Angewandte Chemie

Glycine transporter 1 (GlyT1) is a clinically investigated target whose conformational plasticity enables ligands to engage distinct extracellular and intracellular binding sites. However, methods to directly quantify intracellular binding remain limited and largely rely on radioligand-based approaches. Here, we report a NanoBRET-based binding assay to quantify intracellular GlyT1 target engagement in living cells using a fluorescent tracer derived from the GlyT1 inhibitor Cmpd1. With a structure-based approach followed by pharmacological characterization we identified a suitable meta-substituted exit vector for linker and fluorophore attachment while maintaining GlyT1 binding. A series of fluorescent probes was synthesized and evaluated, leading to the development of GlyT1-probe which displayed high-affinity binding and enabled robust NanoBRET measurements. Unlike the functional uptake assay, the NanoBRET assay distinguished intracellular from extracellular GlyT1 inhibitors and resolved structure-activity relationships at the intracellular binding site. This assay provides a quantitative approach to interrogate conformation-selective GlyT1 target engagement in living cells, facilitating the characterization of GlyT1 ligands targeting the intracellular site.

Plasma membranes (PM) have been traditionally studied by fluorescent probes by either labelling lipid or protein parts. Based on our MemGraft concept, we report a fluorescent probe based on solvatochromic dye Nile Red (MemGraft-NR) for sensing lipid organization in the immediate surrounding of proteins, i.e. at the protein-lipid interface. Two sequentially attached MemGraft scaffolds are required to ensure robust grafting of Nile Red to PM. In contrast to classical lipid-bound membrane probes, MemGraft-NR exhibits high resistance to the presence of serum and fixation with permeabilization. Two-color confocal imaging of MemGraft-NR in live cells reveals higher polarity at the protein-lipid interface compared to lipid-bound probe NR12A. Surprisingly, MemGraft-NR displays higher sensitivity to variation of cholesterol content in PM compared to NR12A, suggesting that protein-lipid interface is particularly impacted by changes in the lipid composition. MemGraft-NR also enabled in situ monitoring of lipid exchange and permeabilization of PM, something impossible for classical solvatochromic PM probes. Unexpectedly, MemGraft-NR reveals a dramatic decrease in the local polarity in early endosomes, suggesting that endosomal negative curvature provides strong impact on organization of the protein-lipid interface. The developed probe opens a new way to study biological membranes by sensing lipid surrounding of membrane proteins.

Proteolysis-targeting chimeras (PROTACs) promote targeted protein degradation by inducing a transient ternary complex between a protein of interest and an E3 ubiquitin ligase. Despite the clinical promise of these event-driven therapeutics, defining the conformational landscape and interfacial organization of these complexes remains challenging. Here, we use an integrated native mass spectrometry (nMS) approach combining ion mobility, surface-induced dissociation (SID), and variable-temperature electrospray ionization (vT-ESI) to determine how small-molecule architecture shapes the structural and thermodynamic landscapes of bromodomain-containing protein 4 (BRD4) with the VCB E3 ligase complex. Using a set of PROTACs that differ in targeting ligand identity (JQ1 versus I-BET726) and PEG linker length, ion mobility measurements show that shorter linkers constrain the ternary complex into more extended topologies, whereas longer, more flexible linkers allow dynamic sampling of relaxed, native-like conformations. SID directly probes noncovalent interfaces and shows that JQ1 complexes favor prompt PROTAC ejection, whereas tighter-binding I-BET726 complexes are more likely to retain the PROTAC at the interface. Complementing these kinetically-controlled gas-phase measurements, vT-ESI reveals a monophasic melting transition for a JQ1-mediated complex and a distinct biphasic melting profile for an I-BET726-mediated complex. The gas-phase activation measurements revealed targeting-ligand-driven differences in PROTAC ejection and retention, whereas vT-ESI uncovered distinct temperature-dependent disassembly pathways for the matched-linker-length JQ10L and IBET10L complexes. Together, these complementary techniques show how PROTAC architecture influences ternary-complex conformation, interfacial connectivity, and disassembly.

