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Guo, M.

Publications and source records attributed to Guo, M..

At least 37 records · Page 2Linked to original sources

Monounsaturated fatty acid biosynthesis is critical for streptococcal envelope homeostasis and stress tolerance

AbstractThe genus Streptococcus contains some of the most important commensals and pathogens of the human microbiome. To obtain the fatty acids required for cell membranes, Streptococcus either produce fatty acids de novo through the fatty acid biosynthesis (fab) pathway or uptake host fatty acids through the fatty acid kinase (fak) pathway. Although both the fab and fak pathways represent potential therapeutic targets to prevent or treat infection, progress is limited because of an incomplete understanding of taxon-to-taxon variability in streptococcal lipid metabolism. Here, we examined the role of de novo monounsaturated fatty acid (MUFA) synthesis in physiology and virulence-associated traits in Streptococcus mutans, Streptococcus pyogenes, and Streptococcus pneumoniae, three major pathogens that cause disease at distinct body sites. In all three species, deletion of fabM abolished MUFA production and caused severe growth defects, decreased stress tolerance, increased antibiotic susceptibility, and defects in cell viability, morphology, and division. In S. mutans, loss of fabM also markedly reduced competence signaling and production of the mutacin IV bacteriocin. Deletion of fabM increased susceptibility to killing by human neutrophils in S. mutans and S. pneumoniae, but not S. pyogenes. Together, these findings illustrate that MUFA synthesis is broadly important for streptococcal physiology and cell membrane homeostasis, while its contribution to pathogenesis is strongly species- and context-dependent, providing leads to guide development of novel therapeutic and/or preventative strategies.

microbiology↗

Poly(A)-tail-length-dependent surveillance of viral RNA by PABPC1 orchestrates broad-spectrum antiviral defense

RNA processing and modification are critical for virus replication and pathogenesis, yet how the host exploits viral RNA features--particularly the poly(A) tail--for antiviral defense remains unclear. Through multi-omics integration and systematic functional screening, we identify the poly(A)-binding protein PABPC1 as a broad-spectrum restriction factor against multiple coronaviruses. We demonstrate that PABPC1 preferentially binds viral RNAs bearing short poly(A) tails--distinct from the longer and more heterogeneous host poly(A) tails--and, in a poly(A)-length-dependent manner, recruits the mitochondrial exonuclease EXD2 to assemble a degradative RNA-protein complex. Both the recognition and subsequent degradation of viral RNA strictly depend on poly(A) tail length, enabling selective decay of short-tailed viral transcripts while sparing host mRNAs. Importantly, inflammatory signaling enhances the expression of PABPC1 and EXD2, suggesting its role as an inducible host defense pathway activated during viral infection. Capitalizing on this discovery, we engineered a synthetic fusion protein mimicking the PABPC1-EXD2 complex and achieved efficient delivery using lipid nanoparticles (LNPs). This rationally designed therapeutic exhibits robust suppression of coronavirus replication in both cellular and murine models. Collectively, our findings uncover a novel host antiviral strategy that targets a conserved viral RNA structural element and provide a conceptual framework for developing host-derived and broad-spectrum anti-coronavirus therapeutics.

microbiology↗

Pan-cancer silencer transcription atlas reveals leukemia silencer hijacking FOXP1 to enhance MYC oncogene

Numerous non-coding regulatory elements have been identified in the human genome. However, our understanding of silencers remains largely incomplete. Here, we proposed the concept of silencer transcriptional activity (STA) to investigated silencers from a new perspective using >20,000 transcriptomes. We demonstrated that lower STAs predicted better patient outcomes in most cancers, and a subset of STAs distinguished tumors from noncancerous tissues for most cancer types. Importantly, we discovered a silencer-linked RNA (slRNA) of a leukemia cell-specific silencer (LeSSi). Knocking down (KD) of the slRNA significantly decreased leukemia cell viability and migration and increased cellular apoptosis. Furthermore, the direct link and functional similarity between LeSSi and slRNA were established by CRISPR/Cas9 knocking out (KO) of LeSSi. Mechanistically, the slRNA hijacked FOXP1, which functions here both as a known transcription factor (TF), and more importantly, as a novel RNA binding protein (RBP), thereby preventing FOXP1 from binding to the promoter of proto-oncogene MYC and subsequently promoting MYC transcription. Collectively, our work provides insights into the functions of silencers in cancer and identified a slRNA hijacking FOXP1 to enhance MYC expression in leukemia cells.

