Biology subjects

Chiu, W.

Publications and source records attributed to Chiu, W..

At least 19 recordsLinked to original sources

bioRxiv2026

The Application of 3D Cryo-Volume Electron Microscopy to Visualize and Quantify the Photosynthetic Filamentous Cyanobacterium Anabaena

Cryogenic volume electron microscopy (cryo-vEM) is a rapidly developing nanoscale imaging approach that enables three-dimensional datasets of vitrified cells and tissues at intermediate resolutions without treatment with chemical fixatives or metal contrasting agents. Our goal was to evaluate the suitability of cryo-vEM for whole cells of photosynthetic organisms such as cyanobacteria. Two species of Anabaena, a filamentous cyanobacterium, were captured on poly-L-lysine-coated grids, vitrified by plunge-freezing into liquid ethane, and mapped by secondary electron and integrated fluorescence light microscopy to identify target cells. Cells of interest were coated with platinum, trenched with xenon, and 3D volumes collected by alternating argon milling and through-lens detector (TLD) imaging on a Thermo Scientific Hydra plasma focused ion beam scanning electron microscope. Volumes were segmented via 2.5D U-Net models, then quantified in Dragonfly 3D World. Block-face images revealed the cell wall, thylakoids, phycobilisomes, carboxysomes, cyanophycin and polyphosphate granules. Whole-cell 3D rendering allowed quantification of carboxysomes, cyanophycin granules, and measurement of thylakoid thickness and spacing in A. inaequalis and Anabaena sp. UTEX 2576. Thus, cryo-vEM provided interpretable whole-cell ultrastructure of cyanobacteria without chemical pre-treatment, and its compatibility with cryo-fluorescence and in situ cryo-ET enables contextual multi-scale perspectives from whole cells to molecular structures.

cell biology↗

bioRxiv2026

Mechanism of the Sequential Trajectory of Allosteric Ring Closure in Human Chaperonin TRiC

Eukaryotic chaperonin TRiC assists in the folding of approximately 10% of the cytosolic proteome through an ATP-driven chamber closure cycle, yet the underlying closure mechanism has remained elusive. Here, using cryo-EM and deep learning analyses, we resolve, at near-atomic resolution, the temporal engagement sequence of the eight distinct subunits during human TRiC ring closure triggered by ATP binding. TRiC closes its chamber through the stepwise extension of an apical helical network among subunits around the ring, coordinated with sequential rotations of the equatorial domains. Each subunit responds differently to ATP, rendering the overall motion asymmetric and ordered. This work delineates the complete structural trajectory of allosteric propagation during ATP-binding-induced, rather than hydrolysis-induced, ring closure, and establishes a mechanistic framework linking ATP-driven conformational dynamics to substrate handling.

biophysics↗

bioRxiv2026

A panel of biologically contained orthoebolaviruses for the screening of broad-spectrum antivirals

Filoviruses, particularly those of the Orthoebolavirus genus, pose ongoing public health threats due to their increasing frequency and geographic spread. However, research has been impeded by the biosafety level 4 classification of filoviruses. We previously reported the generation of biologically contained Ebola, Marburg and Sudan virus as lower biosafety level-compatible filovirus systems. In the present study, we expanded this repertoire to include biologically contained Tai Forest, Bundibugyo and Reston virus, thereby creating a near-complete toolkit for currently recognized human-relevant orthoebolaviruses. VP30-deficient viruses were generated with matching VP30 expressing cell lines. More specifically, we developed and optimized a dual-reporter system in VeroE6, Huh-7 and A549 cells, combining a virus-encoded enhanced green fluorescent protein reporter as readout for viral replication with a stably cellular-expressed nuclear mCherry marker for cytotoxicity assessment. Next, we screened two repurposing-oriented compound libraries comprising 640 small molecules against Tai Forest, Bundibugyo and Sudan virus, and subsequently cross-validated against Reston and Ebola virus. This approach identified multiple candidates with broad-spectrum activity across orthoebolaviruses, while also revealing virus-specific antivirals, with robust activity observed in both primate- and human-derived cell lines. Together, this work establishes a versatile and experimentally tractable lower biosafety level-compatible platform for the study of human-relevant orthoebolaviruses and the systematic discovery of broad-spectrum antiviral countermeasures against filoviruses.

