Biology subjects

Harrison, S.

Publications and source records attributed to Harrison, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Environmentally-mediated yield effects of vernalization and photoperiod alleles in historic winter wheat trials

In common wheat (Triticum aestivum L.), variation at the Vrn1 and Ppd1 loci changes plant phenology, resulting in differential adaptation useful to breeders. Because the effects of phenology on grain yield are conditional on environmental factors, the incorporation of markers for Vrn1 and Ppd1 alleles into breeding approaches has proven difficult. Historic phenotypic, genotypic, and environmental data can provide insight into the relationship between major phenology alleles and grain yield as mediated by environmental variables. Analyses of eight years of breeding trials (1,038 lines at 219 site-years) determined that weak vrn1 alleles and Ppd1 insensitivity alleles have variable effects. These effects change depending on an environment's winter temperature and latitude, respectively, but the environmentally-driven changes in effect of vrn1 alleles are much more variable than effects of Ppd1 alleles. Mediation analyses showed phenologically-dependent environmental variables are one mechanism through which phenological changes created by vrn1 and Ppd1 variants alter yield across multiple developmental stages. Environmentally-driven relationships between flowering time and yield were modeled to estimate yield allele effects as a function of effects on phenology and environmental variables. Weak winter alleles at vrn1 may play a stabilizing role on yield, due to the correlation of winter conditions that drive larger effects with later-season warm temperatures that penalize later maturity. A better mechanistic understanding of how these loci drive environment-specific yield effects may facilitate utilization of markers for these alleles and improve predictive modeling of yield.

genetics↗

bioRxiv2026

Antibody feedback limits specific B-cell entry and alters germinal center repertoires by antibody-antigen complexes

Antibody (Ab) feedback impacts germinal center (GC) responses. Mice given IgG1 or IgG2c recombinant Ab (rAb) specific for the receptor binding site (RBS) of H3 hemagglutinin (HA) and later immunized with the H3 HA trimer exhibited altered GC repertoires. Passive RBS rAb had no effect on the magnitude of ensuing primary GC responses but reduced the numbers of RBS-specific GC B cells. These losses were matched by increases in "unspecific" B cells which did not bind the HA immunogen, with no changes in B cells specific for distal epitopes. These effects were independent of IgG subclass. Higher doses of passive rAb resulted in reduced epitope-specific affinity maturation and clonal proliferation in GCs. Passive rAb generated Ab:HA complexes and favored recruitment of rare HA-specific GC B cells with enhanced avidity for the rAb:HA immune complex (IC). We show that some no- and low-affinity GC B cells represent responses to local ICs.

immunology↗

bioRxiv2026

Elicitation of stem-directed antibodies in rhesus macaques by a conventional hemagglutinin immunogen

Because they can bind many strains of influenza, antibodies targeting the hemagglutinin (HA) stem have been attractive targets for vaccine development. Many monoclonal antibodies (mAbs) directed at the HA stem have been isolated from humans, and these mAbs have mediated broad protection in animal models. We describe here HA stem-directed mAbs isolated from rhesus macaques immunized with an "ordinary" H1 HA trimer. All immunized rhesus macaques developed high serum titers with broad reactivity to diverse H1N1 and H5N1 viruses, and 7 isolated mAbs strongly blocked canonical stem antibody CR6261 binding to H1. MAb DH726.1 robustly protected mice from lethal challenge with H1N1 and H5N1 viruses, and cryo-EM showed the binding footprint overlapped that of some human mAbs. These findings suggest that vaccination with the standard, trimeric HA immunogens may be sufficient to elicit stem antibodies at titers adequate to protect against zoonotic H5N1 influenza. In BriefEfforts to achieve broad influenza protection have largely emphasized increasingly sophisticated immunogen designs to redirect antibody responses toward conserved epitopes. Here, we show that a single, conventional HA immunogen readily elicits antibodies targeting the conserved HA stem, suggesting that routine influenza vaccination may provide broader protection than previously appreciated. HighlightsO_LIMonovalent HA immunization induces strong, stem-directed immune responses in rhesus macaques C_LIO_LIEpitope on the HA stem confirmed by Cryo-EM C_LIO_LIFc-mediated activation of immune effector cell by rhesus-derived stem mAb C_LIO_LIHA stem-directed antibody protects mice against H1N1 and H5N1 viruses C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=193 SRC="FIGDIR/small/738984v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@1535b59org.highwire.dtl.DTLVardef@192422dorg.highwire.dtl.DTLVardef@136b3d5org.highwire.dtl.DTLVardef@586fd4_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2026

