in mammalian cells. Validating TurboCas at the FOS promoter, we identify proteins recruited upon heat shock, cross-validated via RNA polymerase II and P-TEFb immunoprecipitation. These methodologies reveal canonical and uncharacterized factors that function to activate expression of heat-shock-responsive genes. Applying TurboCas to the MYC promoter, we identify two P-TEFb coactivators, the super elongation complex (SEC) and BRD4, as MYC co-regulators. TurboCas provides a genome-specific targeting PL, with the potential to deepen our molecular understanding of transcriptional regulatory pathways in development and stress response.

Stressor-Actuated Proximity Labeling for Reporting Cellular Interaction

Cell-cell interactions determine the activation state and function of cells. When host cells are exposed to stressors such as microorganisms, immune defense machinery is activated to release H2O2, providing direct evidence of the relevant cellular physiological processes. Inspired by the fact that peroxidase can catalyze proximity labeling in the presence of exogenous H2O2, a stressor-actuated proximity labeling (SAPL) strategy is developed to report the process information on cell-cell interactions by recording stress levels. The stressors are covalently modified with horseradish peroxidase (HRP) and the H2O2 released by the host cells in response to the stressors triggers HRP-based proximity labeling. Using a fungal mimic or live fungi as stressors, the stress levels of different host cells are compared by in situ imaging of the labeling signals. The ability to accumulate stress signals allows SAPL to more sensitively differentiate between interactions involving different macrophage phenotypes. SAPL is also a powerful tool for real-time, in situ monitoring of the effects of surface modifications on cellular interactions. Thus, the SAPL strategy represents a new perspective in the monitoring of cell-cell interactions using endogenous effector molecules.

Directed evolution of peroxidase DNAzymes by a function-based approach

Peroxidase DNAzymes are single-stranded, stable G-quadruplexes structures that exhibit catalytic activity with cofactor hemin. This class of DNAzymes offers several advantages over traditional protein and RNA catalysts, including thermal stability, resistance to hydrolysis, and easy of synthesis in the laboratory. However, their use in medicine, biology, and chemistry is limited due to their low catalytic rates. Selecting and evolving for higher catalytic rates has been challenging due to limitations in selection methodology which generally use affinity as the selection pressure instead of kinetics. We previously evolved a new peroxidase DNAzyme (mSBDZ-X-3) through a directed evolution method, which was subsequently used for proximity labelling in a proteomic experiment in cell culture. Herein, we present a detailed protocol for this function-based laboratory evolution method to evolve peroxidase DNAzymes for future laboratory implementation. This approach is based on capturing self-biotinylated DNA, which is catalyzed by intrinsic peroxidase activity to select for DNAzyme molecules. The selection method uses fluorescence-based real-time monitoring of the DNA pools, allowing for the enrichment of catalytic activity and capture of catalytic DNA across evolutionary selection rounds. The evolved mSBDZ-X-3 DNAzyme attributes parallel G-quadruplex structure and demonstrates better catalytic properties than DNAzyme variants evolved previously. The influence of critical reaction parameters is outlined. This protocol enables discovery of improved peroxidase DNAzyme/RNAzyme variants from natural or chemical-modified nucleotide libraries. The approach could be applicable for the selection of catalytic activities in a variety of directed molecular evolution contexts.

Proximity sequencing for the detection of mRNA, extracellular proteins and extracellular protein complexes in single cells

Complex cellular functions occur via the coordinated formation and dissociation of protein complexes. Functions such as the response to a signaling ligand can incorporate dozens of proteins and hundreds of complexes. Until recently, it has been difficult to measure multiple protein complexes at the single-cell level. Here, we present a step-by-step procedure for proximity sequencing, which enables the simultaneous measurement of proteins, mRNA and hundreds of protein complexes located on the outer membrane of cells. We guide the user through probe creation, sample preparation, staining, sequencing and computational quantification of protein complexes. This protocol empowers researchers to study, for example, the interplay between transcriptional states and cellular functions by coupling measurements of transcription to measurements of linked effector molecules, yet could be generalizable to other paired events. The protocol requires roughly 16 h spread over several days to complete by users with expertise in basic molecular biology and single-cell sequencing.

