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bioRxiv2026

Shifts in the population-genetic landscape of the ciliate genus Paramecium

Ciliates are one of the most ecologically diverse and morphologically intricate unicellular organisms. Despite their evolutionary significance and their prominence in cell-biological research, the population-genetic processes governing their diversification have received remarkably little attention. A fundamental unresolved problem is the existence of geographic isolation among free-living protists and its consequences for species richness. We addressed this issue in the model ciliate Paramecium by sequencing genomes of hundreds of isolates collected worldwide, capturing multiple morphological and cryptic species, with multiple populations each. Contrary to previous reports, we found evidence of geographic differentiation in the majority of species. In a few cases, geographic structure became evident when deeply diverging clades in a species were treated separately. This suggests that the biogeographical patterns of Paramecium have been shaped by periods of genetic isolation leading to speciation, with rare events of global dispersal realized over its long evolutionary history. Despite being largely isolated, populations were remarkably similar in their effective population size, recombination rate, and efficacy of natural selection. Across species, selection appears to be least effective in Paramecium aurelia lineages, and most effective in P. bursaria, presumably due to differences in their breeding characteristics. Despite differences among species in the population-genetic environment, patterns of variation across the genome remained consistent. Selective constraints on a core set of genes seemed to have gradually diverged across the species phylogeny. Genes with multiple copies retained from whole-genome duplication events in P. aurelia were found to be under relatively relaxed purifying selection. Moving forward, this dataset will serve to test hypotheses on the ecological and cellular complexity of Paramecium and beyond.

evolutionary biology↗

bioRxiv2026

Establishing the fluorescence-activating and absorption-shifting tag as a fluorescent reporter protein in Methanothermobacter thermautotrophicus ΔH

The thermophilic methanogen Methanothermobacter thermautotrophicus {Delta}H is a model microbe for hydrogenotrophic methanogenesis and an emerging platform host for metabolic engineering. Despite recent advances in its genetic accessibility, the available molecular toolbox lacks fluorescent reporter proteins that are suitable for anaerobic and thermophilic conditions. Here, we established the fluorescence-activating and absorption-shifting tag (FAST) as a reporter protein in M. thermautotrophicus. We expressed codon-optimized variants of FAST by applying established genetic tools, and evaluated the performance for two temperatures and three fluorogens. We demonstrated that FAST is functional in M. thermautotrophicus but exhibits temperature-dependent instability, which is more pronounced at 60{degrees}C compared to 50{degrees}C. Among the tested fluorogens, TFLime and TFAmber yielded comparable fluorescence intensities, while TFCoral resulted in significantly lower fluorescence intensity. Exploiting the partial thermolability of FAST, we characterized the dynamic expression profiles of several promoters, which revealed growth phase-dependent regulation patterns. Our findings challenge previous assumptions of constitutive expression for several promoters. Notably, we identified distinct expression patterns for promoters that are associated with methanogenesis and energy-converting hydrogenases. Our results establish FAST as a versatile fluorescent reporter for thermophilic methanogens and provide new insights into promoter regulation in M. thermautotrophicus. This work expands the genetic toolbox for this microbe and lays the foundation for advanced studies in archaeal cell biology and biotechnology.

microbiology↗

bioRxiv2026

Cost-Effective Purification of Endotoxin-Free LIF, IL-2, and IL-33

We describe a cost-effective Escherichia coli (E. coli)-based platform for producing endotoxin-free cytokines. As a proof of concept, we applied this protocol to purify four representative human and mouse cytokines - mouse leukemia inhibitory factor (mLIF), human interleukin-2 (hIL-2), and human and mouse interleukin-33 (hIL-33 and mIL-33) - and demonstrated their bioactivity to be equivalent to commercial counterparts for direct use in stem cell culture and immune cell activation, both in vitro and in vivo. Reagent costs for producing these proteins are approximately 5%-10% of commercial list prices. This platform is readily adaptable to other costly cytokines and growth factors, providing a scalable and affordable approach to accelerate research in cell biology, tissue engineering, and biomanufacturing.

bioengineering↗

bioRxiv2026

A bifunctional coiled-coil protein generates the membrane-within-condensate architecture of the CO2-fixing pyrenoid

