Biology subjects

Jones, C.

Publications and source records attributed to Jones, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Parrots imitate song and dance with mixed vocal-gestural neural signals

Humans shrug when saying "I don't know" and nod when saying "yes," yet it remains unclear how the brain coordinates vocal and gestural motor systems for learned, multimodal communication. Here we find that budgerigar parrots precisely imitate the fine temporal alignment between song and affiliative headbob gestures. Distinct colonies developed unique vocal-gestural motifs, which reorganized into new shared forms following social re-pairing. Neural recordings from the central nucleus of the anterior arcopallium (AAC), the cortical output of the parrot song system, revealed intermixed representations of vocalizations and head kinematics, including mixed selectivity at the level of single neurons. These findings show that socially learned multimodal communication is implemented by the joint representation of vocal and gestural motor signals within single neurons, revealing neural mechanisms that may extend to frontal cortical regions controlling speech and gesture in humans.

neuroscience↗

bioRxiv2026

A sparse neural code for acoustic targets enables speech-like vocal flexibility in parrots

English speech flexibly recombines 44 phonemes into >20,000 words and limitless phrases. Here we identify a novel neural code supporting combinatorial vocal control in budgerigar parrots. Deep learning based acoustic analyses show that both English imitated and natural warble songs are composed of subsyllabic acoustic elements that are flexibly reused across acoustic contexts, analogous to phoneme reuse in words. Such reuse poses a scaling problem for songbird-inspired timing-based codes, which require distinct neural sequences for distinct syllables even when syllables share acoustic components. We identified neurons in the parrot frontal cortical nucleus MO that exhibit sparse bursts locked to reused acoustic elements independent of syllable identity, timing, or surrounding acoustic context. These results provide the first evidence for a sparse, acoustically-grounded vocal motor code that can be flexibly reused to assemble a large and combinatorial vocal repertoire.

neuroscience↗

bioRxiv2026

Angiopoietin-like protein 7 (ANGPTL7)-mediated effects on resident immune cells contribute to neurodegeneration in glaucomatous optic nerve head

Glaucoma is an optic neuropathy characterized by progressive retinal degeneration. Population genetic analyses describe an association of variants in angiopoietin-like protein 7 (ANGPTL7) with lower intraocular pressure (IOP) and decreased glaucoma susceptibility. In addition to its reported role in the trabecular meshwork (TM), we demonstrate that ANGPTL7 is also expressed within disease-relevant cell types of the human posterior eye, specifically prelaminar optic nerve head astrocytes (ONHA). Contrasting with previously published findings, we observe no difference in IOP between Angptl7-/- mice and wild-type littermates. Despite absence of an IOP phenotype, loss of ANGPTL7 protects from IOPinduced retinal ganglion cell (RGC) damage in a rodent glaucoma neurodegeneration model. ANGPTL7 may signal through LAIR1-positive immune cells, potentially contributing to pro-inflammatory signaling and phenotypic modulation of resident immune cells, with evidence suggesting that oligomerization of ANGPTL7 is necessary for its activity. Comprehensively, our data highlight an unappreciated role of ANGPTL7 in modulating neuroinflammation in the posterior eye, contributing to glaucoma progression.

neuroscience↗

bioRxiv2026

Cooperativity through Allee Effects drives growth of diffuse midline gliomas impacting the optimal scheduling of therapeutic interventions

Diffuse midline gliomas are a group of tumours for which no effective therapies exist. These tumours have substantial intratumoural heterogeneity and harbour beneficial subclonal interactions. Therapeutic failure due to resistance is a major concern in these tumours. We demonstrate how distinct subpopulations derived from the same tumour can interact with one another to alleviate the impacts of therapeutic intervention. This is achieved through the establishment of a mathematical extension to the Lotka-Volterra competition model, where interactions perturbing the Allee effect were demonstrated to exist. These interactions had substantial downstream consequences as they were determined to be perturbed by therapeutic interventions and strikingly, when simulating a two-drug paradigm, the interactions were demonstrated to substantially later the outcomes of treatment scheduling.

cancer biology↗

bioRxiv2026

Combination of ALK2 and cholesterol targeting agents exploits linked genetic and metabolic dependencies in diffuse midline glioma