Rheb1 deficiency elicits mitochondrial dysfunction and accelerates podocyte senescence through promoting Atp5f1c acetylation

Podocyte senescence can cause persistent podocyte injury and albuminuria in diabetic kidney disease (DKD), but the mechanism remains obscure. In this study, podocyte senescence was confirmed by immunohistochemical staining in podocytes from patients and mice with DKD. Rheb1 knockout in podocytes aggravated podocyte senescence and injury in diabetic mice, but mitigated podocyte injury in mice with podocyte-specific mTORC1 activation induced by Tsc1 deletion. In cultured podocytes, Rheb1 knockdown remarkably accelerated podocyte senescence, independent of mTORC1. Mechanistically, PDH phosphorylation in podocyte was correlated with podocyte senescence in DKD patients. Rheb1 deficiency decreased ATP, mitochondrial membrane potential and partial components of respiratory chain complex, and enhanced ROS production and PDH phosphorylation, which indicates mitochondrial dysfunction, both in vitro and in vivo. Furthermore, Rheb1 interacted with Atp5f1c, and regulated its acetylation under a high-glucose condition. Together, Rheb1 deficiency elicits mitochondrial dysfunction and accelerates podocyte senescence through promoting Atp5f1c acetylation, in an mTORC1-independent manner, which provides experimental basis for the treatment of DKD.

Regulation of mitochondrial oxidative phosphorylation through tight control of cytochrome c oxidase in health and disease - Implications for ischemia/reperfusion injury, inflammatory diseases, diabetes, and cancer

Mitochondria are essential to cellular function as they generate the majority of cellular ATP, mediated through oxidative phosphorylation, which couples proton pumping of the electron transport chain (ETC) to ATP production. The ETC generates an electrochemical gradient, known as the proton motive force, consisting of the mitochondrial membrane potential (ΔΨm, the major component in mammals) and ΔpH across the inner mitochondrial membrane. Both ATP production and reactive oxygen species (ROS) are linked to ΔΨm, and it has been shown that an imbalance in ΔΨm beyond the physiological optimal intermediate range results in excessive ROS production. The reaction of cytochrome c oxidase (COX) of the ETC with its small electron donor cytochrome c (Cytc) is the proposed rate-limiting step in mammals under physiological conditions. The rate at which this redox reaction occurs controls ΔΨm and thus ATP and ROS production. Multiple mechanisms are in place that regulate this reaction to meet the cell's energy demand and respond to acute stress. COX and Cytc have been shown to be regulated by all three main mechanisms, which we discuss in detail: allosteric regulation, tissue-specific isoforms, and post-translational modifications for which we provide a comprehensive catalog and discussion of their functional role with 55 and 50 identified phosphorylation and acetylation sites on COX, respectively. Disruption of these regulatory mechanisms has been found in several common human diseases, including stroke and myocardial infarction, inflammation including sepsis, and diabetes, where changes in COX or Cytc phosphorylation lead to mitochondrial dysfunction contributing to disease pathophysiology. Identification and subsequent targeting of the underlying signaling pathways holds clear promise for future interventions to improve human health. An example intervention is the recently discovered noninvasive COX-inhibitory infrared light therapy that holds promise to transform the current standard of clinical care in disease conditions where COX regulation has gone awry.

