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Tang, Q.

Publications and source records attributed to Tang, Q..

At least 19 recordsLinked to original sources

Widespread Presence of Catalytic RNAs in All Domains of Life

Very few ribozymes have been found in complex eukaryotes. Here, we developed a novel method, AbRiDGed, for highly accurate and sensitive ab initio self-cleaving ribozyme discovery. Our results indicate the existence of millions of self-cleaving ribozymes in humans and other species. We characterized ~150 novel classes of self-cleaving ribozymes, including one class which exhibits noncanonical biochemical properties and widespread presence in all domains of life and appears to play specific functions in complex organisms. These results revealed that the true complexity of the "ribozyme-ome" is several orders of magnitude higher than previously estimated. We demonstrate that newly identified self-cleaving ribozymes influence organismal fitness by regulating gene expression and enhancing transcriptome complexity in vivo. Moreover, these ribozymes hold promise as foundational tools for biotechnological applications, such as direct RNA detection technologies. Overall, catalytic RNAs are prevalent and diverse, and may represent a hidden regulatory layer in various organisms.

molecular biology↗

ANO6 Scaffolds ER Mitochondria Contacts to Govern Spatial Lipid Compartmentalization and Ferroptosis Evasion in Chemoresistant Breast Cancer

Background: Metabolic glycerophospholipid remodeling promotes tumor persistence under neoadjuvant chemotherapy in breast cancer; however, how resistant cells evade lipotoxicity from accumulating peroxidizable lipids presents an intriguing metabolic conundrum. The underlying organelle-level spatial mechanisms remain poorly defined. Methods: Integrated multi-omic profiling of paired pre- and post-NAC clinical specimens was performed. Engineered ANO6 models (wild-type, knockout, and conformational mutants) were characterized using subcellular lipidomics of purified mitochondria-associated ER membranes (MAMs), electron microscopy, in situ proximity ligation assays, and preclinical xenograft models. Results: Chemoresistant lesions exhibited marked ANO6 upregulation and polyunsaturated phospholipid (PUFA-PL) accumulation without enhanced apoptosis. Beyond its canonical role as a plasma membrane scramblase, ANO6 operates as an organelle contact scaffold at MAMs, leveraging its conformational activation to coordinate inter-organellar tethering. ANO6 directly recruits vimentin (VIM) and VAPB to assemble a VIM-ANO6-VAPB-PTPIP51 tethering platform, structurally bridging intermediate filaments to organelle contact sites. This complex tightens ER-mitochondria coupling, establishing a specialized structural platform that routes and sequesters peroxidizable lipids into protective cytoplasmic lipid droplets, thereby shielding functional membrane bilayers from ferroptotic peroxidation. Functional dissection revealed that the active scaffolding conformation (I612A) sustains MAMs integrity and lipid packaging, whereas scaffold deficiency (D703R) compromises contact architecture. Pharmacologically perturbing this platform with niclosamide destabilized lipid sequestration, selectively resensitizing chemoresistant cells to synthetic lethal ferroptosis in vitro and in vivo. Conclusions: ANO6-mediated contact scaffolding governs spatial lipid compartmentalization, establishing the ANO6-MAMs structural axis as a potential target to exploit lipid metabolic vulnerabilities in refractory breast cancer.

cancer biology↗

One Scaffold, Many Targets: Fully Modified RNA Nanostructures for Multi-Gene Silencing Beyond the Liver

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

molecular biology↗

Distinct RNA-RNA spatial interaction sub-networks of transcription factors in hepatic cells

