Biology subjects

Thornton, M.

Publications and source records attributed to Thornton, M..

15 recordsLinked to original sources

bioRxiv2026

mGluR6 coordinates cone terminal targeting and synaptic layer assembly during human retinal development

The metabotropic glutamate receptor 6 (mGluR6), encoded by GRM6, is a core component of the ON-bipolar signaling cascade in the retina, but its role in human retinal development remains unclear. Here, we used temporally controlled CRISPR-based genetic ablation in human induced pluripotent stem cell-derived retinal organoids to define the developmental functions of mGluR6. Unexpectedly, we found that mGluR6 is expressed not only in depolarizing ON-bipolar cells but also transiently in cone photoreceptors during human retinal development, a pattern not observed in the mouse retina. Early loss of GRM6 prior to synaptogenesis disrupted cone pedicle architecture, leading to mislocalization of synaptic proteins including Bassoon, ELFN2, and TRPM1, and ultimately resulting in widening or duplication of the outer plexiform layer (OPL). In contrast, deletion after synapse formation did not alter OPL synapses or morphology, revealing a temporally restricted requirement for mGluR6 during circuit assembly. These findings uncover a previously unrecognized role for mGluR6 in coordinating cone terminal targeting and synaptic layer assembly during human retinal development and highlight the power of temporally controlled genetic manipulation in organoid systems to reveal species-specific mechanisms of neural circuit formation.

neuroscience↗

bioRxiv2025

Phenotypic and Functional Characterization of Oncohistone Mutations in Breast Cancers

Although mutations in genes encoding histones display a similar prevalence to that of some other somatic mutations in cancer, the underlying mechanisms by which histone mutations drive tumorigenesis have not been fully explored. Herein, we curated missense mutations occurring in core histone genes in breast cancers using data from MSK-IMPACT and cBioPortal to identify high frequency breast cancer-associated histone gene mutations. We characterized 17 high frequency oncohistone mutations in H2A H2B, and H3 that are enriched in breast cancer samples and occurred at glutamate (E), aspartate (D), serine (S), and arginine (R) residues. Many of these mutants co-occur with PIK3CA mutations in breast cancer samples. The oncohistone mutants were expressed in MCF-7 breast cancer cells or MCF-10A mammary epithelial cells and screened for effects on oncogenic phenotypes in a variety of cell- and tumor-based assays (i.e., proliferation, migration, invasion, competitive outgrowth, transformation). In addition, we examined the effects of selected mutants on DNA damage and gene expression. Our results indicate that the collection of oncohistone mutants that we screened have varying phenotypic and functional effects. Some can promote cancer-related phenotypes, with H2B-E76Q, H3-E97K, and H3-E105K eliciting strong oncogenic phenotypes and alterations in gene expression. All three of these mutants showed cooperativity with an activating mutation in PIK3CA (E545K), or a chemical activator of PI3K (UCL-TRO-1938), in assays of MCF-10A proliferation. H3-E105K also strongly promoted transformation of MCF-10A cells in an assay of growth on low attachment substrate independently of PIK3CA. Our results indicate that some high frequency oncohistone mutants can have oncogenic activity in breast cancers, and may act as potential cancer drivers. Collectively, these observations presented here can be used as a resource to connect biological and molecular outcomes to oncohistones in breast cancers. SignificanceIn this study, we identified and characterized 17 high frequency oncohistone mutations in H2A H2B, and H3 that are enriched in breast cancer samples and promote cancer-related phenotypes when expressed in cells. Many of these oncohistone mutations co-occur in breast cancer samples with mutations in PIK3CA, the most frequently mutated gene in breast cancer, and may act as potential cancer drivers.