How membranes are integrated into biomolecular condensates is a fundamental question in cell biology. In the algal pyrenoid, an organelle responsible for one-third of global carbon fixation, CO2-delivering thylakoid membranes must penetrate a phase-separated condensate of the CO2-fixing enzyme Rubisco, but the mechanism governing membrane recruitment into the condensate remains unknown. Here, we demonstrate that the Chlamydomonas reinhardtii protein MITH1 acts as a molecular anchor that brings membrane into the pyrenoid condensate. MITH1 dimerizes into an extended coiled coil with an N-terminal amphipathic helix that binds thylakoid membrane. The coiled coil contains multiple novel binding sites for the Rubisco large subunit, allowing the condensate to wet onto the membrane. The coiled coil extends away from the membrane and promotes membrane organization within the condensate. These findings solve a longstanding mechanistic question in pyrenoid biogenesis and reveal general principles for how membranes are integrated into biological condensates.

molecular biology↗

bioRxiv2026

Azacytidine restores T cell function in AML by modulating DNA methylation

AML is an aggressive blood cancer associated with poor clinical outcomes. Chemotherapy remains the standard of treatment, but unfortunately relapse is very common, highlighting the need for alternative therapies. T cell dysfunction and exhaustion are prominent in AML and may represent a barrier to effective immunotherapy yet remains poorly studied in AML. DNA methylation is a major driver of T cell exhaustion and inhibition of de novo methylation can block exhaustion and restore T cell function in chronic viral infections and other cancers but is understudied in AML. Here, we investigated the impact of azacytidine (Aza), an FDA-approved hypomethylating agent, on T cell exhaustion in AML. Using a spontaneous AML mouse model and samples from patients with AML, we found that Aza treatment modulates T cell function. In vivo Aza-treatment of AML-bearing mice decreased tumor burden and reshaped CD8+ T cell states, with increases in frequencies of memory subsets and decreases in regulatory T cells (Tregs). Functionally, Aza treatment overcame the impaired proliferation displayed by both CD4 and CD8+ T cells in our model. DNA methylation sequencing of T cells after Aza treatment revealed hypomethylation and increased expression of stem-like precursor gene TCF7 and E2F2, a regulator of cell cycle progression and proliferation. Similar changes in phenotypes were observed in cultures of AML patient samples treated with Aza. Collectively, we show that Aza remodels epigenetic and functional states in AML and has the potential to reverse T cell exhaustion, with enhanced memory and proliferation capacity. Our work generates a mechanistic framework that provides rationale of combining hypomethylating agents with T cell-based immunotherapies in this lethal disease. Data Sharing StatementRRBS data is available in GEO under the accession number GSE328721. For original data please contact Dr. Evan F. Lind. Key PointsAzacytidine mediated epigenetic modulation can alleviate T cell exhaustion in AML Translational RelevanceImmune therapy has shown limited efficacy in AML, despite increasing evidence of T cell dysfunction in this malignancy. Azacytidine (Aza) is an FDA approved drug for AML, but patients develop therapy resistance and relapse. Studies have mainly focused on Azas tumor intrinsic effects. In this study, we investigated the impact of Aza on immune function, especially T cell exhaustion in AML, since exhaustion is a major mechanism of disease resistance. We demonstrated that Aza can modulate T cell phenotype and restore T cell proliferation. Mechanistically, Aza induces epigenetic reprogramming in T cells and increases the expression of a stem-like precursor marker, TCF7. By shifting the focus on T cell biology, our study provides a rationale for combining Aza with other immunotherapies that can enhance durable immune responses in this malignancy.

immunology↗

bioRxiv2026

Cytopenias and Functional Defects in a Novel Murine Model of VPS45 Severe Congenital Neutropenia