genomics↗

Pan-cancer RNA editing activity reveals complex editing functions and cancer immunotherapy biomarkers

Pervasive RNA editing in human diversifies the transcriptome and proteome. However, biological functions of most RNA editing sites remain to be uncovered. Here, we developed a computational framework (iPEAPR) to investigate editing functions in various pathways and regulatory elements, by using only summary information of millions of editing sites, in >5,000 cancer samples and in >2,500 normal samples, and large numbers of manually curated functional annotations. We observed heterogeneous editing activities across features. Surprisingly, enhancers were among features showing the highest editing activities. Editing of epithelial-mesenchymal transition was the most significantly associated with patient survival. Moreover, editing associations with cancer stemness, DNA repair deficiency, and tumor immune infiltrations uncovered known and potential regulators of tumor features. We constructed an editing-mediated regulatory network, which revealed new editing modulators, including experimentally validated TNRC6A. Lastly, we demonstrated that EIs can act as biomarkers of both anti-PD1 immunotherapy and other cancer drugs, such as MEK and BRAF inhibitors. Collectively, iPEAPR enabled depicting RNA editing-dependent abnormal functions in cancer and can be applied to more diseases.

bioinformatics↗

Ser129 Phosphorylation Paradox: Non-phosphorylated α-Synuclein Drives Parkinson' s Disease-like Pathogenesis in Vivo

Accumulation of phosphorylated -synuclein at serine 129 is a hallmark of Parkinsons disease (PD), but its pathogenic role remains controversial. We conducted longitudinal studies using non-phosphorylatable S129A and phosphomimetic S129D -synuclein global knock-in mice. Unexpectedly, the S129A mice--rather than S129D mice--developed reproducible olfactory, motor, and cognitive deficits, dopaminergic dysfunction and neurodegeneration, -synuclein insolubility, and Lewy-like inclusions by 3 to 9 months, with progressive worsening up to 12 months of age. Spatial transcriptomics and electron microscopy revealed mitochondrial, synaptic, and protein ubiquitination abnormalities in the substantia nigra of S129A -synuclein mice. Viral vector-mediated nigral overexpression of S129D--synuclein or systemic administration of an anti--synuclein-aggregation drug partially alleviated the early neurological phenotypes of S129A mice. These results implicate non-phosphorylatable -synuclein as a direct pathogenic driver for PD.

neuroscience↗

SIRP: A Self-Supervised Fluorescence Denoising method with Implicit Representation Priors

Fluorescence microscopy plays a critical role in live-cell imaging, yet the captured images often suffer from significant noise due to limited excitation intensity and constrained exposure times. Deep learning has emerged as a powerful solution for image denoising, especially the self-supervised methods can achieve good restoration performance without requiring clean target data. However, their performance in preserving fine image details remains challenging under low signal-to-noise ratio (SNR) conditions. In this work, we propose a novel self-supervised denoising framework named Self-Supervised Implicit Representation Prior Image Restoration Network (SIRP). It is based on the neighbor-sampling strategy and leverages image representation priors to guide the network training procedure. The neighbor-sampling strategy takes advantage of the inherent statistical consistency within local image regions to denoise. The image representation priors are learned through the Implicit Neural Representations (INR) that map spatial coordinates directly to their corresponding pixel intensities to suppress noise and effectively preserve details. Results of SIRP on simulated data and experimental-acquired data showed superior denoising performance and detail-preserving ability compared to filter-based approaches and self-supervised approaches, highlighting the potential of INR-guided architectures for fluorescence microscopy image restoration.

