Biology subjects

Miller, C.

Publications and source records attributed to Miller, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Integration of In-Line Light-Mediated Cell Activation in Extrusion-Based Bioprinting: A New Biofabrication Strategy for Bone Tissue Engineering

Controlled activation of cells through photobiomodulation can influence osteogenic outcomes. However, factors such as skin penetration depth limit its clinical relevance. In this study, we present a workflow integrating broadband light stimulation directly into the bioprinting process by equipping a custom, low-cost extrusion bioprinter with a self-made, high-voltage spark-gap stimulation unit, enabling in-line stimulation of cells embedded in hydrogel. Optimal duration of broadband light exposure was screened with SaOS-2 cells in 2D for 5, 10, or 15 min, and cultured under osteogenic and control conditions. In 3D, SaOS-2 or adipose-derived stromal cells (ASCs) were bioprinted in an alginate-gelatin bioink under 10 minutes of pulsatile light stimulation. Cellular responses were assessed after 21 days by cell yield, viability, metabolic activity, apoptosis, DNA damage and osteogenic differentiation through immunofluorescence, histology and qPCR. Additionally, vascularisation capacity was assessed in light-stimulated HUVEC/ASC co-cultures within bioprinted constructs. In 2D, light stimulation did not negatively affect cell yield, viability, metabolic activity, cytotoxicity and DNA damage across all exposure times. 3D cultures showed a 2.7-fold and 2.4-fold increase in calcium and hydroxyapatite, respectively, elevated osteocalcin/collagen type I protein expression and gene expression of ALPL, BGLAP, SPP-1, COL1A1, COL10A1 and no increase in DNA damage after 21 days. In the HUVEC/ASC co-culture, light stimulation promoted endothelial elongation (1.25-fold), network formation (2-fold) and perivascular ASC organisation. This work establishes a proof-of-concept methodology for in-line, broadband light cell activation during bioprinting as a strategy to enhance osteogenic differentiation and vascularisation potential.

bioengineering↗

bioRxiv2026

Direct 3D isolation in gelatin methacryloyl microbeads versus conventional 2D isolation and culture: a trade-off between mesenchymal stromal cell purity and niche-associated transcriptional profiles

Bone-marrow mesenchymal stromal cell (MSC) isolation typically couples plastic-adherence selection to planar expansion. Therefore, the recovered cells may reflect culture adaptation as much as native stromal biology. Direct isolation within a three-dimensional matrix could reduce planar selection, but its effects on cellular recovery, composition and MSC transcriptional profiles remain insufficiently resolved. We therefore developed a gelatin methacryloyl (GelMA) workflow progressing from bulk hydrogels to medium-surrounded GelMA microbeads (GMBs) and compared 3D-derived cells with conventional 2D cultures. Qualitative live/dead staining with calcein acetoxymethyl ester (CAM) and propidium iodide (PI) and 5-ethynyl-2'-deoxyuridine (EdU) imaging established cellular activity in both GelMA formats. In bulk GelMA cultures from four human donors, CD73-, CD90- and CD105-associated flow-cytometric readouts did not increase from day 7 to day 21. At day 21, the combined marker readout was numerically higher in donor-matched 2D cultures than in bulk 3D cultures, which retained heterogeneous marker-defined populations. GMBs enabled cell recovery and flow-cytometric characterization and motivated an exploratory one-donor single-cell RNA sequencing (scRNA-seq) analysis. The final dataset contained 37,784 cells across four samples and 23 annotated populations. MSC-focused re-embedding resolved 13,175 cells into two 3D and four 2D clusters. A pooled comparison identified 4,840 differentially expressed genes (DEGs, false discovery rate [FDR]<0.01, |log2FC|[≥]1), indicating a broad method-associated expression shift. The 3D C1 cluster combined progenitor-, extracellular-matrix-, adhesion-, cytokine-, hypoxia/glycolysis- and predicted-interaction-associated programmes, whereas 2D clusters showed mitochondrial, cytoskeletal/mechanoadaptive and proliferative programmes. Thus, 2D culture yielded a more strongly represented and compositionally purer MSC compartment, while 3D isolation contained rare MSC clusters with niche-associated transcriptional profiles within a heterogeneous marrow environment. These findings support a testable native-associated tendency for 3D, but donor replication, matched recovery and direct native-reference mapping are required before inferring greater in-vivo similarity or functional superiority.