Extracellular vesicles (EVs) are fundamental mediators of intercellular communication that transfer macromolecular cargo, including proteins and RNAs, to functionally reprogram recipient cells. However, the molecular processes by which transferred ribonucleoprotein (RNP) complexes engage recipient host machinery to influence cellular behavior are poorly understood, primarily due to a dearth of methods capable of tracking these post-transfer interactions. To address this gap, we developed two complementary chemical biology platforms: EV-CLASP and EV(r)-CLASP. While EV-CLASP maps the native, intra-vesicular RNP landscape packaged within the EV, EV(r)-CLASP captures post-transfer dynamics by identifying the host proteins that directly associate with EV-derived RNAs following cellular uptake. Both approaches leverage metabolic labeling and photo-crosslinking for high-specificity recovery. Donor cells are cultured with 4-thiouridine (4SU) to biosynthetically label newly synthesized RNAs during EV biogenesis. Purified EVs can be crosslinked using 365 nm UV light to capture intra-vesicular RNP composition. Alternatively, 4SU-labeled EVs can be delivered to recipient cells and subsequently crosslinked to identify the primary physical interactions formed within the recipient-cell environment. Crosslinked RNP complexes are isolated under stringent conditions using solid-phase reversible beads to minimize background, followed by quantitative mass spectrometry for protein identification. Together, EV-CLASP and EV(r)-CLASP provide a robust, versatile framework for defining the dynamic RNP assemblies that facilitate extracellular RNA communication, offering a powerful toolkit to uncover novel RNA-associated regulatory networks, therapeutic targets, and biomarkers across diverse biological and disease contexts.

Therapeutic siRNAs are a major clinical modality for hepatic gene silencing, but efficient extrahepatic delivery and multi-gene modulation remain significant barriers. Nucleic acid nanotechnology offers programmable assembly, but conventional structures suffer from enzymatic instability in vivo . Here we report fully chemically modified RNA nanostructures (FMRNs): a vehicle-free platform entirely composed of stabilized therapeutic nucleic acids that integrate structural precision with metabolic durability. Following systemic administration, FMRNs exhibit enhanced pharmacokinetics and extrahepatic accumulation, with in vivo behavior influenced greatly by hydrodynamic size rather than molecular weight. Using triangular and square geometries, we demonstrate programmable control over siRNA stoichiometry to achieve sustained, simultaneous silencing of up to four genes from a single entity. Nanostructure assembly alone drives productive delivery, especially to heart and muscle, matching lipophilic conjugation. Furthermore, cerebrospinal fluid administration reveals that larger FMRNs improve central nervous system distribution and retention revealing physicochemical parameters that impact brain exposure. FMRNs establish a modular and effective platform combining improved pharmacokinetics, extrahepatic delivery, and multi-gene silencing for complex diseases.

Cholesteryl esters (CEs) are widely regarded as inert storage forms of cholesterol, yet their potential to directly engage cellular proteins remains largely unexplored. Here, we establish an integrated chemical proteomic platform to systematically define CE-protein interactions in mammalian cells. We developed and comparatively deployed three orthogonal photoaffinity labeling strategies: (i) metabolic assembly of a bifunctional CE probe through endogenous acyl-CoA:cholesterol acyltransferase activity, (ii) direct delivery of a structurally defined diazirine-alkyne CE analog, and (iii) fragment-assisted subtraction using sterol and fatty acyl control probes to resolve interactions dependent on the intact esterified scaffold. Each probe system was rigorously validated by lipidomics and UV-dependent crosslinking prior to quantitative proteomic analysis. Integration of these complementary modalities identified 495 CE-associated proteins spanning enzymes, transporters, scaffolding proteins, and canonical sterol-binding families. The limited overlap across strategies reveals that lipid-protein engagement is strongly conditioned by biosynthetic origin, probe topology, and intracellular routing. Functional and database annotations further demonstrate enrichment of druggable and disease-linked proteins, connecting CE interactions to metabolic, neurological, and cardiovascular pathways. Collectively, this work provides the first systems-level map of CE-protein interactions and establishes a generalizable, multimodal framework for chemically resolving lipid-protein interactomes.

