Biology subjects

Walker, S.

Publications and source records attributed to Walker, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Lipid Changes due to Low O-GlcNAc and the Downstream Consequences

O-GlcNAc transferase (OGT) is an essential mammalian glycosyltransferase that installs O-GlcNAc onto thousands of cytosolic and nuclear proteins. Dysregulated glycosylation by OGT is associated with disease states, including cancer and neurodegeneration. However, cellular consequences of acute loss of O-GlcNAc remain poorly understood. Here, we employed a cell-permeable small molecule inhibitor of OGT, OSMI-4, coupled with transcriptomic and lipidomic analyses to characterize the effects of O-GlcNAc depletion in human cell lines. Loss of O-GlcNAc led to changes in expression of lipid metabolism genes and remodeling of the lipidome, with unsaturated phosphatidylcholines (PCs), saturated lysophosphatidylcholines (LPCs) and unsaturated storage lipids accumulating. We also observed increased lipid droplets. Our results suggest that polyunsaturated fatty acids (PUFAs) accumulate in the membrane under low O-GlcNAc conditions and that cells buffer this accumulation by removing PUFAs from membrane lipids and sequestering them in lipid droplets. We found that treatment with OSMI-4 sensitizes cells to ferroptosis inducers, likely because accumulated cell membrane PUFAs undergo peroxidation. Taken together, our results highlight lipid remodeling as an important process that mediates the downstream effects of loss of O-GlcNAc. It may be possible to exploit the synergy between OGT inhibitors and ferroptosis inducers for therapeutic benefit.

cell biology↗

bioRxiv2026

A tumor-cell MHC-II program is associated with checkpoint-blockade outcomes across stages of bladder cancer

Purpose: A minority of patients with bladder cancer derive lasting benefit from immunotherapy, and current biomarkers capture only part of the biology. We evaluated whether tumor-cell MHC class II defines an immune state associated with outcome across disease stages and after PD-1/PD-L1 blockade. Experimental Design: We localized differential MHC-II activity to malignant epithelial cells by single-nucleus and single-cell RNA sequencing and confirmed HLA-DR expression by immunohistochemistry in 122 specimens. Chromatin profiling and IFN-{gamma} stimulation of cell lines and primary tumors supported derivation of an 11-gene tumor-cell program. Associations were tested in 434 patients with non-muscle-invasive disease, 82 receiving neoadjuvant pembrolizumab, and 288 receiving atezolizumab for metastatic disease. Results: Tumor-cell MHC-II was present in approximately one third of bladder cancers, and malignant cells accounted for the differential signal between MHC-II-high and MHC-II-low tumors. The program was inducible by IFN-{gamma} through JAK/STAT signaling. Within luminal non-muscle-invasive disease, MHC-II-low status was associated with progression (HR 3.31, 95% CI 1.37 to 7.99). In PURE-01, the 11-gene program was associated with pathological complete response (52% versus 24%, p = 0.018) and recurrence-free survival (p = 0.0054), retaining an independent association in models including tumor mutational burden and PD-L1. In bladder-primary metastatic disease, program-high status was associated with overall survival in unadjusted analysis (HR 0.62, 95% CI 0.44 to 0.89); the association did not extend to upper tract tumors (interaction p = 0.0018). Conclusions: Tumor-cell MHC-II defines an inducible state associated with outcomes across bladder cancer stages and after checkpoint blockade, supporting prospective evaluation by RNA and immunohistochemistry.

cancer biology↗

bioRxiv2026

Structure-function analysis of PI3K signalling cascade base editing screens in cancer cells

Knowledge of protein structure and function underpins rational drug discovery, yet many targets lack known selectively druggable sites. Furthermore, the identification of secondary druggable sites offers a strategy to overcome drug resistance. Fragment-based drug discovery (FBDD) can identify new ligandable binding pockets, though how to triage those with the ability to exert biologically relevant effects can be unclear. Systematic approaches to identify novel functionally-important protein sites for therapeutic intervention, such as allosteric pockets or protein-protein interaction (PPI) interfaces, has the potential to accelerate drug discovery, particularly when combined with structure-based hit-finding modalities. The phosphoinositide-3 kinase (PI3K) signalling pathway is frequently altered in human cancer and resistance to approved inhibitors is an ongoing challenge. Here, we performed large-scale CRISPR base editing mutagenesis screens across 30 PI3K pathway proteins in three disease-relevant cancer cell models to systematically map functional residues. Integration of base editing data with structural information identified residues corresponding to known catalytic sites, fragment-binding pockets and PPI interfaces, providing validation for the approach. Additionally, we identified putative allosteric pockets near regions of undefined function. Together, these findings establish high-throughput base editing mutagenesis combined with structural analysis as a scalable strategy to delineate structure-function relationships and inform drug development.

genomics↗

bioRxiv2026

A TmaT-AftD interaction is required for the CmpL4 mycomembrane biogenesis pathway in Corynebacterium glutamicum.