microbiology↗

bioRxiv2026

The MIRO1-BAX Complex Dictates Life and Death at the Mitochondrial Gate

BAX macropores in the outer mitochondrial membrane (OMM) are canonical mediators of apoptosis, but whether the same pore structure can drive distinct cell death pathways remains unclear. Here, we identify the OMM protein MIRO1 as a context-specific modulator of BAX activity. Mechanistically, MIRO1 binds BAX via MIRO1s N-terminal domain to promote macropore formation and the release of mitochondrial DNA (mtDNA) into the cytoplasm, triggering the STING-pIRF3 signaling axis. In glioma cells, this pathway sustains GPX4 expression via pIRF3-mediated transcriptional activation and confers ferroptosis resistance while bypassing inflammation. By contrast, in Parkinsonian neurons, the MIRO1-BAX complex promotes mitochondrial-stress-induced apoptosis. Using structure-guided drug discovery, we developed first-in-class small molecules that allosterically disrupt the MIRO1-BAX complex by engaging MIRO1s distal GTPase pocket. These compounds sensitize glioma cells to ferroptosis and protect neurons from apoptosis. Our findings reveal a disease-specific mitochondrial switch for life-death decisions and illuminate the molecular logic by which cells exploit and interpret OMM permeabilization.

Cell Biology↗

bioRxiv2026

Mechanism of Gating and Isoform-Specific Inhibition in Renal CLC Chloride Channels

Hyponatremia is a prevalent disorder marked by excess water retention and substantial morbidity, motivating interest in the CLC-Ka chloride channel as a therapeutic target. Selectively inhibiting CLC-Ka without affecting the closely related CLC-Kb is essential for preventing serious side effects. However, developing isoform-selective inhibitors has been challenging because most small molecules do not distinguish between CLC-Ka and CLC-Kb, and the basis for selectivity in the few known exceptions remains unclear. The small molecule BIM1 preferentially inhibits CLC-Ka over CLC-Kb, providing an opportunity to dissect isoform-specific pharmacology. To investigate this mechanism, we determined cryo-EM structures of BIM1 and BIM15, a related nonselective analog, bound to a CLC-K variant engineered to match the human CLC-Ka binding pocket. Structural and computational analyses reveal that inhibition and isoform selectivity are anchored by interactions with a conserved lysine, with surrounding binding-site residues subtly tuning the local electrostatic environment to promote or disfavor these contacts. These analyses further identify a dynamic extracellular loop that intermittently occludes the shared pathway accessing the inhibitor-binding site and pore. Bound BIM15 engages this gating loop more extensively than BIM1, suggesting that differential loop engagement contributes to inhibitor selectivity, a prediction validated by mutagenesis. Because loop dynamics block the pore, we examined the structural impact of Ca{superscript 2}, which favors opening, and found the gating loop ordered and withdrawn from the pathway. Together, these findings define how binding-site microenvironments and gating-loop dynamics shape isoform-specific inhibition and pore access in CLC-K channels. Significance StatementHyponatremia is a major clinical problem with limited therapeutic options. The kidney chloride channel CLC-Ka is an attractive drug target, but its high sequence identity to CLC-Kb has hindered the development of isoform-selective inhibitors needed for safe therapy. A low-micromolar CLC-Ka-selective inhibitor had been identified, providing a foothold for drug development, but the structural basis of its selectivity was unknown. Here, by integrating cryo-EM structures with molecular dynamics simulations, we define the inhibitor-binding site and reveal the mechanism that enables preferential CLC-Ka inhibition. We further show that a dynamic extracellular loop functions as a gating element shaping inhibitor access and engagement. These findings establish a mechanistic foundation for developing improved treatments for hyponatremia.

biophysics↗

bioRxiv2025

Template-based RNA structure prediction advanced through a blind code competition