cell biology↗

bioRxiv2026

Single Cell Cytometry of Mouse Brain Tissue

Suspension mass cytometry can measure 50 or more markers per cell and is not impacted by cellular autofluorescence, making it an appealing platform for comprehensive phenotyping of single cells in tissue with high innate fluorescence, such as brain. However, this organ is challenging to reduce to a single cell suspension: it is a deeply interconnected tissue rich in extracellular material and contains a wide variety of cell types including neurons, their supporting glia, and hematopoietic cells from peripheral circulation, any or all of which may have competing requirements for survival through the dissociation process. This study compares approaches for producing single-cell preparations from white and gray matter enriched regions of adult mouse brain, testing simple mechanical dissociation, Accutase, and three gentle enzymes plus DNase: papain, collagenase II, and collagenase plus dispase, all with or without Percoll gradient centrifugation to separate intact cells from debris. Live cells were counted by hemocytometer and Trypan blue exclusion to assess yield and compare across enzyme conditions. Mass cytometry was used to assess cellular composition after representative dissociation, debris removal, and viable cryopreservation. Key proteins measured included beta III-tubulin for neurons, glial fibrillary acidic protein (GFAP) for astrocytes, oligodendrocyte transcription factor (OLIG2) for oligodendrocytes, CD31 for endothelial cells, CD24 for ependymal cells, purinergic receptor P2Y12 (P2RY12) for microglia, and CD45 for leukocytes. Mechanical disaggregation paired with enzymatic dissociation by papain, Collagenase/Disapse, or Collagenase II plus DNase produced approximately 400,000 live cells per 100 grams of tissue. Cell yield was not significantly different between conditions and yields were similar between white and grey matter. Addition of Percoll gradient centrifugation substantially reduced the number of viable cells recovered (average decrease of 88%) and resulted in viable cell numbers that were insufficient for robust analysis of less common cell subsets. In addition to neurons, mass cytometry identified six major populations of non-neuronal cells: oligodendrocytes, astrocytes, endothelial cells, ependymal cells, microglia, and leukocytes. The relative abundance of these six populations was generally unchanged by cryopreservation in both grey matter (r = 0.95), and white matter (r = 0.90), though loss of oligodendrocytes did occur in both tissues. Proliferation, as measured by Ki67 positivity, was non-existent; consistent with this, levels of phosphorylated STAT1 (p-STAT1) and p-STAT3 proteins were low in all cell populations and unchanged by cryopreservation. A modest increase in p-S6(S235/236) after cryopreservation was consistently observed only in microglia. Together, these results establish standardized procedures for generating viable single cell suspensions for cytometry that preserve the cellular diversity of the adult murine brain with minimal perturbation of intracellular signaling cascades.

neuroscience↗

bioRxiv2026

Comprehensive characterization of genomic, transcriptomic and epigenomic artifacts introduced in formalin-fixed, paraffin-embedded tissues.

Genomic, transcriptomic and epigenomic characterization has accelerated the discovery of clinically-relevant alterations in cancer, predominantly using fresh frozen (FF) specimens. However, clinical molecular pathology laboratories prefer formalin-fixed paraffin-embedded (FFPE) methods, known to introduce artifacts at the nucleic acid level, over fresh frozen methods. Extending the multi-platform analysis to FFPE specimens for comprehensive clinical molecular diagnosis requires a thorough understanding of the consequence of formalin-fixation. We present a detailed multi-platform characterization of FFPE preservation using paired FF specimens as the 'gold standard'. DNA and RNA were obtained from 38 patients across 6 cancer types using a FFPE optimized co-isolation. The impact of FFPE on exome sequencing was dependent on filtering, where a minimum coverage or supporting read filter can mitigate FFPE-specific false positives. Copy number alterations, MSI assessment, mutational signatures, and DNA methylation were comparable between FFPE and FF. FFPE biases in RNA expression can be overcome when using biology-relevant genes and we describe a novel consequence of FFPE on miRNA species diversity. Collectively, this data provides a broad view of FFPE artifact and offers best practices for overcome these biases.

