Biology subjects

Harris, L.

Publications and source records attributed to Harris, L..

At least 19 recordsLinked to original sources

bioRxiv2026

Microbial community response and recovery through an aeration-cessation time series in a eutrophic estuary

Eutrophication-driven hypoxia and harmful algal blooms are an expanding threat to water quality in estuaries. Engineered aeration is a technology used in freshwater and, to a lesser extent, estuarine systems to mitigate both hypoxia and algal blooms. However, the efficacy of engineered aeration has not been well studied within estuarine ecosystems and very little is known about the impact of aeration on microbial communities in either estuarine or freshwater environments. Here we present a time series investigation of microbial community response to aeration and cessation of aeration in a eutrophic estuary. Samples for 16S rRNA gene analysis were collected over about a month-long period during which time the aerators transitioned from being "on" to "off" to "on" again. Cessation of aeration selected for the dominance of a eukaryotic algae similar to Heterosigma akashiwo. After the resumption of aeration, H. akashiwo dominance decreased rapidly. Cessation of aeration also shifted the structure of the entire microbial community, where diversity decreased and the structure of microbial communities at the surface diverged from those from the bottom of the water column. These changes did not occur at non-aerated control sites. Distinct groups of taxa responded to the disruption in a successional pattern through time, with most taxa never returning to their pre-aeration-cessation abundance during the observational period. These findings demonstrate the complex community response to anthropogenic interventions and provide support for bloom suppression through aeration.

microbiology↗

bioRxiv2026

AI semantics for biomedical data integration

Researchers increasingly need to explore hypotheses that span multimodal data across different scales, organisms, and domains. In practice, this requires connecting knowledge across fragmented databases with incompatible APIs and heterogeneous annotation practices. Large language model (LLM) agents can automate this data integration process, but grounding LLM agent outputs in scientifically correct sources of truth remains a significant challenge. Here we describe our deployment of a novel AI semantics workflow using LLM agents to enable scalable data integration, grounded in biological knowledge in the form of ontologies. Our workflow comprises (1) a multi-agent system curating scientific knowledge across ontologies using the Ontology Lookup Service (OLS) as grounding; (2) an LLM embedding service to enable interoperability between scientific databases by mapping ontology terms; and (3) GrEBI, a knowledge graph and Model Context Protocol (MCP) server enabling LLM agents to conduct cross-cutting, multi-omic biomedical queries.

bioinformatics↗

bioRxiv2026

Autophagy prevents ER stress-induced Tight Junction barrier disruption via claudin-2 homeostasis

Defective intestinal epithelial tight junction (TJ) barrier function and endoplasmic reticulum (ER) stress are central pathological features of inflammatory bowel disease (IBD), yet the molecular mechanisms ER stress to TJ disruption remains poorly understood. Here, we investigated the role of autophagy in regulating intestinal TJ homeostasis during ER stress. ER stress was elevated in inflamed Crohns disease tissue and chronic dextran sulfate sodium (DSS) colitis. In human intestinal epithelial Caco-2 monolayers, murine colon, and human colonic explants, induction of ER stress with tunicamycin, thapsigargin, or brefeldin A disrupted TJ barrier integrity, as demonstrated by reduced transepithelial electrical resistance and increased paracellular permeability. ER stress selectively increased the pore-forming TJ protein claudin-2 and altered occludin localization without significantly affecting other claudins. Pharmacologic activation of autophagy with rapamycin attenuated ER stress, restored TJ barrier function, reduced claudin-2 accumulation, and preserved occludin localization. Conversely, CRISPR-Cas9-mediated deletion of autophagy gene ATG7 exacerbated ER stress, apoptosis, and TJ barrier dysfunction in vitro, while intestinal epithelial-specific Atg7 knockout mice exhibited enhanced ER stress-induced intestinal permeability in-vivo. Mechanistically, prolonged ER stress impaired autophagic flux through IRE1 kinase signaling, resulting in accumulation of p62 and claudin-2. Inhibition of IRE1 kinase activity restored autophagy, reduced claudin-2 levels, and preserved TJ barrier function. We further identified adaptor-associated kinase 1 (AAK1) as a downstream mediator of IRE1 signaling during ER stress, with increased AP2M1 phosphorylation and altered claudin-2 trafficking. Claudin-2 overexpression alone induced ER stress and lysosomal damage, suggesting a feed-forward mechanism amplifying epithelial injury. Finally, enteric rapamycin administration reduced ER stress and restored autophagy in murine DSS colitis. Collectively, these findings identify an IRE1-AAK1-autophagy axis as a critical regulator of intestinal TJ barrier integrity during ER stress.