We applied the latest RIC-seq technology to study the RNA-RNA interactions in human liver HepG2 cells. Integrating ChIP-seq data with the RIC-seq data, we clas-sified vari ous transcription factors (TFs) into two distinct clusters based on the in-teraction enrichment scores of the uaRNA (RNA transcribed in promoter regions) and eRNA (RNA tran scribed in enhancer regions) potentially transcribed by the TF binding sites. We went on to compare the genomic features and clinical significance across different clusters, by further integrating Hi-C, ATAC-seq, and clinical data from liver cancer patients. Our results showed that Cluster 1 exhibited low spatial interaction (RIC-seq derived RNA-RNA interactions between regulatory RNA ele-ments) and high tissue specificity (high proportion of binding sites covered by shared peaks between two different cell lines for each histone modification marker), showed higher associations with the B compartments and nucleoli, contained less densely clustered TF binding sites, and is more correlated with clinical outcomes. In contrast, Cluster 2 has higher spatial interaction, is more likely to be found in the A compartments and nuclear speckles, contained more densely clustered TF binding sites, and is more prone to form loops. These findings suggested that these transcrip-tion factors might play critical roles in regulating gene expression and serve as po-tential biomarkers and therapeutic targets with significant implications for cancer prognosis and treatment. In summary, groups of TFs could occur as distinct sub-networks based on spatial proximity of non-coding RNAs transcribed by the TF binding sites. These sub-networks appear to be related to regulatory differences for the TF groups and may partially explain the chromosome compartments/domains.

genomics↗

A c-di-AMP-controlled glutamine synthesis pathway promotes persistence of Staphylococcus aureus thymidine-dependent small colony variants in the lung

Children with cystic fibrosis (CF) commonly harbor Staphylococcus aureus thymidine-dependent small-colony variants (TD-SCVs), which are associated with reduced lung function and increased respiratory exacerbations. How TD-SCVs survive in the thymidine-limited CF lung is unknown. Here, we show that TD-SCVs exhibit impaired glutamine uptake and depend on c-di-AMP-regulated de novo glutamine synthesis for survival in the murine lung. We found that transcription of the glutamine synthetase gene glnA is cooperatively repressed by the transcriptional regulator GlnR, the c-di-AMP-binding protein PstA, and GlnA itself. Glutamine starvation elevates c-di-AMP levels, relieving repression by this ternary complex and promoting glutamine synthesis. Reducing c-di-AMP levels causes a profound growth defect in TD-SCVs under low-thymidine conditions, which is rescued by glnA overexpression. Moreover, pharmacological inhibition of GlnA markedly impairs TD-SCV growth in murine lung. These findings elucidate the molecular mechanism underlying S. aureus TD-SCV survival during infection and identify glutamine synthesis as a promising therapeutic target for treating infections caused by antifolate-resistant bacteria.

microbiology↗

Adipose GPD2 Couples Glycolytic Signals to Epigenetic Control of Metabolic Homeostasis

The glycerol-3-phosphate shuttle (G3PS) is a classic reducing equivalent transferring system, yet its role in adipose metabolism remains poorly understood. Here, we identify mitochondrial glycerol-3-phosphate dehydrogenase (GPD2), the core enzyme of G3PS, as a critical orchestrator of adipose thermogenesis and systemic metabolic homeostasis. Adipocyte-specific GPD2 knockout mice exhibited impaired thermogenic capacity and energy expenditure, rendering them susceptible to obesity and metabolic dysfunction. Mechanistically, GPD2 deficiency elevated cytosolic NADH, which suppressed glycolysis and decreased the levels of key metabolites, such as acetyl-CoA, thereby diminishing H3K27ac at thermogenic gene loci and silencing these genes. NADH depletion with an NADH oxidase rescued both glycolysis and thermogenic gene expression. In support of this mechanism, we defined a previously undescribed enhancer of Ucp1 whose H3K27ac was tightly controlled by GPD2. Remarkably, replenishing the acetyl-CoA pool or directly restoring H3K27ac at the Ucp1 enhancer reversed UCP1 expression in GPD2-deficient adipocytes. Importantly, we find that human adipose GPD2 expression is inversely correlated with BMI, WHR, and HOMA-IR, underscoring its clinical relevance. Collectively, our findings establish GPD2 as an essential node in the metabolic-epigenetic axis that governs thermogenic activation and energy balance.