diaPASEF-Powered Chemoproteomics Enables Deep Kinome Interaction Profiling

Protein-protein interactions (PPIs) underlie most biological functions. Devastating human conditions like cancers, neurological disorders, and infections, hijack PPI networks to initiate disease, and to drive disease progression. Understanding precisely how diseases remodel PPI networks can, therefore, help clarify disease mechanisms and identify therapeutic targets. Protein kinases control most cellular processes through protein phosphorylation. The 518 human kinases, known as the kinome, are frequently dysregulated in disease and highly druggable with ATP-competitive inhibitors. Kinase activity, localization, and substrate recognition are regulated by dynamic PPI networks composed of scaffolding and adapter proteins, other signaling enzymes like small GTPases and E3 ligases, and phospho-substrates. Accordingly, mapping kinase PPI networks can help determine kinome activation states, and, in turn, cellular activation states; this information can be used for studying kinase-mediated cell signaling, and for prioritizing kinases for drug discovery. Previously, we have developed a high-throughput method for kinome PPI mapping based on mass spectrometry (MS)-based chemoproteomics that we named kinobead competition and correlation analysis (kiCCA). Here, we introduce 2 nd generation (gen) kiCCA which utilizes data-independent acquisition (dia) with parallel accumulation serial fragmentation (PASEF) MS and a re-designed CCA algorithm with improved selection criteria and the ability to predict multiple kinase interaction partners of the same proteins. Using neuroblastoma cell line models of the noradrenergic-mesenchymal transition (NMT), we demonstrate that 2 nd gen kiCCA (1) identified 6.1-times more kinase PPIs in native cell extracts compared to our 1 st gen approach, (2) determined kinase-mediated signaling pathways that underly the neuroblastoma NMT, and (3) accurately predicted pharmacological targets for manipulating NMT states. Our 2 nd gen kiCCA method is broadly useful for cell signaling research and kinase drug discovery.

Cytosolic N6AMT1-dependent translation supports mitochondrial RNA processing

Mitochondrial biogenesis relies on both the nuclear and mitochondrial genomes, and imbalance in their expression can lead to inborn errors of metabolism, inflammation, and aging. Here, we investigate N6AMT1, a nucleo-cytosolic methyltransferase that exhibits genetic codependency with mitochondria. We determine transcriptional and translational profiles of N6AMT1 and report that it is required for the cytosolic translation of TRMT10C (MRPP1) and PRORP (MRPP3), two subunits of the mitochondrial RNAse P enzyme. In the absence of N6AMT1, or when its catalytic activity is abolished, RNA processing within mitochondria is impaired, leading to the accumulation of unprocessed and double-stranded RNA, thus preventing mitochondrial protein synthesis and oxidative phosphorylation, and leading to an immune response. Our work sheds light on the function of N6AMT1 in protein synthesis and highlights a cytosolic program required for proper mitochondrial biogenesis.

Spatially Controlled MicroRNA Imaging in Mitochondria via Enzymatic Activation of Hybridization Chain Reaction

Live-cell imaging of RNA in specific subcellular compartments is essential for elucidating the rich repertoire of cellular functions, but it has been limited by a lack of simple, precisely controlled methods. Here such an approach is presented via the combination of hybridization chain reaction and spatially restricted enzymatic activation with organelle-targeted delivery. The system can localize engineered DNA hairpins in the mitochondria, where target RNA-initiated chain reaction of hybridization events is selectively activated by a specific enzyme, enabling amplified RNA imaging with high precision. It is demonstrated that the approach is compatible with live cell visualization and enables the regulatable imaging of microRNA in mitochondria. Since in situ activation of the signal amplification with enzyme eliminates the need for genetically encoded protein overexpression, it is envisioned that this simple platform will be broadly applicable for precise RNA imaging with subcellular resolution in a variety of biological processes.

Discovery and significance of protein-protein interactions in health and disease

The identification of individual protein-protein interactions (PPIs) began more than 40 years ago, using protein affinity chromatography and antibody co-immunoprecipitation. As new technologies emerged, analysis of PPIs increased to a genome-wide scale with the introduction of intracellular tagging methods, affinity purification (AP) followed by mass spectrometry (MS), and co-fractionation MS (CF-MS). Now, combining the resulting catalogs of interactions with complementary methods, including crosslinking MS (XL-MS) and cryogenic electron microscopy (cryo-EM), helps distinguish direct interactions from indirect ones within the same or between different protein complexes. These powerful approaches and the promise of artificial intelligence applications like AlphaFold herald a future where PPIs and protein complexes, including energy-driven protein machines, will be understood in exquisite detail, unlocking new insights in the contexts of both basic biology and disease.