Bacteria in the Mycobacteriales order like mycobacteria and corynebacteria surround themselves with a multilayered cell envelope. Their cytoplasmic membrane is fortified by a peptidoglycan cell wall that is decorated with branched arabinogalactan (AG) polymers. The AG glycans are further modified with mycolic acids to form an outer membrane. Biogenesis of this mycomembrane requires the transport of mycolates from their site of synthesis in the cytoplasmic membrane to the cell surface. How mycolate transport is controlled and coordinated with AG synthesis has remained unclear. Mycolate transport is mediated by the essential RND-family transporter MmpL3 in mycobacteria and a pair of related, partially redundant transporters called CmpL1 and CmpL4 in corynebacteria. The acetyltransferase TmaT has also been implicated in mycolate transport in both types of bacteria. In corynebacteria, it is required for the production of acetylated mycolates, and this modification has been proposed to promote mycolate transport via both CmpL transporters in the model organism Corynebacterium glutamicum (Cglu). Here, we reinvestigated the function of TmaT in Cglu and found that it and several factors encoded in the tmaT locus are specifically required for mycolate transport via the CmpL4 transporter pathway. Notably, one of these additional genes encodes the arabinosyltransferase AftD involved in AG biogenesis. TmaT and AftD were found to interact, and our results indicate that this interaction is required for acetylated mycolate production, mycolate transport via the CmpL4 pathway, and normal arabinan synthesis. Thus, the TmaT-AftD interaction may serve as a regulatory link connecting mycolate transport with AG biogenesis. SIGNIFICANCEMycobacteriales bacteria, including pathogens like Mycobacterium tuberculosis (Mtb), have a complex cell surface comprising an inner membrane, a cell wall modified with arabinogalactan (AG), and an outer mycomembrane made of mycolic acids linked to AG polymers. Because these surface biogenesis pathways are targeted by frontline anti-Mtb drugs, there is great interest in elucidating their underlying mechanisms. Here, we identify an interaction between factors involved in mycomembrane (TmaT) and AG biosynthesis (AftD) in the model organism Corynebacterium glutamicum. We show that this interaction is important for proper surface biogenesis and may therefore function to coordinate mycomembrane assembly with AG synthesis. This and other potential regulatory connections controlling envelope biogenesis represent attractive targets for future antibiotic development.

microbiology↗

bioRxiv2026

ROOTQUANT: AUTOMATED ROOT TRAIT QUANTIFICATION FROMMINIRHIZOTRON IMAGES USING DEEP LEARNING

AO_SCPLOWBSTRACTC_SCPLOWQuantifying root traits such as root length (RL) and root surface area (RSA) from minirhizotron imagery is a valuable approach for overcoming the phenotyping bottleneck that limits understanding and improvement of crop productivity, resource use efficiency and resilience in field experiments. However, current approaches remain labor-intensive, and deep learning (DL) methods suffer from limited generalization ability. We present RootQuant, an end-to-end DL model that simultaneously predicts RL and RSA directly from minirhizotron images using only whole-image trait values as supervision, thereby eliminating the need for pixel-level annotations. The models generalization ability was evaluated across species and fine-tuning configurations. The practical applicability of the model was further assessed under field conditions by converting image-derived RL estimates into volumetric root length density (vRLD). Using 118,191 maize and soybean images collected between 2009 and 2020, RootQuant trained on both species achieved an R2 of 0.90 and an RMSE of 2.9 mm for RL, and an R2 of 0.88 and an RMSE of 4.2 mm2 for RSA. The same mixed-species model generalized strongly across species, yielding an 8% relative improvement in R2 and a 30% lower RMSE on maize compared with the same architecture trained on a single species and applied zero-shot. Image-derived RL predictions converted to vRLD showed the expected depth-dependent decline in vRLD, as was also found by coincident destructive quantification of roots washed out of soil cores. By providing a generalist backbone model trained on a large dataset from two major crop species, RootQuant enables high-throughput simultaneous estimation of two relevant root traits directly from raw imagery without task-specific fine-tuning, thereby accelerating in situ root system analysis and phenotyping applications.