The delivery of small-molecule therapeutics across cellular membranes remains a fundamental challenge in drug development, particularly for compounds whose physicochemical properties limit intracellular bioavailability. Inspired by the low toxicity, biodegradability, and synthetic accessibility of triethanolamine-derived lipids, we investigated a series of C18 aminotriester lipids as excipients for the codelivery of anticancer therapeutics. Four structurally related triester lipids bearing saturated, cis-monounsaturated, trans-monounsaturated, and di-unsaturated C18 tails were synthesized through straightforward esterification reactions with triethanolamine. These lipids were evaluated for their ability to enhance the antiproliferative activity of several anticancer agents, including paclitaxel, doxorubicin, amonafide, homoharringtonine, camptothecin, and SN-38. Across multiple drug classes, the aminotriester lipids exhibited minimal intrinsic cytotoxicity and generally produced limited enhancement of drug potency. However, the fully saturated tris-stearate aminotriester lipid selectively enhanced the antiproliferative activity of amonafide in HCT-116 colorectal cancer cells, particularly at lower concentrations. In contrast, unsaturated lipid analogues displayed negligible enhancement effects, and the activity of the tris-stearate lipid was substantially attenuated in A549 lung adenocarcinoma cells, weakly observed in HT-29 colorectal cancer cells, and absent in CT26 murine colorectal cancer cells. Lactate dehydrogenase release assays indicated that these effects were not associated with membrane lysis or nonspecific cytotoxicity. Further, fluorescence microscopy time course experiments suggest improved membrane trafficking of amonafide when codelivered stoichiometrically with fully saturated C18 aminotriester lipids. Collectively, these findings demonstrate that saturated triethanolamine-based aminotriester lipids may function as selective and biocompatible codelivery excipients for certain small-molecule therapeutics. The observed dependence on both lipid saturation state and cellular context suggests that membrane organization and lipid packing may play important roles in mediating these effects. These results establish a foundation for further mechanistic investigations into aminotriester lipid-assisted small-molecule delivery systems.

A broader understanding of RNA biology requires methods for visualizing transcript dynamics in native environments. Common imaging approaches rely on fluorescent probes that require excitation light and often depend on large aptamer arrays, limiting sensitivity and compatibility with many non-coding RNAs, particularly highly structured folds. To address these challenges, we developed a miniaturized bioluminescent platform for RNA imaging. This system employs a compact RNA tag that assembles luciferase fragments upon binding of monomeric RNA-binding proteins (RNA lanterns). Systematic optimization of the RNA component yielded a structured 24-nucleotide tag, representing greater than 3-fold reduction in size relative to the original C-11-B RNA tag, placing it among the smallest RNA imaging tags reported to date. The optimized tag enabled RNA-dependent bioluminescence detection in live cells, notably as a small, single insert within highly structured non-coding RNAs, including the MALAT1 ENE domain and a small HDV-like ribozyme. Collectively, this work establishes a miniaturized bioluminescent platform for imaging a broad range of RNA targets in living systems.

Chimeric antigen receptor (CAR)-T cells and CAR-macrophages (or CAR-monocytes) offer complementary antitumor functions. CAR-T cells exert potent cytotoxicity against cancer cells, whereas CAR-macrophages can infiltrate solid tumors, phagocytose cancer cells and promote antigen spreading. Antibody-conjugated lipid nanoparticles (LNPs) have emerged as non-viral mRNA delivery platforms for generating CAR-immune cells. However, these systems have generally been optimized to target a single immune-cell type. Here, to enable the ex vivo generation of CAR-T cells and CAR-monocytes, we developed CLCM08, an anti-CD222 antibody, and co-displayed it with an anti-CD5 antibody on LNPs. CD222 is predominantly expressed by monocytes, macrophages and T cells, and facilitates the internalization of CD222-binding molecules. CD5 is primarily expressed by T cells and has previously been used to enable LNP-mediated mRNA delivery to these cells. Delivery of CAR mRNA by dual CD222/CD5 antibody-conjugated LNPs to primary monocytes and T cells substantially enhanced the ex vivo generation of CAR-monocytes and CAR-T cells compared with non-conjugated LNPs. Moreover, CD19 CAR-T cells and CAR-monocytes generated using dual CD222/CD5 antibody-conjugated LNPs showed enhanced cytotoxic and phagocytic activity, respectively, relative to cells generated using non-conjugated LNPs, with anti-CD222 LNPs producing the largest phagocytic gain in monocytes. These findings establish an adaptable antibody-conjugated LNP-mRNA platform for the ex vivo generation of CAR-T cells and CAR-monocytes.