Mutations in the VPS45 gene are associated with a rare form of severe congenital neutropenia (SCN5), a life-threatening inherited error of immunity. We developed and characterized a novel mouse model of SCN5 by CRISPR/Cas9-mediated knock-in of pathogenic VPS45 E238K and T224N mutations. Both Vps45 mutations led to decreased protein expression in bone marrow cells. In vivo phenotyping demonstrated a non-Mendelian genetic distribution with reduced numbers of knock-in homozygotes Vps45E238K. Vps45E238K knock-in homozygous mice showed reduced body weight, reduced body condition with age, and increased mortality. As in human SCN5, Vps45E238K knock-in homozygotes demonstrated neutropenia and lymphopenia. Functionally, Vps45E238K knock-in homozygote neutrophils exhibited increased lipopolysaccharide-induced apoptosis and decreased peroxide production, phagocytic capacity and in vivo cell migration, phenocopying the functional defects reported in patients. Vps45T224N knock-in homozygous mice showed a milder phenotype or no abnormalities. In conclusion, this mouse model phenocopies, in part, human SCN5. It provides a novel platform for future studies of the pathophysiology of defects in neutrophil number and function in human SCN5, potential therapies for the disease, and the biochemistry and cell biology of VPS45. Summary statementWe report a mouse model of severe congenital neutropenia due to VPS45 missense mutations. It represents the first animal model of human neutropenia due to a defect in intracellular trafficking.

immunology↗

bioRxiv2026

Development of a tryptophan-based dual selection system reveals the spatial organization of S-layer assembly during cytokinesis in Sulfolobus acidocaldarius

Sulfolobus acidocaldarius is a thermoacidophilic archaeon used as a model system for studying fundamental cellular processes and for emerging biotechnological applications. However, the limited availability of selectable markers restricts advanced genetic manipulation in this organism. Here, we report the development of a tryptophan auxotrophy-based selection system in S. acidocaldarius. A {Delta}trpBA mutant was constructed in the {Delta}pyrE background strain using a classical pop-in/pop-out recombination strategy. The resulting mutant exhibited little growth defects in rich medium, likely due to exogenous tryptophan supplied by complex nutrients, but failed to grow in a newly developed defined Brock-based amino acid dropout medium lacking tryptophan. Exploiting both uracil and tryptophan auxotrophies, we achieved dual-plasmid co-transformation and co-expression of the surface layer proteins and a dominant-negative mutant of the AAA-ATPase Vps4, revealing that the accumulation of surface layer lattice forming protein SlaA at the midzone of division-arrested cells together with its membrane anchor SlaB. Together, these results provide evidence for spatial regulation of S-layer assembly during archaeal cytokinesis while expanding the genetic toolkit available for S. acidocaldarius. ImportanceSulfolobus acidocaldarius is a key archaeal model organism for studying cellular processes shared with more complex life and is increasingly used for biotechnological applications. Here, we establish tryptophan auxotrophy as a new selectable marker in S. acidocaldarius, expanding the range of genetic selection systems available in this organism. By developing a defined Brock-based dropout medium, we enable stringent amino acid auxotrophy selection and precise control over nutrient composition. This system can be combined with existing uracil-based selection to support dual auxotrophy workflows, enabling co-transformation, simultaneous expression of multiple proteins, and more sophisticated genetic manipulation strategies. Using both markers, we show that S-layer proteins are localised to the division bridge in cytokinesis-arrested cells. This exemplifies ways in which the expanding molecular genetic tool kit available for Sulfolobus acidocaldarius is furthering our understanding of archaeal cell biology.

Molecular Biology↗

bioRxiv2026

msaGUI: Multispectral Analysis Graphical User Interface for Ratiometric Analysis and Background Correction

Chemical imaging is a powerful branch of modern microscopy encumbered by a lack of flexible, high-throughput analysis tools. Bespoke analytical pipelines typically perform ratiometric analysis on two layers in a multispectral image to describe the relative composition of molecules in a sample. This strategy has been implemented across fields, spanning histopathology, cell biology, environmental science, and materials science. The commercialization of chemical imaging microscopes has facilitated the collection of large multispectral datasets, necessitating accessible ways to process them. This paper describes Multispectral Analysis Graphical User Interface (msaGUI), a desktop graphical user interface to analyze individual and batch datasets of multispectral images. Data is loaded as CSV, TSV, or TIFFs and processed through a user-defined sequence of modular image operations that can be flexibly combined, e.g. to reduce spectral crosstalk or background noise. After analysis, data is visualized as exportable images, histograms, and statistics. To yield publication-quality figures, outputted images are fully customizable. Written in Python with open-source libraries, the msaGUI program is packaged into an executable for Windows and Mac for a fully no-code application. Other operating systems are supported via the Python source code. In summary, msaGUI provides a rapid and user-friendly solution for analyzing and visualizing multispectral data.