plant biology↗

bioRxiv2026

Patient cerebral organoids capture Alzheimers disease proteomic biomarkers and drug targets

Patient iPSC-derived cerebral organoids are a leading human model of Alzheimers disease, yet their proteome has never been benchmarked against human disease. Clinical cohorts now nominate thousands of biomarkers and drug targets across three proteomic platforms, and whether patient organoids capture these candidates is unknown. Here, we profile AD and control cerebral organoids containing neurons, astrocytes, and microglia on the three platforms driving clinical discovery, mass spectrometry, SomaScan, and Olink, in both conditioned media and lysate. Benchmarked against 121 studies and clinical cohorts of over 17,000 plasma, CSF, and cortex samples, patient organoids detect almost every nominated candidate and reproduce the disease-associated change in roughly one in four of the most reproducible. This convergence spans plasma, CSF, and cortex, and extends to synaptic, mitochondrial, and proteostatic biology. We provide the first multi-platform reference proteome of a patient-derived AD model, establishing it as a translationally relevant system for studying AD.

neuroscience↗

bioRxiv2026

Staphylococcus aureus uses a eukaryotic-like uridyltransferase to make UDP-GlcNAc for cell wall synthesis

UDP-N-acetylglucosamine (UDP-GlcNAc) is an essential metabolite used to build the peptidoglycan cell wall that protects bacteria against lysis caused by high turgor pressure. More than thirty years ago, GlmU, which contains both acetyltransferase and uridyltransferase activities, was discovered to make UDP-GlcNAc in E. coli, and it is now widely considered essential for UDP-GlcNAc synthesis across bacteria. Here we report that the clinically important pathogen Staphylococcus aureus relies on a previously uncharacterized uridyltransferase called NagU to synthesize most of its UDP-GlcNAc for cell wall synthesis. We also report that NagU binds to and negatively regulates DacA, the diadenylate cyclase that makes the essential second messenger cyclic di-AMP, which regulates turgor pressure. We propose a model in which increasing NagU expression simultaneously increases flux into peptidoglycan and increases turgor pressure to enable cell wall expansion. Finally, an evolutionary analysis shows that many bacteria beyond Staphylococcaceae encode NagU homologues but lack GlmU either entirely or in part, suggesting that alternative UDP-GlcNAc biosynthesis pathways are not rare.

microbiology↗

bioRxiv2026

Identification of the complete pathway for conversion of bilirubin to urobilinogen by human gut bacteria

Bilirubin, the predominant product of heme catabolism in mammals, enters the intestine via the hepatobiliary system and subsequently is metabolized by the gut microbiome. This process consumes bilirubin and generates multiple downstream derivatives, such as urobilinogen and stercobilinogen. Levels of bilirubin and its derivatives are associated with susceptibility to inflammatory and metabolic disorders, but the microbial species and enzymes that metabolize bilirubin have remained largely unknown. Here, demonstrate that metabolism of bilirubin to urobilinogen requires two separate reactions that can occur in either order and identify novel enzymes and pathway intermediates required for conversion. We find that bilirubin reductase (BilR), an enzyme that was recently discovered and proposed to convert bilirubin to urobilinogen, is specific for reducing the methine bridges of bilinoids, converting bilirubin to the novel intermediate divinylurobilinogen and mesobilirubin to urobilinogen. Using transcriptomic profiling, we identify the bilinoid vinyl reductase (BilV) responsible for reducing the vinyl groups of bilirubin and divinylurobilinogen. BilV is a flavin-dependent oxidoreductase of the Old Yellow Enzyme (OYE) superfamily with a broad distribution across human gut bacteria that overlaps with but does not completely mirror the distribution of BilR. These findings establish the complete pathway for bacterial conversion of bilirubin to urobilinogen, enabling defined studies to interrogate how this metabolism contributes to human health and disease.

microbiology↗

bioRxiv2026

High-dimensional multiomics reveals perturbations to IL-6/IL-6R axis and RUNX3 in CD4+ T cells during third trimester pregnancy