cell biology↗

An extensive forward genetic screen identifies the HWS-AGO1 axis as pivotal for target mimicry-mediated miRNA degradation in Arabidopsis

Target RNAs have emerged as key regulators of miRNA stability, thereby influencing development and physiological processes in both plants and animals. The F-box protein HAWAIIAN SKIRT (HWS) has been characterized as a crucial factor in targeted miRNA degradation in plants (pTMD), a process triggered by a specific type of target RNA called target mimicry. However, the precise mechanism by which HWS functions is still poorly understood. We previously established a genetic reporter system based on Short Tandem Target Mimicry of miR160 (STTM160) triggered miR160 degradation, resulting in pleiotropic developmental defects that are easy to monitor. Here, through an extensive forward genetic screen, we identified fourteen additional hws alleles that near-completely restored STTM160-induced developmental defects, highlighting a central role for HWS in pTMD. Intriguingly, we discovered two adjacent amino acid substitutions (R421K and G422D) in the PAZ domain of AGO1 that significantly suppressed the STTM160 phenotype. Similar to HWS dysfunction, the AGO1 R421K substitution caused a significant retention of target mimicry RNAs in AGO1 immunoprecipitates, suggesting that the R421 residue of AGO1 may cooperate with HWS for the clearance of AGO1-miRNA-target mimicry complexes. Although the R/G mutations only impacted a small set of endogenous miRNA levels, they were sufficient to rescue the developmental defects caused by HWS overexpression (HWS-OE), suggesting that the developmental abnormalities caused by HWS-OE largely depend on the AGO1-miRNA pathway. Taken together, our findings provide a solid genetic evidence for the coordination of HWS and AGO1 in pTMD.

plant biology↗

Observing biological spatio-angular structures and dynamics with statistical image reconstruction and polarized fluorescence microscopy

Understanding molecular orientation and density distributions is essential for exploring biological structure and function. Polarized fluorescence microscopy (PFM) provides insights into molecular architecture but struggles to resolve three-dimensional (3D) molecular orientation distributions, particularly in densely labeled or structurally complex specimens. To address this, we introduce the efficient generalized Richardson-Lucy (eGRL) algorithm, a robust framework for reconstructing 3D molecular density and orientation (spatio-angular) distributions from PFM data. By modeling the imaging process in spatio-angular hyperspace, we propose a maximum-likelihood solution enhanced by dimensionality reduction and angular domain transformation to overcome computational challenges. eGRL improves accuracy and efficiency across different PFM implementations, enabling use on standard platforms. We utilize our methods to resolve biological spatio-angular structures and dynamics otherwise impossible to resolve, including the tangential alignment of actin filaments in U2OS cells, nanowire-guided cytoskeletal organization in NIH3T3 cells, rotational actin patterns in live HeLa protrusions, and membrane tension-induced anisotropy in live macrophages.

bioengineering↗

Expression of vimentin intermediate filaments in epithelial cells promotes cell migration and cell matrix interaction in 3D

During a variety of physiological and pathological processes, such as development, wound healing, and tumor progression, epithelial cells collectively invade into their surroundings. Vimentin intermediate filaments (VIFs) are often observed to play a role in the epithelial cells located at the margins of 2D cultures. However, their role in 3D collective cell behavior remains underexplored. Here, we investigate how induced vimentin expression affects 3D multicellular architecture and mechanics in luminal breast cancer cells (MCF-7) that ordinarily express keratin intermediate filaments only. We find that vimentin expression significantly alters 3D cell cluster morphology, inducing protrusions and increasing boundary fluctuations. Furthermore, cells in vimentin-expressing clusters show enhanced, more stochastic migration. In addition, these clusters exert stronger and localized traction forces on the surrounding matrix, indicating increased cell-matrix interactions. Transcriptomic analysis corroborates these biophysical findings, revealing upregulated gene expression for cell migration and matrix adhesion, and downregulated cell-cell adhesion genes. Our results demonstrate that VIFs are critical in modulating 3D multicellular collective morphology and dynamics, promoting invasive-like behavior by enhancing cell migration and cell-matrix interactions. These results provide fundamental insights into understanding tissue morphogenesis and disease progression.