bioinformatics↗

bioRxiv2026

Microtubule Acetylation Regulates the Malignant Phenotype of Glioblastoma and is a Promising Therapeutic Target

Glioblastoma (GBM) is universally lethal despite decades of research to find effective treatments. This highlights the need to identify druggable targets essential for sustaining the malignant phenotype but dispensable for normal tissue. We propose that the enzyme -tubulin acetyl transferase (ATAT1) meets these criteria. ATAT1 acetylates -tubulin at lysine 40, which increases microtubule stability and promotes microtubule-based transport. While ATAT1 knockout mice have only a very mild phenotype, ATAT1 suppression in GBM has multiple therapeutic effects by reducing tumor invasion, proliferation, and therapeutic resistance. These translate not only into improved survival with ATAT1 targeting by itself, but also into synergy when ATAT1 deletion is combined with FDA approved therapies. This study strongly supports our conclusion that ATAT1 is a promising therapeutic target in GBM.

Cancer Biology↗

bioRxiv2026

Phenotype-dependent subtyping exposes high MYC activity as a targetable dependency in LuAd

C-MYC (MYC) occupies a critical nexus of oncogenic signalling and deregulated expression of MYC is widespread across most human cancer types, suggesting that MYC should be an attractive target for therapeutic intervention. Although 30-40% of human Non-Small Cell lung cancers show low level amplification of c-MYC and genetic evidence has shown that c-Myc is a key downstream effector of KRas-driven lung tumourigenesis in mouse models, the functional contribution of MYC to human lung cancer remains unclear. We applied a phenotype-based classifier to the TCGA Lung Adenocarcinoma (LuAd) cohort and found that high MYC transcriptional activity identifies a subset of LuAd with significantly reduced survival. Application of the same methodology to a panel of genetically engineered mouse models identified multiple genotypes that give rise to the high MYC activity phenotype, disease positioning such models as reflective of a distinct subset of human LuAd. We show that high MYC activity predicts sensitivity to a small molecule dual-inhibitor of the MYC co-factors, EZH2 and G9A, HKMTi-1-005, and that treatment with HKMTi-1-005 strongly reduced MYC protein expression, induced B cell-mediated immune surveillance and suppressed growth of autochthonous KRasG12D-driven lung tumours. Statement of significanceThis work establishes the principle of indirectly targeting MYC in LuAd, via inhibition of associated enzymatic cofactors, EZH2 and G9A, and identifies a large subset of aggressive human LuAd with a high MYC activity signature that may benefit from this approach.

cancer biology↗

bioRxiv2026

The tobacco hornworm as a novel host for the study of bacterial virulence

The tobacco hornworm moth (Manduca sexta) is evaluated as a model of bacterial virulence and host-pathogen dynamics. Infections of Pseudomonas aeruginosa were established by injection of 5th-instar larvae, and multiple assays of virulence were evaluated. Infected larvae exhibited dose-dependent mortality, reduced growth, melanization, behavioral changes, and altered frass constitution. Even low-dose infections that were not fatal exhibited impaired growth, but individual growth trajectories revealed considerable heterogeneity among worms given the same dose. Twice-daily antibiotic treatment with gentamicin or cefepime improved survival four- to five-fold but did not rescue 100%. Heat-killed cells and filtered culture supernatant alone induced significant morbidity and mortality, suggesting secreted bacterial products are important to pathogenesis. Bacterial burden analysis revealed a shifting bacterial distribution over time, with decreasing hemolymph titers and increasing localization in fat body, gut, and carcass. Hornworms thus offer a more sensitive analysis of bacterial infection dynamics and consequences than do larvae of the more commonly used wax moth.

microbiology↗

bioRxiv2026

SPrOUT: A computational and targeted sequencing approach for mixed plant DNA identification with Angiosperms353