physiology↗

bioRxiv2026

Effects of Ankle Stiffness on Total Leg Kinematics, Mechanics, and Muscle Activation during Walking

PurposeAnkle stiffness can be altered by normal aging, bone and joint pathology, and treatments such as orthoses or surgical joint fusion. The effects of ankle stiffness on gait are not yet well understood but may be crucial for understanding how these pathologies and treatments influence body mechanics. The objective of this work was to investigate how isolated changes in stiffness applied in parallel with the ankle impact lower-limb kinematics, kinetics, joint work, and muscle activation during walking in individuals without lower-limb pathology. MethodsNine young adults without lower-limb pathology wore an adjustable-stiffness ankle exoskeleton and walked at 31 different conditions of ankle spring stiffness, neutral angle, and treadmill incline. We recorded motion capture data, ground reaction forces, and muscle activation, and analyzed the resultant data for trends as a function of ankle stiffness. ResultsExoskeleton-side ankle range of motion decreased and asymmetry increased across all joints as ankle stiffness increased, primarily due to decreased plantarflexion at toe-off. The 30 Nm/rad spring stiffness condition led to a minimum in mean exoskeleton-side muscle activation and hip joint work, but increased kinematic asymmetry. ConclusionOur results suggest that there may exist a range of stiffnesses at the lower end of typically-studied values that can reduce muscle activation and joint work during walking, though at the cost of kinematic symmetry. These findings provide a deeper understanding of how ankle stiffness influences gait mechanics, with potential applications in wearable devices, clinical rehabilitation, and assistive technology.

bioengineering↗

bioRxiv2026

Aberrant CD4+ T cell refeeding response impairs neuro-immune crosstalk in Parkinson's disease

T cells modulate disease associated neuroinflammation in Parkinsons disease (PD). We report that circulating CD4+ T cells from people with PD have a dysregulated transcriptional and cytokine response to fasting and refeeding and an altered metabolic profile. The CD4+ T cell secretome mediates a metabolic program in neurons that is impaired in PD, revealing dysfunctional neuro-immune signalling that may contribute to disease pathology.

neuroscience↗

bioRxiv2026

The Human Pleiotropic Map of GWAS Associations and Therapeutic Implications

Genetic support for drug targets substantially increases clinical success rates, establishing genome-wide association studies (GWAS) as central to therapeutic hypothesis generation. However, the same genetic evidence that reveals causal gene-disease relationships simultaneously exposes organism-level safety liabilities--a dimension requiring principled, genome-wide quantification. Here we systematically analyse 100,526 GWAS to yield 789,453 credible sets and gene prioritisations for 15,641 genes, with discovery showing no saturation as GWAS expand and increase diversity. We find that 64% of GWAS-implicated genes are pleiotropic, associated with traits across multiple diseases and showing a non-linear relationship between the degree of pleiotropy and clinical success. Highly pleiotropic genes--concentrated in immune, inflammatory, and oncogenic signalling programmes--are enriched in safety-terminated clinical programmes, mouse lethal knockouts, and cancer driver genes, establishing gene-level pleiotropy as a potential measure of genetically-informed organism-level safety liability. Protein-altering variant (PAV) support amplifies therapeutic signal (OR = 6.0), yet PAV targets show higher average pleiotropy, introducing a competing safety liability. Combining PAV support with intermediate pleiotropy (2-5 therapeutic areas) resolves this tension, yielding OR = 10.3 and relative success = 4.8--a profile already satisfied by 52 approved therapies. As GWAS continue to expand in scale and resolution, these findings lay the groundwork for increasingly sophisticated target discovery strategies that yield safer and more effective therapeutic hypotheses.

genomics↗

bioRxiv2026

An integrated RNA-centric imaging and omics approach reveals distinct properties and composition of neuronal RNA granules