Diffuse midline glioma is an epigenetically driven disease defined by alterations targeting the histone post-translational modification H3K27me3 resulting in epigenetic rewiring and imposing unique metabolic dependencies. ACVR1-mutations arise in ~25% of DMG H3K27-altered patients and impart a selective dependency on the kinase it encodes (ALK2), however ALK2 inhibitors show modest single-agent efficacy in vivo. In an attempt to better understand the cellular consequences of ALK2 inhibition to identify mechanistically-driven drug combinations, integrated multi-omics analysis was performed and revealed a novel role for ALK2 in cholesterol homeostasis while CRISPR and high-throughput drug screens identified hits targeting cholesterol metabolism as sensitisers to ALK2i. In vivo assessment of ALK2i plus clinically well-tolerated statins revealed a significant increase in the median survival compared to vehicle. Forced differentiation of DMG cells from an oligodendrocyte precursor-like to an astrocyte-like cell-state and led to a significant decrease in ALK2i sensitivity and synergy with statins, which was phenocopied when DMG cells were co-cultured with normal astrocytes. We identify a previously unappreciated role for ALK2 signalling in cholesterol homeostasis, showing cell-state dependency, and identify a rational combinatorial strategy for clinical translation.

cancer biology↗

bioRxiv2026

The Choreography of Coupled Brains: Coordinated Movement and Multi-Scale Neural Synchrony in Musical Theater for Individuals with Developmental Disabilities

Performing together, which demands moving, singing, and coordinating in real time, is among the most social things people do, yet whether such coordination synchronizes not only behavior but brain activity, within and between performers, has rarely been examined during genuine performance. In this pilot study, we used mobile electroencephalography, including dual-brain hyperscanning of co-performing partners, to resolve neural change over a 16-week musical-theater program in adolescents and adults with developmental disabilities, the majority autistic. We examined four levels: behavior, spectral power, within-brain (source-space) connectivity, and between-brain synchrony, framing all estimates as effect sizes. Anxiety decreased from pre- to post-intervention, consistently across participant and parent reports. During performance, high-beta and gamma power and within-brain amplitude connectivity rose broadly across the cortex, with maximal effects seen in parieto-occipital regions. Between-brain coupling was similarly carried by amplitude co-fluctuation rather than phase; however, it was graded by the degree of interpersonal movement coordination (strongest when partners mirrored one another) and scaled with movement vigor. Local and within-brain changes were thus broad and state-like, whereas coupling between brains was specific to interpersonal coordination. Coordinated movement may organize neural synchrony across scales, positioning musical theater as a tractable model for studying the social brain in motion.

neuroscience↗

bioRxiv2026

Inbreeding depression and population viability in a recovering population of Mauritius kestrels

Inbreeding depression (the reduction in fitness associated with inbreeding) has been demonstrated in a wide range of animals, but despite its ubiquity, is not an inevitable consequence of inbreeding. As a result, there is uncertainty about the extent to which inbreeding depression poses an ongoing risk to endangered species currently experiencing significant demographic recovery. Quantifying inbreeding depression will be critical if we want to understand these risks. A comprehensive quantification of the fitness costs of inbreeding requires detailed individual-based longitudinal data so lifetime impacts can be assessed. Here, we use an extraordinarily detailed long-term dataset on Mauritius kestrels (Falco punctatus) to explore inbreeding depression in a population currently experiencing significant demographic recovery. To do so, we constructed a social pedigree of 1,758 individuals and combined this with 1,240 nest records and 1,411 individual resighting histories to explore lifetime fitness effects over a 30-year period. Inbreeding increased significantly over time as the population recovered before stabilising. Inbred eggs were less likely to survive to fledging. Inbred adult male and female birds had significantly lower annual reproductive success than outbred individuals because of a lower annual egg-to-fledgling survival probability. This resulted in significantly lower lifetime reproductive success in inbred females but not males, which showed a negative trend. Population growth was negative and extinction risk increased slightly at current levels of inbreeding. These impacts will become more severe should inbreeding levels increase in the future, which is highly likely given ongoing genomic erosion. Taken together, our results demonstrate significant fitness costs associated with inbreeding in Mauritius kestrels, which pose an ongoing risk to population viability. This suggests that monitoring and managing inbreeding risks in endangered species will likely be required even in populations that are showing significant demographic recovery in response to conservation interventions.