With its unique spatiotemporal resolution at the single-molecule level, Forster resonance energy transfer (FRET) is a powerful tool for investigating biomolecular conformational dynamics and function. However, early photobleaching remains a key limitation restricting the achievable observation time and therefore the information gain and application range of single-molecule FRET. Here, we establish nanophotonic DyeCycling, which overcomes photobleaching by reversible fluorophore binding and efficient background suppression using zero-mode waveguides. Nanoscale conformational changes are sensitively resolved from milliseconds up to the hour range, enabling robust kinetic analyses at the single-molecule level. As a result, outlier molecules reflecting static heterogeneity and time-dependent kinetics within individual molecules reflecting dynamic heterogeneity are reliably resolved. The versatility of DyeCycling is demonstrated using DNA and protein systems. Altogether, nanophotonic DyeCycling extends smFRET observations beyond the conventional photobleaching limit, revealing previously inaccessible kinetic effects and providing deeper insight into biomolecular systems with multiple states and rates.

Membrane tension, defined as the energy cost to expand the membrane surface area, is a fundamental mechanical property of the lipid bilayer and an important modulator of various cellular processes. Liposomes provide model systems to study protein-mediated membrane dynamics, where membrane tension can be controlled by osmotic pressure and micropipette aspiration. However, it is challenging to individually control membrane tension of nanometer-sized liposomes, such as small unilamellar vesicles (SUVs), that are widely used for modeling subcellular membrane structures and drug delivery. To bridge this technological gap, we present reconfigurable DNA origami rings for dynamically controlling membrane tension of sub-100 nm liposomes. The DNA nanorings template the formation of uniformly sized SUVs and undergo trigger-responsive dilation and contraction, thus applying controlled and reversible mechanical stress to the SUV membranes. Electron microscopy analyses show deformed liposomes with ~2.5% expanded membrane area following ring dilation. The corresponding increase in membrane tension opens a mechanosensitive ion channel MscL with gating tension of ~10 mN/m. Selectively manipulating a mixture of SUV populations enables timed release of their distinct molecular cargos, either concurrently or one at a time. Furthermore, vesicles with expanded membranes are more conducive to SNARE-mediated fusion. The nanomechanical device thus provides a programmable platform for engineering the mechanics of synthetic nano-vesicles and studying membrane tension modulated processes at the molecular level.

Proximity labeling (PL) methods utilize spatially targeted chemical or enzymatic generation of a diffusible, reactive intermediate to covalently tag neighboring proteins in living systems. Unlike other tools for studying molecular interactions, PL can detect transient protein relationships with high spatial and temporal sensitivity, allowing for insight into their roles in biological processes. However, current enzymatic PL tools, such as TurboID and APEX2, are limited by their substrate structure and chemistry, which can generate significant background and/or perturb cellular physiology. To address these limitations, we have developed aminoacyl-tRNA synthetase ID (aaRSID), a PL tool that leverages an engineered pyrrolysyl tRNA synthetase (PylRS) for proximity labeling of proteins. We chose PylRS because it can catalyze promiscuous lysine labeling in the absence of its cognate tRNA and utilize a variety of non-canonical amino acids (ncAAs) as substrates. Here, we demonstrate aaRSID's intrinsic proximity labeling activity, use directed evolution to improve this activity, and apply the improved mutant (aaRSID-Ma1.3) for subcellular proteomics and multiplexed imaging. Our work establishes aminoacyl-tRNA synthetases as a new PL enzyme class and introduces a versatile chemical platform for developing ncAA-derived probes to map cellular microenvironments, greatly expanding the applications possible of PL technology.

Cryo-electron tomography (cryo-ET) is a powerful approach to image cells, organelles, viruses and molecular assemblies. However, resolving smaller complexes and molecules is challenging and presents a roadblock to the broad application of cryo-ET. Gold nanoparticles (AuNPs) have been used to localize otherwise unidentifiable molecules and complexes in tomograms but are typically tethered to the target of interest via a flexible linker. As a result, the position of the AuNP does not directly define the location of the target. Here we attach AuNPs to Fab antibody fragments via cysteine residues on defined elements of secondary structure and show that the AuNPs are rigidly bound to the Fab. We use these Fab-AuNP conjugates to locate AMPA receptors and probe their conformation upon desensitization with sub nanometer resolution in tomograms derived from brain slice lamella. By harnessing small, homogeneous AuNPs with precise conjugation to a Fab, we have developed reagents that enable direct investigation of conformational states of previously unidentifiable biomolecules and complexes in tomograms.