PremiseThe identification of plant species from mixed samples is crucial in various fields, including ecological surveys, conservation efforts, and food and dietary supplement safety. Traditional methods face potential challenges due to the high costs of DNA sequencing, inefficiencies in computational workflows, and incomplete sequence databases. Methods and ResultsThis study introduces a novel approach using the Angiosperms353 target sequencing kit for efficient taxonomic identification of angiosperm DNA in mixed samples. Our method assembles short pair-end reads for each mixed sample. Using gene sets of Angiosperms353 from 871 species, we apply phylogenetic inference to categorize the variance in phylogenetic distance across genes to identify the presence of taxa in mixed plant samples. The pipeline reaches 98.1 to 99.6% accuracy, 92.9 to 100% precision for identifying unknown taxa in in-silico mixes, and 90.7% accuracy and 98.0% precision for mock supplement mixtures. We explored the parameter cutoffs of the pipeline to offer an empirical range for different applications. ConclusionsThe Angiosperms353 and HybPiper assembly proved effective in sorting mixed plant DNA samples. Our method offers a framework for scientific and practical applications in plant species identification in both single and mixed samples.

bioinformatics↗

bioRxiv2026

Antiviral drug synergy and mutational signatures in different epithelial cell models of RSV and hPIV infection

Despite the huge global health burden presented by respiratory viruses, effective broad-spectrum antiviral therapeutic options remain limited. Here we evaluated the antiviral activity of four RNA-dependent RNA polymerase (RdRp) inhibitors, remdesivir, ribavirin, favipiravir, and molnupiravir, against respiratory syncytial virus (RSV) and human parainfluenza (hPIV) using monotherapy or dual-drug combinations with epithelial cell lines and primary human airway culture models. Remdesivir showed the greatest potency across both viruses, while ribavirin and favipiravir also demonstrated inhibition. Molnupiravir was active against RSVA but not hPIV3. Several dual-drug combinations, including remdesivir-favipiravir, remdesivir-molnupiravir and favipiravir-molnupiravir, produced marked synergy against RSVA, and more limited synergy for hPIV3. Antiviral efficacy was validated in primary airway epithelial cultures, where effective concentrations preserved epithelial integrity and attenuated viral disruption of ciliary function. Across both viruses, increasing antiviral exposure was associated with dose-dependent signature mutagenesis. Importantly, antivirals induced significantly higher RSVA mutation burden in the primary airway model. These findings highlight the therapeutic potential of RdRp inhibitor combinations for RSVA and hPIV3, provide mechanistic insight through antiviral-related mutational signatures and demonstrate advantages of the primary human airway culture model for development of effective multi-drug regimens and broad-spectrum antiviral preparedness. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/699296v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@1eb00dforg.highwire.dtl.DTLVardef@186358forg.highwire.dtl.DTLVardef@265181org.highwire.dtl.DTLVardef@1b10d0e_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2025

A chromosome-level genome assembly of a vernal pool specialist amphibian, the Western Spadefoot, Spea hammondii

We assembled and annotated a chromosome-level reference genome for the Western Spadefoot, Spea hammondii (Anura, Scaphiopodidae) representing one of only three amphibians included in the California Conservation Genomics Project (CCGP). Spea hammondii is a vernal pool breeding anuran native to California and northwestern Baja California which has undergone both range contractions and local extirpations across its distribution, primarily due to habitat loss and degradation and drought. The species is recognized by the state of California as a Species of Special Concern and is proposed for listing under the United States Endangered Species Act. Using the established CCGP pipeline, this S. hammondii genome was produced using Pacific Biosciences HiFi long-reads and Omni-C proximity ligation, resulting in a de novo genome assembly 1.14 Gb in length, distributed across 479 scaffolds (scaffold N50 = 120.8 Mb; largest scaffold = 183.6 Mb) with a BUSCO completeness score of 90.9% using a conserved tetrapod ortholog set. Our assembly shows high base accuracy (QV = 63.7) and low frameshift error in coding regions (QV 50.42). Annotation of this genome yielded 20,434 genes with a BUSCO completeness score of 94.7%. This reference genome, in combination with range-wide resequencing data from CCGP, will facilitate statewide population genomic assessments to delineate conservation units, quantify inbreeding and genomic load, and test for adaptive variation associated with vernal pool hydrology and drought tolerance, all of which are important considerations in the proposed federal listing.

