Abstract
The cytosolic delivery of therapeutic proteins remains one of the most persistent challenges in modern drug delivery. Here, we report the discovery and characterization of an encapsulin-based protein nanocage, QtEnc, with unexpected permeability properties and the ability to internalize cargo proteins in vitro, fundamentally departing from existing protein nanocage cargo loading paradigms. This permeability enables simple, rapid, and single-step post-assembly cargo loading, accommodating cargos as large as 482 kDa, and allowing multiplexed cargo co-encapsulation with tunable ratios. Leveraging this property, we develop a modular QtEnc-based NanoCarrier (QtEncNC) with a pH-responsive cargo detachment module and an endosomal escape module, enabling low pH-triggered cargo release from assembled shells and subsequent endosomal escape for cytosolic delivery. Using a cytotoxic protein, BLF1, as a proof-of-concept QtEncNC payload, we demonstrate efficient cytosolic protein delivery in HeLa cells. These findings establish QtEncNC as a versatile and modular platform for cytosolic protein delivery with broad biomedical potential.
Nanocarrier-based drug delivery systems represent an innovative approach in modern medicine for the targeted delivery and controlled release of therapeutics.1,2 Biologics in particular can benefit from the protection,3 targeting ability,4 increase in bioavailability,5 and enhanced circulation times6 provided by different nanocarrier platforms. Nanocarriers have the potential to enhance the efficacy and safety of drugs while decreasing side effects.1,7 Whereas some nanocarrier-based drugs can be successfully aimed at extracellular targets,8 accomplishing cytosolic delivery of especially therapeutic proteins has remained challenging.9 As the cellular uptake of many nanocarriers is mediated by endocytic pathways,10 achieving triggered and appropriately timed drug release and endosomal escape represent formidable challenges. Considering that the majority of therapeutic targets are found within cells,11 designing nanocarriers capable of efficient cytosolic delivery has the potential to provide innovative solutions to many challenges in cancer therapy,12 enzyme replacement therapy,13 immunotherapy,14 gene editing,15 and vaccine development.16
The inherent difficulty of cytosolic drug delivery makes the continued discovery, design and engineering of novel potential nanocarrier systems an important strategy to advance the field. One such system are encapsulins, a fairly recently discovered class of natively protein-loaded prokaryotic nanocompartments.17 Encapsulin shell proteins self-assemble into icosahedral nanocages ranging in size from ca. 20 to 45 nm in diameter with triangulation numbers of T = 1 (60 subunits), T = 3 (180 subunits), or T = 4 (240 subunits).18,19 Their eponymous feature is the ability to specifically encapsulate dedicated cargo proteins in vivo.20 All native cargos contain cargo loading peptides (CLPs) that mediate encapsulation during shell self-assembly inside prokaryotic cells.21 As CLPs are highly modular, they have been utilized to package non-native cargo proteins into encapsulin shells by genetically fusing CLPs to proteins of interest.22–26 Importantly for engineering applications, encapsulin shells are often highly robust and have been modified through genetic insertions27,28 or fusions29,30 and chemical conjugation31 without disrupting cargo loading or shell assembly. While various ways of conferring targeting capabilities to encapsulins have been explored and applied in cell culture settings,28,32,33 cytosolic cargo delivery—especially of proteins—has remained challenging. This is likely due to the difficulty of engineering shells to undergo stimulus-triggered disassembly, achieving efficient cargo-shell detachment, and enabling endosomal escape of the released cargo within a single nanocage platform.
Here, we report the discovery and characterization of a permeable encapsulin-based protein nanocage, QtEnc,34 and its application as a nanocarrier for cytosolic protein delivery. We highlight QtEnc’s ability to efficiently internalize diverse cargo proteins in vitro, an unprecedented encapsulin property that enables simple postshell assembly cargo loading that fundamentally differs from existing protein nanocage cargo loading paradigms. We further demonstrate that this in vitro loading mode can accommodate a wide range of cargo sizes and allows multiplexed cargo loading. Building on these properties, we rationally designed a modular QtEnc-based NanoCarrier (QtEncNC) for cytosolic protein delivery, which exhibits efficient cellular uptake, promotes endosome-specific cargo release without requiring shell disassembly, and ultimately achieves cytosolic protein delivery. Together, these findings establish QtEncNC as a versatile and modular platform with broad potential across diverse biomedical application areas, including cancer therapy, enzyme replacement therapy, and beyond.
QtEnc shells can internalize proteins in vitro
The QtEnc iron storage encapsulin system is encoded by a three-gene operon found in Quasibacillus thermotolerans and consists of the encapsulin shell protein QtEnc, the primary ferroxidase cargo protein IMEF, and a minor 2Fe-2S ferredoxin cargo (Fdx) (Fig. 1a). The QtEnc shell self-assembles into a 240 subunit 42 nm icosahedral shell (T = 4) with one internal CLP binding site per subunit. It has previously been shown that IMEF-loaded QtEnc shells can sequester large amounts of internalized ferric iron in the form of mineralized ferrihydrite, playing an important role in cellular iron storage and homeostasis.34 The function of Fdx is still unknown but in analogy to the ferredoxin-mediated iron release from bacterioferritin cages,35 a role of Fdx in transferring electrons into the QtEnc shell has been proposed. This would allow the reduction, solubilization, and re-mobilization of stored iron. While IMEF possesses a C-terminal CLP, Fdx is the only known encapsulin cargo carrying a CLP at its N-terminus (Fig. 1a). Both CLPs possess identical core CLP motifs (TVGSL) crucial for cargo loading. Fdx is composed of a 39-residues long disordered N-terminal extension—within which the CLP core motif resides—and a C-terminal globular 2Fe-2S domain (Fig. 1b).
Fig. 1. QtEnc shells can internalize proteins in vitro.
a, Schematic of the encapsulin operon in Quasibacillus thermotolerans. The operon encodes the cargo IMEF with a C-terminal cargo loading peptide (CLP), the encapsulin shell protein (ENC), and the cargo Fdx with an N-terminal CLP. The core CLP motif (TVGSL) present in both IMEF and Fdx is highlighted. b, Alpha Fold predicted structure of Fdx highlighting the CLP located within a long disordered N-terminal extension. c, Empty QtEnc and IMEF-loaded QtEnc were incubated with Fdx, followed by size exclusion chromatography (SEC) analysis. Representative normalized SEC traces (purple: QtEnc; green: QtEnc-IMEF) are shown, with filled and outlined arrows indicating the void volume where QtEnc shells elute and free Fdx elution volume, respectively. This experiment was repeated independently three times. A280: absorbance at 280 nm. d, Representative SDS-PAGE analysis of fractions corresponding to the indicated arrows in the SEC traces shown in panel c, demonstrating the co-elution of in vitro added Fdx with both empty QtEnc and IMEF-loaded QtEnc. This experiment was repeated independently three times. M: protein marker. e, Representative cryo-EM micrograph of in vitro Fdx-loaded QtEnc highlighting intact and properly assembled shells. f, Cutaway view of the cryo-EM map of in vitro Fdx-loaded QtEnc, highlighting internal CLP densities in blue confirming Fdx internalization. g, Hydrophobic surface representation of a QtEnc protomer with bound Fdx CLP shown in ribbon representation. The core CLP motif (TVGSL) is highlighted in gray and additional resolvable residues in cyan. h, Schematic illustrating the post-assembly in vitro loading of Fdx into both empty and IMEF-loaded QtEnc shells.
In the course of investigating the function of Fdx within the context of iron release from QtEnc shells, we carried out in vitro protein-protein interaction studies using separately purified QtEnc shells and Fdx. In vitro incubation of the two proteins (1:1 molar ratio; 30 min at 4°C), followed by size exclusion chromatography (SEC) and SDS-PAGE analysis, indicated that QtEnc and Fdx form a stable complex, as evidenced by the co-elution of Fdx (13.4 kDa) with the QtEnc shell (7.7 MDa) in the SEC void volume (Fig. 1, c and d). Similar results were obtained when testing the interaction between in vivo IMEF-loaded QtEnc shells and Fdx, indicating that the apparent QtEnc-Fdx interaction was not disrupted by the presence of the primary QtEnc cargo IMEF. To visualize the QtEnc-Fdx interaction, we carried out single particle cryo-EM analysis of in vitro assembled QtEnc-Fdx complexes. Raw micrographs highlighted properly assembled and homogeneous QtEnc shells (Fig. 1e). To our surprise, no indication of externally bound Fdx could be detected in the resulting 2.47 Å cryo-EM map (Fig. 1f and Supplementary Fig. 1). Instead, strong density for the Fdx CLP, located at all conserved interior CLP binding sites within the QtEnc shell, could be observed (Fig. 1g). The presence of internal Fdx CLP density suggests that Fdx has gained access to the interior of the QtEnc shell. As Fdx is the only native encapsulin cargo known to date to carry an N-terminal CLP—all other known cargos possess C-terminal CLPs—our structural analysis represents the first visualization of an N-terminal CLP-shell interaction. While the CLP core motif (TVGSL) of Fdx interacts in a similar manner to that of the primary QtEnc cargo IMEF, the linker positions, connecting the CLPs to their respective globular cargo domains, are reversed. In addition, more CLP residues could be confidently modeled for the Fdx CLP-shell interaction than for the previously reported IMEF CLP-shell interaction—11 residues (Fdx) vs 7 residues (IMEF)—potentially due to the reversed linker attachment within the Fdx CLP. Taken together, these results suggest that Fdx can be efficiently internalized into apparently assembled QtEnc shells in vitro, representing a previously unknown cargo loading mode for encapsulin systems (Fig. 1h).