Small multifunctional viral membrane proteins called viroporins are attractive drug targets but are difficult to structurally characterize in a lipid-bilayer environment. We have successfully reconstituted the full-length Envelope (E) protein from SARS-CoV-2 in a lipid-bilayer, co-assembled with a native host factor that binds to E, the PDZ domain 2 of ZO1. We have leveraged the enhancement afforded by dynamic nuclear polarization NMR to determine that the ensemble-averaged oligomer state of E is a pentamer. Complexing the protein with a host PDZ domain did not impact the oligomer state, but resulted in structuring of the last four residues of E, and immobilization of the PDZ domain near the lipid surface. Combined with secondary structure information derived from the chemical shifts, these data were used to model an E protein pentamer together with the PDZ protein dimer. Inclusion of a relevant host factor, as well as a complex lipid bilayer that mimics conditions in the ER-Golgi intermediate compartment, approaches native conditions, and addresses the ongoing controversy regarding the functional oligomer state in an infected cell.

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) poses a significant public health threat, with a fatality rate of 37% and no approved therapeutics. Non-structural protein 10 (nsp10) is an essential cofactor that activates both the nsp14 3'-5' exoribonuclease (ExoN) activity required for RNA proofreading and the nsp16 2'-O-methyltransferase (2'-O-MTase) implicated in viral RNA cap formation. Despite its functional importance, the unbound structure and dynamics of MERS-CoV nsp10 in solution remain uncharacterised. Here we report a near-complete NMR backbone and sidechain assignment and characterise the solution structure and dynamics of the protein by NMR. In contrast to the folded 1 helix observed in crystal structures of coronavirus nsp10, we find that this region is intrinsically disordered in solution, with residues 10-22 undetectable under standard conditions and further evidenced by pH titration, temperature-dependent NMR, and CLEANEX-PM experiments. Analysis of NOE contacts confirmed that the core adopts the conserved coronavirus nsp10 fold, consistent with the AlphaFold-predicted structure. 15N backbone relaxation measurements indicated a rigid, well-ordered core with only localised flexibility, despite a relatively low proportion of secondary structure elements, and CPMG and CEST experiments detected no conformational exchange on the s-ms timescale. Building on this structural and dynamic characterisation, we explored the ligandability of nsp10 by 19F NMR fragment screening. Screening of a 463-compound library identified 23 initial hits (4.97% hit rate), of which 20 were confirmed by 15N SOFAST-HMQC and eight gave quantifiable affinities by MST (Kd 0.5-6.9 mM), the remainder being too weak for reliable determination. Chemical shift perturbations clustered near functional surfaces of the folded core, indicating that MERS-CoV nsp10 is ligandable and providing chemical starting points for antiviral development.

Reactive metal-oxygen intermediates are central to metalloenzyme catalysis, yet their low populations and short lifetimes make vibrational characterization under aqueous reaction conditions challenging. Here, we establish shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS) as a powerful vibrational approach for visualizing reaction-associated metal-ligand signatures of reactive metalloenzyme states. Across the heme and non-heme iron enzymes TauD, VioC, CYP119, and TqaLNc, isotope-sensitive features provide vibrational information on reactive coordination states. In TauD and VioC, isotope-sensitive features provide vibrational characterization of Fe(IV)=O intermediates. In CYP119, an isotope-sensitive Fe(IV)=O vibration is assigned to P450 Compound I generated by m-CPBA, including under lauric-acid turnover conditions. Most notably, in TqaLNc, combined 18O- and 15N-sensitive vibrational responses support formation of the proposed (R)HN-Fe(IV)=O coordination state and the dynamic-coordination mechanism underlying selective C-N bond formation. These results demonstrate that SHINERS can serve as a powerful technique for the in situ vibrational visualization of reactive intermediates and their coordination states in metalloenzyme catalysis.

Cell-surface glycoRNAs participate in diverse biological processes, but they were investigated as pooled populations and the protein interactome of individual glycoRNA species remain unresolved. Here we develop GlycoRNA-Map, a programmable photocatalytic proximity-labeling method that maps proteins surrounding sequence-defined endogenous glycoRNAs on living cells. A sialic-acid-binding aptamer and an RNA-hybridization probe jointly recruit a fluorophore-modified oligonucleotide through dual recognition of the glycan and RNA moieties of glycoRNAs. Light-activated biotinylation followed by quantitative mass spectrometry identified 200-418 enriched proteins for each of five glycoRNAs in A549 cells. Comparison of these proteomes revealed limited overlap among different glycoRNA sequences and across cell types, demonstrating that glycoRNA-associated protein environments depend on both RNA identity and cellular context. Transforming growth factor-{beta} receptors 1 and 2 (TGFBR1 and TGFBR2) were identified in the proximal proteomes of multiple glycoRNAs. Removal of cell-surface RNAs enhanced TGF-{beta} receptor signaling and promoted cell migration, demonstrating that glycoRNAs can functionally regulate extracellular signaling by interacting with their protein neighborhoods. GlycoRNA-Map thus provides an accessible strategy for resolving sequence-specific glycoRNA-protein interactome and discovering their roles in membrane signaling.