genomics↗

bioRxiv2025

Primate ACC encodes natural vocal interactions in a cocktail party

The Cocktail Party Problem (CPP)--extracting meaningful signals amid competing voices--remains poorly understood at the neural level, particularly in real-world contexts where it emerges naturally. We investigated the role of the anterior cingulate cortex (ACC), a structure implicated in social monitoring but rarely examined in relation to audition, to resolve the CPP in freely-moving marmoset monkeys engaged in ecological vocal exchanges. Analyses revealed that ACC is seemingly integral to resolving the CPP. Not only did neurons encode the calls of either the conversational partner or background callers, but this selectivity persisted even with overlapping background sounds, a hallmark of the CPP. Moreover, ACC activity reflected the conversational dynamics by encoding turn-taking structure, highlighting the importance of CPP resolution for navigating social interactions in complex natural soundscapes.

neuroscience↗

bioRxiv2025

Ecological Factors Affecting Prosociality in Marmoset Monkeys

Prosocial behaviors, such as cooperation and food sharing, are critical for maintaining group cohesion in social species, yet the influence of transient physiological states on these behaviors remains poorly understood. This study investigates how short-term ecological factors impact social behavior in common marmosets (Callithrix jacchus), a highly prosocial nonhuman primate species. Specifically, we tested how food divisibility (small vs. large food items) and time since food access (TSFA; 0 hours, 1 hour, and 3 hours) influenced food sharing behavior. Results revealed that larger food portions consistently promoted prosocial interactions, while longer durations since food access shifted behavior toward individualism. A significant interaction between TSFA and food size indicates that the effect of food size on prosocial behavior varies with hunger state: increasing TSFA weakens the prosocial impact of large food portions. These findings suggest that marmoset prosociality is sensitive to immediate ecological conditions, reflecting flexible, context-dependent social decision-making.

animal behavior and cognition↗

bioRxiv2025

Runx1 and Runx2 act in concert to suppress Wnt/β-catenin-driven mammary tumourigenesis

The genes encoding transcription factor RUNX1 and its binding partner CBFB have been reported to be mutated in human breast cancer. Here, we provide evidence that Runx1 loss of function results in accelerated disease onset and tumour development in mouse models of breast cancer, in keeping with a tumour suppressor role for RUNX1 in this disease setting. Combined deletion of Runx1 and the related family member Runx2 resulted in mammary epithelial cells becoming exquisitely sensitive to WNT-driven transformation, with the emergence of multiple tumours early in life. Clonogenic assays indicated that Runx1 ablation induced a stem cell like phenotype in mammary epithelial cells, whilst transcriptome analysis demonstrated activation of multiple oncogenic pathways, especially when Runx2 was co- deleted. Interestingly, altered Runx expression in the mammary epithelium also drove profound alterations in the tumour microenvironment, impacting the immune landscape. These results highlight that Runx1 restricts some forms of breast cancer and inhibits the full oncogenic potential of aberrant WNT signalling. Loss of Runx2 itself did not result in tumour promotion, yet the dramatic effects of combined Runx1 and Runx2 loss suggest that Runx2 can substitute for Runx1 in dampening the oncogenic effects of WNT signalling.

cancer biology↗

bioRxiv2025

Mathematical modelling of the immune response during endometriosis lesion onset

The immune system is hypothesised to contribute to the onset of endometriosis lesions. However, the precise mechanisms underlying its role are not yet known. We introduce a novel compartmental model that describes the interactions between innate immune cells, specifically macrophages and natural killer cells, and endometrial cells, occurring within the peritoneal fluid during the early stages of (superficial peritoneal) endometriosis lesion onset. Our study focuses on retrograde influx, immune detection, and immune clearance. Results show an increased influx of endometrial cells into peritoneal fluid correlates with heightened pro-inflammatory macrophage activation, but does not lead to an increase in disease. We compare the systems response to changes in immune cytotoxicity and ability to detect ectopic endometrial cells. We predict that reduced cytotoxicity is a key driver of disease. These findings align with the increased immune activation observed clinically. Lastly, we predict that an individual can transition to a diseased state following a reduction in immune system cytotoxicity and/or reduced ability to detect ectopic cells. Due to hysteresis, a significant improvement is then required to restore an individual to the disease-free state. This work provides a valuable framework to explore hypotheses of endometriosis lesion onset and assist in understanding of the disease.