ecology↗

bioRxiv2026

Droplet microfluidics reports digital and tuneable single-platelet ADP secretion describing primed, active and hyper-active states

New platelet function assays that provide an accurate assessment of platelet reactivity as a surrogate for thrombosis risk could change the paradigm for acute myocardial infarction and stroke prevention. Considering ADP secretion as a hallmark of platelet activation, we developed a method for encapsulating single platelets with a fluorescent reporter for extracellular ADP in picolitre droplets. The method, termed the Droplet ADP Secretion Assay (DASA), robustly detected dose-dependent ADP secretion responses to agonists. Digital ADP secretion heterogeneity was observed with the major fraction of platelets responding and the remaining fraction being non-responders. Primed platelets had elevated responses to agonists, with increased ADP secretion and an increased fraction of secreting platelets, demonstrating that priming can convert otherwise inactive platelets to a reactive state. Uniquely, the method detected ADP secretion from primed platelets in the absence of agonists. In contrast, primed platelets were not detected by flow cytometry involving CD63 and CD62P endpoints. In a preliminary clinical study, some patients had platelets with a priming-like ADP secretion signature, suggesting treatment with P2Y12 inhibitors may be warranted. In vitro aspirin and ticagrelor treatments reduced ADP secretion responses to agonists. In summary, DASA offers a novel approach to assess platelet reactivity and holds promise for assessing thrombotic tendency and personalised therapeutics.

pathology↗

bioRxiv2026

Single-cell multi-omic analyses resolve the cellular diversity of ALK/ROS1/MET/NTRK-fused gliomas in infants and older children

Pediatric cancers are thought to arise from dysregulation of developmental programs, otherwise tightly regulated in time and space. Infant-type hemispheric gliomas (IHGs) arise in early childhood, driven by characteristic ALK/ROS1/MET/NTRK receptor tyrosine kinase (RTK) gene fusions. We dissected the cellular hierarchies of 24 fusion-positive gliomas, spanning infants through adolescents, using single-cell and single-nucleus RNA/ATAC-seq, and spatial transcriptomics. We identified five cancer cell states, with radial glia-like cells at the apex of a neoplastic hierarchy resembling neuronal- and glial-like trajectories. Neuronal-like cells were enriched in most IHGs but diminished in ROS1-fused IHGs and older patients. Integration of chromatin profiling revealed FOS/JUN-driven oncogenic programs and high inferred plasticity across all cancer cell populations. Myeloid cells, the most abundant non-neoplastic population, comprised distinct subgroups, suggesting context-dependent functions. Despite lacking high-order structure, spatial transcriptomics revealed discrete cellular niches within IHGs. Collectively, our findings elucidate the cellular states and developmental programs underlying IHGs and RTK-fused gliomas in older patients, opening new avenues for research and therapy innovation.

cancer biology↗

bioRxiv2026

Disrupting a Convergent Acetylation Circuit Collapses Leukemic Identity Across AML Subtypes

Transcriptional condensates anchored by chromatin readers are increasingly recognized as organizing hubs for gene expression, but how their assembly and stability are regulated remains poorly understood. Here, we identify an acetylation-dependent feed-forward circuit that controls the integrity of the Super Elongation Complex (SEC), a key driver of transcriptional elongation. We show that the SAGA histone acetyltransferase catalytic subunits KAT2A/KAT2B license acetylation of both histone H3 lysine 9 (H3K9ac) and SEC components themselves, including ENL, AFF1, and AFF3. Loss of this dual acetylation activity, achieved via a cereblon-recruiting PROTAC (GSK983/GSK699), displaces the chromatin reader ENL from target loci, dissolves ENL-anchored transcriptional condensates, and disrupts SEC-dependent transcriptional output - linking histone and non-histone acetylation to the physical integrity of a core transcriptional machine. Using genome-scale dependency data, we show that the SAGA complex is a selective chromatin dependency in acute myeloid leukemia (AML) AML and hematological malignancies and disrupting this feed-forward transcriptional circuit in AML demonstrates subtype independent antileukemia effects. KAT2A/B degradation drives potent, broad-spectrum antileukemic activity across genetically diverse AML cell lines, primary patient samples, and an isogenic KMT2A-rearranged model bearing cooperating oncogenic mutations, with H3K9ac loss concentrated asymmetrically at core AML oncogene loci such as MYC, MYB, and the HOXA cluster. Together, these findings define an acetylation-dependent circuit governing SEC integrity and establish KAT2A/B degradation as a mechanism-based, pan-AML therapeutic strategy, with implications for transcriptional condensate regulation beyond leukemia. HIGHLIGHTSO_LIThe SAGA complex is a selectively essential chromatin dependency across hematological malignancies and particularly in AML C_LIO_LIKAT2A/B degradation drives broad anti-leukemic activity across genetically diverse AML subtypes including chemo-refractory disease C_LIO_LIKAT2A/B degradation depletes H3K9ac at AML oncogene loci and dismantles ENL-anchored condensates C_LIO_LIKAT2A/B licenses regulation of super elongation complex acetylation and ENL interaction with SEC complex components C_LI