In vitro cargo loading is fast and CLP-dependent
To investigate if the observed in vitro internalization of Fdx into QtEnc shells is dependent on its globular ferredoxin domain, its disordered CLP-containing N-terminal extension, or both, a series of test constructs were prepared and subjected to in vitro loading experiments (Fig. 2a). To test if the ferredoxin domain alone can mediate cargo loading and entrapment within QtEnc shells, the N-terminal extension was deleted yielding ΔN-Fdx. To determine the importance of the N-terminal extension and the CLP, the full-length N-terminal extension of Fdx, or a shortened variant thereof containing a minimal CLP (11 residues resolved by Cryo-EM), were N-terminally fused to Small Ubiquitin-like Modifier (SUMO) to be used as test cargos. In addition, the C-terminal CLP of the primary QtEnc cargo IMEF—which shares an identical core CLP motif (TVGSL) with the Fdx CLP—was fused to the C-terminus of SUMO. All four constructs were separately incubated with QtEnc shells in vitro (2:1 (cargo:QtEnc) molar ratio; 30 min at 4°C) and subsequently subjected to SEC and SDS-PAGE analysis. While no cargo internalization could be observed for ΔN-Fdx, all three CLP-containing SUMO constructs exhibited efficient cargo loading (ca. 65% CLP occupancy) under the tested conditions (Fig. 2a). These results demonstrate that the globular ferredoxin domain is not required for cargo internalization, and that a core CLP motif fused to either the N- or C-terminus of a non-native cargo protein is sufficient for in vitro loading.
Fig. 2. Characterizing determinants of in vitro cargo loading.
a, SEC and SDS-PAGE analyses were used to determine the importance of the presence and position of CLPs in cargos for successful in vitro cargo loading. QtEnc was incubated with ΔN-Fdx (N-terminal extension truncated), CLP-SUMO, CLPmin-SUMO, or SUMO-CLP, followed by SEC analysis (CLP sequences and fusion positions shown on top). Representative normalized SEC traces of loading reactions are shown with filled and outlined arrows indicating the void volume and free cargo elution volume, respectively (bottom left). Representative SDS-PAGE gels of fractions highlighted in SEC traces (bottom right). The results indicate that the core CLP motif is sufficient for in vitro cargo loading. All experiments were repeated independently three times. b, In vitro cargo loading capability was tested across different encapsulin systems, including T=1 (TmEnc) and T=3 (MxEnc) encapsulins with smaller shell sizes, as well as IMEF (BmEnc) and non-IMEF (DqEnc) T=4 encapsulins. SUMO constructs C-terminally fused to their respective native CLPs were used as test cargos. Representative normalized SEC traces are shown, with filled and outlined arrows indicating the void volume and free cargo elution volume, respectively (right). Representative SDS-PAGE gels of the corresponding fractions are shown. The results indicate that MxEnc and BmEnc can be cargo loaded in vitro, whereas TmEnc and DqEnc cannot be in vitro loaded. All experiments were repeated independently three times. c, Schematic illustrating the SpyTag002/SpyCatcher002-based assay used to determine the timescale required for in vitro cargo loading into QtEnc. SpyCatcher002-CLP-loaded QtEnc was mixed with SpyTag002-MBP (maltose binding protein), either with or without fused CLP, for defined time periods, followed by SDS-PAGE analysis to quantify formation of the conjugation product. d, Representative SDS-PAGE gels showing the formation of the conjugation products over time. Top: loading experiment with cargo carrying a CLP (w CLP). Bottom: loading experiment with cargo not carrying a CLP (w/o CLP). e, Quantification of conjugation product formation per shell over time, based on gel densitometry. The results indicate that cargo internalization is not triggered by the presence of an external CLP and that a cargo loading plateau is achieved on a timescale of approximately one hour. Data are shown as mean values, with error bars representing the standard deviation of three independent experiments.
To explore if the ability to internalize cargo in vitro is unique to the QtEnc system or potentially also found in other encapsulins, we carried out in vitro loading experiments with a selection of diverse structurally characterized encapsulin shells (Fig. 2b). We tested T = 1 (TmEnc),36 T = 3 (MxEnc),37,38 and other T = 4 (DqEnc and BmEnc)39 encapsulins to investigate if shell size is a determinant of in vitro loading ability. Further, we assayed if the type of encapsulin system, as determined by the type of native cargo, plays a role in an encapsulin’s in vitro loading capability by testing both IMEF (BmEnc) and non-IMEF (DqEnc) T = 4 encapsulin shells.39 Using SUMO constructs C-terminally fused to the respective native CLPs of each encapsulin system as test cargos, we found that MxEnc and BmEnc exhibited detectable in vitro cargo loading, whereas TmEnc and DqEnc did not (Fig. 2b and Supplementary Fig. 2). We hypothesize that shell permeability may be linked to the structural dynamics and stability of the shell, and that larger encapsulins with higher triangulation numbers may have a greater propensity to exhibit shell permeability. Beyond this structural consideration, shell permeability may also be related to the native biological function of an encapsulin system. Although QtEnc, BmEnc, and DqEnc are currently the only reported T = 4 encapsulins—making broad generalization difficult—the fact that both T = 4 IMEF encapsulins (QtEnc and BmEnc) exhibit cargo permeability while DqEnc does not, may hint at the possibility that certain encapsulins have evolved distinct shell properties needed to facilitate their native functions, in this case with respect to iron storage or release in T = 4 IMEF encapsulins.
To gain a deeper understanding of the time scale required for in vitro loading into QtEnc shells, time course experiments were carried out utilizing a SpyTag/SpyCatcher system—in particular, SpyTag002/SpyCatcher00240—to covalently trap internalized cargo (Fig. 2c). In detail, CLP-tagged SpyCatcher was first loaded into QtEnc shells in vitro and purified by SEC. Subsequently, SpyTag-maltose binding protein (MBP) fusion constructs, with or without a CLP (SpyTag-MBP-CLP and SpyTag-MBP), were used to probe in vitro loading into SpyCatcher-loaded QtEnc shells. Upon internalization, the SpyTag portion of the cargo would be rapidly covalently conjugated to luminal SpyCatcher (SpyTag002/SpyCatcher002 rate constant: 2.0 ± 0.2 × 104 M−1 s−1),40 ensuring that cargo internalization—rather than conjugation—is the rate-limiting step and generating an easily detectable readout in the form of a novel higher molecular weight conjugation product. At defined time points, samples were collected and subjected to SDS-PAGE analysis to quantify conjugation product formation over time (Fig. 2d). A cargo loading plateau was reached within ca. 40 min for both SpyTag-MBP constructs, with the CLP-tagged cargo reaching a higher loading plateau than its untagged counterpart (Fig. 2e and Supplementary Fig. 3). The conjugation observed for the untagged cargo indicates that cargo internalization is not triggered by the presence of an external CLP, confirming that cargo uptake is an intrinsic property of the QtEnc shell.
Efficient in vitro loading can be achieved over a broad cargo size range
To explore the size range of cargos amenable to in vitro loading, five proteins spanning a broad range of molecular weights (MW) and sizes—SUMO-CLP (14 kDa, 4 nm), mNeonGreen-CLP (30 kDa, 5.5 nm), Anthrolysin O-CLP (56 kDa, 12 nm), CLP-MerA (mercury reductase A) (126 kDa, 12 nm), and β-galactosidase-CLP (482 kDa, 18 nm)—were used as test cargos (Fig. 3a). All test cargos carried C-terminal IMEF CLP, with the exception of MerA, for which a shortened N-terminal Fdx CLP was used instead because of the catalytic importance of its C-terminus. Respective cargos were incubated with QtEnc shells (2:1 (cargo:QtEnc) molar ratio; 2 h at 4°C), followed by SEC and SDS-PAGE analysis (Fig. 3, b and c). Notably, all tested cargos could be successfully loaded into QtEnc shells, even the very large tetrameric β-galactosidase complex as visualized via negative-stain transmission electron microscopy (Fig. 3d), with loading occupancy being inversely proportional to cargo MW and size (Fig. 3e). The fact that large cargos can be loaded in vitro highlights the generalizability of this newly discovered in vitro cargo loading approach and also implies that substantial, yet transient structural changes must occur within the QtEnc shell to allow the internalization of such large protein complexes.