Genome-Wide Markers Predict Metribuzin Tolerance in Southern Soft Red Winter Wheat

Metribuzin is a versatile herbicide effective against various annual grasses and broadleaf weeds found in wheat fields. However, it can cause foliar damage to wheat, impacting plant health and yield. A clearer understanding of the genetic architecture associated with metribuzin tolerance is necessary to guide marker-based breeding strategies. This study evaluated 351 historic Gulf Atlantic Wheat Nursery (GAWN) wheat breeding lines representative of southern US soft red winter wheat (SRWW) germplasm. Field trials were conducted at Winnsboro (WN) and Baton Rouge (BR), Louisiana, in 2016 and 2017. Metribuzin was applied at specific growth stages, and tolerance was assessed based on visual foliar damage. Genomic data from 6,252 filtered single nucleotide polymorphism (SNP) markers were used to estimate narrow-sense heritability, conduct genome-wide association (GWAS), and assess genomic prediction accuracy using genomic best linear unbiased prediction (GBLUP). Broad-sense heritability ranged from 0.54 to 0.69 within environments and reached 0.77 across environments, while narrow-sense heritability ranged from 0.35 to 0.47, indicating moderate additive genetic control. No SNP surpassed the significance threshold, but genomic prediction (GP) showed moderate to strong predictive ability (PA) across environments, with the highest accuracy (r = 0.62) observed between BR17 and WN17. These results indicate that metribuzin tolerance in SRWW is primarily controlled by multiple small-effect loci and that GS provides a more effective breeding strategy than marker-assisted selection for improving tolerance in southern wheat germplasm.

genomics↗

bioRxiv2026

Biotic modulators of global change effects on plant communities

Understanding and predicting future plant biodiversity and productivity is critical for prioritizing global change mitigation, conservation, and restoration efforts. One major challenge is that we know remarkably little of how interspecific interactions may modulate the effects of global change factors on diversity and productivity. Here, we develop and test a synthetic conceptual framework about how different biotic modulators (herbivory, plant-plant interactions, pathogens, mycorrhiza) can either amplify or mitigate the effects of global change drivers (nutrient and CO2 enrichment, changes in rainfall and temperature) on plant community biomass and diversity. We report that herbivores mitigated both biomass increment and diversity decline caused by different global change drivers, while plant competition did not significantly alter global change impacts due to mixed effects (both amplification and mitigation). Pathogens tended to function similarly to herbivores, while mycorrhiza both amplified and mitigated community responses. Our conceptual framework further identifies mechanisms by which species interactions can modify global change effects, provides new testable hypotheses, and identifies research gaps and future research directions. We conclude that plant consumers can be important agents stabilizing plant productivity and safeguarding plant biodiversity in the Anthropocene, while more research is urgently needed to understand the role of other biotic modulators.

ecology↗

bioRxiv2026

Maternal Trypanosoma cruzi infection is associated with significant placental remodeling regardless of vertical transmission