Automatically predicting RNA 3D structure from sequence remains an unsolved challenge in biology and biotechnology. Here, we describe a Kaggle code competition engaging over 1700 teams and 43 previously unreleased structures to tackle this challenge. The top three submitted algorithms achieved scores within statistical error of the winners of the recent CASP16 competition. Unexpectedly, the top Kaggle strategy involved a pipeline for discovering 3D templates, without the use of deep learning. We integrated this template-modeling pipeline and other Kaggle strategies to develop a single model RNAPro that retrospectively outperformed individual Kaggle models on the same test set. These results suggest a growing importance of template-based modeling in RNA structure prediction.

biophysics↗

bioRxiv2025

Cryogenic Electron Tomography Redefines Herpesvirus Capsid Assembly Intermediates Inside the Cell Nucleus.

Herpesviruses encapsulate their double-stranded DNA (dsDNA) genomes within an icosahedral nucleocapsid formed in the infected cell nucleus. Four biochemically purified nucleocapsids have been characterized, but their roles in herpesvirus replication remain controversial. The status of the capsid vertex-specific component (CVSC), essential for capsid stability and dsDNA packaging and retention, is also unclear. By integrating cryogenic focused ion beam milling with electron tomography and subtomogram averaging, we derived atomic models for all protein components, including the CVSC, across different herpesvirus capsid types within infected cell nuclei. Focused classification of pentonal vertex densities revealed differences in CVSC occupancy between genome-filled capsids and capsids lacking dsDNA, highlighting structural heterogeneity and providing insight into distinct capsid assembly stages in situ. These intra-nuclear findings redefine the maturation model of herpesvirus capsid assembly, advancing the understanding of herpesvirus replication, and demonstrate the effectiveness of in situ electron imaging by studying virus assembly within host cells.

microbiology↗

bioRxiv2025

Molecular mechanism of exchange coupling in CLC chloride/proton antiporters

The ubiquitous CLC membrane transporters are unique in their ability to exchange anions for cations. Despite extensive study, there is no mechanistic model that fully explains their 2:1 Cl-/H+ stoichiometric exchange mechanism. Here, we provide such a model. Using differential hydrogen-deuterium exchange mass spectrometry, cryo-EM structure determination, and molecular dynamics simulations, we uncovered conformational dynamics in CLC-ec1, a bacterial CLC homolog that has served as a paradigm for this family of transporters. Simulations based on a cryo-EM structure at pH 3 revealed critical steps in the transport mechanism, including release of Cl- ions to the extracellular side, opening of the inner gate, and water wires that facilitate H+ transport. Surprisingly, these water wires occurred independently of Cl-binding, prompting us to reassess the relationship between Cl- binding and Cl-/H+ coupling. Using isothermal titration calorimetry and quantitative flux assays on mutants with reduced Cl- binding affinity, we conclude that, while Cl- binding is necessary for coupling, even weak binding can support Cl-/H+ coupling. By integrating our findings with existing literature, we establish a complete and efficient CLC 2:1 Cl-/H+ exchange mechanism.

biophysics↗

bioRxiv2025

Functional relevance of CASP16 nucleic acid predictions as evaluated by structure providers

Accurate biomolecular structure prediction enables the prediction of mutational effects, the speculation of function based on predicted structural homology, the analysis of ligand binding modes, experimental model building and many other applications. Such algorithms to predict essential functional and structural features remain out of reach for biomolecular. Here, we report quantitative and qualitative evaluation of nucleic acid structures for the CASP16 blind prediction challenge by 12 of the experimental groups who provided nucleic acid targets. Blind predictions accurately model secondary structure and some aspects of tertiary structure, including reasonable global folds for some complex RNAs, however, predictions often lack accuracy in the regions of highest functional importance. All models have inaccuracies in non-canonical regions where, e.g., the nucleic-acid backbone bends or a base forms a non-standard hydrogen bond. These bends and non-canonical interactions are integral to form functionally important regions such as RNA enzymatic active sites. Additionally, the modeling of conserved and functional interfaces between nucleic acids and ligands, proteins, or other nucleic acids remains poor. For some targets, the experimental structures may not represent the only structure the biomolecular complex occupies in solution or in its functional life-cycle, posing a future challenge for the community.