systems biology↗

bioRxiv2025

ADAR1 haploinsufficiency and sustained viral RdRp dsRNA synthesis synergize to dysregulate RNA editing and cause multi-system interferonopathy

Sensing of viral double-stranded RNA by MDA5 triggers abundant but transient interferon-stimulated gene (ISGs) expression. If dsRNA synthesis is made persistent by transgenically expressing a picornaviral RNA-dependent RNA polymerase (RdRp) in mice, lifelong MDA5-MAVS pathway activation and marked, global ISG upregulation result. This confers robust protection from viral diseases but in contrast to numerous other chronic MDA5 hyperactivation states, the mice suffer no autoimmune or other health consequences. Here we find they further confound expectations by being resistant to a strong autoimmunity (lupus) provocation. However, knockout of one allele of Adar breaks the autoinflammation-protected state of RdRptg mice and results in a severe disease that resembles interferonopathies caused by MDA5 gain-of-function protein mutations. Adar+/- mice are healthy but Adar+/- RdRptg mice have shortened lifespan, stunted growth, premature fur graying, poorly developed teeth, skeletal abnormalities, and extreme ISG elevations. A-to-I edits are both abnormally distributed and increased (numbers of genes and sites). These results, with a nucleic acid-triggered and MDA5-wild type model, illuminate the ADAR1-MDA5 axis in the regulation of innate immunity and establish that viral polymerase-sourced dsRNA can drive autoinflammatory disease pathogenesis. IMPORTANCERNA virus double-stranded RNAs are important pathogen associated molecular patterns that are sensed by the RIG-I like receptor MDA5, which triggers an acute innate immune response involving many ISGs. One key to a healthy innate immune system is that MDA5 not sense endogenous dsRNA. This is normally ensured by dsRNA duplex-disrupting ADAR1 editing of host dsRNAs. Picornavirus RdRptg mice have an unusual constitutive MDA5 activation state, with very high lifelong MDA5-mediated ISG expression that confers robust protection from diverse lethal viruses. Importantly, and in contrast to numerous other chronic MDA5 hyperactivation states, the mice develop no autoinflammatory consequences. If we delete one ADAR1 allele, however, which by itself is well tolerated, the mice develop a multisystem disease that resembles the human interferonopathy Singleton-Merten syndrome. In contrast to other MDA5/ADAR1 disease models, the MDA5 and ADAR1 proteins are both wild type in this dsRNA-driven model.

immunology↗

bioRxiv2024

Deep Kernel Inversion: Rapid and Accurate Molecular Interaction Prediction for Drug Design

Computational drug design offers the opportunity to dramatically accelerate novel therapeutics for untreated diseases. Designing compounds with optimal efficacy and specificity, however, requires understanding and optimizing immense numbers of molecular interactions. While advances in predicting one-to-one molecular interactions continue, there has been limited progress in scaling one-to-many or many-to-many molecular interaction models. In this paper, we introduce a deep learning framework that embeds molecules into a high-dimensional vector space, which we have named Deep Kernel Inversion. In this framework, the dot product between vectors accurately predicts molecular interactions. This approach reduces the complexity of predicting an entire molecular interaction network from O(n2) to O(n), enabling new molecular design tasks previously inaccessible to computational approaches. In the case of human protein-protein interactions (PPI), we demonstrate a 100,000 fold decrease in the computation required to map the full human PPI network. We also demonstrate best-in-class performance across multiple molecular interaction tasks with this approach. This work offers a new way forward in scaling accurate molecular interaction predictions with applications in mapping biological pathways, target discovery, drug design, and therapeutic development.

systems biology↗

bioRxiv2024

PLM-interact: extending protein language models to predict protein-protein interactions