RNA granules are essential regulators of post-transcriptional gene expression, enabling mRNA transport, localization, and local translation in neurons. The localized transcriptome is diverse; however, how different mRNAs are organized into granules for efficient localization and translation remains unknown. Here, we combine real-time endogenous single RNA imaging with protein and RNA proximity labeling to investigate two distinct endogenous neuronal mRNA granule populations, Actb and Arc, in stimulated primary hippocampal neurons. Using orthogonal RNA labeling systems in a dual knock-in mouse model, we show that Actb and Arc mRNAs are packaged into spatially segregated granules with distinct trafficking dynamics, localization kinetics, and responses to synaptic stimulation. Actb granules displayed rapid and sustained localization, whereas Arc granules showed delayed, transient recruitment, consistent with their respective roles in structural and activity-dependent plasticity. Proximity labeling reveals that these granules are distinct in their mRNA composition, despite sharing core RNA-binding proteins, suggesting that shared cis-regulatory elements within mRNA 3UTR regions drive selective co-packaging of mRNAs into unique granules. Together, these findings demonstrate that neuronal mRNAs are differentially sorted into molecularly and functionally distinct granules, providing a framework for understanding how precise spatio-temporal control of mRNA localization and translation is achieved across complex neuronal arbors.

neuroscience↗

bioRxiv2026

RSAD2/VIPERIN and CMPK2 Coordinate an Immunometabolic Response to Epstein-Barr Virus

Epstein-Barr Virus (EBV) infection and reactivation in B-lymphocytes is tightly regulated by host antiviral response genes. In the present study, we identify interferon stimulated genes RSAD2 (radical S-adenosyl methionine domain-containing 2) and CMPK2 (Cytidine/Uridine Monophosphate Kinase 2) as key modulators of EBV expression and cellular response during EBV infection and reactivation. EBV primary infection and reactivation lead to a coordinated up-regulation of RSAD2 and CMPK2. Depletion of RSAD2 reduced cell viability and limited EBV reactivation, while depletion of CMPK2 led to reactivation of EBV lytic gene expression during latency. Transcriptomic analysis revealed that RSAD2 and CMPK2 have overlapping functions in regulating IFN-signaling pathways, as well as oxidative phosphorylation, protein translation, and unfolded protein response during reactivation. Despite distinct subcellular localizations, RSAD2 at the Endoplasmic Reticulum (ER), and CMPK2 in mitochondria, both genes converge on shared immunometabolic pathways, including control of Gasdermin D (GSDMD) associated pyroptosis and ATF-4 associated unfolded protein response (UPR). EBV reactivation induced formation of antiviral ribonucleotide ddhCTP during lytic EBV reactivation which was strictly dependent on RSAD2. Knockdown of RSAD2 and CMPK2 had significant effects on global metabolites consistent with a remodeling of glycolysis, fatty acid biosynthesis and degradation of superoxides. These observations demonstrate that RSAD2-CMPK2 function in a coordinated ER-mitochondria stress-Interferon signaling axis that shapes EBV reactivation and host immune control, including a novel layer of immunometabolic regulation modulating viral latency and reactivation. Authors SummaryUnderstanding how Epstein-Barr virus (EBV) regulates host factors to control infection, latency and reactivation is critical for developing targeted therapies against EBV-associated diseases. This study identifies Interferon Stimulated Genes RSAD2 (Viperin) and CMPK2 as key regulators of EBV reactivation and host interferon responses in B-cells. Despite distinct organelle localizations, both genes converge on a shared immunometabolic pathways, revealing a coordinated ER-mitochondria axis that shapes viral expression and immune signaling. These findings provide new insights into the roles of host antiviral effectors and uncover potential targets for modulating EBV activity in inflammatory and oncogenic contexts.

microbiology↗

bioRxiv2025

Cortical microglia promote noradrenergic signaling to maintain wakefulness

Microglia are essential for maintaining brain homeostasis, including the sleep-wake cycle, but the underlying mechanisms remain unclear. Here, using in vivo two-photon imaging in both head-fixed and freely moving mice with simultaneous electroencephalogram-electromyogram (EEG-EMG) recording, we investigated microglial process dynamics and their interactions with locus coeruleus (LC) noradrenergic (NE) axons in the frontal cortex across sleep-wake states. During sleep or chemogenetic suppression of LC neurons, microglia enhanced their surveillance and increased interactions with NE axons. Correlative electron microscopy at nanometer resolution identified structural contacts between microglial process endings and NE boutons. Mechanistically, microglia-bouton interaction is primed by NE-{beta}2-adrenergic receptor ({beta}2AR) signaling, leading to enhanced Ca{superscript 2} activity in NE axons. These findings suggest that microglial interactions with NE axons promote cortical norepinephrine transmission and maintain stable wakefulness.