biophysics↗

bioRxiv2025

Macrophage ferroptosis inhibits Aspergillus conidial killing in lung transplantation

Immune suppression heightens the risk for fungal infections, but the mechanisms that result in clinical disease are poorly understood. Here we demonstrate that macrophage ferroptosis, an iron-dependent form of regulated cell death, inhibits Aspergillus fumigatus (Af) killing. In a mouse tracheal transplant model of Af infection, we observed an increase in macrophage lipid peroxidation, a decreased expression of negative ferroptosis regulators Gpx4 and Slc7a11, and an increase in positive regulators Ptgs2 and Nox2, relative to syntransplants. Depletion of macrophages in transplant recipients decreased Af invasion. In vitro, iron overload reduced macrophage viability and decreased their capability to kill Af spores, through a decrease in lysosomal acidification and lysosomal loss. Treatment with ferrostatin-1, a ferroptosis inhibitor, and deferasirox (an iron chelator) restored Af killing. Ferroptotic alveolar macrophages isolated from lung transplant patients also showed a decreased ability to kill Af spores and the patients bronchoalveolar lavage was characterized by higher iron levels and markers of ferroptotic stress compared to non-lung transplants. These characteristics were strongly correlated with a clinical history of fungal infections, independent of immune suppressive medications. Our findings indicate that macrophage ferroptosis augments the risk of invasive aspergillosis, representing a novel mechanism for host immune dysfunction. Graphical AbstractSchematic of proposed mechanism underlying ferroptosis induced immune dysregulation and increased Af invasion in lung transplantation. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=150 SRC="FIGDIR/small/643092v1_ufig1.gif" ALT="Figure 1"> View larger version (104K): org.highwire.dtl.DTLVardef@1112102org.highwire.dtl.DTLVardef@18e2ec1org.highwire.dtl.DTLVardef@19f9c5forg.highwire.dtl.DTLVardef@1d325e8_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2025

Complex Water Networks Visualized through 2.2-2.3 Angstrom Cryogenic Electron Microscopy of RNA

The stability and function of biomolecules are directly influenced by their myriad interactions with water. In this study, we investigated water through cryogenic electron microscopy (cryo-EM) on a highly solvated molecule, the Tetrahymena ribozyme, determined at 2.2 and 2.3 [A] resolutions. By employing segmentation-guided water and ion modeling (SWIM), an approach combining resolvability and chemical parameters, we automatically modeled and cross-validated water molecules and Mg2+ ions in the ribozyme core, revealing the extensive involvement of water in mediating RNA non-canonical interactions. Unexpectedly, in regions where SWIM does not model ordered water, we observed highly similar densities in both cryo-EM maps. In many of these regions, the cryo-EM densities superimpose with complex water networks predicted by molecular dynamics (MD), supporting their assignment as water and suggesting a biophysical explanation for their elusiveness to conventional atomic coordinate modeling. Our study demonstrates an approach to unveil both rigid and flexible waters that surround biomolecules through cryo-EM map densities, statistical and chemical metrics, and MD simulations.

biophysics↗

bioRxiv2025

Q-score as a reliability measure for protein, nucleic acid, and small molecule atomic coordinate models derived from 3DEM density maps