Chagas disease is a major protozoan infection in the Americas, causing approximately 12,000 deaths each year. It is caused by Trypanosoma cruzi, and can be transmitted transplacentally, leading to congenital Chagas disease, a silent route that carries substantial risk for newborns. However, the mechanisms underlying congenital Chagas transmission are poorly understood. Here, we evaluated whether T. cruzi infection alters the placental microenvironment and systemic physiology, and whether such alterations are associated with congenital transmission. Integrating bulk RNA sequencing, proteomics, and spatial transcriptomics, we show that T. cruzi infection elicits profound molecular remodeling in both placenta and peripheral blood, regardless of transmission status. Transmitting mothers exhibit a distinct transcriptional signature enriched for inflammatory and tissue-remodeling pathways. Notably, peripheral blood profiles mirrored some placental alterations. A panel of inflammatory serum proteins showed promising predictive potential for transmission risk, with implications for prenatal monitoring. Together, these findings support a fundamental shift in the conceptual framework of congenital Chagas disease, from a transmission-centered model to one that recognizes infection-driven placental damage as a pathological spectrum and identifies peripheral blood as a promising, non-invasive source of predictive biomarkers for adverse pregnancy outcomes. This framework motivates the further application of single-cell-resolution approaches to refine models of congenital Chagas pathogenesis and the systematic analysis of maternal peripheral blood during pregnancy to enable early risk stratification and the development of predictive tools for adverse outcomes.

molecular biology↗

bioRxiv2025

Rolling out plaque-2-sequence: a single plaque sequencing approach enabling rapid, low-cost sequencing of phages directly from plaques

Rapid, accurate, and scalable sequencing of bacteriophage genomes is critical to advance phage therapy, build phage biobanks and understand phage genomic diversity. Current methods are based on sequencing and assembling complete bacteriophage genomes using short- or long-read technologies. However, current protocols require large DNA input and are cost prohibitive which limits their application to phage collections that typically are large and have low-biomass. In order to address this we have developed plaque-2-sequence, a robust and cost-effective workflow for high-throughput phage genome sequencing that will transform the speed and cost of attaining phage genomes. Plaque-2-sequence combines low-input transposase-based library preparation, amplification, nanopore sequencing and optimised assembly steps tailored to phage genomes. We applied the method to phages isolated on seven genetically diverse bacterial hosts; Escherichia, Pseudomonas, Synechococcus, Enterococcus, Klebsiella , Serratia and Enterobacter. High quality genome assemblies were validated using CheckV and benchmarking against previously sequenced phage isolates. Compared to standard Illumina sequencing, plaque-2-sequence offers [~]10-fold savings in sequencing price for individual labs. Furthermore, it substantially decreases the time required to produce a phage genome, once a plaque is obtained. Offering the ability to routinely obtain hundreds of phage genome sequences a week, with minimal hands-on time. Plaque-2-sequence enables systematic genomic characterisation of phage isolates, facilitating taxonomic classification, for the development of large scale phage biobanks. Impact StatementHere we have optimised a method for high-throughput sequencing of bacteriophage genomes from single plaques (plaque-2-sequence). We present a robust, high-throughput and cost-effective workflow. Plaque-2-sequence combines low-input transposase-based library preparation, amplification, nanopore sequencing and optimised assembly steps tailored to phage genomes. We demonstrate the scalability of this approach by sequencing over 100 phages from multiple bacterial hosts. This marks a step-change for the field, allowing phage genome sequencing to keep pace with phage isolation rates, and transforming how rapidly we can explore and understand phage genomic diversity.

microbiology↗

bioRxiv2025

Invasive plants affect native plant pollination through pollinator-mediated cross-boundary effects