cancer biology↗

bioRxiv2026

S100A9-Dependent CXCR2hi Neutrophils Mediate Systemic Immune Suppression and Checkpoint Resistance in Metastatic TNBC

Most high-dimensional studies of tumor-immune interactions focus on metastatic models, limiting insight into how immune remodeling in primary tumors shapes metastatic competence. Here, integrating single-cell RNA sequencing, CyTOF, and functional studies across metastatic (4T1) and non-invasive (EMT6) triple-negative breast cancer (TNBC) murine models, we define tumor state-specific immune programs that distinguish metastatic competence. Tumors with metastatic capacity uniquely drive early bone marrow expansion of CXCR2 neutrophils, which infiltrate primary tumors acquiring a CXCL2-producing phenotype that promotes EMT-associated cancer stem cell (CSC) plasticity. This program depends on TGF-{beta}/CEBPD-mediated induction of S100A9. Elevated CXCL2, together with G-CSF, establishes a feed-forward circuit that drives systemic neutrophil mobilization and recruitment to distant organs, where neutrophil-derived S100A8/A9 (calprotectin) promotes MET-driven CSC outgrowth and metastatic colonization. Clinically, gene signatures associated with CXCR2 neutrophils predict poor survival in TNBC patients, whereas monocyte/macrophage (CX3CR1) and T cell activation signatures correlate with improved outcomes. S100A9 ablation disrupts this cascade and enhances immunotherapy responsiveness, defining a TGF-{beta}/S100A9/CXCR2 axis linking immune remodeling, CSC plasticity and metastasis. HighlightsO_LIMetastatic TNBC engages a TGF-{beta}/C/EBP{delta}/S100A9 axis that expands CXCR2 neutrophils C_LIO_LINon-invasive EMT6 tumors retain a CX3CR1 monocyte/macrophage and T-cell landscape C_LIO_LICXCR2+ neutrophils in pre-metastatic niches suppress T cell response while promoting tumor cell proliferation C_LIO_LIS100A9 loss redirects myelopoiesis and potentiates anti-PD-L1 in TNBC models C_LI In BriefAlkan et al. dissect how tumor state programs the myeloid compartment in TNBC. Metastatic 4T1 tumors uniquely engage a TGF-{beta}/C/EBP{delta}/S100A9 axis driving CXCR2 neutrophil expansion and CXCL2/G-CSF-dependent systemic mobilization, coupling immune remodeling to EMT/MET cancer-stem-cell plasticity, while S100A9 loss restores CX3CR1 myeloid identity and unlocks checkpoint-inhibitor responsiveness.

cancer biology↗

bioRxiv2026

Genetic Code Expansion for Site-Specific Encoding of a Switchable, Intrinsic Fluorophore-Quencher Pair to Monitor Protein Dynamics