Atomic coordinate models are important in the interpretation of 3D maps produced with cryoEM and sub-tomogram averaging in cryoET, or more generically, 3D electron microscopy (3DEM). In addition to visual inspection of such maps and models, quantitative metrics convey the reliability of the atomic coordinates, in particular how well the model is supported by the experimentally determined 3DEM map. A recently introduced metric, Q-score, was shown to correlate well with the reported resolution of the map for well-fitted models. Here we present new statistical analyses of Q-scores based on its application to [~]10,000 maps and models archived in EMDB and PDB. Further we introduce two new metrics based on Q-score: Q-relative-all and Q-relative-resolution to compare a map and model to all entries in the EMDB and those with similar resolution respectively. We also explore through illustrative examples of proteins, nucleic acids, and small molecules how Q-scores can indicate whether the atomic coordinates are well-fitted to 3DEM maps and whether some parts of a map may be poorly resolved due to factors such as molecular flexibility, radiation damage, and/or conformational heterogeneity. Lastly, we show examples of how Q-scores can effectively be converted to atomic B-factors. These analyses provide a basis for how Q-scores can be interpreted effectively to evaluate 3DEM maps and atomic coordinate models prior to publication and archiving. SynopsisQ-scores are calculated each atom in models fitted to 3DEM (3D electron microscopy) maps. They measure how well the model fits the map, and also reflect the quality of the map as they correlate to resolution. Here we develop a statistical model for Q-scores applied to many maps and models in the EMDB (Electron Microscopy Database) and PDB (Protein Data Bank) respectively, and show how it can be used to assess the reliability of entire models as well as their subcomponents.

biochemistry↗

bioRxiv2024

Cryogenic electron tomography and elemental analysis of mitochondrial granules in human retinal ganglion cells

Combining three-dimensional (3D) visualization with elemental analysis of vitrified cells can provide crucial insights into subcellular structures and elemental compositions in their native environments. We present a coordinated approach using cryogenic electron energy loss spectroscopy (cryoEELS) and cryogenic electron tomography (cryoET) to characterize the elemental distribution and ultrastructure of vitrified cells. We applied this method to examine calcium disposition in the mitochondria of cultured human retinal ganglion cells (RGCs) exposed to pro-calcifying conditions relevant to optic disc drusen pathology. Our cryoEELS analysis revealed mitochondrial granules with elevated calcium signals, offering direct evidence of mitochondrial calcification. Additionally, cryoET coupled with artificial intelligence-based analysis enabled quantification of the volume and spatial distribution of these calcium granules. This integrated workflow can be broadly applied to various cell types, facilitating the study of ultrastructure and elemental distribution in subcellular structures under diverse physiological and pathological conditions, as well as in response to therapeutic interventions.

biophysics↗

bioRxiv2024

Naturally ornate RNA-only complexes revealed by cryo-EM

Myriad families of natural RNAs have been proposed, but not yet experimentally shown, to form biologically important structures. Here we report three-dimensional structures of three large ornate bacterial RNAs using cryogenic electron microscopy at resolutions of 2.9-3.1 [A]. Without precedent among previously characterized natural RNA molecules, Giant, Ornate, Lake- and Lactobacillales-Derived (GOLLD), Rumen-Originating, Ornate, Large (ROOL), and Ornate Large Extremophilic (OLE) RNAs form homo-oligomeric complexes whose stoichiometries are retained at concentrations lower than expected in the cell. OLE RNA forms a dimeric complex with long co-axial pipes spanning two monomers. Both GOLLD and ROOL form distinct RNA-only multimeric nanocages with diameters larger than the ribosome. Extensive intra- and intermolecular A-minor interactions, kissing loops, an unusual A-A helix, and other interactions stabilize the three complexes. Sequence covariation analysis of these large RNAs reveals evolutionary conservation of intermolecular interactions, supporting the biological importance of large, ornate RNA quaternary structures that can assemble without any involvement of proteins.

biophysics↗

bioRxiv2024

Visualizing nucleation, condensation and propagation of β-tubulin folding in chaperonin TRiC

The folding nucleus (FN) initiates protein folding and enables an efficient folding pathway. Here we directly visualize the tubulin FN consisting of a nonnative, partially assembled Rossmann fold, in the closed chamber of human chaperonin TRiC. Chaperonin TRiC interacts with non-natively folded secondary structural elements, stabilizing the nucleus for transition into its first native domain. Through progressive folding, the unfolded sequence goes through drastic spatial arrangement in the TRiC chamber to sample the conformational space, mediated by the highly dynamic CCT tails. The observed presence of individual nonnative secondary structures first in the nonnative FN and then around the incrementally folded native domains supports the hypothesis that tubulin folding in TRiC is a hierarchical process of nucleation, condensation and propagation in cooperation with TRiC subunits.