biochemistry↗

Hepatitis C Virus Remodels Lipid Droplets to Promote Mitochondrial Fatty Acid Accumulation and Metabolic Activation

Hepatitis C virus (HCV) depends on host lipid metabolism and lipid droplets (LDs) for genome replication, assembly, and particle production, yet how LD structure and lipid utilization change over the course of infection remains incompletely understood. Here, we investigated the temporal remodeling of LD-associated metabolic pathways during HCV JFH-1 infection of human hepatoma Huh7 cells. HCV infection transiently increased LD fluorescence intensity at 24 hours post-infection (hpi), followed by normalization or relative loss of LD signal at later time points. Concomitantly, LDs became progressively clustered and enlargement during late infection, despite reduced protein levels of the canonical LD fusion proteins CIDEA, CIDEB, and CIDEC, suggesting that HCV-induced LD enlargement occurs through CIDE-independent mechanisms. Transcriptomic, RT-qPCR, and immunoblot analyses revealed time-dependent regulation of genes and proteins involved in LD structure, triglyceride synthesis, lipolysis, lipid uptake, and mitochondrial fatty acid utilization. Subcellular fractionation demonstrated preferential accumulation of fatty acids in mitochondrial fractions at 24-72 hpi. This redistribution was accompanied by increased oxygen consumption rate, elevated extracellular acidification, and progressive reactive oxygen species accumulation, indicating infection-associated metabolic activation and oxidative stress. Pharmacological inhibition of DGAT1-dependent LD biogenesis, LIPA-dependent lysosomal lipid hydrolysis, LIPE/HSL-dependent lipolysis, or CPT1-dependent mitochondrial fatty acid transport markedly reduced mitochondrial fatty acid accumulation and suppressed HCV-induced respiratory activity. Inhibition of LIPA or LIPE/HSL reduced both HCV RNA and core protein levels, whereas inhibition of CPT1 or DGAT1 had more pronounced effects on core protein than on viral RNA. Together, these findings support a model in which HCV dynamically remodels LDs, mobilizes LD-associated fatty acids, and redirects them toward mitochondria to support infection-associated metabolism and downstream stages of the viral life cycle. Lipid hydrolysis and mitochondrial fatty acid trafficking therefore represent potential host-directed targets for limiting HCV infection. SIGNIFIGANCEHepatitis C virus depends on host lipid metabolism for replication, assembly, and production of infectious particles, but how it uses lipid droplets over time remains incompletely understood. This study shows that hepatitis C virus dynamically remodels lipid droplets, causing an early increase in lipid storage followed by droplet enlargement and mobilization of fatty acids during later infection. The released fatty acids preferentially accumulate in mitochondria, where they are associated with increased cellular respiration and oxidative stress. Blocking lipid droplet formation, lipid breakdown, or fatty acid transport to mitochondria reduced this metabolic response and decreased viral RNA or core protein accumulation. Inhibition of lysosomal acid lipase and hormone-sensitive lipase suppressed both viral RNA and protein levels. These findings identify lipid droplet breakdown and mitochondrial fatty acid trafficking as important host processes used by hepatitis C virus and as potential targets for host-directed antiviral intervention.

microbiology↗

Unbranched SPIN90-Arp2/3 actin promotes stress fiber speed and focal adhesion maturation