AI-empowered perturbation proteomics for complex biological systems

The insufficient availability of comprehensive protein-level perturbation data is impeding the widespread adoption of systems biology. In this perspective, we introduce the rationale, essentiality, and practicality of perturbation proteomics. Biological systems are perturbed with diverse biological, chemical, and/or physical factors, followed by proteomic measurements at various levels, including changes in protein expression and turnover, post-translational modifications, protein interactions, transport, and localization, along with phenotypic data. Computational models, employing traditional machine learning or deep learning, identify or predict perturbation responses, mechanisms of action, and protein functions, aiding in therapy selection, compound design, and efficient experiment design. We propose to outline a generic PMMP (perturbation, measurement, modeling to prediction) pipeline and build foundation models or other suitable mathematical models based on large-scale perturbation proteomic data. Finally, we contrast modeling between artificially and naturally perturbed systems and highlight the importance of perturbation proteomics for advancing our understanding and predictive modeling of biological systems.

Allosteric regulation of the tyrosine phosphatase PTP1B by a protein-protein interaction

The rapid identification of protein-protein interactions has been significantly enabled by mass spectrometry (MS) proteomics-based methods, including affinity purification-MS, crosslinking-MS, and proximity-labeling proteomics. While these methods can reveal networks of interacting proteins, they cannot reveal how specific protein-protein interactions alter protein function or cell signaling. For instance, when two proteins interact, there can be emergent signaling processes driven purely by the individual activities of those proteins being co-localized. Alternatively, protein-protein interactions can allosterically regulate function, enhancing or suppressing activity in response to binding. In this work, we investigate the interaction between the tyrosine phosphatase PTP1B and the adaptor protein Grb2, which have been annotated as binding partners in a number of proteomics studies. This interaction has been postulated to co-localize PTP1B with its substrate IRS-1 by forming a ternary complex, thereby enhancing the dephosphorylation of IRS-1 to suppress insulin signaling. Here, we report that Grb2 binding to PTP1B also allosterically enhances PTP1B catalytic activity. We show that this interaction is dependent on the proline-rich region of PTP1B, which interacts with the C-terminal SH3 domain of Grb2. Using NMR spectroscopy and hydrogen-deuterium exchange mass spectrometry (HDX-MS) we show that Grb2 binding alters PTP1B structure and/or dynamics. Finally, we use MS proteomics to identify other interactors of the PTP1B proline-rich region that may also regulate PTP1B function similarly to Grb2. This work presents one of the first examples of a protein allosterically regulating the enzymatic activity of PTP1B and lays the foundation for discovering new mechanisms of PTP1B regulation in cell signaling.

Cell-Int: a cell-cell interaction assay to identify native membrane protein interactions

Intercellular protein-protein interactions (PPIs) have pivotal roles in biological functions and diseases. Membrane proteins are therefore a major class of drug targets. However, studying such intercellular PPIs is challenging because of the properties of membrane proteins. Current methods commonly use purified or modified proteins that are not physiologically relevant and hence might mischaracterize interactions occurring in vivo. Here, we describe Cell-Int: a cell interaction assay for studying plasma membrane PPIs. The interaction signal is measured through conjugate formation between two populations of cells each expressing either a ligand or a receptor. In these settings, membrane proteins are in their native environment thus being physiologically relevant. Cell-Int has been applied to the study of diverse protein partners, and enables to investigate the inhibitory potential of blocking antibodies, as well as the retargeting of fusion proteins for therapeutic development. The assay was also validated for screening applications and could serve as a platform for identifying new protein interactors.