biophysics↗

Neuronal HDAC9: A key regulator of cognitive and synaptic aging, rescuing Alzheimer's disease-related phenotypes

Epigenetic regulation is a key determinant of the aging process, and its dysregulation contributes to cognitive aging and increased vulnerability to Alzheimers disease (AD). As major regulators of epigenetic processes, histone deacetylases (HDACs) have emerged as potential therapeutic targets for cognitive enhancement in neurodegenerative diseases. However, the distinct roles of individual HDAC isoforms remain to be defined. Here, we report that HDAC9 is specifically expressed in neurons of human and mouse brains, and its expression declines with age. HDAC9 deficiency impairs cognitive function and synaptic plasticity in young mice. Selective deletion of HDAC9 in hippocampal CA1 neurons also induces cognitive impairment. In contrast, overexpression of HDAC9 in forebrain glutamatergic neurons preserves cognitive function in aged mice. Moreover, HDAC9 is also downregulated in the brain of AD mouse models, whereas neuronal overexpression of HDAC9 alleviates AD-related cognitive and synaptic deficits and reduces A{beta} deposition. Together, these findings suggest neuronal HDAC9 is necessary and sufficient for maintaining cognitive and synaptic functions in the context of aging and AD.

neuroscience↗

Predicting Organ-Specific Toxicity of Selective Androgen Receptor Modulators, using Transfer Learning on Graph Convolutional Networks

Novel Quantitative Structure-Activity Relationship (QSAR) models were constructed using Graph Convolutional Networks (GCNs), to predict Drug-Induced Liver Injury (DILI), Drug-Induced Renal Injury (DIRI) and Drug-Induced Cardiotoxicity (DICT) of Selective Androgen Receptor Modulators (SARMs) - an emerging class of performance-enhancing drugs. Prior to training on DILI, DIRI and DICT datasets, the GCN QSAR models were first pre-trained on a variety of unrelated biomedical assay datasets, as an attempt to improve model performance via transfer learning. The success of the transfer learning was mixed; model performances were measurably improved via pre-training on certain datasets, by statistically weak increases. The optimal final QSAR models achieved overall accuracy scores of 68% for DILI (no significant improvement via ensemble modelling), 76% for DIRI (improved to 77% via ensemble modelling) and 65% for DICT (improved to 67% via ensemble modelling). Application of the most optimal singular models to a dataset of 25 SARMs predicted that 21 of the 25 SARMs are either DILI-positive, DIRI-positive, or both - which raises concern, given the rising use of SARMs. All SARMs except for one were predicted as DICT-negative. A novel definition of the Applicability Domain (AD) was used, intended for close relevance to the models, via generating three-dimensional graph embeddings, for each model. Convex hulls were fitted around training data embeddings, with a {+/-}10% buffer, defining the AD as the region of embedded chemical space covered by the convex hull, for a given model. Subsequent analysis found that a majority of DILI, DIRI and DICT testing data lay within the AD, alongside a majority of the SARMs - adding consensus to the reliability of the predictions.

pharmacology and toxicology↗

Integrated Multi-omics Prioritizes Ribosomal-targeting Omacetaxine Mepesuccinate for Optic Neuritis Therapy

BackgroundOptic neuritis (ON), an acute demyelinating disorder often preceding multiple sclerosis, lacks therapies preventing neurodegeneration despite corticosteroid use. MethodsWe combined GWAS (FinnGen cohort, finn-b-H7_OPTNEURITIS), immune-specific eQTL analysis (CAGE.sparse microglia/astrocytes), and network pharmacology. SMR-HEIDI filtering (p_HEIDI>0.05; FDR<0.05) validated causal genes. Results46 ON-associated genes identified, with HLA-DRB1 as top risk locus (OR=3.297, FDR<0.01).Functional enrichment revealed antigen presentation dysregulation (GO:0002483, FDR=0.0025) and phagosome activation (hsa04145, FDR=0.0468), confirming microglial-astrocytic pathology.Omacetaxine mepesuccinate prioritized as sole repurposing candidate (FDR=0.0467) targeting ribosomal proteins RPL3/RPL2--mechanistically linked to glial protein synthesis suppression in demyelination. ConclusionsThis first multi-omics analysis of ON bridges HLA-mediated autoimmunity with repurposed ribosomal-targeted therapy, proposing omacetaxine for neuroprotection.