The Arp2/3 complex has long been considered to only assemble branched actin structures in the cell (lamellipodia, endocytic patches, comet tails, and many more). We show for the first time by single-molecule tracking (SMT) that the Arp2/3 complex and SPIN90, which activates Arp2/3 complex to nucleate unbranched filaments, bind to and move in the basal cortex with stress fibers and focal adhesions (FA) that, unlike known sites of Arp2/3 enrichment, employ linear actin bundles. SPIN90 knockout in U2OS cells significantly increases the rate of collective cell migration while decreasing cellular traction (myosin-II and actin speeds) and adhesion (FA size and maturation markers). SPIN90s SH3 domain, similar to its adapter protein Nck1, shows enrichment in FAs, suggesting a possible location for SPIN90-Arp2/3 complex activity. Together, our findings indicate that SPIN90-Arp2/3 nucleated filaments also function in stress fibers where they help define the mechanics of traction and adhesion to regulate cell motility. Significance statementThe Arp2/3 complex, the branched actin nucleator, drives pushing forces in the cytoplasm, yet its diffuse cortical localization has obscured its functions within unbranched structures. In conventional microscopy, associations of molecules with specific structures are impossible to verify when there is little enrichment over the cytoplasm. Whereas other methods fail to provide convincing evidence of such associations, we used single molecule tracking in live cells to identify molecules that track the motions of stress fibers. Thus, we were able to discover that the Arp2/3 complex and SPIN90, proteins whose roles in cell biology have been thus far limited to branched actin networks, directly integrate within the unbranched stress fiber network to promote cell adhesion and traction for cell migration.

cell biology↗

Dynamic Gating Mechanism of the b0,+AT-Mediated Arg Transport: Insights from ASMD Simulations

Heteromeric amino acid transporters (HATs) mediate essential amino acid flux across membranes, but the molecular dynamics of substrate translocation remain poorly defined for many family members. Here, using conventional and adaptive steered molecular dynamics (cMD and ASMD) simulations, we identify residue W230 in the b0,+AT transport channel as a dynamic gate that regulates arginine (Arg) influx through side chain flipping. By integrating dynamic network analysis with dynamical cross-correlation of residue motions, we show that regulatory signals propagate from the Arg binding site through transmembrane helix 5 (TM5), a connecting loop, and TM6 to reach W230. We propose a dynamic gating mechanism for b0,+AT - mediated amino acid transport. Arg binding at V186 triggers signal propagation that enhances cooperative interactions between W230 and Arg, driving the side chain flipping of W230. Our findings reveal a dynamic gating mechanism underlying b0,+AT - dependent Arg transport and suggest that residue-triggered side chain reorientation may represent a conserved and efficient strategy in transporter function. Author SummaryAmino acids are the essential building blocks of life, and their transport across cell membranes is vital for nutrition and cellular signaling. Heteromeric amino acid transporters (HATs) mediate this process, yet how they physically move substrates through the protein at the atomic level remains poorly understood. In this study, we used advanced computer simulations to observe, in unprecedented detail, how b0,+AT--a key HAT member--transports the amino acid arginine. Our simulations revealed that a single residue, tryptophan 230 (W230), functions as a molecular gate: its side chain flips open to allow arginine to pass and then closes behind it, ensuring one-way traffic into the cell. We further discovered that the initial binding of arginine sends a signal through specific structural elements (helices and loops) to trigger this gate opening. This work not only uncovers a dynamic gating mechanism for b0,+AT but also suggests that similar side-chain flipping events may represent a common and efficient strategy used by other transporters to control substrate movement. Our findings provide a new framework for understanding transporter function and could inform future drug design targeting these critical membrane proteins.

biophysics↗

The ATLAS Penalty: Auxiliary-Transformed Location-Aware Smoothing with Applications to Spatial Transcriptomics

We address the problem of fitting a collection of location-specific models under a spatial smoothness assumption. Existing approaches penalize roughness in the model parameters directly, an assumption that breaks down when smoothness is a function of parameters and auxiliary covariates rather than the parameters themselves. Our framework, the Auxiliary-Transformed Location-Aware Smoothing (ATLAS) penalty, generalizes spatial smoothness by penalizing roughness in transformations of model parameters using auxiliary information. As a concrete case study, we develop a spatially smooth deconvolution model for spatial transcriptomics that estimates tumor mixing coefficients from thousands of spots distributed on a single tissue slide. To handle the computational challenges posed by the nonlinear likelihood, nonsmooth nonconvex penalty, and spatially coupled estimation, we propose an alternating direction method of multipliers (ADMM) algorithm. Through simulation studies, we demonstrate that our framework provides substantially better spatial domain detection than approaches that smooth model parameters directly, with particularly strong gains when auxiliary covariates carry calibrated spatial structure.