Invasive plants may facilitate or compete with native plants by changing the foraging behavior and/or abundance of shared pollinators. Such effects have been explored within single habitats; however, many pollinators are highly mobile and can cross ecological boundaries. Whether via shared pollinators, invasive plants affect native plants in neighboring habitats remains an open question. Here, we ask this question in a mosaic of 22 native-plant-dominated meadows on serpentine soil, embedded in a matrix of non-serpentine meadows. The non-serpentine meadows contain dense stands of two insect-pollinated invasive species: Vicia villosa, and Centaurea solstitialis. The serpentine meadows contain two common native species that co-flower and share pollinators with these invasives: Trifolium fucatum and Helianthus exilis, respectively. Across three years, we determined that the abundance ratio of each invasive species in the surrounding landscape to its co-flowering native species within focal patches was associated with decreased visitation rates, seed set, and functional importance in the plant-pollinator network for the native species. We conclude that invasive plants can have indirect, negative effects on native plants in neighboring habitats, via competition for shared pollinators. Open research statementAll data and code are accessible to the public via: https://figshare.com/projects/Data_for_Invasive_plants_affect_native_plant_pollination_through_pollinator-mediated_cross-boundary_effects/243587

ecology↗

bioRxiv2025

Untargeted Plasma Metabolomics in Canine Cognitive Dysfunction: The Naturally Occurring Alzheimer's Disease Analog in Dogs

IntroductionCanine Cognitive Dysfunction (CCD) is an increasingly prevalent naturally occurring neurodegenerative condition in senescent dogs that share neuropathological and clinical features with human Alzheimers disease (AD). Metabolic profiling allows for identification of new candidates for AD biomarkers, diagnostics, and therapeutics. Despite its translational potential, plasma metabolomic profiling of dogs with CDD has not been previously characterized. MethodsThis case-control study analyzed plasma samples from ten client-owned geriatric dogs, including five with severe CCD and five age-matched, clinically healthy controls. Untargeted plasma metabolomics was performed using ultra-performance liquid chromatography-mass spectrometry (UPLC-MS). Multivariate and univariate statistical analyses identified significant metabolic differences between the groups. Metabolites were considered significant based on a variable importance in projection (VIP) score > 1.5, fold change (FC) > 2.0, and adjusted p-value < 0.05. ResultsFifteen metabolites across seven chemical classes were significantly altered in CCD dogs compared to controls, including glycerophospholipids, steroid derivatives, indoles, and mitochondrial-related compounds. Notably, elevated lysophosphatidic acid (LPA 20:2/0:0) and reduced ubiquinone-2 levels suggest dysregulation in neuroinflammatory and oxidative stress pathways. Cholesterol exhibited the highest FC and VIP scores, further reinforcing its role in AD pathogenesis. Hierarchical clustering and pathway enrichment analyses supported distinct metabolic signatures in CCD that mirror those observed in human AD. DiscussionThis is the first untargeted plasma metabolomic profiling of dogs with CCD, revealing systemic metabolic disturbances that align with AD pathophysiology. Data was collected from senescent community-dwelling companion dogs, which enhances the studys ecological and translational relevance. It supports the utility of CCD as an AD model and highlight candidate plasma biomarkers that warrant further investigation. Future longitudinal studies integrating metabolomics with neuroimaging, histopathology, and behavioral assessments are required to validate these findings and contribute to AD biomarker discovery and therapeutic development.

neuroscience↗

bioRxiv2025

Fluorescence-barcoded cell lines stably expressing membrane-anchored influenza neuraminidases

The discovery of broadly protective antibodies to the influenza virus neuraminidase (NA) has raised interest in NA as a vaccine target. However, recombinant, solubilized tetrameric NA ectodomains are often challenging to express and isolate, hindering the study of anti-NA humoral responses. To address this obstacle, we established a panel of 22 non-adherent cell lines stably expressing native, historical N1, N2, N3, N9, and NB NAs anchored on the cell surface. The cell lines are barcoded with fluorescent proteins, enabling high-throughput, 16-plex analyses of antibody binding with commonly available flow cytometers. The cell lines were at least as efficient as a Luminex multiplex binding assay at identifying NA antibodies from a library of unselected clonal IgGs derived from human memory B cells. The cell lines were also useful for measuring the magnitude and breadth of the serum antibody response elicited by experimental infection of rhesus macaques with influenza virus. The membrane-anchored NAs are catalytically active and are compatible with established sialidase activity assays. NA-expressing K530 cell lines therefore represent a useful tool for studying NA immunity and evaluating influenza vaccine efficacy.