ObjectivesCD4+ T cells play key roles in regulating immune responses during pregnancy, therefore we aimed to understand the CD4+ T cell surface proteome and transcriptome during pregnancy. MethodsCD4+ T cells were analysed in blood and decidua from term-pregnancies (>37 weeks), and non-pregnant blood. >350 surface proteins were screened via flow cytometry, and transcriptomes were analysed using single-cell RNA sequencing with >130 CITE-seq barcoded antibodies. ResultsSurface protein screening identified changes to ILT4/CD85d, CD9, IFN-{gamma} receptor {beta}-chain, CX3CR1 and CCR5 in the pregnant blood and decidual CD4+ T cells. CX3CR1 and CCR5 had the highest expression on the effector-memory T cell (TEM) subset in the blood, with expression consistent across subsets in decidua. CD126/IL-6R was lower in pregnant blood and decidual CD4+ T cells, while scRNAseq identified enrichment in the IL-6R signalling pathway in naive CD4+ T cells in pregnant blood. Both sIL-6R and IL-6 concentrations were increased in plasma during pregnancy, suggesting perturbations to the IL-6/IL-6R signalling axis. Meanwhile, decidual CD4+ T cells had increased expression of transcription factor RUNX3 in the CD69+ tissue-resident-like subset. ConclusionsOur findings demonstrate altered molecular expression in CD4+ T cells during pregnancy. This provides important mechanistic insight of their adaptation and regulation during placental development, which may drive placental dysfunction or pregnancy complications including preeclampsia, fetal growth restriction and stillbirth. These new data may inform future studies that focus on determining the significance of differentially- expressed immune features in pregnancy to identify potential targets for immune modulation to treat pregnancy complications and infections.

immunology↗

bioRxiv2026

Inducible Impairment of Polymerase Gamma Activity in Cardiomyocytes Promotes Severe Cardiomyopathy with Cardiac Hepatopathy

Mitochondrial dysfunction is a hallmark feature of heart failure (HF) and cardiomyopathy, with substantial human and preclinical evidence suggesting that congenital mitochondrial defects can directly drive these conditions. Despite these strong links, not all individuals with mitochondrial disease develop cardiomyopathy, and therefore the precise mitochondrial defects that initiate cardiac pathology in this setting remain incompletely understood. Here, we describe a novel mouse model that induces progressive deterioration in mtDNA integrity specifically in cardiomyocytes. This model was generated through a post developmental, cardiomyocyte specific deletion of the exonuclease domain of Polymerase Gamma (PolG), impairing its ability to repair mtDNA. Strikingly, from just 16 weeks post-induction these mice displayed progressive worsening of cardiac output, ejection fraction, global strain and blood pressure culminating in premature death at 28-30 weeks post-mutation. Morphologically, these mice displayed cardinal features of hypertrophic cardiomyopathy with enlarged hearts, ventricles and cardiac fibrosis - but little evidence of congestive HF. We also demonstrate using various transcriptional and proteomic readouts, that signalling pathways characteristic of cardiomyopathy were activated. Interestingly, prior to substantial declines in cardiac function, we detect robust activation of the integrated stress response (ISR) in PolGMut mice, and major rewiring of mitochondrial folate metabolism pathways, suggesting that these pathways underpin the developing pathology. Lastly, we also observed a striking hepatopathy phenotype in mutant mice reminiscent of that observed in patients with HF, a condition not robustly recapitulated previously in other mouse models. Thus, our data establish a direct link between mtDNA instability leading to chronic activation of the ISR and rewiring of folate metabolism in cardiomyocytes, subsequently driving a severe cardiac phenotype associated with hepatopathy.

physiology↗

bioRxiv2026

A Multiscale Model of Collective Decision-Making in Hybrid Aspen Tree Tissues Describes Bud-Dormancy Break

