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FRET-FLIM for the Study of Protein-Protein Interactions Underpinning Mitosis Checkpoints.

Cell division is a key cellular process that ensures the continuation of life on Earth. In order to protect the genetic integrity of organisms, cell division must happen accurately, ensuring each daughter cell receives a complete copy of the original genome. The accuracy of this process is, in part, preserved by various cell cycle checkpoints. These checkpoints rely on the physical interactions of their components to ensure proper function. The spindle assembly checkpoint (SAC), for example, produces an inhibitory complex of BUBR1-BUB3 and MAD2 bound to CDC20. Many of these cell cycle checkpoint components have been identified in plants, but it has not yet been established whether plants have a mitotic checkpoint architecture that is similar to mammalian cells. To understand the function of plant cell cycle homologues, it is imperative to characterize their interactions in vivo. FRET-FLIM (Förster resonance energy transfer-fluorescence lifetime imaging microscopy), is a rapidly expanding technique that can be used to rapidly and simply characterize protein-protein interactions.

Fluorescence Resonance Energy Transfer

Recent advances in supramolecular macrocycle-based artificial light-harvesting systems.

Artificial light-harvesting systems (ALHSs) inspired by the antenna function of natural photosynthesis provide molecular platforms for collecting excitation energy and directing it to emissive or reactive acceptors. In many supramolecular ALHSs, however, practical performance is limited by poorly defined donor-acceptor orientation, aggregation-caused quenching (ACQ), interfacial defects, and limited stability in aqueous or complex media. Supramolecular macrocycles-particularly pillar[n]arenes (PAs), cucurbit[n]urils (CBs), calixarenes (CAs), cyclodextrins (CDs), and supramolecular coordination complexes (SCCs)-offer a useful design space because their cavities, pre-organized scaffolds, and reversible non-covalent interactions can confine chromophores, tune local donor/acceptor ratios, and modulate Förster resonance energy transfer (FRET). This Review systematically examines the unique structural advantages and assembly mechanisms of the five macrocyclic families, with an emphasis on their use in constructing ALHSs-from single-step to cascaded FRET-and in advancing aqueous photocatalysis, near-infrared bioimaging, panchromatic fluorescence modulation, and singlet oxygen generation. The resulting structure-property-application framework is intended to guide the rational design of macrocycle-assisted photofunctional materials while avoiding overextension of the photosynthesis analogy.

Journal Article

Identification of food-grade subtilisins as gluten-degrading enzymes to treat celiac disease.

Gluten are proline- and glutamine-rich proteins present in wheat, barley, and rye and contain the immunogenic sequences that drive celiac disease (CD). Rothia mucilaginosa, an oral microbial colonizer, can cleave these gluten epitopes. The aim was to isolate and identify the enzymes and evaluate their potential as novel enzyme therapeutics for CD. The membrane-associated R. mucilaginosa proteins were extracted and separated by DEAE chromatography. Enzyme activities were monitored with paranitroanilide-derivatized and fluorescence resonance energy transfer (FRET) peptide substrates, and by gliadin zymography. Epitope elimination was determined in R5 and G12 ELISAs. The gliadin-degrading Rothia enzymes were identified by LC-ESI-MS/MS as hypothetical proteins ROTMU0001_0241 (C6R5V9_9MICC), ROTMU0001_0243 (C6R5W1_9MICC), and ROTMU0001_240 (C6R5V8_9MICC). A search with the Basic Local Alignment Search Tool revealed that these are subtilisin-like serine proteases belonging to the peptidase S8 family. Alignment of the major Rothia subtilisins indicated that all contain the catalytic triad with Asp (D), His (H), and Ser (S) in the D-H-S order. They cleaved succinyl-Ala-Ala-Pro-Phe-paranitroanilide, a substrate for subtilisin with Pro in the P2 position, as in Tyr-Pro-Gln and Leu-Pro-Tyr in gluten, which are also cleaved. Consistently, FRET substrates of gliadin immunogenic epitopes comprising Xaa-Pro-Xaa motives were rapidly hydrolyzed. The Rothia subtilisins and two subtilisins from Bacillus licheniformis, subtilisin A and the food-grade Nattokinase, efficiently degraded the immunogenic gliadin-derived 33-mer peptide and the immunodominant epitopes recognized by the R5 and G12 antibodies. This study identified Rothia and food-grade Bacillus subtilisins as promising new candidates for enzyme therapeutics in CD.

Bacteria

Dual functional genomics reveals a broad and convergent landscape of asciminib resistance in BCR::ABL1.