neuroscience↗

bioRxiv2025

Late-Onset Preeclampsia is characterised by Accelerated Placental Aging

Late-onset preeclampsia (LOPE) is a major pregnancy complication characterised by hypertension and placental dysfunction, resolving only upon delivery. Here, we show that LOPE placentae undergo accelerated molecular aging, marked by telomere attrition, DNA damage and trophoblast senescence. Using primary placental tissue and trophoblast organoids, we demonstrate oxidative stress as a driver of telomere shortening and angiogenic imbalance. Inflammation did not alter placental aging trajectories. Antioxidant treatment (superoxide dismutase) preserved telomere length, reduced DNA damage and restored angiogenic balance, highlighting oxidative stress as a modifiable determinant of placental aging. We identify reduced expression of telomeric repeat-containing RNAs (TERRAs) as a molecular hallmark of LOPE, and show that antisense oligonucleotide-mediated TERRA depletion exacerbates telomere erosion and senescence. Together, these findings delineate oxidative stress and TERRA loss as mechanisms driving placental decline, establish trophoblast organoids as a tractable model of placental aging, and reveal potential therapeutic avenues for mitigating preeclampsia-associated placental dysfunction.

developmental biology↗

bioRxiv2025

Conservation units for anadromous Arctic Char (Salvelinus alpinus) in the Canadian Arctic informed by genetic structure, population connectivity and adaptive genomic variation

Intraspecific genetic diversity is a crucial aspect of biodiversity conservation as it preserves evolutionary potential and enhances resilience to environmental change. Genomic-informed delineation of Conservation Units (CUs) offers ways of subdividing species into groups based on historical isolation and adaptive differentiation, to develop biologically relevant conservation and management policies. CUs have been defined in many species of harvested anadromous salmonids, but broad scale data remains lacking in the Canadian Arctic, where anadromous Arctic Char (Salvelinus alpinus) dominates catches in Indigenous-led subsistence and commercial fisheries. In this study, we use low-coverage whole-genome data from 30 Canadian populations of Arctic Char to define CUs based on population structure and connectivity, as well as adaptive genetic variation. We highlight two main genetic groups, each of which comprises three subgroups, or candidate CUs: the North (above the 67th parallel), including the North Baffin Island, Kitikmeot, and Inuvialuit Settlement Region CUs; and the South (below the 67th parallel), including the South Baffin Island, Ungava Bay, and Hudson Bay CUs. This delimitation is supported by areas of low effective migration between candidate CUs, as well as isolation-by-environment, which suggests adaptive differentiation. Finally, we discuss opportunities and caveats relating to linkage when identifying adaptive genetic variation from whole genome sequencing data through genome scans and Gene-Environment Associations.

evolutionary biology↗

bioRxiv2025

How the characteristics of a virtual environment affects the perception of travel distance through it

Although simulated self-motion through virtual environments has been widely used to investigate perceptual odometry, the characteristics of the virtual environments used, and the reported results have varied greatly. Here, we systematically vary the characteristics of the environment through which observers are moved in order to explore the effect of (1) the structure of an environment including the presence and texture of a ground surface, (2) the naturalism and scale of an environment, (3) colour, and (4) the density of a starfield and how it might affect perceived travel distance. In all four experiments, participants were visually moved forwards through a virtual environment and perceived travel distance was estimated by either (1) stopping at the location of a previously seen target (the Move-To-Target Task) or (2) adjusting the position of a target to indicate a previously travelled distance (the Adjust-Target Task). Data were analyzed in terms of gain (perceived travel distance/actual travel distance). Results show no significant differences that depended on the structure of an environment or on the presence or absence of a ground surface (Experiment 1), or on the naturalism of the environment (Experiment 2), or on whether the environment was in colour or in black and white (Experiment 3). However, there was a small effect of the texture of the ground surface and of the scale of the environment. In Experiment 4, we show that there may be a very low ceiling effect in the density of a starfield needed to accurately estimate travel distance. Together these experiments have implications for the design of real and virtual environments where perceived motion is important and will enable us to further predict our perception of moving through an environment.

neuroscience↗

bioRxiv2025

Shared molecular regulation of quiescence in neural and glioma stem cells reveals therapeutic vulnerabilities.