cancer biology↗

bioRxiv2025

Comparative wastewater virome analysis with different enrichment methods

Wastewater-based epidemiology (WBE) has proven its value for public health. Physical concentration of virus particles is a crucial step for WBE to permit a sensitive and unbiased characterization of the catchment virome. Here we evaluate five different virion concentration techniques, including polyethylene glycol precipitation (PEG), vacuum-based direct capture (VDC), ultrafiltration (UF), NanoTrap (NT), and membrane adsorption (MEM) for their suitability to concentrate a wide variety of viral taxa from raw wastewater for PCR detection and sequencing-based metagenomic readouts. We found that to capture a taxonomically diverse virome from wastewater, PEG and VDC outperform all other methods tested in recovery rates, reproducibility, species detection, and captured nucleotide diversity. We observed that different methods exhibit variable concentration efficiencies across taxonomic groups in a reproducible manner, though we could not identify common physiochemical attributes driving this difference. We conclude both PEG and VDC are equally capable at detecting and enriching a broad range of viral taxa, boosting the genomic information potential and reducing blind spots relative to other tested methods. These results advance WBE towards capturing the complex wastewater virome and help guide protocol choices for potential future viral threats. HighlightsO_LIVirus concentration method choice highly impacts recovered viral communities. C_LIO_LIPolyethylene glycol precipitation (PEG) and vacuum-based direct capture (VDC) detect more viral species with higher nucleotide diversity than other methods tested. C_LIO_LIEnrichment effect of concentration depends on viral taxonomy. C_LIO_LIPEG and VDC yield comparable enrichments of a broad range of viral taxa from wastewater. C_LI

microbiology↗

bioRxiv2025

X-Linked Cancer-Associated Polypeptide (XCP) from lncRNA1456 Cooperates with PHF8 to Regulate Gene Expression and Cellular Pathways in Breast Cancer

Recent studies have demonstrated that a subset of long "noncoding" RNAs (lncRNAs) produce functional polypeptides and proteins. In this study, we discovered a 132 amino acid protein in human breast cancer cells named XCP (X-linked Cancer-associated Polypeptide), which is encoded by lncRNA1456 (a.k.a. RHOXF1P3), a transcript previously thought to be noncoding. lncRNA1456 is a pancreas- and testis-specific RNA whose gene is located on chromosome X. We found that the expression of lncRNA1456 and XCP are highly upregulated in the luminal A, luminal B, and HER2 molecular subtypes of breast cancer. XCP modulates both estrogen-dependent and estrogen-independent growth of breast cancer cells by regulating cancer pathways, as shown in cell and xenograft models. XCP shares some homology with homeodomain-containing proteins and interacts with the histone demethylase plant homeodomain finger protein 8 (PHF8), which is also encoded by an X-linked gene. Mechanistically, XCP stimulates the histone demethylase activity of PHF8 to regulate gene expression in breast cancer cells. These findings identify XCP as a coregulator of transcription and emphasize the need to interrogate the potential functional roles of open reading frames originating from noncoding RNAs. Statement of SignificangeXCP, a polypeptide encoded by an X-linked lncRNA, regulates gene expression in breast cancer cells. XCP is a chromatin-associated protein that interacts with the histone demethylase PHF8 and modulates its demethylase activity to regulate gene expression. XCP drives cancer-specific phenotypes and serves as a potential biomarker and/or target for therapeutic intervention.

cancer biology↗

bioRxiv2024

Small RNAs regulation and genomic harmony: insights into allopolyploid evolution in marsh orchids (Dactylorhiza)

O_LIHybridization and polyploidy are major drivers of plant diversification, often accompanied by shifts in gene expression and genome composition. Small RNAs (smRNAs) are thought to influence such genomic changes, particularly through their interactions with transposable elements (TEs). C_LIO_LIWe comparatively quantified smRNAs in established sibling allopolyploids Dactylorhiza majalis and D. traunsteineri and their diploid progenitors to assess how independent allopolyploidization events shaped smRNA landscapes. C_LIO_LIDespite independent origins, the allotetraploids exhibited substantial overlap in smRNA composition, including transgressive accumulation of smRNA near genes related to transcriptional regulation, cell division and stress response. Consistently, TE-associated 24 nt smRNAs more closely resembled the paternal and larger genome, while shorter smRNAs typically reflected the maternal and smaller genome. Nevertheless, distinct patterns were also evident: the older D. majalis showed greater accumulation of smRNAs near genes involved in transcriptional and translational regulation, while the younger D. traunsteineri displayed stronger non-additive patterns, suggesting ongoing resolution of post-polyploid meiotic and mitotic instability. C_LIO_LIOur results reveal both convergence and divergence in smRNA landscapes among independently formed allopolyploids. Our study highlights the central role of smRNAs in resolving genomic conflict, with possible implications for functional divergence and ecological innovation during polyploid evolution. C_LI Plain-language summaryWe studied two sibling marsh orchid species that arose through hybridization and genome doubling. By comparing their small RNA molecules and how these associate with genes, we found both shared and species-specific patterns. These differences reflect how the orchids genomes have changed since formation, and may explain how repeated polyploidy events contribute to genetic and ecological diversity in plants.