BACKGROUND: Drug resistance is a constantly evolving challenge. The allosteric inhibitor asciminib is a novel therapy for chronic myelogenous leukemia (CML) that targets the myristoyl pocket of the BCR::ABL1 kinase. While it can overcome resistance to active-site inhibitors like imatinib, new resistance mutations to asciminib are emerging. The complete landscape of these mutations, particularly those outside the kinase domain or those arising from epistatic interactions between mutations, are not well understood. METHODS: This study employed a dual functional genomics approach in CML cell line models. A high-throughput adenosine base editing (ABE) screen was used to identify broad hotspots of asciminib resistance across the entire BCR::ABL1 protein. Deep mutational scanning (DMS) was then used to create a high-resolution map of all possible amino acid changes within these hotspots. An "edit-on-edit" screen was performed to investigate epistasis by introducing a library of mutations into a cell line that was pre-edited to incorporate the common imatinib-resistance mutation, Y253H. Finally, a novel Förster resonance energy transfer (FRET) biosensor was developed to measure the conformational state of BCR::ABL1 in live cells and link it to drug sensitivity. RESULTS: The screens identified 279 asciminib resistance mutations and revealed resistance hotspots distributed across the SH3, SH2, and kinase domains, in contrast to imatinib resistance, which is largely confined to the kinase domain. The study uncovered a potent epistatic interaction between a mutation in the SH3 domain (V73A) and a mutation in the kinase domain P-loop (Y253H), which synergistically conferred high-level resistance. The FRET biosensor demonstrated that asciminib resistance mutations tend to destabilize the "closed" inactive conformation of the ABL1 kinase. CONCLUSIONS: The landscape of asciminib resistance is broader and more complex than previously appreciated, involving mutations across multiple domains that disrupt ABL1 autoinhibition. Epistasis between mutations acquired during sequential therapies can create unexpected and potent resistance. However, these diverse genetic resistance mechanisms converge on a single biophysical measurement of the openness of the active ABL1 conformation. This provides a unified framework for understanding asciminib resistance and underscores the need for routine clinical resistance monitoring to include the SH3 and SH2 domains in first line and later line therapy.

Fusion Proteins, bcr-abl

An ATP-Driven N Protein-DDX21 Molecular Switch Dynamically Controls SARS-CoV-2 RNA G-Quadruplex Heterogeneity.

The SARS-CoV-2 RNA genome functions as a highly structured regulatory scaffold. Although bioinformatic analyses predict widespread RNA G-quadruplexes (G4s) across the viral genome, their structural diversity and regulatory mechanisms remain poorly understood. Here, we report a diverse landscape of viral G4s encompassing parallel and non-canonical topologies with remarkable thermostability. Unlike typical eukaryotic G4s, these two-tetrad viral G4s exhibit a hierarchical ion-dependent mechanism, in which K+ establishes the core fold, and Mg2 + acts as a secondary regulator promoting conformational compaction. Single-molecule FRET analysis further distinguishes rigid, long-lived G4 folds from highly dynamic, metastable species, defining a continuum of conformational states along the viral genome. Functionally, we identify a synergistic yet competitive interplay between the viral nucleocapsid (N) protein and host helicase DDX21. While the N protein acts as a molecular chaperone to promote G4 folding, DDX21 selectively resolves these structures in an ATP-dependent manner. Strikingly, N and DDX21 jointly constitute a finely tuned, ATP-driven molecular switch, where ATP availability dictates the equilibrium between G4-stabilized and resolved states. Our findings establish a mechanistic framework for the active regulation of SARS-CoV-2 RNA architecture and reveal a multilayered host-virus regulatory axis that modulates viral genome heterogeneity.

DEAD‐box helicases

Histone deacetylases: From acetylation homeostasis to oncogenic and neurodegenerative disorders.

Histone deacetylases (HDACs) are central regulators of acetylation homeostasis, governing chromatin architecture, transcriptional dynamics, and diverse cellular processes through reversible lysine deacetylation. Dysregulation of HDAC activity disrupts epigenetic balance and is strongly implicated in oncogenic transformation and the progression of neurodegenerative disorders. This chapter provides a comprehensive overview of HDAC biology with a particular emphasis on experimental and analytical methodologies used to investigate their function. We describe the structural and functional diversity of HDAC classes and their roles in multiprotein complexes that regulate gene expression and cellular signaling. A major focus is placed on screening-compatible and mechanistic assays, including fluorometric, colorimetric, radiometric, fluorescence polarization, TR-FRET, AlphaScreen/AlphaLISA, and differential scanning fluorimetry approaches for quantitative measurement of enzymatic activity and inhibitor profiling. In addition, advanced methodologies such as mass spectrometry-based acetylome analysis, chromatin immunoprecipitation sequencing (ChIP-seq), recombinant enzyme assays, and cell-based reporter systems are discussed in the context of functional genomics and drug discovery. The integration of high-throughput screening, structural biology, and multi-omics strategies is highlighted as essential for dissecting HDAC-mediated regulatory networks. Collectively, this chapter serves as a methodological framework for studying HDAC function and developing targeted epigenetic therapies in cancer and neurodegenerative diseases.