immunology↗

bioRxiv2024

A coordinated kinase and phosphatase network regulates Stu2 recruitment to yeast kinetochores

Cells coordinate diverse events at anaphase onset, including separase activation, cohesin cleavage, chromosome separation, and spindle reorganization. Regulation of the XMAP215 family member and microtubule polymerase, Stu2, at the metaphase-anaphase transition determines a specific redistribution from kinetochores to spindle microtubules. We show that cells modulate Stu2 kinetochore-microtubule localization by Polo-like kinase1/Cdc5-mediated phosphorylation of T866, near the Stu2 C-terminus, thereby promoting dissociation from the kinetochore Ndc80 complex. Cdk/Cdc28 likely primes Cdc5:Stu2 interaction. Cdc28 activity is also required for Stu2 nuclear import. PP2ACdc55 actively opposes Cdc5 activity on Stu2T866 during metaphase. This counter-regulation allows for switchlike redistribution of Stu2pT866 at anaphase onset when separase inhibits PP2ACdc55. Blocking Stu2T866 phosphorylation disrupts anaphase spindle progression, and we infer that PP2ACdc55 regulates the mitotic spindle by dephosphorylating Stu2 and other MAPs. These data support a model in which increased phosphorylation at anaphase onset results from phosphatase inhibition and point to a larger regulatory network that facilitates rapid cytoskeletal modulation required for anaphase spindle maintenance. SUMMARYStu2 displays dynamic localization patterns in the cell cycle, with different kinetochore and microtubule distribution during distinct phases. Phosphorylation near Stu2s C-terminus reduces its attachment to kinetochores to promote its microtubule activity in anaphase. Cdc5 and PP2ACdc55 play counteracting roles in this pathway to promote proper timing of Stu2 phosphorylation.

cell biology↗

bioRxiv2024

A general model for the seasonal to decadal dynamics of leaf area

Leaf phenology, represented at ecosystem scale by the seasonal dynamics of leaf area index (LAI), is a key control on the exchanges of CO2, energy and water between the land and atmosphere. Robust simulation of leaf phenology is thus important for both dynamic global vegetation models (DGVMs) and land-surface representations in climate and Earth System models. There is no general agreement on how leaf phenology should be modelled. However, a recent theoretical advance posits a universal relationship between the time course of "steady-state" gross primary production (GPP) and LAI - that is, the mutually consistent LAI and GPP that would pertain if weather conditions were held constant. This theory embodies the concept that leaves should be displayed when their presence is most beneficial to plants, combined with the reciprocal relationship of LAI and GPP via (a) the Beers law dependence of GPP on LAI, and (b) the requirement for GPP to support the allocation of carbon to leaves. Here we develop a global prognostic leaf phenology model, combining this theoretical approach with a parameter-sparse terrestrial GPP model (the P model) that achieves good fit to GPP derived from flux towers in all biomes, and a scheme based on the P model that predicts seasonal maximum LAI as the lesser of an energy-limited rate (maximizing GPP) and a water-limited rate (maximizing the use of available precipitation). The exponential moving average method is used to represent the time lag between leaf allocation and modelled steady-state LAI. The model captures satellite-derived LAI dynamics across biomes at both site and global levels. Since this model outperforms the 15 DGVMs used in the TRENDY project, it could provide a basis for improved representation of leaf-area dynamics in vegetation and climate models.

plant biology↗

bioRxiv2024

Global variation in the ratio of sapwood to leaf area explained by optimality principles