Fig 3. Investigating the influence of cargo size on in vitro cargo loading.
a, Structures of the five cargos tested for in vitro loading, ranging from 14 kDa to 482 kDa and 4 to 18 nm in size, shown in surface representation. A section of the QtEnc shell is shown on the right for scale comparison. b, Representative normalized SEC traces for in vitro loading experiments of the five test cargos. Filled colored arrows, matching the cargo colors shown in panel a indicate the void volume. Experiments were repeated independently three times. c, Representative SDS-PAGE gel of void fractions demonstrating that all tested cargos were successfully loaded. This experiment was repeated independently three times. d, Representative negative stain micrograph of β-galactosidase-loaded QtEnc highlighting large, internalized protein densities. e, Quantification of cargo loading based on CLP binding site occupancy (one binding site per shell protein) of each tested cargo, determined by gel densitometry. The results indicate that cargo loading occupancy is inversely proportional to cargo molecular weight and size. Data are shown as mean values, with error bars representing the standard deviation of three independent experiments.
Controlled multiplexed in vitro loading of QtEnc shells
We next set out to test if multiple distinct cargos could be simultaneously co-loaded in vitro and if their relative loading ratios could be modulated by simply varying their relative amounts in the loading mixture. Utilizing C-terminal CLP-tagged mTagBFP2 and mNeonGreen as test cargos, co-loading experiments were carried out at three different cargo ratios (mTagBFP2:mNeonGreen:QtEnc = 4:2:6, 3:3:6, and 2:4:6) (Fig. 4a). The resulting samples were purified by SEC and analyzed by absorbancebased quantification of fluorescent proteins alongside SDS-PAGE analysis (Fig. 4b). We found that both cargos could be simultaneously internalized into QtEnc shells and that the apparent ratio of co-loaded cargos could be modulated by simply adjusting their proportions in the in vitro loading mixture. To confirm that true co-loaded shells are produced—and not two separate populations of mTagBFP2- and mNeonGreen-loaded shells—Förster resonance energy transfer (FRET) experiments were carried out. Colocalization of both cargos within the QtEnc shell lumen would place mTagBFP2 (λEx = 399 nm; λEm = 454 nm) in close proximity to mNeonGreen (λEx = 506 nm; λEm = 517 nm) enabling FRET, with mTagBFP2 acting as the donor and mNeonGreen as the acceptor. Upon excitation at 399 nm and emission detection at 517 nm, a clear FRET signal—ca. four-fold higher than background—was detected in the co-loaded sample (mTagBFP2:mNeonGreen:QtEnc protomer = 3:3:6) but not in control samples (Fig. 4c). To further explore the multiplexing capacity of QtEnc in vitro loading, the number of coloaded cargos was increased to three by adding mCherry (λEx = 587 nm; λEm = 610 nm), and three-color FRET (excitation at 399 nm; emission detection at 610 nm) was employed to probe mixed co-localization within QtEnc shells. A clear FRET signal, ca. three-fold above background, was detected, confirming the simultaneous cointernalization of all three distinct cargos (Fig. 4d).
Fig 4. Controlled multiplexed in vitro loading of QtEnc shells.
a, Schematic illustrating the in vitro co-loading of mNeonGreen and mTagBFP2 at varying ratios. b, Quantification of co-loading reactions showing the relative fluorescence of mNeonGreen and mTagBFP2 for three different co-loading ratio samples, with representative SDS-PAGE analysis of the corresponding samples shown below. The results indicate that the apparent ratio of co-loaded cargos can be modulated by adjusting the input ratios in the in vitro loading mixture. Data are shown as mean values, with error bars representing the standard deviation of three independent experiments. c, Confirmation of co-loading and co-localization via FRET analysis (excitation: 399 nm, emission: 517 nm) for the indicated samples. Preceding underscores indicate loaded cargos. Data are shown as mean values, with error bars representing the standard deviation of three independent experiments. d, Confirmation of triple cargo co-loading and co-localization inside QtEnc. via FRET analysis (excitation: 399 nm, emission: 610 nm) for the indicated samples. Data are shown as mean values, with error bars representing the standard deviation of three independent experiments.
QtEnc shells increase the stability of internalized cargo
One of the primary advantages of cargo protein encapsulation is protection from proteolytic degradation and other harsh environmental conditions.40,41 This protection is typically attributed to the shell acting as a rigid physical barrier that limits the access of external factors, such as proteases, to the encapsulated cargo. We therefore asked whether the QtEnc shell can still confer protection to encapsulated cargo despite its permeable nature. To this end, free mNeonGreen and mNeonGreen-loaded QtEnc were incubated with the protease trypsin at 37°C, and samples collected at defined time points were analyzed by denaturing gel electrophoresis to assess the extent of mNeonGreen degradation (Supplementary Fig. 4). Within 10 min, free mNeonGreen was completely cleaved, with no intact full-length protein detectable, and was progressively degraded to smaller fragments thereafter. In contrast, full-length mNeonGreen remained detectable even after 2 h of incubation when loaded inside QtEnc. We hypothesize that the enhanced protection of QtEnc-loaded mNeonGreen relative to free mNeonGreen results from CLP-mediated tethering of the cargo to the shell interior, which likely substantially limits the protease-accessible, exposed regions of the cargo.
Efficient low pH-triggered cargo release from QtEnc shells
Having characterized the permeable nature of the QtEnc shell, we reasoned that beyond in vitro cargo loading, this property would also be useful for efficiently releasing cargo from the QtEnc shell without the need for shell disassembly, if an appropriate way of detaching cargo proteins from their CLPs could be found. Such a system would be particularly useful in the context of nanocarrier design for cytosolic protein delivery. For efficient protein nanocage-based cytosolic protein delivery, an important but often overlooked step is cargo-shell detachment. Without timely detachment, cargos may remain entrapped within endosomes and be trafficked to phagolysosomes, where they are ultimately degraded.42 To achieve timely cargo-shell detachment and allow cargo release from the QtEnc shell, we incorporated a point-mutated (G150N) pHIntein (hereafter referred to as pHIntein) into the cargo.43 pHIntein is a protein capable of self-cleaving its C-terminus under acidic conditions (pH 5-6). When N-terminally fusing a CLP and C-terminally fusing a protein of interest (POI) to pHIntein, this cleavage would result in the pH-triggered detachment of the CLP-pHIntein from the POI cargo (Fig. 5a). We envisioned that pHIntein-based cargo, with the permeable QtEnc shell, would together allow endosome-specific, acid-triggered release of the POI via pHIntein cleavage, followed by POI escape from the shell facilitated by its intrinsic permeability (Fig. 5b). Specifically, the cargo was designed with the following domain order from the N- to the C-terminus: an N-terminal minimal Fdx CLP, pHIntein, and the POI. Using mNeonGreen as the POI, we first evaluated the acid-triggered cleavage activity of pHIntein. At pH 6 and 37°C, approximately 85% of the unencapsulated cargo was cleaved within 3 h, whereas at pH 7.5 only 28% was cleaved, consistent with the reported pH-triggered cleavage efficiency (Supplementary Fig. 5).43 Using the same cargo construct (CLP-pHIntein-mNeonGreen), we then tested whether the permeable QtEnc shell enables not only in vitro cargo loading but also POI release. QtEnc loaded with CLP-pHIntein-mNeonGreen was incubated at pH 6 and 37°C for 3 h, followed by SEC to separate released mNeonGreen from the QtEnc shell. The SEC profile, together with the corresponding SDS-PAGE analysis, indicated that the loaded CLP-pHIntein-mNeonGreen was efficiently cleaved, with a cleavage efficiency comparable to that of the free cargo, and that the untethered mNeonGreen was quantitatively released from the shell (Fig. 5c).