Histone Deacetylases

Substrate recognition and cleavage by mucin degrading O-glycopeptidases from the gut microbe Bacteroides caccae.

O-glycopeptidases are enzymes that hydrolyze the peptide bonds in glycoproteins by a mechanism that involves specific recognition of O-linked glycans on the substrate. Bacteroides caccae, an accomplished mucin degrader, is a member of the human gut microbiota with sixteen genes encoding putative O-glycopeptidases in the peptidase_M60 family. At present, the diversity of substrate selectivity in O-glycopeptidases is not well-understood, nor is the rationale behind their expansion in bacteria such as B. caccae. Here, we reveal the activity and diversity of the peptidase_M60 O-glycopeptidases encoded in the B. caccae genome. At least thirteen of the sixteen peptidase_M60 encoding genes produce active mucinolytic enzymes. Targeted functional studies by a high-throughput FRET screen combined with detailed kinetic analyses reveal that five examples in an uncharacterized clade of peptidase_M60 proteins are specifically O-glycopeptidases with different substrate selectivities despite their relatively high degree of relatedness. Structural analyses of these enzymes, including bound complexes, reveal new insight into the molecular underpinnings of O-glycopeptidase diversity. This highlights the larger context of how varied the selectivity of peptidase_M60 O-glycopeptidases can be for the glycan moiety and/or the peptide portion of the substrates, and why mucin degraders like B. caccae diversify O-glycopeptidase substrate repertoires to potentially maximize breakdown of this extraordinarily complex polymer.

Mucins

An increased copy number of glycine decarboxylase (GLDC) associated with psychosis reduces extracellular glycine and impairs NMDA receptor function.

Glycine is an obligatory co-agonist at excitatory NMDA receptors in the brain, especially in the dentate gyrus, which has been postulated to be crucial for the development of psychotic associations and memories with psychotic content. Drugs modulating glycine levels are in clinical development for improving cognition in schizophrenia. However, the functional relevance of the regulation of glycine metabolism by endogenous enzymes is unclear. Using a chromosome-engineered allelic series in mice, we report that a triplication of the gene encoding the glycine-catabolizing enzyme glycine decarboxylase (GLDC) - as found on a small supernumerary marker chromosome in patients with psychosis - reduces extracellular glycine levels as determined by optical fluorescence resonance energy transfer (FRET) in dentate gyrus (DG) and suppresses long-term potentiation (LTP) in mPP-DG synapses but not in CA3-CA1 synapses, reduces the activity of biochemical pathways implicated in schizophrenia and mitochondrial bioenergetics, and displays deficits in schizophrenia-like behaviors which are in part known to be dependent on the activity of the dentate gyrus, e.g., prepulse inhibition, startle habituation, latent inhibition, working memory, sociability and social preference. Our results demonstrate that Gldc negatively regulates long-term synaptic plasticity in the dentate gyrus in mice, suggesting that an increase in GLDC copy number possibly contributes to the development of psychosis in humans.

Animals

Activation of Rac1 by shear stress in endothelial cells mediates both cytoskeletal reorganization and effects on gene expression.

Hemodynamic shear stress is a fundamental determinant of vascular remodeling and atherogenesis. Changes in focal adhesions, cytoskeletal organization and gene expression are major responses of endothelial cells to shear stress. Here, we show that activation of the small GTPase Rac is essential for gene expression and for providing spatial information for shear stress-induced cell alignment. Fluorescence resonance energy transfer (FRET) localizes activated Rac1 in the direction of flow. This directional Rac1 activation is downstream of shear-induced new integrin binding to extracellular matrix. Additionally, Rac1 mediates flow-induced stimulation of nuclear factor kappaB (NF-kappaB) and the subsequent expression of intercellular cell adhesion molecule 1 (ICAM-1), an adhesion receptor involved in the recruitment of leukocytes to atherosclerotic plaque. These studies provide a unifying model linking three of the main responses to shear stress that mediate both normal adaptation to hemodynamic forces and inflammatory dysfunction of endothelial cells in atherosclerosis.

Animals

Leveraging bioorthogonal conjugation for alpha synuclein fibril surveillance.