bioinformatics↗

DCN1 inhibitor induces fetal hemoglobin through self-limited regulation of CUL3 neddylation

Few genetic loci are as well-characterized as the globin gene locus, and the substitution of healthy {gamma}-globin (HbF) for missing or mutated {beta}-globin (HbB) is an established therapeutic strategy for {beta}-hemoglobinopathies including sickle cell disease (SCD) and {beta}-thalassemia. Although substantial progress has been made in understanding HbF derepression and globin switching, many current therapeutic strategies involving small molecules increase HbF through broad epigenetic perturbations or cytotoxic stress, raising concerns about dose-limiting cytopenias and off-target effects. By coupling single-cell transcriptomics, genetic perturbations, and functional genomics, we identified an unknown role of neddylation in the regulation of fetal hemoglobin (HbF). Partial impairment of neddylation of cullin ubiquitin ligase 3 (CUL3) through defective in cullin neddylation 1 (DCN1) inhibition leads to highly selective chromatin changes, histone demethylation, and globin locus binding of known activators of HbF transcription. Further, DCN1 inhibition drives globin switching and HbF increases in vitro and in vivo with minimal off-target transcriptional effects and no evidence of cytotoxicity or stress erythropoiesis. To therapeutically target this axis, we report the discovery and characterization of CLY-124, a first-in-class, covalent DCN1 inhibitor with favorable pharmacology properties. In a humanized mouse model, CLY-124 showed a dose-dependent increase in HbF as monotherapy and in synergy with hydroxyurea (HU), a current standard of care. Collectively, these findings highlight the power of single-cell transcriptomics to elucidate undiscovered biologic insights with therapeutic potential, and the promise of DCN-1 inhibitors like CLY-124 to address {beta}-hemoglobinopathies. With an appropriate nonclinical safety profile, a first-in human study of safety, pharmacokinetics and HbF assessments in healthy volunteers and participants with SCD is ongoing for CLY-124. One-sentence SummaryDCN1 is a promising target for {beta}-hemoglobinopathies

molecular biology↗

A global metagenomic atlas uncovers ubiquitous biosynthetic potential linked to adaptation in extreme environments

Extreme environments impose severe physicochemical stresses that drive microorganisms to evolve specialized survival strategies. Microbial secondary metabolites determined by biosynthetic gene clusters (BGCs) are recognized as important mediators of microbial adaptation to environmental stress. However, their ecological roles, particularly habitat-dependent preferences across different environments, remain poorly understood. Although extreme environments provide opportunities to mine microbiomes for unique adaptations, such research is hampered by a lack of systematic overview of its genomic diversity, BGC diversity, and the relationships between them. Here, we constructed a standardized extremophilic genomic catalogue (SEGC) from 1,462 metagenomic samples spanning seven representative extreme habitats. The catalogue comprised 54,661 metagenome-assembled genomes representing 21,805 species, 66.1% of which were previously uncharacterized. With this catalogue, we identified 162,855 BGCs distributed across 81.5% of MAGs. Gene cluster family analysis showed the strong habitat dependence largely explained by species-level habitat specificity. Terpene biosynthetic pathways illustrated habitat-linked adaptive strategies, with hopan-22-ol biosynthesis enriched in acid mine, deep sea and hydrothermal plume environments, while retinal-based phototrophy predominated in cryosphere and saline-alkaline habitats. Metatranscriptomic analyses supported in situ activity of these pathways. In conclusion, we presented a global atlas of biosynthetic potential across extreme-environment microbiota and revealed habitat-dependent patterns of secondary metabolism linked to microbial survival.