Fig 5. A pHIntein-based cargo detachment module enables low pH-triggered cargo release.
a, Schematic illustrating the low pH-triggered C-terminal cleavage activity of pHIntein, releasing the C-terminally fused protein of interest (POI). b, Schematic illustrating the steps of POI (mNeonGreen: mNG) loading, detachment, and release from the QtEnc shell under acidic conditions, mediated by QtEnc shell permeability and pHIntein cleavage activity. c, The numbered steps shown in panel b were examined using SDS-PAGE analysis and SEC. Representative gels and SEC traces are shown. Samples in the SDS-PAGE gels are annotated with numbers (1: cargo loaded QtEnc, 2: sample after low pH incubation and before SEC separation, 3: QtEnc-containing void SEC fraction, 4: released mNG-containing fraction, no longer associated with QtEnc) corresponding to the labeled steps and SEC fractions. Successful in vitro cargo loading, cargo detachment, and release from the QtEnc shell were confirmed using pHIntein–mNeonGreen as a proof-of-concept cargo. Experiments were replicated three times independently.
A rationally designed QtEnc-based nanocarrier for cytosolic protein delivery
Given the downstream goal of cytosolic delivery, we further modified the cargo by incorporating fusogenic peptides to promote endosomal escape of the untethered and released POI. Two different fusogenic peptides, TAT-S19 and GALA3, were evaluated by inserting the fusogenic peptide between pHIntein and mNeonGreen (Fig. 6a).44,45 SEC-based POI release experiments were then repeated using QtEnc loaded with cargos containing the respective fusogenic peptides (Fig. 6, b and c). Both cargo constructs exhibited efficient pHIntein cleavage. Whereas untethered GALA3-mNeonGreen was quantitatively released from the shell (Fig. 6b), untethered TAT-S19-mNeonGreen unexpectedly remained trapped within the shell (Fig. 6c). We reason that this outcome arises from the aggregation propensity of the TAT-S19 peptide,44 which likely causes the TAT-S19-mNeonGreen to form large aggregates inside the shell, thereby preventing its escape.
Fig 6. A rationally designed QtEnc-based nanocarrier for cytosolic protein delivery.
a, Schematic illustrating the role of the endosomal escape module (EEM) in delivering the POI to the cytosol. Sequences of the two EEMs tested in this study, TAT-S19 and GALA3, are shown in the table, with charged residues highlighted. b-c, Low pH cargo release tests performed using TAT-S19 (b) and GALA3 (c) as EEMs, with mNeonGreen as the protein of interest (POI). Representative SDS-PAGE gels and SEC traces indicate that mNeonGreen was successfully released only when GALA3 was used as an EEM, highlighting the importance of selecting an EEM that does not tend to aggregate under high local molarities or low pH. Experiments were repeated three times independently. d, Schematic illustrating the rationally designed QtEnc-based nanocarrier for cytosolic protein delivery and the individual steps involved. e, Schematic illustrating the importance of the tested negative controls for the cargo detachment module (CDM, pHIntein) and EEM (GALA3). Inactivation of either module results in failure of cytosolic delivery of the POI (Burkholderia Lethal Factor 1: BLF1). f, Cell viability quantification via PrestoBlue-based cell viability assays performed on HeLa cells incubated for 72 h with QtEnc loaded with either pHIntein-GALA3-BLF1, (Dead)-pHIntein-GALA3-BLF1, or pHIntein-BLF1 at varying concentrations. QtEnc loaded with pHIntein-GALA3-BLF1 elicited the highest cytotoxic effect compared with the two control conditions, confirming the importance of both the CDM and EEM modules in the QtEnc-based nanocarrier design. Data are shown as mean values, with error bars representing the standard deviation of three independent experiments. g) Representative raw images of HeLa cells taken at the 72 h time point after incubation with 3 μM (with respect to BLF1) QtEnc loaded with either pHIntein-GALA3-BLF1, (Dead)-pHIntein-GALA3-BLF1, or pHIntein-BLF1.
Having demonstrated the utility of the permeable QtEnc shell as a pH-triggered POI release system, we next designed a QtEnc-based NanoCarrier (QtEncNC) as a modular platform for cytosolic protein delivery (Fig. 6d). The QtEncNC test cargo was designed with the following domain architecture, arranged from N- to C-terminus: a CLP for in vitro loading into the QtEnc shell (here: the minimal N-terminal Fdx CLP), a Cargo Detachment Module (CDM) for stimulus-triggered POI untethering (here: pHIntein), an Endosomal Escape Module (EEM) to promote endosomal escape of the released POI (here: GALA3), and the POI itself, which can be any therapeutic protein that exerts its effect in the cytosol. As a test POI, we selected the cytotoxic protein Burkholderia Lethal Factor 1 (BLF1) which irreversibly modifies the eukaryotic translation initiation factor eIF4a and needs to reach the cytosol to exert its effect.46 The QtEncNC mechanism of action is initiated by endocytosis of cargo-loaded QtEnc shells, consistent with the general propensity of protein nanocages in this size range to be taken up by cells via non-specific endocytic pathways.10 Following endocytosis, endosomal acidification triggers pHIntein self-cleavage, detaching the EEM-fused POI from the shell-bound pHIntein. Subsequently, the EEM-fused POI escapes the QtEnc shell via its inherent permeability, then escapes the endosome and enters the cytosol through the action of the EEM. As a proof of concept, we constructed the QtEncNC test cargo in the following domain arrangement: (N)-CLP-pHIntein-GALA3-BLF1-(C). To validate this design, we first confirmed that GALA3-BLF1 can quantitatively escape the QtEnc shell upon pHIntein cleavage, with no indication of aggregation (Supplementary Fig. 6). To assess the individual contributions of the CDM and EEM to cytosolic delivery, two control constructs were prepared (Fig. 6e). To evaluate the importance of the CDM, a catalytically inactive pHIntein variant was generated by introducing a point mutation ((Dead)-pHIntein), which abolishes acid-triggered self-cleavage and thereby prevents detachment and shell escape of the EEM-fused POI (Supplementary Fig. 6). To evaluate the importance of the EEM, GALA3 was omitted from the construct. Although acid-triggered POI detachment and subsequent shell escape are expected to proceed normally (Supplementary Fig. 6), endosomal escape of the shell-released POI would be less efficient or prevented in the absence of the EEM. Three QtEncNC variants, each loaded with one of the three cargo constructs, were prepared and incubated with HeLa cells at varying concentrations, normalized to the amount of BLF1. After 72 hours, cell morphology was assessed by bright-field microscopy and cell viability was measured via PrestoBlue assay. Cell viability results revealed a clear and concentration-dependent cytotoxic effect for QtEncNC carrying the complete cargo construct (CLP-pHIntein-GALA3-BLF1), whereas both control constructs exhibited attenuated cytotoxicity across all tested concentrations (Fig. 6f). At 1 μM BLF1, the complete construct reduced cell viability to ca. 60%, while the CDM-deficient control ((Dead)pHIntein-GALA3-BLF1) and the EEM-deficient control (pHIntein-BLF1) retained cell viabilities of ca. 88% and ca. 81%, respectively. The difference became even more pronounced at 3 μM, where the complete construct reduced cell viability to ca. 25%, compared to ca. 73% and ca. 64% for the CDM- and EEM-deficient controls, respectively. Bright-field microscopy of cells treated at 3 μM further corroborated these findings, revealing marked morphological changes consistent with cytotoxicity in cells treated with the complete construct, but not in those treated with either control (Fig. 6g). Collectively, these results demonstrate that QtEncNC represents an effective and modular platform for cytosolic protein delivery, with both the CDM and EEM being important for optimal function.
Conclusion
In this study, we report that select encapsulin shells, including QtEnc, exhibit unexpected permeability properties that enable fundamentally different modes of cargo loading and release when compared to previously described protein nanocage systems. Existing approaches for loading non-native cargo proteins into protein nanocages have relied on shell disassembly under harsh conditions followed by reassembly,47 co-expression strategies requiring careful optimization of expression ratios and/or timing between shell protomer and cargo induction,20 or the use of additional triggering components to initiate assembly.48 In contrast, the permeable nature of QtEnc enables simple, rapid, and single-step in vitro cargo loading by mixing the QtEnc shell with a cargo bearing a short CLP core motif fused to either its N- or C-terminus. The minimal size of the required CLP core motif (5 residues) is a particularly attractive feature, as it is unlikely to interfere with the folding or function of the cargo protein. Furthermore, in vitro cargo internalization into QtEnc shells reaches a loading plateau within hours at 4°C. The broad applicability of this in vitro loading approach was demonstrated by the successful encapsulation of cargo proteins spanning a wide size range, from 14 kDa to 482 kDa. Additionally, multiplexed cargo co-encapsulation with tunable loading ratios was readily achieved, a feature that could be particularly valuable for applications such as multi-enzyme nanoreactors requiring the co-localization of multiple catalytic components. Despite its permeable nature, QtEnc was also shown to confer substantial proteolytic protection to encapsulated cargo.