Alpha synuclein (α-syn) amyloid fibrils are associated with various neurodegenerative diseases. To better understand the molecular and cellular basis for α-syn fibril persistence and spread, we implemented a fluorophore labeling strategy to surveil pre-formed α-syn fibrils in solution and in cells. We leveraged amber codon mediated incorporation of a tetrazine-based artificial amino acid (TetV2.0) to install a cyclooctene-conjugated Janeliaflour, JF549, at four sites on human α-syn: residues 4, 60, 96 and 136. Fast coupling occurred under mild buffer conditions and in the presence of the disease-associated cofactor and cytotoxic lipid, psychosine. Labeled fibrils retained their polymorphic features, seeded the growth of new fibrils in vitro, and induced the seeding of positive puncta in α-syn FRET biosensor HEK293T cells. This allowed simultaneous tracking of exogenous and endogenous α-syn aggregates in biosensor cells, and their localization within the cells. In doing so, our approach facilitates more detailed mechanistic investigation of α-syn aggregates.

Synuclein

High-Throughput Screening Identifies Small-Molecule Inhibitors of the Tau-LRP1 Interaction.

The cellular uptake and propagation of tau are central features of tauopathies, including Alzheimer's disease, and are mediated by the endocytic receptor low-density lipoprotein receptor-related protein 1 (LRP1). While prior studies have implicated LRP1 in tau binding and internalization, the biochemical features of this interaction and its suitability for therapeutic targeting remain incompletely defined. Here, we establish a quantitative and scalable framework to interrogate the tau-LRP1 interaction and identify small-molecule modulators. We engineered and purified the LRP1 ligand-binding domain 4 (BD4), a key region mediating tau interaction, and developed multiple orthogonal assays, including fluorescence polarization, split luciferase complementation, and time-resolved FRET, to measure LRP1-BD4 interactions with tau and a known peptide ligand. Across assay formats, we observe consistent binding affinities in the nanomolar range and demonstrate competitive displacement by tau, receptor-associated protein (RAP), and a peptide ligand, supporting overlapping binding interfaces. Leveraging these platforms, we performed small molecule high-throughput screening and identified a set of candidate inhibitors of the LRP1-BD4-tau interaction. Selected compounds reduced tau uptake in a cellular assay, phenocopying competitive inhibition by tau and a peptide ligand. Together, these studies define the LRP1-BD4-tau interaction as a biochemically tractable and druggable interface and establish an integrated discovery pipeline linking mechanistic characterization to functional cellular outcomes. This work provides a foundation for the development of therapeutic strategies targeting LRP1-mediated tau uptake.

Journal Article

A protein-dependent riboswitch activates ribosomal frameshifting in cardioviruses.

Programmed -1 ribosomal frameshifting (PRF) is a translational control mechanism used by RNA viruses to regulate the relative abundance of proteins encoded in different reading frames. Cardioviruses exhibit the highest known PRF efficiency, with ∼85% of ribosomes shifting into the -1 frame. This unusual event requires an interaction between the viral 2A protein and a stimulatory element in the RNA genome, but the basis for protein dependence is unclear. To address this, here we investigate the structure and dynamics of the PRF signal in Theiler's murine encephalitis virus (TMEV). By combining X-ray crystallography, small-angle X-ray scattering (SAXS), and single-molecule fluorescence resonance energy transfer (smFRET), we show that 2A binding switches the RNA from a stem-loop conformation into a pseudoknot, and we demonstrate that pseudoknot formation is essential for efficient PRF in vitro and in cells. Together, these findings illustrate how the cardiovirus PRF element behaves as a protein-dependent riboswitch, defining the molecular mechanism by which frameshifting is conditionally activated.

Frameshifting, Ribosomal

Seeing and Feeling DNA Methylation: Single-Molecule Biophysics Meets Machine Learning.

DNA methylation at 5-methylcytosine (5mC) is crucial for embryonic development and cellular function, while aberrant patterns strongly drive disease onset and progression. Its reversible nature offers substantial therapeutic potential, emphasizing the need for precise, context-specific genome wide 5mC mapping. Conventional techniques such as bisulfite sequencing and ensemble biosensor assays are hindered by DNA degradation, amplification bias, high cost, and inability to resolve single-molecule structural and mechanical effects of methylation. This review examines advances in single-molecule biophysical methods (nanopore sensing, smFRET, optical/magnetic tweezers, and AFM) that provide direct, label-free/minimally invasive 5mC detection, along with quantitative insights into DNA conformation, mechanics, and protein-DNA interactions. These techniques complement traditional methylome mapping by linking genomic localization to molecular mechanisms. Emerging machine-learning approaches are revolutionizing analysis, particularly in nanopore sensing, while promising applications in smFRET, tweezers, and AFM address throughput and reproducibility challenges. Their convergence promises scalable, high-resolution epigenetic profiling, advancing precision epigenomics toward clinical application.

DNA Methylation