Quiescence, a reversible state of cell-cycle arrest, is an adaptive feature of many adult tissue stem cells, including those in the adult brain. In gliomas, brain tumour stem cells that reside in a quiescent state preferentially survive chemotherapy and radiotherapy, highlighting their critical role in therapy resistance and disease progression. To date, it remains unclear whether the molecular programs governing these states are functionally conserved between neural stem cells and brain tumour stem cells. Here, we establish novel in vitro models to study quiescence and find that glioma stem cells are markedly more resistant to entering quiescence than neural stem cells, suggesting that glioma stem cell quiescence more closely resembles a slow-cycling phenotype or shallow quiescence. Nonetheless, direct comparison of quiescent neural stem cells and quiescent/slow-cycling glioma stem cells, as they transition towards proliferation, reveals conserved gene expression trajectories, indicating shared molecular mechanisms. Furthermore, we find that pathways influencing quiescence in neural stem cells exert similar effects in glioma stem cells, underscoring the functional parallels between these populations. Finally, we identify that inhibition of TGF-{beta} signalling might provide an avenue to improve current standard-of-care treatments by targeting quiescent glioma stem cells. Note on version 2This version corrects two figure errors and expands the Methods. The conclusions of are unchanged. ImagesIn version 1, debris adjacent to the organoid had been digitally removed from the drug-treated image in Figure 6D. The unmodified original is restored here. Images within Figures 3A and 6D have each been processed identically to one another. Scattered cellular debris was present to a similar extent in control and drug-treated samples. O_FIG O_LINKSMALLFIG WIDTH=153 HEIGHT=200 SRC="FIGDIR/small/634421v2_fig6.gif" ALT="Figure 6"> View larger version (51K): org.highwire.dtl.DTLVardef@19aef83org.highwire.dtl.DTLVardef@e2c1e1org.highwire.dtl.DTLVardef@126bf22org.highwire.dtl.DTLVardef@ce7acd_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 6:C_FLOATNO TGF--R1 inhibition drives GSCs out of a quiescent state. (A) QBC395 cells were cultured in BMP4 quiescence media plus inhibitors for three days. Graphs show percentage of proliferating GSCs (SOX2+Ki67+) over total GSCs (SOX2+). Data were normalised to mean of quiescence media alone. (B) QBC395 cells were cultured in palbociclib quiescence media plus inhibitors for three days. Graphs show proportion of proliferating GSCs (SOX2+Ki67+) over total GSCs (SOX2+). Data were first normalised to vehicle control for each independent experiment and then quiescence media alone. (C) Schematic of glioblastoma organoid generation. Experiments began within 1-2 weeks of derivation to maximise cellular heterogeneity. Protocol adapted from Jacob and colleagues (60). (D) Image of glioblastoma organoid treated with 30 {micro}M LY-364397 or DMSO vehicle (control) for three days, stained for SOX2 (cyan) and Ki67 (magenta). Dashed lines demarcate organoid boundary. Scale bar: 100 {micro}m. Scattered cellular debris was observed in both control and drug-treated samples to a similar extent. (E) Proportion of proliferating GSCs (SOX2+Ki67+) over total GSCs (SOX2+) after glioblastoma organoids were cultured in the presence of inhibitors. Data were normalised to mean of respective vehicle control. Graphs in (A, B, E) show mean {+/-} SEM. Experiments in (A, B) represent independent experiments on separate passages (n=3-4). Dots in (E) represent individual organoids. Statistics: one-way repeated measures ANOVA with Holm-Sidaks multiple comparisons test in (A, B). Two-way ANOVA in (E) with multiple comparisons t-test. *P < 0.05, **P < 0.01, ***P < 0.001. Panel C created with BioRender (Agreement number: FY289ELRZ5). C_FIG O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=52 SRC="FIGDIR/small/634421v2_fig3.gif" ALT="Figure 3"> View larger version (21K): org.highwire.dtl.DTLVardef@1e04d0corg.highwire.dtl.DTLVardef@e25e26org.highwire.dtl.DTLVardef@1934ab0org.highwire.dtl.DTLVardef@10c77fb_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 3:C_FLOATNO BMP4 and palbociclib treatment induces patient-derived GSCs into shallow versus deep states of quiescence, respectively. (A) Treatment with 16 ng/mL BMP4 markedly reduces the proportion of proliferating NSCs (SOX2+Ki67+) in primary adult mouse SVZ cultures. (B) Treatment with 16 ng/mL BMP4 modestly reduces the proportion of proliferating GSCs (SOX2+Ki67+) in primary patient-derived cultures (QBC395 cell line). (C) Concentration-response curve of mouse NSCs and patient-derived GSCs (QBC395 cell line) treated with BMP4, measuring proportion of proliferating stem cells (SOX2+Ki67+) relative to control media. Data were normalised to mean of control. (D) Palbociclib treatment markedly reduces the proportion of proliferating GSCs (SOX2+Ki67+) relative to control media. Data were normalised to mean of control. GSC graphs in (C, D) show mean {+/-} SEM of independent experiments conducted on separate passages (n=3-4). NSC graph in (C) shows mean {+/-} SEM of individual cell lines derived from SVZ of different mice (n=4). Scale bar: 15 {micro}m in (A, B). Cross in (D) represents concentration-response at 200 nM. Statistics in (C): two-way ANOVA reporting main effect of cell-line. C_FIG DataThe glioblastoma organoid data in Figure 6E have been updated following re-imaging and blinded re-analysis. Reported effect sizes have changed slightly; the conclusions are unchanged. Figure S2 has likewise been updated following re-imaging and re-analysis. MethodsThe Methods have been expanded to describe the analysis more fully, including data exclusion criteria, normalisation, and blinding. Minor changes to figure legends and the main text are not itemised.