The mechanisms underlying cellular coordination within tissues remain enigmatic. Most models focus on interactions between just two levels of organization - cell and tissue - and do not leverage data across deeper hierarchies that best represent living processes, with many spatial and temporal scales interacting. Integrating many scales, from molecular to cellular to tissular to organismal to populational, may be necessary to fully elucidate tissue function, especially in cases of sparse data at each level. Here, we investigate multiscale, robust regulation of tissue-level decision-making, using experimental studies of cold induced dormancy release in terminal buds of hybrid aspen trees as our case study. We develop a network model of terminal bud meristematic tissue, incorporating expression data from a key cold induced regulator gene, FLOWERING LOCUS T (FT1), which controls bud dormancy release, combined with data on variability in cell-to-cell communication controlled by FT1 mediated regulation of plasmodesmata. The model can explain dormancy breaking under constant temperature, but not variable temperature. We introduce constraints from organismal-level data and show how the presence of coordinated cellular interactions within individual plant tissues is necessary to reproduce data of population-level statistics. Our findings demonstrate how mechanisms of tissue function may be better constrained when data are used across more scales. They also hint at potential tantalizing new insights such as how tissue function might not be solely dictated bottom-up from molecular interactions, but also top-down from constraints imposed by the organismal and population context. Both implications illustrate the critical importance of incorporating cross-scale information processing in modeling biological decision-making. Significance StatementBiological hierarchies involve decision-making mediated via nested feedback loops. Data-informed modeling of this hierarchal complexity remains challenging. Here, we leverage unique features of plant biology - stationary growth, prolonged decision-making, and physical structure - to study multiscale dynamics determining cellular mechanisms of bud dormancy breaking in aspen trees. We examine how tissue function can be driven bottom-up from gene regulatory networks and top-down from organismal population-level statistics. Modeling experimental data collected at genetic, cellular, and organismal levels, reveals how population-level data allow constraining mechanisms of cellular coordination within individual plants when cellular data are sparse. Our findings demonstrate how multiscale methods can combat data sparsity and suggest new ways to study cellular coordination within organisms could be dictated by organismal population-level constraints.

synthetic biology↗

bioRxiv2026

Catch-and-Display Immunoassay as an Accessible Platform for Digital Biomarker Detection

Digital immunoassays provide exceptional analytical sensitivity for detecting low-abundance biomarkers, but their broad adoption is limited by practical barriers. Commercial platforms are prohibitively expensive for routine use by individual laboratories, and laboratory-scale concepts typically describe specialized biosensors and sophisticated workflows. Here, we introduce a nanomembrane-based Catch-and-Display Immunoassay (CAD-IA) as a cost-effective and laboratory-friendly digital immunoassay for common research settings. In CAD-IA, fluorescent nanoparticles are "captured" by the nanoscale pores of ultrathin silicon nitride membranes through a pipette powered filtration. The captured nanoparticles serve as optically isolated hotspots for fluorescent immunocomplex formation when target antigen is present. Co-localization of the fluorescent particles and fluorescent immunocomplexes are then "displayed" and quantified by standard confocal microscopy to generate digital signals. CAD-IA is implemented using the {micro}SiM-DX (microfluidic device featuring an ultrathin silicon membrane for diagnostics) platform, which is manually assembled from mass produced, cost-effective components. Using the traumatic brain injury (TBI) biomarker S100B as a model, we demonstrate that CAD-IA provides consistent digital outputs and linear quantification with a dynamic range of at least two orders of magnitude when digital and analog analysis are combined on the same image sets. We further demonstrate that the assay maintains linearity in serum matrices and achieves suitable sensitivity (LoD = 0.02 g/mL) for clinically relevant diagnostic with the addition of tyramide signal amplification (TSA). While further optimization of CAD-IA is possible, these results constitute a proof-of-concept demonstration of a novel digital immunoassay deployable in most research laboratories.

bioengineering↗

bioRxiv2025

The mycomembrane proteins PorH and ProtX are inserted at polar growth zones and linked to the cell wall

The Mycobacteriales order of bacteria includes important pathogens such as Mycobacterium tuberculosis. These organisms are surrounded by a unique cell envelope architecture that includes a two-layered cell wall composed of peptidoglycan (PG) and arabinogalactan (AG). They also build an outer membrane called the mycomembrane that is made of mycolic acids. Mycolate outer membrane proteins (MOMPs) reside within the mycomembrane and a subset are thought to form pores that allow essential nutrients to permeate the envelope. However, little is known about the structure of these proteins or the mechanism by which they are assembled. Here, we investigate MOMP assembly in Corynebacterium glutamicum (Cglu) using PorH as a model corynebacterial MOMP. PorH is encoded in an operon with the MOMP PorA, and the two small, alpha-helical proteins have been proposed to form hetero-oligomeric pores in the mycomembrane. Consistent with this proposal, AlphaFold2 predicts a high confidence structure of a hetero-oligomeric pore formed by five copies each of PorH and its partner PorA, and we show that PorA is required for the surface assembly of PorH. Using a fluorescence assay for detection of surface-exposed PorH or another MOMP called ProtX, we found that MOMP assembly occurs within zones of active PG synthesis at the cell poles. We also discovered that PorH and ProtX are linked to the cell wall. Thus, like Gram-negative bacteria, Cglu coordinates outer membrane protein assembly with PG biogenesis and uses proteins to connect the mycomembrane and the cell wall.