neuroscience↗

Remodeling of the immune-metabolic landscape triggered by long-term high-altitude exposure

Growing evidence indicates that immunological and metabolic outcomes are key mediators of long-term high-altitude exposure (LTHAE) adaption, but the underlying mechanisms remain poorly understood. This study employs plasma metabolomics and peripheral blood single-cell transcriptomic sequencing to analyze the metabolic and immune dynamic regulation in 46 young male lowlanders following a 90-day adaptation period at high altitude. Single-cell analysis shows a pattern of "innate immune activation and adaptive immune suppression" under LTHAE, characterized by facilitated maturation of neutrophils, enhanced cytotoxicity of CD56dim NK cells, and increased immune responsiveness of cDC2 and pDC, while inhibited maturation of plasmablasts and suppressed immune responsiveness of CD8{square}TEM and CD4+ T cells. Plasma metabolic analysis reveals significant alterations, involving enhanced steroid hormone synthesis, unsaturated fatty acid and amino acid metabolism under LTHAE, which in turn are associated with immune remodeling. Moreover, transcriptomic-metabolic integration analysis indicates the molecular mechanisms of enhanced aerobic oxidation efficiency under LTHAE. Collectively, these findings provide integrated insights into immune-metabolic landscape remodeling and suggest potential mutual regulatory relationship between immune and metabolic state following LTHAE, offering a molecular foundation for high-altitude adaptation research.

genomics↗

Decoding Lymphangioleiomyomatosis (LAM) Niche Environment via Integrative Analysis of Single Cell Multiomics and Spatial Transcriptomics

Lymphangioleiomyomatosis (LAM) is a rare, progressive lung disease characterized by cystic destruction and metastatic growth of smooth muscle-like cells. Despite advances in understanding its genetic basis, the cellular heterogeneity, regulatory mechanisms, and microenvironmental interactions driving LAM progression remain poorly defined. In this study, we employed an integrative multi-omics approach combining single-cell RNA sequencing (scRNA-seq), single-nucleus ATAC sequencing (snATAC-seq), and high-resolution spatial transcriptomics (Visium, Visium HD, and Xenium) to decode the LAM niche in its native environment. We identified two spatially and functionally distinct LAM subtypes: LAMCORE1 and LAMCORE2. LAMCORE1 cells exhibited a uterine smooth muscle-like phenotype, expressing associated markers (ACTA2, MYH11) and were enriched in MTORC1 signaling and myogenic pathways, supporting a uterine origin. In contrast, LAMCORE2 cells displayed fibroblast-like features, with upregulated extracellular matrix (ECM) remodeling genes (COL1A1, MMP11) and epithelial-to-mesenchymal transition (EMT) pathways, suggesting a role in niche formation. Pseudotime and regulon analyses revealed dynamic transitions between these subtypes, driven by distinct transcriptional networks (e.g., HOX/PBX in LAMCORE1, TWIST/ZEB in LAMCORE2). The presence of the two distinct LAM subtypes was further validated by RNAscope and immunofluorescence microscopy. We identified LAM-associated fibroblasts (LAFs) as activated stromal cells expressing canonical markers (FAP, S100A4, VIM, IGFBP7, SPARC) and localized within LAM lesions. Subpopulations of LAFs, LAF-seed (proximal to LAMCORE1) and LAF-niche (surrounding LAM niches), exhibited unique functional profiles, including ECM deposition, TGF-{beta} signaling, and myofibroblast activation. Regulatory network analysis pinpointed EGR1 as a central hub governing LAF phenotype. Our comprehensive spatial profiling revealed niche structures dominated by LAMCORE1 cells and surrounded by lymphatic endothelial cells (LECs), LAFs, scattered LAMCORE2 cells, macrophages, and reprogrammed alveolar epithelial cells (AT2). ECM remodeling and aberrant organization of cable-like structures (-smooth muscle actin+) of the LAM niches were further validated by second harmonic generation microscopy. These findings provide a high-resolution blueprint of LAM pathogenesis, highlighting the interplay between uterine-derived LAMCORE cells, activated fibroblasts, and the remodeled lung microenvironment. They significantly enhance our understanding of the LAM niche microenvironment and offer insights into potential therapeutic targets and strategies for managing this complex disease.