cancer biology↗

bioRxiv2024

Leveraging whole genomes, mitochondrial DNA, and haploblocks to decipher complex demographic histories: an example from a broadly admixed arctic fish

The study of phylogeography has transitioned from mitochondrial haplotypes to genome-wide analyses, blurring the line between this field and population genomics. Whole-genome sequencing offers the opportunity to join use both and provides the density of markers necessary to investigate genetic linkage and recombination along the genome. This facilitates the unraveling of complex demographic histories of admixture between divergent lineages, as is often the case in species evolving in recently deglaciated habitats. In this study, we sequenced 1120 Arctic Char genomes from 33 populations across Canada and Western Greenland to characterize patterns of genetic variation and diversity, and how they are shaped by hybridization between the Arctic and Atlantic glacial lineages. Several lines of evidence supported mito-nuclear discordance in lineage distribution, with all Canadian populations under the 66th parallel being characterized by introgression from the Atlantic lineage, leading to higher nuclear genetic diversity. By scanning the genome using local PCAs, we identified putative low-recombining haploblocks as local ancestry tracts from either lineage and described the impacts of recombination on the introgression landscape in admixed populations. Finally, we inferred conflicting origins of recolonization using whole genomes vs. ancestry tracts for the Arctic lineage, suggesting that haplotypes sheltered from introgression by low recombination could enlighten complex post-glacial histories. Overall, we argue that Whole-Genome Sequencing, even at low depths of coverage, provides a versatile approach to the study of phylogeographic dynamics.

evolutionary biology↗

bioRxiv2024

Home range spillover in habitats with impassable boundaries: Causes, biases, and corrections using autocorrelated kernel density estimation