Reporter parasite lines: valuable tools for the study of Plasmodium biology

The human malaria parasite Plasmodium falciparum causes the most severe form of malaria in endemic regions and is transmitted via mosquito bites. To better understand the biology of this deadly pathogen, a variety of P. falciparum reporter lines have been generated using transgenic approaches to express reporter proteins, such as fluorescent proteins and luciferases. This review discusses the advances in recently generated P. falciparum transgenic reporter lines, which will aid in the investigation of parasite physiology and the discovery of novel antimalarial drugs. Future prospects for the generation of new and superior human malaria parasite reporter lines are also discussed, and unresolved questions in malaria biology are highlighted to help boost support for the development and implementation of malaria treatments.

Coordinating BNIP3/NIX-mediated mitophagy in space and time

Mitochondria maintain organellar homeostasis through multiple quality control pathways, including the clearance of defective or unwanted mitochondria by selective autophagy. This removal of mitochondria, mitophagy, is controlled in large part by the outer mitochondrial membrane mitophagy receptors BNIP3 and NIX. While it has long been appreciated that BNIP3 and NIX mediate mitophagy by controlling the recruitment of autophagic machinery to the mitochondrial surface, the requirement for the carefully controlled spatiotemporal regulation of receptor-mediated mitophagy has only recently come to light. Several new factors that regulate the BNIP3/NIX-mediated mitophagy pathway have emerged, and various loss-of-function cell and animal models have revealed the dire consequences of their dysregulation. In this mini-review, we discuss new insights into the mechanisms and roles of the regulation of BNIP3 and NIX and highlight questions that have emerged from the identification of these new regulators.

Directed evolution of the multicopper oxidase laccase for cell surface proximity labeling and electron microscopy

Enzymes that oxidize aromatic substrates have shown utility in a range of cell-based technologies including live cell proximity labeling (PL) and electron microscopy (EM), but are associated with drawbacks such as the need for toxic H 2 O 2 . Here, we explore laccases as a novel enzyme class for PL and EM in mammalian cells. LaccID, generated via 11 rounds of directed evolution from an ancestral fungal laccase, catalyzes the one-electron oxidation of diverse aromatic substrates using O 2 instead of toxic H 2 O 2 , and exhibits activity selective to the surface plasma membrane of both living and fixed cells. We show that LaccID can be used with mass spectrometry-based proteomics to map the changing surface composition of T cells that engage with tumor cells via antigen-specific T cell receptors. In addition, we use LaccID as a genetically-encodable tag for EM visualization of cell surface features in mammalian cell culture and in the fly brain. Our study paves the way for future cell-based applications of LaccID.

SPOT: spatial proteomics through on-site tissue-protein-labeling

BACKGROUND

Spatial proteomics seeks to understand the spatial organization of proteins in tissues or at different subcellular localization in their native environment. However, capturing the spatial organization of proteins is challenging. Here, we present an innovative approach termed Spatial Proteomics through On-site Tissue-protein-labeling (SPOT), which combines the direct labeling of tissue proteins in situ on a slide and quantitative mass spectrometry for the profiling of spatially-resolved proteomics.

MATERIALS AND METHODS

Efficacy of direct TMT labeling was investigated using seven types of sagittal mouse brain slides, including frozen tissues without staining, formalin-fixed paraffin-embedded (FFPE) tissues without staining, deparaffinized FFPE tissues, deparaffinized and decrosslinked FFPE tissues, and tissues with hematoxylin & eosin (H&E) staining, hematoxylin (H) staining, eosin (E) staining. The ability of SPOT to profile proteomes at a spatial resolution was further evaluated on a horizontal mouse brain slide with direct TMT labeling at eight different mouse brain regions. Finally, SPOT was applied to human prostate cancer tissues as well as a tissue microarray (TMA), where TMT tags were meticulously applied to confined regions based on the pathological annotations. After on-site direct tissue-protein-labeling, tissues were scraped off the slides and subject to standard TMT-based quantitative proteomics analysis.