The sapwood area supporting a given leaf area (vH) reflects a coordinated coupling between carbon uptake, water transport and loss at a whole plant level. Worldwide variation in vH reflects diverse plants strategies adapt to prevailing environments, and impact the evolution of global carbon and water cycles. Why such a variation has not been convincingly explained yet, thus hinder its representation in Earth System Models. Here we hypothesize that optimal vH tends to mediate between plant hydraulics and leaf photosynthesis so that leaf water loss matches water supply. By compiling and testing against two extensive datasets, we show that our hypothesis explains nearly 60% of vH variation responding to light, vapour pressure deficit, temperature, and sapwood conductance in a quantitively predictable manner. Sapwood conductance or warming-enhanced hydraulic efficiency reduces the demand on sapwood area for a given total leaf area and, whereas brightening and air dryness enhance photosynthetic capacities consequently increasing the demand. This knowledge can enrich Earth System Models where carbon allocation and water hydraulics play key roles in predicting future climate-carbon feedback.

ecology↗

bioRxiv2023

Recognition of centromere-specific histone Cse4 by the inner kinetochore Okp1-Ame1 complex

Successful mitosis depends on the timely establishment of correct chromosomal attachments to microtubules. The kinetochore, a modular multiprotein complex, mediates this connection by recognizing specialized chromatin containing a histone H3 variant called Cse4 in budding yeast and CENP-A in vertebrates. Structural features of the kinetochore that enable discrimination between Cse4/CENP-A and H3 have been identified in several species. How and when these contribute to centromere recognition and how they relate to the overall structure of the inner kinetochore are unsettled questions. We have determined the crystal structure of a Cse4 peptide bound to the essential inner kinetochore Okp1-Ame1 heterodimer from budding yeast. The structure and related experiments show in detail an essential point of Cse4 contact and provide information about the arrangement of the inner kinetochore.

cell biology↗

bioRxiv2023

GPR161 structure uncovers the redundant role of sterol-regulated ciliary cAMP signaling in the Hedgehog pathway

The orphan G protein-coupled receptor (GPCR) GPR161 is enriched in primary cilia, where it plays a central role in suppressing Hedgehog signaling1. GPR161 mutations lead to developmental defects and cancers2,3,4. The fundamental basis of how GPR161 is activated, including potential endogenous activators and pathway-relevant signal transducers, remains unclear. To elucidate GPR161 function, we determined a cryogenic-electron microscopy structure of active GPR161 bound to the heterotrimeric G protein complex Gs. This structure revealed an extracellular loop 2 that occupies the canonical GPCR orthosteric ligand pocket. Furthermore, we identify a sterol that binds to a conserved extrahelical site adjacent to transmembrane helices 6 and 7 and stabilizes a GPR161 conformation required for Gs coupling. Mutations that prevent sterol binding to GPR161 suppress cAMP pathway activation. Surprisingly, these mutants retain the ability to suppress GLI2 transcription factor accumulation in cilia, a key function of ciliary GPR161 in Hedgehog pathway suppression. By contrast, a protein kinase A-binding site in the GPR161 C-terminus is critical in suppressing GLI2 ciliary accumulation. Our work highlights how unique structural features of GPR161 interface with the Hedgehog pathway and sets a foundation to understand the broader role of GPR161 function in other signaling pathways.

biochemistry↗

bioRxiv2023

Lack of detection of SARS-CoV-2 in British wildlife 2020-21 and first description of a stoat (Mustela erminea) Minacovirus