evolutionary biology↗

bioRxiv2024

Defining and Controlling Axial Nephron Patterning in Human Kidney Organoids with Synthetic Wnt-Secreting Organizers

Current human pluripotent stem cell-derived kidney organoids contain nephron-like structures that lack organotypic patterning. It is thought that during human development, nephrons form their proximal-distal axial polarity in response to collecting duct-derived signals that are absent in kidney organoids. To delineate how nephron polarities establish, we profiled human kidney development by spatial transcriptomic approaches. Our analyses describe a new axial polarity in the nephron and demonstrate that the nephron proximal-distal polarity develops adjacent to a transcriptional boundary in the collecting duct where non-canonical WNT11 is downregulated and canonical WNT9B ligand is upregulated. The nephron region closest to this boundary in turn activates a series of canonical WNT target genes inferring positional nephron identities. To establish whether a canonical WNT source can improve organoid patterning to an in vivo-like state, we bioengineered self-organizing WNT-secreting synthetic organizers. Organizer-coupled kidney organoids respond to WNT ligands by forming expression gradients and developing distal cell identities. Tuning the WNT dose produced nephrons with continuous patterning along the proximal-distal axis. Strikingly, polarized iPSC-derived nephrons directed their distal tubules towards the WNT-source, indicating axial patterning and morphogenetic programs are tuned by WNTs from the synthetic organizers. Our data present a strategy to control organ patterning, build an artificial kidney, and highlights the power of synthetic organizer systems for advancing organoid models.

synthetic biology↗

bioRxiv2024

KAP1 negatively regulates RNA polymerase II elongation kinetics to activate signal-induced transcription

Signal-induced transcriptional programs regulate critical biological processes through the precise spatiotemporal activation of Immediate Early Genes (IEGs); however, the mechanisms of transcription induction remain poorly understood. By combining an acute depletion system with high resolution genomics approaches to interrogate synchronized, temporal transcription, we reveal that KAP1/TRIM28 is a first responder that fulfills the temporal and heightened transcriptional demand of IEGs. Unexpectedly, acute KAP1 loss triggers an increase in RNA polymerase II elongation kinetics during early stimulation time points. This elongation defect derails the normal progression through the transcriptional cycle during late stimulation time points, ultimately leading to decreased recruitment of the transcription apparatus for re-initiation thereby dampening IEGs transcriptional output. Collectively, KAP1 plays a counterintuitive role by negatively regulating transcription elongation to support full activation across multiple transcription cycles of genes critical for cell physiology and organismal functions.

molecular biology↗

bioRxiv2023

Notch3 deletion regulates HIV-1 gene expression and systemic inflammation to ameliorate chronic kidney disease

Antiretroviral therapy (ART) has decreased HIV-1 associated morbidity. However, despite ART, immune cells remain latently infected and slowly release viral proteins, leading to chronic inflammation and HIV-1 associated comorbidities. New strategies are needed to target viral proteins and inflammation. We found activation of Notch3 in several renal cells of the HIV-1 mouse model (HIV-Tg26) and in patients with HIV associated Nephropathy. We hypothesized that targeting Notch3 activation constitutes an effective therapy for HIV-related chronic kidney diseases (HIV-CKD). We generated HIV-Tg26 mice with Notch3 knocked out (Tg-N3KO). Compared to HIV-Tg26 mice at 3 months, HIV-Tg-N3KO mice showed a marked reduction in renal injury, skin lesions and mortality rate. Bulk RNA sequencing revealed that N3KO not only reduced renal infiltrating cells but significantly reduced the expression of HIV genes. Moreover, Notch3 activated the HIV-promoter and induction of HIV-1 resulted in increased Notch3 activation indicating a feedback mechanism. Further, bone marrow derived macrophages (BMDMs) from HIV-Tg26 mice showed activation of Notch3 indicating systemic effects. Consistent with that, systemic levels of TNF-, MCP-1 and other inflammatory chemokines and cytokines were reduced in Tg-N3KO mice. Thus, Notch3 inhibition/deletion has a dual therapeutic effect in HIV-CKD and may extend to other HIV-related pathologies.