biophysics↗

bioRxiv2024

A Systematic Analysis of Read-Across Adaptations in Testing Proposal Evaluations by the European Chemicals Agency

An important element of the European Unions "Registration, Evaluation, Authorisation and Restriction of Chemicals" (REACH) regulation is the evaluation by the European Chemicals Agency (ECHA) of testing proposals submitted by the registrants to address data gaps in standard REACH information requirements. The registrants may propose adaptations, and ECHA evaluates the reasoning and issues a written decision. Read-across is a common adaptation type, yet it is widely assumed that ECHA often does not agree that the justifications are adequate to waive standard testing requirements. From 2008 to August 2023, a total of 2,630 Testing Proposals were submitted to ECHA; of these, 1,538 had published decisions that were systematically evaluated in this study. Each document was manually reviewed, and information extracted for further analyses. Read-across hypotheses were standardized into 17 assessment elements (AEs); each submission was classified as to the AEs relied upon by the registrants and by ECHA. Data was analyzed for patterns and associations. Testing Proposal Evaluations (TPEs) with adaptations comprised 23% (353) of the total; analogue (168) or group (136) read-across adaptations were most common. Of 304 read-across-containing TPEs, 49% were accepted; the odds of acceptance were significantly greater for group read-across submissions. The data was analyzed by Annex (i.e., tonnage), test guideline study, read-across hypothesis AEs, as well as target and source substance types and their structural similarity. While most ECHA decisions with both positive and negative decisions on whether the proposed read-across was adequate were context-specific, a number of significant associations were identified that influence the odds of acceptance. Overall, this analysis provides an unbiased overview of 15 years of experience with testing proposal-specific read-across adaptations by both registrants and ECHA. These data will inform future submissions as they identify most critical AEs to increase the odds of read-across acceptance.

pharmacology and toxicology↗

bioRxiv2024

CryoViT: Efficient Segmentation of Cryogenic Electron Tomograms with Vision Foundation Models

Cryogenic electron tomography (cryoET) directly visualizes subcellular structures in 3D at the nanometer scale. Quantitative analyses of cryoET data can reveal structural biomarkers of diseases, provide novel mechanistic insights, and inform the effects of treatments on phenotype. However, existing automated annotation approaches primarily focus on localizing molecular features with few methods accurately quantifying complex structures such as organelles. We address this challenge with CryoViT, a paradigm shift from traditional convolutional neural networks that leverages vision transformers to enhance the segmentation of large pleomorphic structures that can occupy almost the entire field of view in high-magnification images, such as mitochondria. CryoViT is powered by a large-scale vision foundation model and overcomes limitations of popular U-Net based methods, particularly when training data are scarce. We demonstrate the efficacy of CryoViT on a large cryoET dataset of neurons differentiated from iPSCs derived from Huntington disease (HD) patients and cultured HD mouse model neurons.

bioinformatics↗

bioRxiv2024

Missing Wedge Completion via Unsupervised Learning with Coordinate Networks

Cryogenic electron tomography (cryoET) is a powerful tool in structural biology, enabling detailed 3D imaging of biological specimens at a resolution of nanometers. Despite its potential, cryoET faces challenges such as the missing wedge problem, which limits reconstruction quality due to incomplete data collection angles. Recently, supervised deep learning methods leveraging convolutional neural networks (CNNs) have considerably addressed this issue; however, their pretraining requirements render them susceptible to inaccuracies and artifacts, particularly when representative training data is scarce. To overcome these limitations, we introduce a proof-of-concept unsupervised learning approach using coordinate networks (CNs) that optimizes network weights directly against input projections. This eliminates the need for pretraining, reducing reconstruction runtime by 3 - 20x compared to supervised methods. Our in silico results show improved shape completion and reduction of missing wedge artifacts, assessed through several voxel-based image quality metrics in real space and a novel directional Fourier Shell Correlation (FSC) metric. Our study illuminates benefits and considerations of both supervised and unsupervised approaches, guiding the development of improved reconstruction strategies.

molecular biology↗