RESULTS

Tissue proteins on different types of mouse brain slides could be directly labeled with TMT tags. Moreover, the versatility of our direct-labeling approach extended to discerning specific mouse brain regions based on quantitative outcomes. The SPOT was further applied on both frozen tissues on slides and FFPE tissues on TMAs from prostate cancer tissues, where a distinct proteomic profile was observed among the regions with different Gleason scores.

CONCLUSIONS

SPOT is a robust and versatile technique that allows comprehensive profiling of spatially-resolved proteomics across diverse types of tissue slides to advance our understanding of intricate molecular landscapes.

Protein Corona of Nanoparticles: Isolation and Analysis

Nanoparticles entering biological systems or fluids inevitably adsorb biomolecules, such as protein, on their surfaces, forming a protein corona. Ensuing, the protein corona endows nanoparticles with a new biological identity and impacts the interaction between the nanoparticles and biological systems. Hence, the development of reliable techniques for protein corona isolation and analysis is key for understanding the biological behaviors of nanoparticles. First, this review systematically outlines the approach for isolating the protein corona, including centrifugation, magnetic separation, size exclusion chromatography, flow-field-flow fractionation, and other emerging methods. Next, we review the qualitative and quantitative characterization methods of the protein corona. Finally, we underscore the necessary steps to advance the efficiency and fidelity of protein corona isolation and characterization on nanoparticle surfaces. We anticipate that these insights into protein corona isolation and characterization methodologies will profoundly influence the development of technologies aimed at elucidating bionano interactions and the role of protein corona in various biomedical applications.

Disruption of nuclear speckle integrity dysregulates RNA splicing in C9ORF72-FTD/ALS

Expansion of an intronic (GGGGCC)n repeat within the C9ORF72 gene is the most common genetic cause of both frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) (C9-FTD/ALS), characterized with aberrant repeat RNA foci and noncanonical translation-produced dipeptide repeat (DPR) protein inclusions. Here, we elucidate that the (GGGGCC)n repeat RNA co-localizes with nuclear speckles and alters their phase separation properties and granule dynamics. Moreover, the essential nuclear speckle scaffold protein SRRM2 is sequestered into the poly-GR cytoplasmic inclusions in the C9-FTD/ALS mouse model and patient postmortem tissues, exacerbating the nuclear speckle dysfunction. Impaired nuclear speckle integrity induces global exon skipping and intron retention in human iPSC-derived neurons and causes neuronal toxicity. Similar alternative splicing changes can be found in C9-FTD/ALS patient postmortem tissues. This work identified novel molecular mechanisms of global RNA splicing defects caused by impaired nuclear speckle function in C9-FTD/ALS and revealed novel potential biomarkers or therapeutic targets.

Detecting Native Protein-Protein Interactions by APEX2 Proximity Labeling in Drosophila Tissues

Enzyme-catalyzed proximity labeling is a potent technique for the discernment of subtle molecular interactions and subcellular localization, furnishing contextual insights into the protein of interest within cells. Although ascorbate peroxidase2 (APEX2) has proven effective in this approach when overexpressed, its compatibility with endogenous proteins remains untested. We improved this technique for studying native protein-protein interactions in live Drosophila ovary tissue. Through CRISPR/Cas9 genome editing, APEX2 was fused with the endogenous dysfusion gene. By pre-treating the tissue with Triton X-100 to enhance biotin-phenol penetration, we successfully identified multiple proteins interacting with the native Dysfusion proteins that reside on the inner nuclear membrane. Our protocol offers a comprehensive workflow for delineating the interactome networks of ovarian components in Drosophila, aiding future studies on endogenous protein-protein interactions in various tissues of other animals. Key features • Elucidating Protein-protein interactions provides deeper insights into the regulation of gene expression in molecular network and complex signaling pathways, advancing protein engineering and drug design. • This protocol utilizes CRISPR/Cas9 knock-in technology to tag endogenous proteins with the APEX2 to label nearby proteins within a 20 nm radius in Drosophila melanogaster. • We optimize APEX2-proximity labeling by using Triton X-100 pre-treatment to enhance biotin-phenol penetration into Drosophila ovaries, enabling endogenous proteins enrichment under native conditions.