biophysics↗

bioRxiv2026

Glutaredoxins rapidly reduce glutathione hydroper- and polysulfides

Hydropersulfides have gained attention in cell biology as excellent nucleophiles and membrane-protective radical scavengers. They form perthiyl radicals, which terminate radical chain reactions through self-recombination, leading to the formation of polysulfides. It is currently unknown how polysulfides are subsequently reduced again in non-enzymatic or enzymatic metabolic pathways. Here we used stopped-flow kinetic measurements in combination with mass spectrometry to show that the model class I glutaredoxin from the malaria parasite Plasmodium falciparum (PfGrx) rapidly reduces the polysulfides glutathione trisulfide (GS3G) and glutathione tetrasulfide (GS4G), yielding the glutathionylated enzyme and the corresponding glutathione hydropersulfide GSSH and hydrotrisulfide GS3H. The second-order rate constants of these enzymatic reductions [≥]107 M-1s-1 are even slightly higher than for glutathione disulfide (GSSG). In contrast, PfGrx was inactive or only moderately active using cystine or cysteine trisulfide as oxi-dants. GSSH and GS3H are further reduced by PfGrx with second-order rate constants on the order of 106-107 M-1s-1, yielding the glutathionylated enzyme as well as hydrogen sulfide (H2S) and hydrogen disulfide (H2S2), respectively. Thus, glutaredoxins specifically recognize the glutathione moiety of glutathione (hydro)polysulfides and glutathione hydropersulfide. Due to the rapid reduction of glutathionylated glutaredoxins by reduced glutathione (GSH), glutathione (hydro)per/polysulfides are efficiently converted to GSSG and H2S or the corresponding hydrogen polysulfides. As a consequence, the steady-state concentration of glutathione (hydro)per/polysulfides should be tightly controlled in subcellular compartments containing active glutaredoxins and high GSH concentrations.

biochemistry↗

bioRxiv2026

A Comparative Study of MBTI and Learning Style- Based Grouping for Enhancing Group Effectiveness and Balance in a Pedagogical Setting

Effective group work is central to Problem-Based Learning (PBL) in higher education, yet the optimal strategy for forming student groups remains unclear. This study compared MBTI-based grouping, informed by personality types and Keirsey temperaments, with Learning Style-Based (LSB) grouping, grounded in Kolbs Experiential Learning Theory, to assess their impact on group functioning and role performance. Participants were undergraduate students enrolled in Cell Biology (Fall 2022 and Fall 2023) and Introduction to Biology Laboratory (Fall 2023) courses. Students completed MBTI and Kolb Learning Style assessments, and groups and roles (Leader, Communicator, Organizer) were assigned accordingly. Results indicated that LSB-based groups consistently outperformed MBTI-based groups across multiple performance metrics, including productivity, listening, sense of safety, belonging, and overall satisfaction. All metrics showed statistically significant decreases in MBTI-based groups except contribution, which did not differ significantly between grouping strategies. Role performance ratings were significantly higher for Leaders and Communicators in LSB groups, while no significant differences were observed for the Organizer role. Correlation analyses revealed that satisfaction was strongly associated with perceived productivity in MBTI-based groups, whereas in LSB-based groups, satisfaction was more strongly correlated with psychological safety. These findings suggest that learning style alignment may better support effective collaboration and group climate in PBL settings than personality-based grouping.

scientific communication and education↗

bioRxiv2026

DPCGS: a computational framework for linking GWAS to single-cell transcriptomics in complex traits and diseases