Precisely modifying proteins at multiple sites in their native, folded structures offers unique opportunities to answer molecular and cellular-level biological questions. Here, we present a genetic code expansion strategy for site-specific integration of a fluorophore-quencher pair comprising two non-canonical amino acids--acridonylalanine (Acd) and methyltetrazinyl phenylalanine (Tet) -- into a protein expressed in E. coli. The Acd and Tet pair requires no post-translational labeling, and quenching can be switched off by biorthogonal or photochemical reactions of Tet for convenient internal control experiments. Mechanistic studies based on Stern-Volmer quenching, fluorescence lifetime measurements, and "proline ruler" peptides established the distance dependence of quenching. As proof-of-concept, we applied this strategy to study: 1) calmodulin, a calcium-sensing protein, 2) RecA, a DNA damage sensor in bacteria, and 3) LexA, a transcriptional repressor whose activation by RecA governs acquired antibiotic resistance in bacteria. Using these proteins, we demonstrate that dual Acd/Tet labeling provides molecular-level insights into protein dynamics, enables high-throughput drug screening, and advances tools for studying protein structure-function relationships.

biochemistry↗

bioRxiv2026

Conservation rescued the Mauritius kestrel from extinction but not from genomic erosion

Conservation can prevent species extinction via demographic recovery, yet it remains debated whether this translates into genomic recovery and restored fitness. The Mauritius kestrel (Falco punctatus) declined to four known wild birds in 1974 before intensive management recovered the population. Using 130 genomes spanning nearly 200 years, lifetime reproductive success data, and simulations, we reconstructed genomic change across the species collapse and recovery. Long-term small population size had already removed some harmful variation before the crash, a process expected to buffer populations from severe inbreeding depression. Yet the recent bottleneck sharply increased inbreeding, exposed additional harmful variants, and left a signature of genomic erosion associated with reduced reproductive success. The long conservation history of the Mauritius kestrel shows how population collapse and recovery can leave a compounding genetic threat, in which partial genetic purging, continuing genomic erosion, and conservation dependence unfold together in rescued species.

evolutionary biology↗

bioRxiv2026

Fibulin-2 transduces a matrix-to-metabolism signal in kidney fibrosis

Fibrotic extracellular matrix (ECM) is not merely a structural scaffold but an instructive signaling interface that shapes epithelial cell state. However, the molecular cues by which matrix remodeling controls tubular metabolism during kidney fibrosis remain poorly defined. Here, we identify Fibulin-2 (FBLN2) as a fibroblast-derived matrix cue that transduces fibrotic ECM remodeling into tubular mitochondrial metabolic reprogramming. Using fibroblast-selective deletion of Smoothened (Smo) across distinct fibroblast subpopulations, we found that loss of fibroblast Smo preserved kidney function and attenuated fibrosis in mouse models of chronic kidney injury. Multi-omics profiling revealed coordinated remodeling of the fibrotic matrisome, highlighted by suppression of FBLN2, an ECM glycoprotein genetically linked to kidney function in humans. Mechanistically, FBLN2 engaged EGFR in tubular epithelial cells and activated EGFR-AKT signaling in a non-canonical ligand-like manner. This signaling axis suppressed acetyl-CoA acetyltransferase 1 (ACAT1), a mitochondrial regulator of fatty acid oxidation and amino acid metabolism. Disruption of fibroblast Smo-FBLN2 signaling restored ACAT1-dependent oxidative metabolism and reduced tubular fibrotic activation. Spatial lipidomics revealed compartment-specific lipid remodeling associated with altered mitochondrial fatty acid metabolism, including acylcarnitine and phospholipid changes linked to reduced fibrotic injury. Together, these findings define a Fibulin-2-EGFR-ACAT1 matrix-to-metabolism signaling axis that couples fibrotic ECM remodeling to tubular mitochondrial metabolism during kidney fibrosis.

cell biology↗

bioRxiv2026

Sea-level and climate changes drive lineage diversification in the imperiled Venus flytrap (Dionaea muscipula J. Ellis, Droseraceae)

Venus flytrap (Dionaea muscipula) is an insectivorous plant in the monotypic genus Dionaea, endemic to the Southeastern United States, and found in a small geographic range in North and South Carolina. Its unique morphology and natural history have intrigued biologists for centuries, yet the evolution of populations has not been adequately characterized. Population decline, driven primarily by disruptive land conversion, fire suppression, and illegal harvesting/poaching underscores the urgency of defining the genetic diversity in the present population to guide species conservation. We applied a genome-wide SNP dataset to analyze admixture and population structure and used coalescent modeling to trace the ancestry and migration of geographically distinct population clusters. Our population dynamics model supports four lineages, with the North Cape Fear Arch lineage as the ancestor of all lineages and two genetically distinct Sandhills lineages derived from the South Cape Fear Arch lineage independently at [~]13 Ma and [~]3 Ma, respectively, during peak climate optima periods and maximal sea level rise. Severe population decline events occurred among all lineages, with two ancient instant bottleneck population decline events in Sandhills lineages and two recent ones in the two Cape Fear Arch lineages, which contributed to the current genetic structure. Shorter peduncle lengths in Sandhills populations correspond with suspected local adaptation to Sandhills habitats.