Mass Spectrometry-Based Proteomics for Assessing Epitranscriptomic Regulations

Epitranscriptomics is a rapidly evolving field that explores chemical modifications in RNA and how they contribute to dynamic and reversible regulations of gene expression. These modifications, for example, N6-methyladenosine (m6A), are crucial in various RNA metabolic processes, including splicing, stability, subcellular localization, and translation efficiency of mRNAs. Mass spectrometry-based proteomics has become an indispensable tool in unraveling the complexities of epitranscriptomics, offering high-throughput, precise protein identification, and accurate quantification of differential protein expression. Over the past two decades, advances in mass spectrometry, including the improvement of high-resolution mass spectrometers and innovative sample preparation methods, have allowed researchers to perform in-depth analyses of epitranscriptomic regulations. This review focuses on the applications of bottom-up proteomics in the field of epitranscriptomics, particularly in identifying and quantifying epitranscriptomic reader, writer, and eraser (RWE) proteins and in characterizing their functions, posttranslational modifications, and interactions with other proteins. Together, by leveraging modern proteomics, researchers can gain deep insights into the intricate regulatory networks of RNA modifications, advancing fundamental biology, and fostering potential therapeutic applications.

Charting the Dynamic Trophoblast Plasma Membrane Identifies LYN As a Functional Regulator of Syncytialization

The differentiation of placental cytotrophoblasts (CTBs) into the syncytiotrophoblast (STB) layer results in a significant remodeling of the plasma membrane proteome. Here, we use a peroxidase-catalyzed proximity labeling strategy to map the dynamic plasma membrane proteomes of CTBs and STBs. Coupled with mass-spectrometry-based proteomics, we identify hundreds of plasma membrane proteins and observe relative changes in protein abundance throughout differentiation, including the upregulation of the plasma-membrane-localized nonreceptor tyrosine kinase LYN. We show that both siRNA-mediated knockdown and small molecule inhibition of LYN kinase function impairs CTB fusion and reduces the expression of syncytialization markers, presenting a function for LYN outside of its canonical role in immunological signaling. Our results demonstrate the use of the proximity labeling platform to discover functional regulators within the plasma membrane and provide new avenues to regulate trophoblast differentiation.

Optimized Automated Workflow for BioID Improves Reproducibility and Identification of Protein-Protein Interactions

Proximity-dependent biotinylation is an important method to study protein-protein interactions in cells, for which an expanding number of applications has been proposed. The laborious and time-consuming sample processing has limited project sizes so far. Here, we introduce an automated workflow on a liquid handler to process up to 96 samples at a time. The automation not only allows higher sample numbers to be processed in parallel but also improves reproducibility and lowers the minimal sample input. Furthermore, we combined automated sample processing with shorter liquid chromatography gradients and data-independent acquisition to increase the analysis throughput and enable reproducible protein quantitation across a large number of samples. We successfully applied this workflow to optimize the detection of proteasome substrates by proximity-dependent labeling.

Advances in crosslinking chemistry and proximity-enabled strategies: deciphering protein complexes and interactions

Mass spectrometry, coupled with innovative crosslinking techniques to decode protein conformations and interactions through uninterrupted signal connections, has undergone remarkable progress in recent years. It is crucial to develop selective crosslinking reagents that minimally disrupt protein structure and dynamics, providing insights into protein network regulation and biological functions. Compared to traditional crosslinkers, new bifunctional chemical crosslinkers exhibit high selectivity and specificity in connecting proximal amino acid residues, resulting in stable molecular crosslinked products. The conjugation with specific amino acid residues like lysine, cysteine, arginine and tyrosine expands the XL-MS toolbox, enabling more precise modeling of target substrates and leading to improved data quality and reliability. Another emerging crosslinking method utilizes unnatural amino acids (UAAs) derived from proximity-enabled reactivity with specific amino acids or sulfur-fluoride exchange (SuFEx) reactions with nucleophilic residues. These UAAs are genetically encoded into proteins for the formation of specific covalent bonds. This technique combines the benefits of genetic encoding for live cell compatibility with chemical crosslinking, providing a valuable method for capturing transient and weak protein-protein interactions (PPIs) for mapping PPI coordinates and improving the pharmacological properties of proteins. With continued advancements in technology and applications, crosslinking mass spectrometry is poised to play an increasingly significant role in guiding our understanding of protein dynamics and function in the future.