molecular biology↗

bioRxiv2023

Online Bayesian Optimization of Nerve Stimulation

ObjectiveIn bioelectronic medicine, neuromodulation therapies induce neural signals to the brain or organs modifying their function. Stimulation devices, capable of triggering exogenous neural signals using electrical wave forms, require a complex and multi-dimensional parameter space in order to control such wave forms. Determining the best combination of parameters (wave form optimization, or dosing) for treating a particular patients illness is therefore challenging. Comprehensive parameter searching for an optimal stimulation effect is often infeasible in a clinical setting, due to the size of the parameter space. Restricting this space, however, may lead to sub-optimal therapeutic results, reduced responder rates, and adverse effects. ApproachAs an alternative to a full parameter search, we present a flexible machine learning, data acquisition and processing framework for optimizing neural stimulation parameters requiring as few steps as possible using Bayesian optimization. Such optimization builds a model of the neural and physiological responses to stimulations enabling it to optimize stimulation parameters and to provide estimates of the accuracy of the response model. The vagus nerve innervates, among other thoracic and visceral organs, the heart, thus controlling heart rate and is therefore ideal for demonstrating the effectiveness of our approach. Main results. The efficacy of our optimization approach was first evaluated on simulated neural responses, then applied to vagus nerve stimulation intraoperatively in porcine subjects. Optimization converged quickly on parameters achieving target heart rates and optimizing neural B-fibre activations despite high intersubject variability. SignificanceAn optimized stimulation waveform was achieved in real time with far fewer stimulations than required by alternative optimization strategies, thus minimizing exposure to side effects. Uncertainty estimates helped avoiding stimulations outside a safe range. Our approach shows that a complex set of neural stimulation parameters can be optimized in real-time for a patient to achieve a personalized precision dosing.

neuroscience↗

bioRxiv2023

Using neural biomarkers to personalize dosing of vagus nerve stimulation

BackgroundVagus nerve stimulation (VNS) is an established therapy for treating a variety of chronic diseases, such as epilepsy, depression, obesity, and for stroke rehabilitation. However, lack of precision and side-effects have hindered its efficacy and extension to new conditions. ObjectiveTo achieve a better understanding of the relationship between VNS parameters and neural and physiological responses to enable the design of personalized dosing procedures to improve precision and efficacy of VNS therapies. MethodsWe used biomarkers from recorded evoked neural activity and short-term physiological responses (throat muscle, cardiac and respiratory activity) to understand the response to a wide range of VNS parameters in anaesthetised pigs. Using signal processing, Gaussian processes (GP) and parametric regression models we analyse the relationship between VNS parameters and neural and physiological responses. ResultsFirstly, we observe inter-subject variability for both neural and physiological responses. Secondly, we illustrate how considering multiple stimulation parameters in VNS dosing can improve the efficacy and precision of VNS therapies. Thirdly, we describe the relationship between different VNS parameters and the evoked neural activity and show how spatially selective electrodes can be used to improve fibre recruitment. Fourthly, we provide a detailed exploration of the relationship between the activations of neural fibre types and different physiological effects, and show that recordings of evoked neural activity are powerful biomarkers for predicting the short-term physiological effects of VNS. Finally, based on these results, we discuss how recordings of evoked neural activity can help design VNS dosing procedures that optimize short-term physiological effects safely and efficiently. ConclusionUnderstanding of evoked neural activity during VNS provide powerful biomarkers that could improve the precision, safety and efficacy of VNS therapies.

neuroscience↗

bioRxiv2022

Triple Notch/Tgfβ/FoxO1 blockade converts multiple intestinal sub-lineages into β-like cells and lowers glycemia in diabetic animals

Insulin is the essential treatment of Type 1 (T1D) and is often used in Type 2 Diabetes. For nearly five decades, efforts have been focused on replenishing {beta}-cells in T1D patients as a more durable treatment. Gut endocrine cells can be converted into insulin-producing cells, but their numbers are limited. In this study we report that insulin-immunoreactive cells with Paneth/goblet cell features are present in human fetal intestine, in addition to enteroendocrine cells. Accordingly, lineage tracing experiments show that, besides enterochromaffin cells, the Paneth/goblet lineage can undergo conversion to the insulin lineage upon genetic or pharmacologic Foxo1 ablation in mice. We leveraged these data to design a screening platform in organoids to accurately quantitate {beta}-like cell reprogramming and fine-tune a combination treatment to increase the efficiency of the conversion process by expanding the intestinal secretory lineage. We identified a triple blockade of FoxO1, Notch, and Tgf{beta} that, when tested in insulin-deficient diabetic animals resulted in a near-normalization of glucose levels, associated with the appearance of gut insulin-producing cells. The findings illustrate a therapeutic approach to replace insulin treatment in diabetes.