Complex traits and diseases arise from the interplay between genetic variation and cellular heterogeneity, making it essential to understand how genetic risk manifests at the cellular level. However, connecting genome-wide association studies (GWAS) to specific cell populations remains challenging due to cellular complexity and the prevalence of noncoding variants. Here, we present DPCGS, a computational framework that systematically integrates GWAS summary statistics with single-cell RNA-sequencing (scRNA-seq) data to identify trait-associated cell subpopulations, genes, and regulatory programs. Unlike existing approaches that primarily evaluate pathway enrichment or cell-type-level associations, DPCGS quantifies the enrichment of genetically prioritized genes within individual cells through a statistically calibrated gene-set scoring strategy, enabling high-resolution mapping of genetic risk to cellular states. Benchmarking across simulated and diverse human single-cell datasets demonstrates that DPCGS achieves superior accuracy, sensitivity, and robustness compared with existing methods, including scDRS and scPagwas. Applying DPCGS to Alzheimers disease and asthma reveals disease-associated cellular populations and uncovers potential molecular drivers, including CD74, FOS, and AP-1 family regulatory programs, providing insights into disease-specific immune and cellular mechanisms. By bridging genetic discoveries from GWAS with functional interpretation at single-cell resolution, DPCGS establishes a generalizable framework for dissecting the cellular architecture of complex traits and diseases. This approach enables systematic discovery of disease-relevant cell subpopulations, regulatory networks, and potential therapeutic targets, offering broad applications in human genetics, single-cell biology, and precision medicine.

bioinformatics↗

bioRxiv2026

Lipid Headgroup Hydration Regulates Distinct Remodeling of the Membrane Interface by Polyethylene Glycol and Dextran

Water-soluble polymers commonly interact with cell membranes, but their interactions are poorly understood. Here, we investigate polyethylene glycol (PEG) and dextran (DEX) interactions with different model lipid membranes. Using total internal reflection fluorescence microscopy, we observe that PEG and DEX trigger strikingly different membrane responses - DEX induces extensive membrane remodeling, including localized multilamellar domain formation, while PEG does not. Combining fluorescence spectroscopy, fluorescence anisotropy, and vibrational sum frequency spectroscopy, we show that DEX perturbs lipid headgroup hydration by displacing interfacial water with minimal effects on lipid packing, while PEG largely preserves this hydration layer. We find that membrane binding affinity alone does not determine the extent to which hydrophilic polymers perturb membrane structure and interfacial properties; and that lipid headgroup hydration, rather than lipid charge, is a general regulator of hydrophilic polymer-membrane interactions. This work gives mechanistic insights into how neutral polymers interact with cells and vesicles, with relevance to cell biology and drug delivery. O_FIG O_LINKSMALLFIG WIDTH=169 HEIGHT=200 SRC="FIGDIR/small/739366v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@16f7374org.highwire.dtl.DTLVardef@4e94forg.highwire.dtl.DTLVardef@7175dcorg.highwire.dtl.DTLVardef@f0e5b9_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2026

Coevolution of Codependent Hosts and Symbionts

Many endosymbioses in eukaryotes superficially appear to be beneficial to both participants. However, there is little direct evidence for this, and symbioses naturally set up conditions in which each member of the pair is under selection to extract resources from the other. Ultimately, the endosymbiont either evolves to be in conflict with the interests of the host or to act cooperatively with the host contrary to its own best interests. Focusing on obligate symbioses, we develop theory to clarify the population-genetic conditions favoring the alternative outcomes. The balance is usually tipped in favor of exploitation by the symbiont, particularly when the number of symbionts within host cells is high, selection is strong on symbionts relative to hosts, there is horizontal transfer of symbionts, and/or the symbionts have accelerated mutation rates or turnover times. If the symbiont conditions the host-cell biology to enhance within-host population sizes, selection for selfish symbionts will be further enhanced by the diminished level of within-host drift. Although the host evolves in parallel to exploit resources from the endosymbiont, the net result is often a stalemate in which the host is no better off than prior to host-symbiont coevolution. Strict vertical inheritance can result in an evolutionary alignment of interests of the endosymbiont and the host, as this minimizes the possibility of within-host selection, but even here there is a critical host population size below which the symbiont evolves to exploit the host. These results suggest that the evolutionary enslavement of a symbiont to benefit a host species requires a narrow mix of population-biological features of both participants.

evolutionary biology↗

bioRxiv2026

Multiple Particle Tracking via Velocity Filtering (MPT-vVF): a velocity filtering framework for robust tracking moving organelles in living cells