Building on these discoveries, we leveraged the permeable nature of QtEnc to develop a modular QtEnc-based NanoCarrier (QtEncNC) for cytosolic protein delivery—a strategy that circumvents the need to engineer nanocages for endosomal stimulus-triggered disassembly, which has remained a major challenge in the field.47 By incorporating pHIntein as a cargo detachment module, we demonstrated that the permeability of the QtEnc shell can be exploited to release untethered cargo upon acidification. An important cargo design constraint identified in this study is that the cargo and any fused fusogenic peptides should not exhibit a strong aggregation propensity, as aggregation can prevent efficient cargo release. Using BLF1 as a model cytotoxic cargo, we demonstrated that QtEncNC achieves cytosolic protein delivery in HeLa cells, and that both the cargo detachment and endosomal escape modules are important components of the delivery system to achieve optimal results.
Together, the discoveries reported here establish QtEnc as a uniquely versatile and modular nanocarrier platform for cytosolic protein delivery, with broad potential across diverse biomedical application areas.
Methods
Molecular biology and cloning
All constructs used in this study, with the exception of ΔN-Fdx, CLPmin-SUMO, and CLP-(Dead)-pHIntein-GALA3-BLF1, were ordered from Integrated DNA Technologies (IDT) as E. coli codon-optimized gBlocks. Genes encoding ΔN-Fdx, CLPmin-SUMO, and CLP-(Dead)-pHIntein-GALA3-BLF1 were generated by overhang PCR using Fdx, CLP-SUMO, and CLP-pHIntein-GALA3-BLF1 genes as templates, respectively (Supplementary Tables 1 and 2). All genes were cloned into multiple cloning site 2 (MCS2) of the pETDuet-1 vector using Gibson Assembly. For the QtEnc and IMEF co-expression system, a two-gene operon consisting of the IMEF gene followed by the QtEnc gene was constructed with an intergenic sequence containing an identical ribosome binding site (RBS) derived from MCS2. E. coli BL21(DE3) cells were transformed with assembled plasmids via electroporation, and all constructs were sequence-verified by Sanger sequencing (Eurofins Scientific).
Protein expression and purification
With the exception of pHIntein-containing constructs, all constructs were expressed using ZYM-5052 autoinduction medium supplemented with ampicillin (100 μg/mL). Briefly, 125 mL of fresh autoinduction medium was inoculated 1:1000 from a 5 mL overnight culture and grown at 30°C for ca. 20 h. For pHIntein-containing constructs, expression was carried out in lysogeny broth (LB) supplemented with ampicillin (100 μg/mL). 500 mL of fresh LB medium was inoculated 1:100 from a 5 mL overnight culture, grown at 37°C to an OD600 of 0.4-0.5, and induced with isopropyl β-D-thiogalactoside (IPTG) at a final concentration of 0.05 mM. Following induction, cultures were grown at 18°C for ca. 24 h. Cells were harvested by centrifugation (6,000 g, 12 min, 4°C), and the resulting pellets were stored at −80°C until further use.
Cell pellets from encapsulin-expressing cultures were resuspended in Tris buffer (20 mM Tris, 150 mM NaCl, pH 7.5) at 5 mL per gram of wet cell mass. Lysozyme (0.5 mg/mL), Benzonase® nuclease (25 units/mL), and MgCl2(1.5 mM) were added, and the suspension was incubated on ice for 20 min. Cells were lysed by sonication at 65% amplitude with a pulse cycle of 10 s on/20 s off for a total of 4.5 min (Model 120 Sonic Dismembrator, Fisher Scientific), and the lysate was clarified by centrifugation (10,000 g, 15 min, 4°C). For TmEnc only, the clarified supernatant was subjected to heat treatment at 70°C for 30 min, followed by centrifugation (25,000 g, 25 min, 4°C) to remove aggregated proteins. Ammonium sulfate was added to the supernatant to a final concentration of 20% (15% for TmEnc) and incubated on ice for 40 min, followed by centrifugation (15,000 g, 15 min, 4°C). The resulting supernatant was collected, and ammonium sulfate was added to a final concentration of 40% (75% for TmEnc), incubated on ice for 40 min, and centrifuged (20,000 g, 15 min, 4°C). The resulting pellet was resuspended in 4 mL Tris buffer (pH 7.5), passed through a 0.2 μm syringe filter, and subjected to size exclusion chromatography (SEC) using a Sephacryl S-500 16/60 column equilibrated in Tris buffer (pH 7.5) at a flow rate of 1 mL/min. Encapsulin-containing fractions, as assessed by SDS-PAGE, were pooled, concentrated, and dialyzed into low-salt Tris buffer (20 mM Tris, pH 7.5) using Amicon centrifugal filter units (100 kDa MWCO). The dialyzed sample was loaded onto a HiPrep DEAE FF 16/10 anion exchange column at a flow rate of 3 mL/min to remove nucleic acid contamination. To remove lipid contamination and endotoxins from all encapsulin preparations, a Triton X-114 phase separation method adapted from Aida et al. was employed with minor modifications.49,50 Briefly, Triton X-114 was added to pooled encapsulin fractions resulting from ion-exchange chromatograph to a final concentration of 1% (v/v) and mixed with agitation at 4°C for 15 min. Phase separation was induced by incubating the samples at 37°C for 5.5 min, followed by centrifugation (10,000 g, 5 min, 37°C). The encapsulin-containing aqueous phase was carefully recovered, and this process was repeated twice. Residual Triton X-114 was subsequently removed by incubating the encapsulin-containing aqueous phase with Bio-Beads SM-2 resin (Bio-Rad; 5 g per 25 mL) with agitation for 2 h at room temperature, followed by centrifugation (5,000 g, 5 min, room temperature). The resulting supernatant was collected, passed through a 0.2 μm syringe filter, and subjected to SEC using a Superose 6 10/300 GL column equilibrated in Tris buffer (pH 7.5) at a flow rate of 0.5 mL/min. Purified encapsulins were stored in Tris buffer (pH 7.5) at 4°C until further use.
All His-tagged constructs were purified by nickel IMAC followed by SEC in Tris buffer (pH 7.5). With the exception of β-galactosidase-CLP, all His-tagged constructs were subjected to SEC using a Superdex 200 10/300 GL column; a Superose 6 Increase 10/300 GL column was used for β-galactosidase-CLP owing to its larger molecular size. Purified proteins were quantified by A280 (absorbance at 280 nm) using a NanoDrop spectrophotometer and the theoretical extinction coefficient of each respective protein, flash-frozen in aliquots using liquid nitrogen, and stored at −80°C until further use. Full SDS-PAGE gels of all protein purifications are shown in the Supplementary Information (Supplementary Fig. 7).
SDS polyacrylamide gel electrophoresis
SDS-polyacrylamide gel electrophoresis (SDS-PAGE) was performed using an Invitrogen XCell SureLock Mini-Cell system with Novex 14% Tris-Glycine Mini Protein Gels and SDS running buffer. Samples were mixed with 4X SDS sample buffer, heated at 95°C for 4 min, briefly centrifuged, and loaded onto the gel. Electrophoresis was carried out at a constant voltage of 225 V for 42 min at room temperature. The Spectra Multicolor Broad Range Protein Ladder (Thermo Fisher Scientific) was used as a molecular weight marker.
Dynamic light scattering (DLS) analysis
All hydrodynamic size and polydispersity measurements were performed using an Uncle instrument (Unchained Labs) at 15°C in triplicate. Prior to analysis, all encapsulin samples were diluted to 0.4 mg/mL in Tris buffer (pH 7.5) and clarified by centrifugation (10,000 g, 10 min, 4°C).
Negative-stain transmission electron microscopy (TEM)
Encapsulin samples were diluted to 0.15 mg/mL in Tris buffer (pH 7.5) for negative-stain TEM analysis. Gold grids (200-mesh, Formvar-carbon coated, EMS #FCF200-Au-EC) were rendered hydrophilic by glow discharge at 5 mA for 60 s using an easiGlow system (PELCO). A 4 μL aliquot of the sample was applied to the grid and incubated for 1 min, blotted with filter paper, and briefly washed with 0.75% uranyl formate solution. Grids were then stained with 0.75% uranyl formate for 1 min, blotted with filter paper, and allowed to dry for at least 20 min prior to imaging. TEM micrographs were acquired using a Tecnai T12 electron microscope at the University of Michigan Life Sciences Institute.