microbiology↗

A Non-Canonical Role of SMAD4 in Regulating 3D Genome Architecture to Inhibit Lung Squamous Cell Carcinoma Development

Lung squamous cell carcinoma (LUSC) lacks clearly defined key drivers and effective targeted therapies, reflecting an incomplete understanding of its molecular pathogenesis. Here, we identify SMAD4 as a critical regulator of three-dimensional (3D) genome organization in LUSC and uncover a mechanistic link between tumor suppressor loss and oncogenic transcriptional activation. By integrating clinical datasets, genetically engineered mouse models, human and murine LUSC cell lines, and multi-omics analyses, we demonstrate that SMAD4 deficiency promotes LUSC progression by unleashing EP300-mediated enhancer-promoter looping at the SOX2 locus. Mechanistically, SMAD4 does not directly bind SOX2 regulatory elements but instead constrains chromatin looping by sequestering EP300 away from loop anchor regions. Loss of SMAD4 leads to enhanced H3K27ac deposition, aberrant SOX2 activation, and increased LUSC tumor cell proliferation. Together, these findings reveal a non-canonical role for a transcription factor (e.g., SMAD4) in regulating dysregulated 3D genome architecture to inhibit tumor development.

cancer biology↗

Polyclonal-Monoclonal Transition in Lung Squamous Cell Carcinoma Evolution

The evolutionary trajectory of lung squamous cell carcinoma (LUSC) remains poorly defined, hindering the development of effective therapies. By integrating genomic and transcriptomic sequencing from human LUSC specimens, we delineated a polyclonal-to-monoclonal evolutionary trajectory during LUSC progression. This evolutionary pattern was corroborated by single-cell RNA sequencing, which revealed consistent tumor cell heterogeneity. Specifically, the SBS5 mutational signature was enriched and correlated with poor prognosis independent of tumor stage. By further utilizing the spontaneous LUSC mouse model to identify key genomic and genetic events in LUSC progression, we observed that the JNK pathway was inhibited and that cytoskeleton-related pathways were dysregulated during LUSC development, and identified the mutations in the JNK pathway (e.g., DACT1) and cytoskeletal regulators (e.g., KIF26A). Collectively, these findings established a polyclonal-monoclonal evolution paradigm for LUSC, potentially regulated by JNK pathways, which could benefit LUSC precision therapeutics.

genomics↗

A vagal gut-brain axis for feeding induced gastric secretion

Feeding begins with food-seeking and ends with nutrient absorption and waste elimination. Although meal-related sensory cues are known to shape feeding behavior, how they engage neural circuits to control digestion remains unclear. We dissected vagal gut-brain-gut pathways that mediate meal-induced gastric secretion. Vagal afferent neurons innervating the stomach were necessary and sufficient for secretion. Among those, Glp1r and Sst neurons robustly drove acid, pepsin, and gastrin secretion, whereas Oxtr and Vip neurons had little effect. Piezo2 was expressed in Glp1r mechanosensory afferents, and conditional deletion of Piezo channels attenuated distension-evoked secretion. On the efferent limb, genetically defined vagal motor neuron subsets differentially recruited secretory outputs: Cck neurons broadly increased acid, pepsin, and gastrin, whereas Grp neurons preferentially drove acid secretion. Finally, enteric circuit dissection revealed modular output control: Calb2 enteric neurons potently drove secretion with minimal motility effects, Grp enteric neurons coupled secretion to motility, and Cysltr2 enteric neurons selectively modulated acid output. Together, these results define a cell-type resolved vagal-enteric architecture for gastric control and show that secretory and motor programs can be segregated across dedicated enteric neuron subtypes.

neuroscience↗

Prediction of ligand-dependent conformational sampling of ABC transporters by AlphaFold3 and correlation to experimental structures and energetics