microbiology↗

bioRxiv2025

Rapid Derivation of Cloning-Competent Cells from Peripheral Blood Advances Conservation Biobanking

I.Establishing viable cell lines from endangered species is essential for conservation, yet traditional fibroblast derivation from skin biopsies faces challenges including variable success rates, contamination risk, and extended culture timelines. We demonstrate that endothelial progenitor cells (EPCs) and pericytes isolated from peripheral blood represent superior alternatives for biobanking across three mammalian genera (Canis, Bison, and Equus). Blood-derived cells exhibited 2-3 fold faster doubling rates (15-20 hours versus >35 hours for fibroblasts) and reduced time to generate banked lines from 3-4 weeks to 1.5-2 weeks. Proteomic profiling of 32 canonical markers confirmed EPCs and pericytes represent distinct populations with lineage-specific molecular signatures. Optical genome mapping demonstrated equivalent genomic stability across all cell types with no detectable structural variants or aneuploidies. Critically, interspecific somatic cell nuclear transfer (iSCNT) experiments confirmed both EPCs and pericytes generate viable embryos with efficiency meeting or exceeding fibroblasts. Gray wolf blood-derived cells produced six viable fetuses with 15% implantation rate, while bison EPCs showed higher blastocyst formation (7%) than fibroblasts (3%) from the same individual. Blood collection during routine veterinary procedures offers minimally invasive sampling with reduced contamination compared to skin biopsies. These findings support integrating blood-derived cell banking into conservation programs, enabling opportunistic genetic preservation during standard management activities and expanding options for genetic rescue through assisted reproductive technologies.

cell biology↗

bioRxiv2025

ArchVelo: Archetypal Velocity Modeling for Single-cell Multi-omic Trajectories

Inferring dynamic cellular processes from static single-cell measurements remains a central challenge in genomics. Here we introduce ArchVelo, a new method for modeling gene regulation and inferring cell trajectories using single-cell simultaneous chromatin accessibility (scATAC-seq) and transcriptomic (scRNA-seq) profiling. ArchVelo represents chromatin accessibility as a set of archetypes--shared regulatory programs--and models their dynamic influence on transcription. Compared to previous methods, ArchVelo improves inference accuracy and gene-level latent time alignment, and enables identification of the underlying transcription factor activity. We benchmark ArchVelo on developing mouse brain and human hematopoiesis datasets and apply it to CD8 T cells responding to viral infection, revealing distinct trajectories of differentiation and proliferation. Focusing on the progenitor CD8 T cell population with key roles in sustaining immune responses and translationally linked to immunotherapy outcomes, we identify a previously uncharacterized differentiation trajectory from Ccr6- to Ccr6+ progenitors, shared between acute and chronic infection. In sum, ArchVelo provides a principled framework for modeling dynamic gene regulation in multi-omic single-cell data across biological systems.

genomics↗

bioRxiv2025

Declining intracellular proteostasis capacity drives misfolded protein secretion in senescent human cells.

Healthy protein homeostasis ( proteostasis) relies on tightly-regulated protein quality-control (PQC) circuits that co-ordinate sequestration and clearance of potentially toxic aggregation-prone proteins, arising from various internal or external stress throughout an organisms lifespan. At the protein level, proteotoxic stress responses typically involve extensive poly-ubiquitylation and sequestration of aggregation-prone proteins and PQC factors into various protective cytoplasmic and nuclear granules. However, much of our current understanding regarding this aspect of stress responses in humans stems from research in proliferating cells--despite growing evidence that stress responses vary considerably at the transcriptional level across cell proliferation states. Here, we show that the senescent cellular state--considered a major contributor to ageing-associated degeneration due to a chronic inflammatory phenotype--re-wires PQC and expels the misfolded protein load to mitigate proteotoxic stresses. Starting with a multi-dimensional transcriptomics and proteomics approach for measuring levels of total, poly-ubiquitylated, and granule-forming proteins, we have discovered a clear point of divergence between senescent and proliferating or quiescent human cell states in their responses to proteotoxic stress. Although the proteins that were poly-ubiquitylated and degraded during stress were largely conserved across states, the stress-induced sedimentation of a large number of disease-associated RNA-binding proteins (including TDP-43) was impaired only in the senescent state. Strikingly, TDP-43, as well as several other misfolded proteins, were actively secreted through the endo-lysosomal system by a diverse range of senescent cells during acute or chronic stress, through a process that requires the vesicle-associated HSP70 co-chaperone DNAJC5--an established risk factor for several neurodegenerative diseases. Misfolded protein secretion could be rescued by increasing intracellular HSP levels in shallow but not deep senescence, suggesting that secretion is a proteostatic adaptation that becomes less reversible over time. Our findings reveal an unappreciated aspect of the senescent-cell secretory phenotype, which may have important consequences for the non-cell-autonomous impact of senescence at the level of tissue resilience and frailty.