Single particle cryo-electron Microscopy (cryo-EM)
Sample preparation: A purified sample of in vitro Fdx-loaded QtEnc was concentrated to 3.5 mg/mL in 150 mM NaCl, 25 mM Tris pH 8.0. 3.5 μL of protein sample were applied to freshly glow discharged Quantifoil R1.2/1.3 Cu 200 mesh grids and prepared by plunge freezing in liquid ethane using an FEI Vitrobot Mark IV (100% humidity, 22°C, blot force 20, blot time 4 seconds, wait time 0 s). The grids were immediately clipped and stored in liquid nitrogen until data collection.
Data collection: Cryo-EM movies were collected using a ThermoFisher Scientific Titan Krios G4i cryo-electron microscope operating at 300 kV equipped with a Gatan K3 direct electron detector with a BioQuantum imaging filter. 1,544 movies were collected from a single grid using the SerialEM51 software package at a magnification of 105,000x, pixel size of 0.834 Å, defocus range of −1.0 μm to −1.8 μm, exposure time of 2.32 s, frame time of 38 ms, and a total dose of 57.2 e−/Å2.
Data processing: CryoSPARC 4.6.252 was used to process the dataset (Supplementary Fig. 1). 1,544 movies were imported, motion corrected by patch motion correction, and the CTF fit was estimated using patch CTF estimation. Exposures with CTF fit resolutions worse than 6 Å were discarded from the dataset, resulting in 1,433 remaining movies. 199 particles were selected manually and used to create templates for template-based particle picking. Template picker was then used to select 78,442 particles, which were then extracted using a box size of 630 pixels. The particles were then downsampled to a box size of 480 pixels and subsequently sorted by two rounds of 2D classification, resulting in 70,828 remaining particles. An initial volume was created by ab-initio reconstruction using three classes and I symmetry, resulting in a majority class containing 70,540 particles. These particles were then used for homogeneous refinement against the ab-initio map with I symmetry imposed, per-particle defocus optimization, per-group CTF parameterization, and Ewald sphere correction enabled using a positive curvature sign, resulting in a 2.47 Å map.
Model building: For building the model of in vitro Fdx-loaded QtEnc, a starting model containing a single protomer of QtEnc and QtFdx in complex was generated using AlphaFold3.53 The QtFdx model was truncated to only include the targeting peptide and the QtEnc-Fdx-CLP complex was manually placed into the map using ChimeraX v.1.8,54 followed by improved map fit using the fit-in-map command. This step was repeated for three additional QtEnc-Fdx-CLP models, resulting in a complete asymmetric unit containing four models of QtEnc-Fdx-CLP. The model was then manually refined against the density map using Coot v0.9.8.1.55 Phenix v 1.20.1-4487-00056,57 was then used to further refine the model by real-space refinement with three macrocycles, minimization_global enabled, local_grid_search enabled, and adp refinement enabled. NCS operators were then identified from the map using map_symmetry and applied to the model using apply_ncs to generate the icosahedral shell. The NCS-expanded shell was then refined again using real-space refinement with three macrocycles, minimization_global enabled, local_grid_search enabled, adp refinement enabled, and NCS constraints enabled. The BIOMT operators were identified using the find_ncs command and manually placed into the header of the .pdb file containing a single ASU of the NCS-refined model (Supplementary Table 3).
In vitro cargo loading assays
In vitro cargo loading was performed in Tris buffer (pH 7.5) by mixing QtEnc, or other encapsulin shells (TmEnc, MxEnc, BmEnc, and DqEnc) where indicated, with cargo at a molar ratio of cargo:encapsulin = 2:1 and incubating at 4°C for 2 h unless otherwise stated. The total mixture volume was 500 μL, with a final encapsulin concentration of 0.5-2.5 mg/mL. Following incubation, the mixtures were subjected to SEC using a Superdex 200 10/300 GL column, with the exception of β-galactosidase-CLP-loaded samples, for which a Superose 6 Increase 10/300 GL column was used. For pHIntein-based cargo-loaded QtEnc samples intended for cell-based experiments, the SEC column was pre-equilibrated with phosphate-buffered saline (PBS) to exchange the buffer prior to cell culture use. In vitro cargo-loaded encapsulin shells eluted at the void volume of the respective column.
SpyCatcher-SpyTag conjugation assays
To determine the kinetics of in vitro cargo internalization into QtEnc shells, a SpyCatcher-SpyTag conjugation assay was carried out using three reaction setups: (1) SpyCatcher002-CLP-loaded QtEnc with SpyTag002-MBP-CLP, (2) SpyCatcher002-CLP-loaded QtEnc with SpyTag002-MBP, and (3) SpyCatcher002-CLP with SpyTag002-MBP-CLP as a positive control. The concentration of QtEnc and SpyCatcher002-CLP in SpyCatcher002-CLP-loaded QtEnc sample was determined by gel densitometry using a dilution series of QtEnc and SpyCatcher002-CLP at known concentrations run alongside the sample on SDS-PAGE. All reaction mixtures (total volume: 20 μL) were prepared in Tris buffer (pH 7.5) with a final concentration of 5 μM for each component (SpyCatcher002-CLP, SpyTag002-MBP-CLP, or SpyTag002-MBP) and incubated at room temperature. At defined time points (1, 5, 15, 30, and 60 min), aliquots were withdrawn from each reaction mixture and immediately mixed with 4X SDS sample buffer and heated at 95°C to quench the reaction, followed by SDS-PAGE analysis. All reactions were performed in triplicate.
Conjugation product formation was quantified by gel densitometry. The conjugation product band from the SpyCatcher-CLP + SpyTag-MBP-CLP positive control reaction at 60 min was used as a reference standard representing 100% conjugation (Supplementary Fig. 3). The amount of conjugation product formed at each time point in each reaction mixture was calculated relative to this standard using densitometric analysis. The amount of conjugation product formed per shell over time was subsequently calculated by dividing the molar amount of conjugation product by the molar amount of QtEnc shells in each reaction.
Cargo loading occupancy determination
Cargo loading occupancy for QtEnc loaded with cargos of different size was determined by gel densitometry. A dilution series of mNeonGreen at known concentrations was run on SDS-PAGE to generate a standard curve correlating band intensity to protein mass. Cargo loading occupancy was subsequently calculated as the molar ratio of loaded cargo to QtEnc protomer, with molar concentrations of each derived from the standard curve using their respective band intensities and theoretical molecular weights.
Förster Resonance Energy Transfer (FRET) analysis
FRET experiments were performed using a Synergy H1 plate reader (BioTek) in black flat-bottom 384-well plates at room temperature, with all samples measured in triplicate. The following samples were prepared for the mTagBFP2 (mBFP2)-mNeonGreen (mNG) FRET experiment: mBFP2 and mNG co-loaded QtEnc, mBFP2-only loaded QtEnc, mNG-only loaded QtEnc, mBFP2, and mNG. The amounts of mBFP2 and mNG in each sample were normalized and confirmed by SDS-PAGE prior to measurement. Each well contained 50 μL of sample in Tris buffer (pH 7.5), with Tris buffer (pH 7.5) alone serving as background. FRET was assessed by exciting samples at 399 nm and measuring emission at 517 nm, corresponding to mNG acceptor emission.
For the mBFP2-mNG-mCherry FRET experiments, an identical setup was employed with mBFP2, mNG, and mCherry co-loaded QtEnc and the corresponding control samples. FRET was assessed by exciting samples at 399 nm and measuring emission at 610 nm, corresponding to mCherry acceptor emission.
Low pH-triggered pHIntein cleavage assays
pHIntein-based cargo constructs were mixed with citrate-phosphate buffer (pH 6.0) at a 1:10 (v/v) ratio and incubated at 37°C. At defined time points (1, 2, and 3 h), aliquots were withdrawn from the reaction mixture, immediately mixed with 4X SDS sample buffer, and heated at 95°C prior to SDS-PAGE analysis.
Low pH-triggered POI release from QtEnc shells
pHIntein-based cargo-loaded QtEnc samples were mixed with citrate-phosphate buffer (pH 6.0) at a 1:10 (v/v) ratio and incubated at 37°C for 3 h. Prior to SEC injection, an aliquot was withdrawn from the mixture, immediately mixed with 4X SDS sample buffer, and heated at 95°C to serve as a pre-SEC input control. The remainder of the mixture was then subjected to SEC using a Superdex 200 10/300 GL column equilibrated in Tris buffer (pH 7.5). The void volume fraction, containing QtEnc shells, and the later eluting fractions, containing released POI (if any), were collected and analyzed together by SDS-PAGE.