Imaging and proteomics toolkits for studying organelle contact sites

Organelle contact sites are regions where two heterologous membranes are juxtaposed by molecular tethering complexes. These contact sites are important in inter-organelle communication and cellular functional integration. However, visualizing these minute foci and identifying contact site proteomes have been challenging. In recent years, fluorescence-based methods have been developed to visualize the dynamic physical interaction of organelles while proximity labeling approaches facilitate the profiling of proteomes at contact sites. In this review, we explain the design principle for these contact site reporters: a dual-organelle interaction mechanism based on how endogenous tethers and/or tethering complexes localize to contact sites. We classify the contact site reporters into three categories: (i) single-protein systems, (ii) two-component systems with activated reporter signal upon organelle proximity, and (iii) reporters for contact site proteomes. We also highlight advanced imaging analysis with high temporal-spatial resolution and the use of machine-learning algorithms for detecting contact sites.

Multi-omics analysis using antibody-based in situ biotinylation technique suggests the mechanism of Cajal body formation

Membrane-less subcellular compartments play important roles in various cellular functions. Although techniques exist to identify components of cellular bodies, a comprehensive method for analyzing both static and dynamic states has not been established. Here, we apply an antibody-based in situ biotinylation proximity-labeling technique to identify components of static and dynamic nuclear bodies. Using this approach, we comprehensively identify DNA, RNA, and protein components of Cajal bodies (CBs) and then clarify their interactome. By inhibiting transcription, we capture dynamic changes in CBs. Our analysis reveals that nascent small nuclear RNAs (snRNAs) transcribed in CBs contribute to CB formation by assembling RNA-binding proteins, including frontotemporal dementia-related proteins, RNA-binding motif proteins, and heterogeneous nuclear ribonucleoproteins.

Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross-Linking

The exploration of protein structure and function stands at the forefront of life science and represents an ever-expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS-based structural proteomics is making significant strides in the realms of structural and molecular biology, complementing traditional structural biology techniques. This review focuses on two powerful MS-based techniques for peptide-level readout, namely limited proteolysis-mass spectrometry (LiP-MS) and cross-linking mass spectrometry (XL-MS). First, we discuss the principles, features, and different workflows of these two methods. Subsequently, we delve into the bioinformatics strategies and software tools used for interpreting data associated with these protein conformation readouts and how the data can be integrated with other computational tools. Furthermore, we provide a comprehensive summary of the noteworthy applications of LiP-MS and XL-MS in diverse areas including neurodegenerative diseases, interactome studies, membrane proteins, and artificial intelligence-based structural analysis. Finally, we discuss the factors that modulate protein conformational changes. We also highlight the remaining challenges in understanding the intricacies of protein conformational changes by LiP-MS and XL-MS technologies.

Advances in spatial proteomics: Mapping proteome architecture from protein complexes to subcellular localizations

Proteins are responsible for most intracellular functions, which they perform as part of higher-order molecular complexes, located within defined subcellular niches. Localization is both dynamic and context specific and mislocalization underlies a multitude of diseases. It is thus vital to be able to measure the components of higher-order protein complexes and their subcellular location dynamically in order to fully understand cell biological processes. Here, we review the current range of highly complementary approaches that determine the subcellular organization of the proteome. We discuss the scale and resolution at which these approaches are best employed and the caveats that should be taken into consideration when applying them. We also look to the future and emerging technologies that are paving the way for a more comprehensive understanding of the functional roles of protein isoforms, which is essential for unraveling the complexities of cell biology and the development of disease treatments.