cell biology↗

bioRxiv2025

Maize mutant hybrids with improved drought tolerance and increased yield in a field experimental setting

Previous studies determined that maize mutants in miR394-regulated genes, ZmLCR1 and ZmLCR2, are more tolerant than wild-type seedlings to prolonged periods of drought. In order to evaluate the effect of these mutations in a genetic background more similar to that of maize commercialization, in this work we evaluate growth of double mutant hybrid plants in W22/B73 genetic background and also evaluated plant fitness, flowering and yield in experimental plots under two watering regimes, and compared the nutritional content of wild-type and mutant hybrids. Our results show that mutant hybrid seedlings exhibit improved physiology under normal watering conditions as well as in drought conditions, exhibiting an increase in epicuticular wax content, unaltered membrane damage in drought and lower ROS production, supporting higher survival after severe drought for double mutant hybrid seedlings. We also established that the hybrid mutants grown in typical agricultural conditions do not show differences in flowering time or in physiological and nutritional aspects, but they present a higher yield in comparison to wild-type W22/B73 hybrids, as determined by higher ear weight and number of kernels per ear in mutant hybrids, when grown in field rainfed conditions. HighlightsO_LIDouble mutants in miR394-regulated genes, ZmLCR1 and ZmLCR2, show enhanced drought tolerance in hybrid maize seedlings, with improved physiological traits under both normal and stress conditions. C_LIO_LIMutant hybrids exhibit increased epicuticular wax accumulation and reduced ROS production, supporting greater survival during prolonged drought stress. C_LIO_LIField-grown mutant hybrids in a W22/B73 background maintain normal flowering time and nutritional composition, indicating no agronomic penalties from the mutations. C_LIO_LIYield is significantly higher in mutant hybrids compared to wild-type controls, as shown by increased ear weight and kernel number under rainfed field conditions. C_LIO_LIThese findings highlight ZmLCR1 and ZmLCR2 as valuable targets for breeding drought-tolerant, high-yielding maize cultivars suited to production environments. C_LI

plant biology↗

bioRxiv2025

Ploidy alters root anatomy and shapes the evolution of wheat polyploids

Polyploidization played a crucial role in crop domestication and modern agriculture. While increased cell size in polyploids is known to enhance plant biomass and vigor, its impact on soil exploration remains poorly understood. Using wheat as a model, we identify a ploidy-induced belowground domestication syndrome, characterized by (a) increased root cortical cell size reducing root respiration, nitrogen content, and phosphorus content; (b) enlarged metaxylem vessels, increasing axial hydraulic conductance; and (c) blunter root tips, limiting penetration ability in compacted soils. Our empirical and in silico experiments show that reduced root respiration and reduced cellular nutrient content in wheat polyploids improved nutrient use and acquisition efficiency under suboptimal nitrogen and phosphorus availability. These adaptations would have been advantageous in nutrient-depleted agroecosystems of the Pre-Pottery Neolithic B (PPNB) Fertile Crescent, where continuous cultivation depleted soil fertility over time. Functional-structural modeling indicates that larger cortical cells in wheat polyploids increase vacuolar occupancy, reducing root metabolic costs. Enhanced axial hydraulic conducta nce may have improved water transport, an advantage in irrigated PPNB agroecosystems. However, polyploids have blunter root tips, which reduces their penetration ability in compacted soils, making them less suited for native soils with greater mechanical impedance. We propose that root anatomical changes driven by ploidy played an important role in adaptations of wheat domesticates to PPNB agriculture. One-Sentence SummaryPolyploidy induced changes in root anatomy may have improved adaptation of wheat to Neolithic agroecosystems.

plant biology↗