evolutionary biology↗

bioRxiv2026

Data-Efficient Exploration of Enzyme Function Using Family-Specific Machine Learning

Enzymes are essential biocatalysts across diverse industries, driving demand for high-performing variants. Foundation models are attractive for guiding enzyme discovery, but often lack the resolution to model subtle variations driving function within homologous families. Navigating these rugged functional landscapes to identify elite variants remains challenging and experimentally costly, even when guided by such models. Here we show that coupling dense, family-specific experimental screening with targeted, sequence-based deep learning provides a data-efficient discovery strategy. We experimentally screened 1,513 natural homologues from an esterase superfamily (>7,500 assays) and used this functional landscape to train task-specific models that predict activity, thermostability, and substrate specificity from sequence alone. Prospective experimental validation of previously untested sequences demonstrated that these task-specific models significantly outperformed generalist pre-trained and physics-based models in enriching for target traits. Residue-level attribution further indicated that the models captured sequence patterns consistent with underlying structural features. Finally, retrospective simulations showed that iterative retraining compresses the search space, discovering 60% of top-tier hits using nearly half the samples required by pre-trained baseline models. Together, these results highlight that machine learning can provide mechanistic insight, and that integrating targeted data acquisition with iterative machine learning provides a more data-efficient discovery strategy than relying on generic model scale.

bioengineering↗

bioRxiv2026

Dimensionally traceable 3D microstructures for multimodal microscope calibration

High-resolution microscopy techniques are used across research and industry to analyse biological systems, from biomolecules to subcellular organelles, multicellular models and tissues. As multimodal imaging workflows and quantitative analysis of bioimaging data become increasingly widespread, there is a growing need for materials and methods to calibrate imaging systems and evaluate the fidelity of generated image data. Here, we present three-dimensional microscopy phantoms fabricated using two-photon photolithography from transparent resins that exhibit both broadband visible autofluorescence and Raman scattering across the fingerprint and C-H stretching regions. Suitable for analysis using optical profilometry, the phantoms were dimensionally calibrated with SI traceability using a metrological confocal microscope. Immersible in air and common aqueous imaging media, the phantoms are compatible with a wide variety of optical microscopy techniques, including one and two-photon excited fluorescence and coherent Raman scattering microscopy. We employed a forked wedge design to validate image deconvolution results and a stacked lattice phantom to recover image distortion matrices under realistic biological imaging conditions. We demonstrate the impact of correcting chromatic offsets and axial scaling errors for a representative application: analysis of a cell seeded scaffold using confocal laser scanning fluorescence microscopy. These phantoms provide a versatile platform for calibration, quality control and validation of multimodal imaging pipelines and improved quantitative optical microscopy.

bioengineering↗

bioRxiv2026

Dispersal, adaptation and persistence of H5N1 in the sub-Antarctic and Antarctica

High pathogenicity avian influenza virus (HPAIV) H5N1 reached the sub-Antarctic and Antarctica in 2023, subsequently spreading to remote locations within this region where it had devastating impacts on seal, penguin and albatross populations. The threat to marine wildlife over this broad area exemplifies the need to understand H5N1 long-distance dispersal and evolution. We obtained 104 novel viral genomic sequences from samples that we collected at South Georgia, Kerguelen, Crozet, Prince Edward, Falklands/Malvinas Islands and the Antarctic Peninsula in a region spanning 8,000 kilometers. Using recent phylogeographic modeling advances we show that H5N1 spread encompassed numerous transmission events between distant locations, accumulating mammalian-adaptive mutations in the process. Seals are the most affected species, but we reveal that the long-distance eastward virus dispersal better aligns with the long-distance movements of large petrels and albatrosses. The risk of H5N1 endemisation, dispersal to other locations and ongoing evolution are highly concerning.

microbiology↗