Living cells are highly dynamic and densely crowded environments in which organelles such as vesicles undergo continuous motion that is essential for cellular processes. Therefore, accurate tracking of individual organelles is crucial for understanding intercellular dynamics and functions. However, precise tracking of individual organelles in living cells remains challenging due to high organelle densities, frequent particle overlap, and the coexistence of stationary and motile organelles. In particular, stationary organelles can obscure the trajectories of moving organelles, leading to tracking errors and fragmented tracks. To overcome these challenges, we developed Multiple Particle Tracking via Velocity Filtering (MPT-vVF), an unbiased, semi-automated tracking framework that incorporates a mathematically derived velocity-filtering algorithm to selectively identify and track moving organelles with high accuracy in crowded intracellular environments. MPT-vVF integrates denoising, background subtraction, and a velocity-matching detection step that discriminates true particle motion from noise based on spatiotemporal continuity, followed by robust trajectory linking. We demonstrate that MPT-vVF can accurately resolve nanometer-scale displacements of immobilized beads, highlighting its high tracking precision. We also validate the robustness of MPT-vVF by quantifying the transport of brain-derived neurotrophic factor (BDNF)-mRFP-containing vesicles in living hippocampal neurons. Furthermore, MPT-vVF reveals that exposure to 50-nm nanoplastics impairs vesicular transport, reducing both travel length and speed of BDNF-containing vesicles in living neurons. These findings establish MPT-vVF as a powerful method for quantitative analysis of intracellular organelles in crowded living cells and suggest its broad application to biophysics, cell biology, and soft matter research.

biophysics↗

bioRxiv2026

TEAD1 signaling modulates adrenal chromaffin maturation

Chromaffin cells synthesize and secrete catecholamines to coordinate systemic stress responses and regulate diverse neuroendocrine and metabolic functions. However, the molecular mechanisms governing chromaffin-cell differentiation and their disruption in pheochromocytoma (PC) remain incompletely understood. Here, through integrated analyses of human developmental atlases, patient-derived transcriptomic datasets, genetically engineered mouse models, and chromaffin organoids, we identify TEAD1 signaling as a critical regulator of chromaffin-cell differentiation and function. In vivo studies using a chromaffin cell-specific TEAD1 overexpression mouse model demonstrated that suppression of TEAD signaling markedly compromises chromaffin-cell differentiation and endocrine function. Additionally, compared with other TEAD family members, TEAD1 transcriptional activities are readily affected by sequences near the binding motif. To identify therapeutically actionable regulators of TEAD1 signaling, we established a TEAD activity-based screening platform and identified the serotonin receptor HTR5A antagonist SB699551 as a potent modulator of chromaffin-cell state. SB699551 suppressed PC-cell proliferation in vivo, and remodeled catecholamines synthesis in primary human PC cells. Additionally, application of SB699551 to human PC tumor revealed a subpopulation of primary chromaffin cells sensitive to this compound. Mechanistically, CXXC5 and L1CAM were identified as downstream SB699551-TEAD1 signaling effectors mediating chromaffin-cell proliferation and differentiation. Overall, we demonstrate that TEAD1 signaling is a fundamental mechanism regulating chromaffin cell differentiation and that modulation of TEAD1 signaling via SB699551 offers a new area of investigation in chromaffin cell biology.

molecular biology↗

bioRxiv2026

NOTCH3 Modulation of Extracellular Matrix, Cytoskeletal Organisation and Metabolic Functions in Human Vascular Smooth Muscle Cells