AlphaFold3 architecture represented an important leap relative to Alphafold2 by enabling the inclusion of protein ligands in the prediction network. Ligand-dependent structural rearrangements are inherently difficult to predict computationally as they imply transitions between states separated by large energy differences. Here we apply AlphaFold3 to predict nucleotide-dependent changes in the conformational cycle of representative ABC transporters that have been extensively investigated by experimental structural biology techniques. We show that under similar conditions, AlphaFold3 predictions sample experimentally observed conformations. Moreover, the heterogeneity of these predictions correlates with experimental measures of dynamics obtained from multiple techniques. For couple of the tested transporters, the implied relative energetics of the conformations mirror their experimental counterpart. Remarkably, AlphaFold3 predicts previously unobserved conformations that have been implied to be sampled by ABC transporters. Finally, we report preliminary results showing that postulated sequence determinants of conformational changes modify the predictions of AlphaFold3. Although hundreds of ABC transporter structures have been determined and were included in the training data of AF3, we propose that aspects of its predictions reflect extrapolation of principles learned from these structures.

bioinformatics↗

Live high-content imaging with automated analysis reveals mitochondrial changes during vascular calcification

Mitochondrial dysfunction is implicated in a wide range of disorders, including cancer, neurodegeneration, and cardiovascular diseases. Conventional assays typically assess mitochondrial function by measuring bulk respiration rates across thousands of cells. While informative, these approaches cannot resolve the behavior of individual mitochondria, may overlook rare mitochondrial events, and often lack sensitivity to subtle changes. Fluorescence microscopy provides single-organelle resolution but is usually low throughput; for example, imaging 1000 cells can require from 20 minutes to an entire day depending on imaging mode. Additionally, analysis of fluorescence images frequently relies on manually selected thresholds, introducing potential bias and variability due to differences in signal-to-background ratios across cells. Here, we present a High-throughput Mitochondrial Imaging Platform (H-MIP) combined with a deep learning segmentation model, enabling rapid imaging and automated characterization of mitochondrial morphology in millions of mitochondria from tens of thousands of cells. We demonstrate the utility of H-MIP by assessing mitochondrial morphology following treatment with Mdivi-1, an inhibitor of mitochondrial division. Furthermore, we employ an in vitro disease model (vascular calcification) to show that mitochondria become elongated in vascular smooth muscle cells undergoing pathological calcification. Overall, H-MIP provides a scalable and robust tool for investigating mitochondrial structure, with the potential to accelerate therapeutic discovery targeting mitochondrial health. HighlightsO_LIH-MIP enables high-throughput imaging of mitochondrial morphology and automated single-mitochondrion analysis at scale. C_LIO_LIH-MIP links mitochondrial morphology to an established disease model, with exciting implications for drug discovery. C_LI

cell biology↗

Conformational landscape and clustering of human type 2 IP3 receptor in lipid nanodiscs

Inositol 1,4,5-trisphosphate (IP3) receptors (IP3Rs) are tetrameric ER Ca2+ channels that shape intracellular Ca2+ signaling in response to IP3, regulating many physiological processes. The structural basis for subtype-specific regulation of three subtypes (IP3R-1-3) remains incompletely understood, due to the lack of IP3R-2 structures. Here, we determined cryo-electron microscopy (cryo-EM) structures of human IP3R-2 in distinct conformations with and without IP3, Ca2+, and ATP. These structures define the conformational ensembles adopted by IP3R-2 and delineate ligand-binding interactions. Comparison with rat IP3R-1 and human IP3R-3 highlights shared architectural features and isoform-specific differences that underlie subtype-specific functional properties. We also resolved structures of IP3R-2 clusters, providing insight into mechanisms of ligand-dependent clustering. Together, these findings establish a structural framework for human IP3R-2, linking ligand recognition to conformational transitions and interchannel interfaces, and illuminate how subtype-specific features and clustering may shape cellular Ca2+ signaling.

biophysics↗