genomics↗

Preparation of Scutellariae Radix and Corn-Soy Peptides Complex and Its Hepatoprotective Mechanisms

Amidst the growing global burden of alcohol-associated liver disease (ALD) and the limited clinical interventions, this study innovatively developed a complex of Scutellariae Radix and corn-soy composite peptides (SR-CP). SR-CP exhibited significantly enhanced bioaccessible antioxidant capacity, demonstrating a 0.84-2.89-fold increase in DPPH, ABTS, {middle dot}OH, O2-{middle dot}, and FRAP value versus individual components post-gastrointestinal digestion. In ethanol-injured BRL-3A hepatocytes, SR-CP (60 g/mL) significantly ameliorated cellular viability by 38.28% (vs. ethanol model), normalized ALT/AST leakage by 19.92%/87.35%, restored SOD/GSH antioxidant reserves to 24.74 {+/-} 1.71 U/mg prot and 55.35 {+/-} 1.64 mol/g prot respectively, while suppressing lipid peroxidation through 65.93% reduction in MDA production (vs. ethanol model). Mechanistic profiling revealed dual regulatory effects: 1) Inhibiting CYP2E1/NADPH-OX ({downarrow} 51.97%/80.52%) to prevent excessive ROS production and activating the AMPK/SIRT1 axis ({uparrow} 30.70%/6.99%); 2) Potentiation of Nrf2 nuclear translocation ({uparrow} 0.48-fold) and HO-1 induction ({uparrow} 1.63-fold) through AMPK-mediated antioxidant signaling. The superior hepatoprotection of SR-CP over single constituents establishes a novel paradigm for functional food development, bridging traditional herbal wisdom with molecular-targeted ALD intervention via the AMPK/Nrf2/HO-1 axis.

pharmacology and toxicology↗

Genetic background influences the heterogeneous phenotypes driven by the MAFAS64F MODY variant in male mice

Pancreatic {beta}-cells require the coordinated expression of transcription factors such as MAFA to dynamically secrete insulin to maintain euglycemia. A naturally occurring mutation in MAFA (MAFAS64F) produces a long-lived variant protein which predisposes carriers to dichotomous conditions of either maturity (adult)-onset diabetes of the young (MODY) or hypoglycemia in a sex-dependent manner. Here we show that genetic background modulates disease penetrance in MafAS64F/+ male mice. Specifically, MafAS64F/+ males backcrossed to a C57/Bl6J ("C57") background prevented dysglycemia, while C57 MafAS64F/+ males bred one generation to an SJL/J background ("mixed") manifested overt diabetes, impaired insulin secretion, and accelerated {beta}-cell senescence. MafA protein levels, phosphorylation status, and target gene expression in C57 MafAS64F/+ male islets were more comparable to wildtype males. RNA sequencing of C57 MafAS64F/+ male islets revealed fewer differentially expressed genes than mixed background male islets, including transcriptional signatures of {beta}-cell senescence. In addition, retinoic acid signaling, another signature of cellular aging, was uniquely downregulated in C57 MafAS64F/+ male islets. Indeed, core retinoic acid signaling receptor RAR and known target genes were downregulated in C57 MafAS64F/+ male islets. CUT&RUN mapping revealed that MafA directly impacted retinoic acid receptor alpha Rara expression. In sum, these data show that genetic factors can impact unique pathways to modulate disease penetrance in mice modeling MAFA-MODY. Article HighlightsO_LIGenetic background in mice or ancestry in humans can profoundly influence diabetes susceptibility. C_LIO_LIWe asked whether diabetes penetrance in our robust mouse model of MAFA-MODY on a mixed genetic background was impacted when backcrossed to C57/Bl6J ("C57"). C_LIO_LIHere we show that C57 MafAS64F/+ males have wildtype glucose-sensing properties, compared to overt diabetes which could be reproducibly re-created on a mixed background. Further analysis disclosed more muted gene expression changes in C57 MafAS64F/+ male islets including unique downregulation of senescence and retinoic acid signaling. C_LIO_LIThese results illustrate the influence of genetic landscape on {beta}-cell function in response to a pathogenic MODY variant. C_LI