NOTCH3 is a transmembrane receptor highly expressed in vascular mural cells where it contributes to blood vessel formation and homeostasis. NOTCH3 expression declines in the vasculature with aging, and dysregulated NOTCH3 signalling is implicated in pulmonary arterial hypertension, cancer progression and CADASIL (Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy). RNA-based approaches targeting NOTCH3 are emerging as potential therapeutic strategies, however, the consequences of NOTCH3 suppression in mature vascular smooth muscle cells (VSMCs) remain incompletely understood. Here, we investigated the molecular and functional effects of siRNA-mediated NOTCH3 knockdown in human aortic smooth muscle cells. Transfection with NOTCH3-targeting siRNA efficiently suppressed NOTCH3 transcript and protein levels. Quantitative proteomics revealed remodelling of extracellular matrix (ECM), cytoskeletal and metabolic pathways, with enrichment of collagen biosynthesis and inhibition of glycolytic signalling. Specifically, NOTCH3 knockdown increased ECM components, including COL3A1, elevated F-actin, and upregulated the actin regulator, CTTN. In parallel, glycolytic capacity was reduced, accompanied by decreased expression of the glycolytic enzyme ENO2. Despite reduced VEGFA and alteration in angiogenic signalling proteins, endothelial network formation in co-cultures, as well as VSMC proliferation and migration remained unaffected. Finally, NOTCH3 interactome analysis revealed key collagen and actin-regulating proteins. These findings identify NOTCH3 as an important regulator of ECM homeostasis, cytoskeletal organisation, and glycolytic metabolism. The preservation of primary cellular functions despite molecular remodelling highlights the adaptive capacity of VSMCs. These findings demonstrate that therapeutic modulation of NOTCH3 may alter vascular cell biology which warrants consideration during development of RNA-based therapeutics for CADASIL and other NOTCH3-associated diseases.

molecular biology↗

bioRxiv2026

Improved ancestral genome reconstruction using a learned gene-content grammar

Ancestral gene content inferences allow inferring the set of genes - and by extension, the cellular features and metabolic capabilities - of ancestral organisms, based on data from modern genomes. Current methods differ in their approach to ancestral inferences and the kinds of errors they make: reconciliation methods map gene trees onto species trees, and tend to under-estimate ancestral contents due to phylogenetic noise; profile methods model the evolution of phylogenetic profiles (presence-absence or count data) on the species tree, and tend to return inflated ancestors because they ignore gene trees and as a result can only account for horizontal gene transfer (HGT) in a limited manner. For reasons of tractability, both approaches also share a core limitation: neither uses the fact that genes do not act alone but belong to operons, protein complexes, and metabolic pathways that may be gained and lost together or experience shared selective constraints. Here, we show that this context - the grammar of gene content - provides a rich source of information that can be used to greatly improve ancestral gene content inference and metabolic reconstruction under both the reconciliation- and profile-based approaches. We model this structure as an Ising model and infer its parameters from 113,104 bacterial and archaeal genomes (one per species representative in GTDB). We validate the model on extant taxa using phylum-level holdout (i.e. using test data from different prokaryotic phyla than training data), showing that it can accurately "denoise", i.e., reconstruct gene repertoires from highly fragmented and noisy input data, learning about protein-protein interactions and gene essentiality during the training process. When applied to ancestral reconstructions, the denoiser fills gaps in conservative reconstructions and removes excess genes from overly-generous ones, such that different reconstruction methods converge to broadly concordant conclusions. By using this gene content grammar, patchy method-dependent ancestral reconstructions can be turned into organism-like ones, and yield agreement on the gene families, cell-biological features, and metabolic capabilities of the deepest nodes in the tree of life.

evolutionary biology↗

bioRxiv2020

A Streptomyces venezuelae Cell-Free Toolkit for Synthetic Biology

Prokaryotic cell-free coupled transcription-translation (TX-TL) systems are emerging as a powerful tool to examine natural product biosynthetic pathways in a test-tube. The key advantages of this approach are the reduced experimental timescales and controlled reaction conditions. In order to realise this potential, specialised cell-free systems in organisms enriched for biosynthetic gene clusters, with strong protein production and well-characterised synthetic biology tools, is essential. The Streptomyces genus is a major source of natural products. To study enzymes and pathways from Streptomyces, we originally developed a homologous Streptomyces cell-free system to provide a native protein folding environment, a high G+C (%) tRNA pool and an active background metabolism. However, our initial yields were low (36 g/mL) and showed a high level of batch-to-batch variation. Here, we present an updated high-yield and robust Streptomyces TX-TL protocol, reaching up to yields of 266 g/mL of expressed recombinant protein. To complement this, we rapidly characterise a range of DNA parts with different reporters, express high G+C (%) biosynthetic genes and demonstrate an initial proof of concept for combined transcription, translation and biosynthesis of Streptomyces metabolic pathways in a single one-pot reaction.

synthetic biology↗