Computational prediction of protein structure from amino acid sequences alone has been achieved with unprecedented accuracy, yet the prediction of protein-protein interactions (PPIs) remains an outstanding challenge. Here we assess the ability of protein language models (PLMs), routinely applied to protein folding, to be retrained for PPI prediction. Existing PPI prediction models that exploit PLMs use a pre-trained PLM feature set, ignoring that the proteins are physically interacting. Our novel method, PLM-interact, goes beyond a single protein, jointly encoding protein pairs to learn their relationships, analogous to the next-sentence prediction task from natural language processing. This approach provides a significant improvement in performance: Trained on human-human PPIs, PLM-interact predicts mouse, fly, worm, E. coli and yeast PPIs, with 16-28% improvements in AUPR compared with state-of-the-art PPI models. Additionally, it can detect changes that disrupt or cause PPIs and be applied to virus-host PPI prediction. Our work demonstrates that large language models can be extended to learn the intricate relationships among biomolecules from their sequences alone.

bioinformatics↗

bioRxiv2024

Mitochondrial Stress Disassembles Nuclear Architecture through Proteolytic Activation of PKCδ and Lamin B1 Phosphorylation in Neuronal Cells: Implications for Pathogenesis of Age-related Neurodegenerative Diseases

Mitochondrial dysfunction and oxidative stress are hallmarks of pathophysiological processes in age-related neurodegenerative diseases including Parkinsons, Alzheimers and Huntingtons diseases. Neuronal cells are highly vulnerable to mitochondrial stress, however, the cellular and molecular mechanisms underlying the enhanced vulnerability are not well understood. Previously, we demonstrated that the novel PKC isoform PKC{delta} is highly expressed in dopamin(DA)ergic neurons and plays a key role in inducing apoptotic cell death during neurotoxic stress via caspase-3-mediated proteolytic activation. Herein, we further uncovered a key downstream molecular event of PKC{delta} signaling following mitochondrial dysfunction that governs neuronal cell death by dissembling nuclear architecture. Exposing N27 DAergic cell line to the mitochondrial complex-1 inhibitor tebufenpyrad induced PKC{delta} phosphorylation at the T505 activation loop accompanied by caspase-3-dependent proteolytic activation of the kinase. Subcellular analysis using high-resolution 3D confocal microscopy revealed that proteolytically activated cleaved PKC{delta} translocates to the nuclear compartment, colocalizing with Lamin B1. Electron microscopy also enabled the visualization of nuclear membrane damage triggered by subjecting the DAergic neuronal cells by Tebufenpyrad (Tebu) toxicity. In silico analyses identified that the threonine site on Lamin B1 (T575) is likely phosphorylated by PKC{delta}, suggesting that Lamin B1 serves as a key downstream target of the kinase. Interestingly, N27 DAergic cells stably expressing the PKC{delta} proteolytic cleavage site-resistant mutant failed to induce nuclear damage, PKC{delta} activation, and Lamin B1 phosphorylation. Furthermore, CRISPR/Cas9-based stable knockdown of PKC{delta} greatly attenuated Tebu-induced Lamin B1 phosphorylation. Also, studies using Lamin B1T575G mutated at phosphorylation and PKC{delta}-{Delta}NLS-overexpressing N27 cells showed that PKC{delta} activation and translocation to the nuclear membrane are critically required for phosphorylating Lamin B1 at T575 to induce nuclear membrane damage during Tebu insult. Additionally, Tebu failed to induce Lamin B1 damage and Lamin B1 phosphorylation in organotypic midbrain slices cultured from PKC{delta}-/- mouse pups. More importantly, we observed higher PKC{delta} activation, Lamin B1 phosphorylation and Lamin B1 loss in nigral DAergic neurons from the postmortem brains of PD patients as compared to age-matched healthy control brains, thus providing translational relevance of our finding. Collectively, our data reveal that PKC{delta} functions as a Lamin B1 kinase to disassemble the nuclear membrane during the neuronal cell death process triggered by mitochondrial stress. This mechanistic insight may have important implications for the etiology of age-related neurodegenerative diseases resulting from mitochondrial dysfunction as well as for the development of novel treatment strategies.

neuroscience↗