The acquisition of sufficient nitrogen for growth, as well as the disposal of highly toxic nitrogen-containing degradation products, represent serious metabolic challenges in all multicellular organisms and microbial ecosystems. Understanding these processes requires a broadly applicable system to accurately quantify the concentration of a wide spectrum of biological amines and inorganic nitrogen-containing compounds. To date, this has been challenging due to limited specificity, selectivity, breadth and/or sensitivity of assays. Here we present a simple, optimized method based on liquid chromatography and high-resolution mass spectrometry, with an accompanying analysis pipeline, for the accurate quantification of more than 30 of these compounds, including ammonia. We demonstrate the effectiveness of this method in quantifying relevant nitrogen-containing compounds in mouse and human gut content, bacterial cultures, algal symbiosis in a cnidarian and freshwater ecosystem samples. As a proof-of-concept, we applied the method to study the influence of the gut microbiome on cecal nitrogen distribution in mice with different gnotobiotic microbiomes. This revealed a profound influence of gut microbiota composition on amino acid, ammonia, and amine concentrations in the upper large intestine. Overall, we provide a broadly applicable approach that can be used across microbial ecology fields to generate novel insights into the biology of nitrogen assimilation, exchange, and disposal.

The rapid expansion of mRNA-based medicines has driven demand for robust, high-resolution analytical methods capable of characterising critical quality attributes including sequence identity, 5[prime] capping efficiency, and poly(A) tail length and heterogeneity. Here, we present two complementary liquid chromatography-mass spectrometry based workflows for mRNA characterisation, both based on site-specific digestion with the endoribonuclease MazF from Escherichia coli. A middle-up approach, optimised via specific 5[prime]-ACA cleavage enables rapid characterisation via oligoribonucleotide mass mapping providing complete sequence coverage and simultaneous assessment of 5[prime]-capping efficiency and 3[prime]-poly(A) tail length and heterogeneity. This workflow was successfully applied to three different mRNA constructs, NLuc, eGFP and FLuc mRNAs, achieving sequence coverages of 100%, 87%, and 74%, respectively. A complementary bottom-up approach, employing less specific 5[prime]-ACX cleavage enables tandem mass spectrometry-based sequencing of shorter oligoribonucleotides and detailed characterisation via mRNA sequence mapping. Applied to SARS-CoV-2 Spike Protein mRNA, this method yielded 50% sequence coverage based on unique oligoribonucleotides with MazF alone, extended to 90% by combining MazF, partial RNase T1, and partial RNase U2 digests. Together, these workflows provide a flexible, orthogonal platform for both high-throughput quality assessment and in-depth primary sequence characterisation of mRNA vaccines and therapeutics.

Clinical studies have revealed that glioblastoma (GBM) is refractory to immunotherapy, such as immune checkpoint inhibitors (ICIs), due to the immunosuppressive tumor microenvironment (TME) primarily intensified by intratumoral upregulation of transforming growth factor-{beta} (TGF{beta}). Primary GBM tumor bulks are surgically removed in clinic, but invasive tumor cells infiltrated into surrounding normal brain tissue cannot be eradicated by systemic therapy due to the integral blood-brain barrier (BBB), leading to near-inevitable tumor recurrence. To address these translational challenges, we have engineered a TGF{beta}-inhibiting protein nanocage comprising human heavy-chain ferritin protein and TGF{beta} receptor II ectodomain that enables BBB penetration and multivalent TGF{beta} entrapment, respectively. We demonstrate that the nanocage platform, denoted T{beta}R2-HFt, following systemic administration, traverses the BBB, and extensively modulates immunosuppressive TME, both stromal and immune components, thereby potentiating the therapeutic efficacy of a clinically used ICI in multiple mouse glioma models. Notably, a majority of the glioma-bearing animals that received surgical tumor resection, followed by treatment with T{beta}R2-HFt and the ICI, survived the tumor and resisted tumor rechallenge, providing a potential means to control GBM in a durable manner.