2.Repeat spillover of SARS-CoV-2 into new hosts has highlighted the critical role of cross species transmission of coronaviruses and establishment of new reservoirs of virus in pandemic and epizootic spread of coronaviruses. Species particularly susceptible to SARS-CoV-2 spill-over include Mustelidae (mink, ferrets and related animals), cricetid rodents (hamsters and related animals), felids domestic cats and related animals) and white tailed deer. These predispositions led us to screen British wildlife with sarbecovirus specific qPCR and pan coronavirus PCR assays for SARS-CoV-2 using samples collected during the human pandemic to establish if widespread spill-over was occurring. Fourteen wildlife species (n=402) were tested, including : 2 Red Foxes (Vulpes vulpes), 101 Badgers (Meles meles), 2 wild American Mink (Neogale vison), 41 Pine Marten (Martes martes), 2 Weasels (Mustela nivalis), 7 Stoats (Mustela erminea), 108 Water Voles (Arvicola amphibius), 39 Bank voles (Myodes glareolous), 10 Field Voles (Microtus agrestis), 15 Wood Mice (Apodemus sylvaticus), 1 Common Shrew (Sorex aranaeus), 2 Pygmy Shrews (Sorex minutus), 2 Hedgehogs (Erinaceus europaeus) and 75 Eurasian Otters (Lutra lutra). No cases of SARS-CoV-2 were detected in any animals, however a novel minacovirus related to mink and ferret alphacoronaviruses was detected in stoats recently introduced to the Orkney Islands. This group of viruses is of interest due to pathogenicity in ferrets. The impact of this virus on the health of stoat populations remains to be established.

microbiology↗

bioRxiv2022

Comparison Between Gradients and Parcellations for Functional Connectivity Prediction of Behavior

Resting-state functional connectivity (RSFC) is widely used to predict behavioral measures. To predict behavioral measures, representing RSFC with parcellations and gradients are the two most popular approaches. Here, we compare parcellation and gradient approaches for RSFC-based prediction of a broad range of behavioral measures in the Human Connectome Project (HCP) and Adolescent Brain Cognitive Development (ABCD) datasets. Among the parcellation approaches, we consider group-average "hard" parcellations (Schaefer et al., 2018), individual-specific "hard" parcellations (Kong et al., 2021a), and an individual-specific "soft" parcellation (spatial independent component analysis with dual regression; Beckmann et al., 2009). For gradient approaches, we consider the well-known principal gradients (Margulies et al., 2016) and the local gradient approach that detects local RSFC changes (Laumann et al., 2015). Across two regression algorithms, individual-specific hard-parcellation performs the best in the HCP dataset, while the principal gradients, spatial independent component analysis and group-average "hard" parcellations exhibit similar performance. On the other hand, principal gradients and all parcellation approaches perform similarly in the ABCD dataset. Across both datasets, local gradients perform the worst. Finally, we find that the principal gradient approach requires at least 40 to 60 gradients to perform as well as parcellation approaches. While most principal gradient studies utilize a single gradient, our results suggest that incorporating higher order gradients can provide significant behaviorally relevant information. Future work will consider the inclusion of additional parcellation and gradient approaches for comparison.

neuroscience↗

bioRxiv2022

Thyroid hormone and ALK5 inhibitor improve maturation of human pluripotent stem cell derived hepatocytes

Hepatocytes derived from human pluripotent stem cells (PSCs) hold great promise for modeling human liver disease, in vitro hepatotoxicity testing, and future cellular therapy. However, current protocols generate hepatocyte-like cells (HLCs) that resemble fetal hepatocytes, and thus do not accurately recapitulate the molecular identity and functions of the adult liver. To address this, we compared the transcriptomes of human fetal and adult liver to PSC-derived HLCs during progressive stages of in vitro differentiation. This revealed that during the final stages of in vitro differentiation the hepatic transcription factors HNF4A and CEBPA were sub-optimally expressed. Computational analyses predicted that ALK5i II (TGF-{beta} receptor inhibitor) and thyroid hormone (T3) would be able to rectify this and improve HLC maturation. We next show that application of these molecules during hepatocyte differentiation indeed increases CEBPA and HNF4A mRNA and protein expression, and that these HLCs show enhanced albumin secretion, a 25-fold increase in CYP3A4 activity, and 10 to 100-fold increased expression of mature hepatic markers. We demonstrate that this improved maturation is effective across different cell lines and HLC differentiation protocols, and exemplifies that our approach provides a tractable template for identifying and targeting additional factors that that will fully mature human liver cells from human pluripotent stem cells.

developmental biology↗