Cell culture experiments
HeLa cells were cultured in Dulbecco’s Modified Eagle Medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 1% penicillin-streptomycin (PS) at 37°C in a humidified atmosphere containing 5% CO2. For cell viability experiments, thawed HeLa cells were allowed to recover for 24 h, washed with Hanks’ Balanced Salt Solution (HBSS), and cultured for an additional 24 h. Cells were then detached using trypsin, counted, and seeded at a density of 2,000 cells per well in 96-well plates (200 μL per well) and allowed to adhere for 24 h prior to sample addition.
Cell viability assays
The following samples were tested in triplicate: DMEM (supplemented with 10% FBS and 1% PS) alone, 0.1% (v/v) Triton X-100 in supplemented DMEM, QtEnc alone, and QtEncNC loaded with one of three cargo constructs: CLP-pHIntein-GALA3-BLF1, CLP-(Dead)-pHIntein-GALA3-BLF1, and CLP-pHIntein-BLF1. The BLF1 concentration in each QtEncNC stock was determined by gel densitometry using a dilution series of the respective BLF1-containing cargo construct at known concentrations run alongside the QtEncNC sample on SDS-PAGE. Each QtEncNC sample was then diluted in supplemented DMEM to a final BLF1 concentration of 100 nM, 250 nM, 500 nM, 1 μM, and 3 μM, and 100 μL of each dilution was added per well. For the media-only and Triton X-100 controls, 100 μL of supplemented DMEM or 0.1% (v/v) Triton X-100 in supplemented DMEM was added per well, respectively. For the QtEnc-only control, QtEnc in PBS was diluted in supplemented DMEM to a total volume of 100 μL, with the amount of QtEnc matched to that present in the highest concentration QtEncNC sample (3 μM BLF1 equivalent). Following sample addition, cells were incubated at 37°C with 5% CO2 for 72 h prior to further analysis.
Prior to cell viability assays, bright-field microscopy images of the cells were acquired using an EVOS M5000 Microscopy System (Thermo Fisher Scientific) to assess cell morphology. Cell viability was assessed using the PrestoBlue Cell Viability Reagent (Thermo Fisher Scientific). Following the 72 h incubation, the culture medium was removed, and cells were washed twice with PBS to remove residual sample. PrestoBlue reagent was diluted 1:9 (v/v) in phenol red-free supplemented DMEM and 100 μL was added to each well. The plate was incubated at 37°C with 5% CO2 for 45 min, then wrapped in aluminum foil and equilibrated at room temperature for 4 h to stabilize the fluorescence signal and protect the reagent from light exposure. Fluorescence was measured at an excitation wavelength of 560 nm and emission wavelength of 590 nm using a Synergy H1 plate reader (BioTek). Cell viability was expressed as a percentage relative to the QtEnc-only control, after subtracting the background fluorescence obtained from Triton X-100-treated positive control wells. No meaningful difference in cell viability was observed between the QtEnc-only and media-only controls.
Supplementary Material
Acknowledgements
T.W.G acknowledges funding from NIH (R35GM133325) and NSF (2342136). S.K. acknowledges funding from Asan Foundation (Biomedical Science Scholarship) and University of Michigan Rackham Graduate School (Rackham Predoctoral Fellowship). Research reported in this work was supported by the University of Michigan Cryo-EM Facility (U-M Cryo-EM). U-M Cryo-EM is grateful for support from the U-M Life Sciences Institute and the U-M Biosciences Initiative. Molecular graphics and analyses were performed using UCSF ChimeraX developed by the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, with support from the National Institutes of Health R01GM129325 and the Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases.
Footnotes
Competing interests
The authors declare the following competing financial interests: S.K. and T.W.G. have filed a patent application related to this work.
Data availability
The cryo-EM maps and structural models of in vitro Fdx-loaded QtEnc have been deposited and are publicly available in the Electron Microscopy Data Bank (EMDB-76203) and Protein Data Bank (PDB ID: 11YX).
References
- 1.Mitchell M. J. et al. Engineering precision nanoparticles for drug delivery. Nat Rev Drug Discov 20, 101–124 (2021). 10.1038/s41573-020-0090-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Majumder J., Taratula O. & Minko T. Nanocarrier-based systems for targeted and site specific therapeutic delivery. Adv Drug Deliver Rev 144, 57–77 (2019). 10.1016/j.addr.2019.07.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Dziubla T. D., Karim A. & Muzykantov V. R. Polymer nanocarriers protecting active enzyme cargo against proteolysis. J Control Release 102, 427–439 (2005). 10.1016/j.jconrel.2004.10.017 [DOI] [PubMed] [Google Scholar]
- 4.Hussain S., Arif A., Mujeeb-ur-Rehman & Shah M. R. Targeted drug delivery: designing nanocarriers for improved therapeutic action. Chem Commun (2026). 10.1039/d5cc07306e [DOI] [PubMed] [Google Scholar]
- 5.Kwon S. & Giessen T. W. Engineered Protein Nanocages for Concurrent RNA and Protein Packaging In Vivo. Acs Synth Biol 11, 3504–3515 (2022). 10.1021/acssynbio.2c00391 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Cheng T. J. et al. A surface-adaptive nanocarrier to prolong circulation time and enhance cellular uptake. Chem Commun 51, 14985–14988 (2015). 10.1039/c5cc05854f [DOI] [PubMed] [Google Scholar]
- 7.Tenchov R. et al. Transforming Medicine: Cutting-Edge Applications of Nanoscale Materials in Drug Delivery. Acs Nano 19, 4011–4038 (2025). 10.1021/acsnano.4c09566 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Wang R. et al. Nanoparticle approaches for manipulating cytokine delivery and neutralization. Front Immunol 16 (2025). https://doi.org/ARTN1592795 10.3389/fimmu.2025.1592795 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gu Z., Biswas A., Zhao M. X. & Tang Y. Tailoring nanocarriers for intracellular protein delivery. Chem Soc Rev 40, 3638–3655 (2011). 10.1039/c0cs00227e [DOI] [PubMed] [Google Scholar]
- 10.de Almeida M. S. et al. Understanding nanoparticle endocytosis to improve targeting strategies in nanomedicine. Chem Soc Rev 50, 5397–5434 (2021). 10.1039/d0cs01127d [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Dang C. V., Reddy E. P., Shokat K. M. & Soucek L. Drugging the ‘undruggable’ cancer targets. Nat Rev Cancer 17, 502–508 (2017). 10.1038/nrc.2017.36 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Sun L. M. et al. Smart nanoparticles for cancer therapy. Signal Transduct Tar 8 (2023). https://doi.org/ARTN418 10.1038/s41392-023-01642-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.González-Davis O. et al. Virus-like nanoparticles as enzyme carriers for Enzyme Replacement Therapy (ERT). Virology 580, 73–87 (2023). 10.1016/j.virol.2023.01.017 [DOI] [PubMed] [Google Scholar]
- 14.Hu J. et al. Nanocarriers for cutting-edge cancer immunotherapies. J Transl Med 23 (2025). https://doi.org/ARTN447 10.1186/s12967-025-06435-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Wu F. et al. Lipid Nanoparticles for Delivery of CRISPR Gene Editing Components. Small Methods 10 (2026). 10.1002/smtd.202401632 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Jiang Y. H. et al. Nanocarrier vaccines for respiratory infections. Trends Mol Med 31, 652–668 (2025). 10.1016/j.molmed.2024.12.002 [DOI] [PubMed] [Google Scholar]
- 17.Giessen T. W. Encapsulins. Annu Rev Biochem 91, 353–380 (2022). 10.1146/annurev-biochem-040320-102858 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Giessen T. W. The Structural Diversity of Encapsulin Protein Shells. Chembiochem 25, e202400535 (2024). 10.1002/cbic.202400535 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gabashvili A. N. et al. Encapsulins-Bacterial Protein Nanocompartments: Structure, Properties, and Application. Biomolecules 10 (2020). 10.3390/biom10060966 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Jones J. A., Benisch R. & Giessen T. W. Encapsulin cargo loading: progress and potential. J Mater Chem B 11, 4377–4388 (2023). 10.1039/d3tb00288h [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Altenburg W. J., Rollins N., Silver P. A. & Giessen T. W. Exploring targeting peptide-shell interactions in encapsulin nanocompartments. Sci Rep 11, 4951 (2021). 10.1038/s41598-021-84329-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Lau Y. H., Giessen T. W., Altenburg W. J. & Silver P. A. Prokaryotic nanocompartments form synthetic organelles in a eukaryote. Nat Commun 9, 1311 (2018). 10.1038/s41467-018-03768-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lohner P. et al. Inside a Shell-Organometallic Catalysis Inside Encapsulin Nanoreactors. Angew Chem Int Edit 60, 23835–23841 (2021). 10.1002/anie.202110327 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Giessen T. W. & Silver P. A. Converting a Natural Protein Compartment into a Nanofactory for the Size-Constrained Synthesis of Antimicrobial Silver Nanoparticles. Acs Synth Biol 5, 1497–1504 (2016). 10.1021/acssynbio.6b00117 [DOI] [PubMed] [Google Scholar]