physiology↗

Applying telecentric stereo 3D-measurement to small Lepidopterans - bridging the macro and the microscale with isotropic micrometer resolution

We present a straightforward, application-driven telecentric stereo 3D-measurement system for high-precision measurements, designed for applications ranging from industrial quality control to biological research including scanning of Lepidoptera moths. Utilizing a dual-camera setup with telecentric lenses and structured illumination, our system achieves lateral resolution of 8.0 m and axial resolution of 4.46 m in a measurement volume of 11 mm x 11 mm x 6 mm. We address challenges typically encountered when using standard libraries like OpenCV, e.g. in extrinsic parameter estimation using a dedicated calibration method that corrects for a potential model mismatch due to telecentricity. Our approach adapts existing methods, such as telecentric stereo vision and structured illumination, into an optimized, user-friendly system tailored for life science research, enabling detailed 3D reconstructions of scattering objects, such as small moths, with isotropic micrometer accuracy. This work presents an application-driven approach for biological 3D metrology by integrating existing technologies (telecentric stereo vision, structured illumination) into a specialized imaging platform suitable for non-invasive morphological studies. Unlike conventional CT or microscopic approaches, our method provides a balance of precision, scalability, and practical usability for non-expert users with the aim to study developmental changes in species under varying environmental conditions, while also methodically bridging the gap between macroscopic and microscopic resolution in biological imaging.

biophysics↗

Isoform-Specific Roles of NTRK2 in Pulmonary Vascular Regeneration

Bronchopulmonary dysplasia (BPD) is a chronic lung disease in premature infants with no curative therapy, characterized by impaired alveologenesis and capillary formation. However, the molecular mechanisms underlying endothelial dysfunction, a key driver of BPD pathogenesis in human, remain poorly understood. Here, through multiomic profiling of vascular endothelial cells isolated from control and BPD patient lungs, we uncovered an expansion of general capillary endothelial cells (gCap) with aberrant expression of the neurotrophic receptor tyrosine kinase 2 (NTRK2) in BPD. Importantly, we identified a pathological NTRK2 isoform switch that dictates the regenerative capacity of gCap cells. Full-length NTRK2 (NTRK2-FL) promoted gCap regeneration in response to hyperoxic injury, whereas RBFOX2-mediated splicing of NTRK2-FL into a truncated isoform (NTRK2-T1) contributed to maladaptive responses and irreversible alveolar simplification in severe BPD cases. Restoring NTRK2-FL using lipid nanoparticle-delivered mRNA promoted angiogenesis and reversed alveolar simplification in vessel organoids and BPD-like mice. These findings identified NTRK2 isoform imbalance as a key driver of endothelial dysfunction and support isoform-specific RNA therapy as a promising strategy for vascular regeneration and repair. HIGHLIGHTS* Multiomic and spatial profiling reveal abnormal gCap subtype in human BPD lungs * NTRK2 isoform switch dictates endothelial regeneration in response to hyperoxic injury * RBFOX2 mediates splicing from NTRK2-FL to NTRK2-T1, driving irreversible alveolar damage * NTRK2-FL mRNA therapy restores vascular regeneration after injury

developmental biology↗