cell biology↗

bioRxiv2021

Inferring Mycobacterium bovis transmission between cattle and badgers using isolates from the Randomised Badger Culling Trial

Mycobacterium bovis (M. bovis) is a causative agent of bovine tuberculosis, a significant source of morbidity and mortality in the global cattle industry. The Randomised Badger Culling Trial was a field experiment carried out between 1998 and 2005 in the South West of England. As part of this trial, M. bovis isolates were collected from contemporaneous and overlapping populations of badgers and cattle within ten defined trial areas. We combined whole genome sequences from 1,442 isolates with location and cattle movement data, identifying transmission clusters and inferred rates and routes of transmission of M. bovis. Most trial areas contained a single transmission cluster that had been established shortly before sampling, often contemporaneous with the expansion of bovine tuberculosis in the 1980s. The estimated rate of transmission from badger to cattle was approximately two times higher than from cattle to badger, and the rate of within-species transmission considerably exceeded these for both species. We identified long distance transmission events linked to cattle movement, recurrence of herd breakdown by infection within the same transmission clusters and superspreader events driven by cattle but not badgers. Overall, our data suggests that the transmission clusters in different parts of South West England that are still evident today were established by long-distance seeding events involving cattle movement, not by recrudescence from a long-established wildlife reservoir. Clusters are maintained primarily by within-species transmission, with less frequent spill-over both from badger to cattle and cattle to badger.

genomics↗

bioRxiv2021

SeqWho: Reliable, rapid determination of sequence file identity using k-mer frequencies

With the vast improvements in sequencing technologies and increased number of protocols, sequencing is finding more applications to answer complex biological problems. Thus, the amount of publicly available sequencing data has tremendously increased in repositories such as SRA, EGA, and ENCODE. With any large online database, there is a critical need to accurately document study metadata, such as the source protocol and organism. In some cases, this metadata may not be systematically verified by the hosting sites and may result in a negative influence on future studies. Here we present SeqWho, a program designed to heuristically assess the quality of sequencing files and reliably classify the organism and protocol type. This is done in an alignment-free algorithm that leverages a Random Forest classifier to learn from native biases in k-mer frequencies and repeat sequence identities between different sequencing technologies and species. Here, we show that our method can accurately and rapidly distinguish between human and mouse, nine different sequencing technologies, and both together, 98.32%, 97.86%, and 96.38% of the time in high confidence calls respectively. This demonstrates that SeqWho is a powerful method for reliably checking the identity of the sequencing files used in any pipeline and illustrates the programs ability to leverage k-mer biases.

bioinformatics↗

bioRxiv2020

HISAT-3N: a rapid and accurate three-nucleotide sequence aligner

Nucleotide conversion sequencing technologies such as bisulfite-seq and SLAM-seq are powerful tools to explore the intricacies of cellular processes. In this paper, we describe HISAT-3N (hierarchical indexing for spliced alignment of transcripts - 3 nucleotides), which rapidly and accurately aligns sequences consisting of nucleotide conversions by leveraging powerful hierarchical index and repeat index algorithms originally developed for the HISAT software. Tests on real and simulated data sets demonstrate that HISAT-3N is over 7 times faster, has greater alignment accuracy, and has smaller memory requirements than other modern systems. Taken together HISAT-3N is the ideal aligner for use with converted sequence technologies.

bioinformatics↗

bioRxiv2020

Spatial Transcriptional Mapping of the Human Nephrogenic Program

Congenital abnormalities of the kidney and urinary tract are amongst the most common birth defects affecting 3% of newborns. The human kidney develops over a 30-week period in which a nephron progenitor pool gives rise to around a million nephrons. To establish a framework for human nephrogenesis, we spatially resolved a stereotypical process by which equipotent nephron progenitors generate a nephron anlagen, then applied data-driven approaches to construct three-dimensional protein maps on anatomical models of the nephrogenic program. Single cell RNA sequencing identified novel progenitor states which were spatially mapped to the nephron anatomy enabling the generation of functional gene-networks predicting interactions within and between nephron cell-types. Network mining identified known developmental disease genes and predicts new targets of interest. The spatially resolved nephrogenic program made available through the Human Nephrogenesis Atlas (https://sckidney.flatironinstitute.org/) will facilitate an understanding of kidney development and disease, and enhance efforts to generate new kidney structures.

cell biology↗