- 25.Diaz D., Vidal X., Sunna A. & Care A. Bioengineering a Light-Responsive Encapsulin Nanoreactor: A Potential Tool for In Vitro Photodynamic Therapy. ACS Appl Mater Interfaces 13, 7977–7986 (2021). 10.1021/acsami.0c21141 [DOI] [PubMed] [Google Scholar]
- 26.Kwon S., Andreas M. P. & Giessen T. W. Pore Engineering as a General Strategy to Improve Protein-Based Enzyme Nanoreactor Performance. Acs Nano 18, 25740–25753 (2024) 10.1021/acsnano.4c08186 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Jones J. A., Cristie-David A. S., Andreas M. P. & Giessen T. W. Triggered Reversible Disassembly of an Engineered Protein Nanocage**. Angew Chem Int Edit 60, 25034–25041 (2021). 10.1002/anie.202110318 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Bae Y. et al. Engineering Tunable Dual Functional Protein Cage Nanoparticles Using Bacterial Superglue. Biomacromolecules 19, 2896–2904 (2018). 10.1021/acs.biomac.8b00457 [DOI] [PubMed] [Google Scholar]
- 29.Jenkins M. C. & Lutz S. Encapsulin Nanocontainers as Versatile Scaffolds for the Development of Artificial Metabolons. Acs Synth Biol 10, 857–869 (2021). 10.1021/acssynbio.0c00636 [DOI] [PubMed] [Google Scholar]
- 30.Kanekiyo M. et al. Rational Design of an Epstein-Barr Virus Vaccine Targeting the Receptor-Binding Site. Cell 162, 1090–1100 (2015). 10.1016/j.cell.2015.07.043 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Putri R. M., Fredy J. W., Cornelissen J. J., Koay M. S. & Katsonis N. Labelling Bacterial Nanocages with Photo-switchable Fluorophores. Chemphyschem 17, 1815–1818 (2016). 10.1002/cphc.201600013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Moon H., Lee J., Min J. & Kang S. Developing Genetically Engineered Encapsulin Protein Cage Nanoparticles as a Targeted Delivery Nanoplatform. Biomacromolecules 15, 3794–3801 (2014). 10.1021/bm501066m [DOI] [PubMed] [Google Scholar]
- 33.Gómez-Barrera S. N. et al. Surface Engineering of the Encapsulin Nanocompartment of Myxococcus xanthus for Cell-Targeted Protein Delivery. Acs Omega 10, 7142–7152 (2025) 10.1021/acsomega.4c10285 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Andreas M. P. & Giessen T. W. Large-scale computational discovery and analysis of virus-derived microbial nanocompartments. Nature Communications 12 (2021). https://doi.org/ARTN4748 10.1038/s41467-021-25071-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Yao H. L. et al. The Structure of the BfrB-Bfd Complex Reveals Protein-Protein Interactions Enabling Iron Release from Bacterioferritin. J Am Chem Soc 134, 13470–13481 (2012). 10.1021/ja305180n [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Sutter M. et al. Structural basis of enzyme encapsulation into a bacterial nanocompartment. Nat Struct Mol Biol 15, 939–947 (2008). 10.1038/nsmb.1473 [DOI] [PubMed] [Google Scholar]
- 37.Eren E. et al. Structural characterization of the Myxococcus xanthus encapsulin and ferritin-like cargo system gives insight into its iron storage mechanism. Structure 30, 551–563 e554 (2022). 10.1016/j.str.2022.01.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.McHugh C. A. et al. A virus capsid-like nanocompartment that stores iron and protects bacteria from oxidative stress. EMBO J 33, 1896–1911 (2014). 10.15252/embj.201488566 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Pecanac O. et al. Biocatalytic application and structural elucidation of robust bacterial protein nanocages. Mater Adv 6, 5303–5309 (2025). 10.1039/d5ma00268k [DOI] [Google Scholar]
- 40.Keeble A. H. et al. Evolving Accelerated Amidation by SpyTag/SpyCatcher to Analyze Membrane Dynamics. Angew Chem Int Edit 56, 16521–16525 (2017). 10.1002/anie.201707623 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Ebensperger P. et al. A Dual-Metal-Catalyzed Sequential Cascade Reaction in an Engineered Protein Cage**. Angew. Chemie 135, 1–9 (2023). 10.1002/ange.202218413 [DOI] [PubMed] [Google Scholar]
- 42.Goswami R., Jeon T., Nagaraj H., Zhai S. & Rotello V. M. Accessing Intracellular Targets through Nanocarrier-Mediated Cytosolic Protein Delivery. Trends Pharmacol Sci 41, 743–754 (2020). 10.1016/j.tips.2020.08.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Choi S. et al. Self-cleaving protein linkers with modulated pH-responsiveness: A new platform for selective control of protein drug function. Chem Eng J 457 (2023). https://doi.org/ARTN141229 10.1016/j.cej.2022.141229 [DOI] [Google Scholar]
- 44.Sudo K. et al. Human-derived fusogenic peptides for the intracellular delivery of proteins. J Control Release 255, 1–11 (2017). 10.1016/j.jconrel.2017.03.398 [DOI] [PubMed] [Google Scholar]
- 45.Li C., Cao X. W., Zhao J. & Wang F. J. Effective Therapeutic Drug Delivery by GALA3, an Endosomal Escape Peptide with Reduced Hydrophobicity. J Membrane Biol 253, 139–152 (2020). 10.1007/s00232-020-00109-2 [DOI] [PubMed] [Google Scholar]
- 46.Cruz-Migoni A. et al. A Toxin Inhibits Helicase Activity of Translation Factor eIF4A. Science 334, 821–824 (2011). 10.1126/science.1211915 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Edwardson T. G. W. et al. Protein Cages: From Fundamentals to Advanced Applications. Chem Rev 122, 9145–9197 (2022). 10.1021/acs.chemrev.1c00877 [DOI] [PubMed] [Google Scholar]
- 48.Szyszka T. N. et al. High-Fidelity In Vitro Packaging of Diverse Synthetic Cargo into Encapsulin Protein Cages. Angew Chem Int Ed Engl 64, e202422459 (2025). 10.1002/anie.202422459 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Aida Y. & Pabst M. J. Removal of endotoxin from protein solutions by phase separation using Triton X-114. J Immunol Methods 132, 191–195 (1990). 10.1016/0022-1759(90)90029-u [DOI] [PubMed] [Google Scholar]
- 50.Rennie C. et al. In Vivo Behavior of Systemically Administered Encapsulin Protein Nanocages and Implications for their use in Targeted Drug Delivery. Advanced Therapeutics 7, 2300360 (2024). 10.1002/adtp.202300360 [DOI] [Google Scholar]
- 51.Mastronarde D. N. SerialEM: A Program for Automated Tilt Series Acquisition on Tecnai Microscopes Using Prediction of Specimen Position. Microscopy and Microanalysis 9, 1182–1183 (2003). 10.1017/s1431927603445911 [DOI] [Google Scholar]
- 52.Punjani A., Rubinstein J. L., Fleet D. J. & Brubaker M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat Methods 14, 290–296 (2017). 10.1038/nmeth.4169 [DOI] [PubMed] [Google Scholar]
- 53.Abramson J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). 10.1038/s41586-024-07487-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Pettersen E. F. et al. UCSF ChimeraX : Structure visualization for researchers, educators, and developers. Protein Science 30, 70–82 (2021). 10.1002/pro.3943 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Emsley P., Lohkamp B., Scott W. G. & Cowtan K. Features and development of Coot. Acta Crystallographica Section D: Biological Crystallography 66, 486–501 (2010). 10.1107/S0907444910007493 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Liebschner D. et al. Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix. Acta Crystallogr D Struct Biol 75, 861–877 (2019). 10.1107/S2059798319011471 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Adams P. D. et al. PHENIX: A comprehensive Python-based system for macromolecular structure solution. Acta Crystallographica Section D: Biological Crystallography 66, 213–221 (2010). 10.1107/S0907444909052925 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The cryo-EM maps and structural models of in vitro Fdx-loaded QtEnc have been deposited and are publicly available in the Electron Microscopy Data Bank (EMDB-76203) and Protein Data Bank (PDB ID: 11YX).