O_LIAn animals home range plays a fundamental role in determining its resource use and overlap with conspecifics, competitors and predators, and is therefore a common focus of movement ecology studies. Autocorrelated kernel density estimation addresses many of the shortcomings of traditional home range estimators when animal tracking data is autocorrelated, but other challenges in home range estimation remain. C_LIO_LIOne such issue is known as spillover bias, in which home range estimates do not respect impassable movement boundaries (e.g., shorelines, fences), and occurs in all forms of kernel density estimation. While several approaches to addressing spillover bias are used when estimating home ranges, these approaches introduce bias throughout the remaining home range area, depending on the amount of spillover removed, or are otherwise inaccessible to most ecologists. Here, we introduce local corrections to home range kernels to mitigate spillover bias in (autocorrelated) kernel density estimation in the continuous time movement model (ctmm) package, and demonstrate their performance using simulations with known home range extents and distributions, and a real world case study. C_LIO_LISimulation results showed that local corrections minimised bias in bounded home range area estimates, and resulted in more accurate distributions when compared to commonly used post-hoc corrections, particularly at small-intermediate sample sizes. C_LIO_LIComparison of the impacts of local vs post-hoc corrections to bounded home ranges estimated from lake trout (Salvelinus namaycush) demonstrated that local corrections constrained bias within the remaining home range area, resulting in proportionally smaller home range areas compared to when post-hoc corrections are used. C_LI

ecology↗

bioRxiv2024

Sequential transcriptional programs underpin activation of quiescent hippocampal stem cells.

Postnatal neural stem cells are primarily quiescent, which is a cellular state that exists as a continuum from deep to shallow quiescence. The molecular changes that occur along this continuum are beginning to be understood but the transcription factor network governing these changes has not been defined. We show that these transitions are regulated by sequential transcription factor programs. Single-cell transcriptomic analyses of mice with loss- or gain-of-function of the essential activation factor Ascl1, reveal that Ascl1 promotes the activation of hippocampal neural stem cells by driving these cells out of deep quiescence, despite its low protein expression. Subsequently, during the transition from deep to shallow quiescence, Ascl1 induces the expression of Mycn, which drives progression through shallow states of quiescence towards an active state. Together, these results define the required sequence of transcription factors during hippocampal neural stem cell activation.

neuroscience↗

bioRxiv2024

The Unified Phenotype Ontology (uPheno): A framework for cross-species integrative phenomics

Phenotypic data are critical for understanding biological mechanisms and consequences of genomic variation, and are pivotal for clinical use cases such as disease diagnostics and treatment development. For over a century, vast quantities of phenotype data have been collected in many different contexts covering a variety of organisms. The emerging field of phenomics focuses on integrating and interpreting these data to inform biological hypotheses. A major impediment in phenomics is the wide range of distinct and disconnected approaches to recording the observable characteristics of an organism. Phenotype data are collected and curated using free text, single terms or combinations of terms, using multiple vocabularies, terminologies, or ontologies. Integrating these heterogeneous and often siloed data enables the application of biological knowledge both within and across species. Existing integration efforts are typically limited to mappings between pairs of terminologies; a generic knowledge representation that captures the full range of cross-species phenomics data is much needed. We have developed the Unified Phenotype Ontology (uPheno) framework, a community effort to provide an integration layer over domain-specific phenotype ontologies, as a single, unified, logical representation. uPheno comprises (1) a system for consistent computational definition of phenotype terms using ontology design patterns, maintained as a community library; (2) a hierarchical vocabulary of species-neutral phenotype terms under which their species-specific counterparts are grouped; and (3) mapping tables between species-specific ontologies. This harmonized representation supports use cases such as cross-species integration of genotype-phenotype associations from different organisms and cross-species informed variant prioritization.

bioinformatics↗

bioRxiv2024

Imputation of cancer proteomics data with a deep model that learns from many datasets

Missing values are a major challenge in the analysis of mass spectrometry proteomics data. Missing values hinder reproducibility, decrease statistical power for identifying differentially expressed (DE) proteins and make it challenging to analyze low-abundance proteins. We present Lupine, a deep learning-based method for imputing, or estimating, missing values in tandem mass tag (TMT) proteomics data. Lupine is, to our knowledge, the first imputation method that is designed to learn jointly from many datasets, and we provide evidence that this approach leads to more accurate predictions. We validated Lupine by applying it to TMT data from >1,000 cancer patient samples spanning ten cancer types from the Clinical Proteomics Tumor Atlas Consortium (CPTAC). Lupine outperforms the state of the art for TMT imputation, identifies more DE proteins than other methods, corrects for TMT batch effects, and learns a meaningful representation of proteins and patient samples. Lupine is implemented as an open source Python package.

bioinformatics↗