Biology subjects

Taylor, V.

Publications and source records attributed to Taylor, V..

15 recordsLinked to original sources

bioRxiv2026

A broad-spectrum phage-encoded mechanism to disarm bacterial type IV filaments

Phages can modify host cell physiology to thwart competitors. The Pseudomonas aeruginosa-specific phage DMS3 encodes Aqs1, a protein inhibitor of type IV pilus (T4P) function to prevent host cell recognition by other phages that leverage these filaments for infection. Aqs1 disrupts T4P by binding to the hexameric ATPase PilB, required to power pilus filament extension, though several mechanistic details remain unclear. We show that Aqs1 has broad-spectrum activity and can disrupt T4P function in a variety of Gram negative bacteria. This protein inhibits PilB by binding to a solvent-exposed hydrophobic patch on the N2-domain, distal to the active site. Binding destabilizes the hexamer, preventing PilB accumulation at T4P machines. Aqs1 likely disrupts PilB oligomerization by displacing a flexible linker segment between the PilB N1- and N2-domains required for inter-subunit contact. Together, the Aqs1 mode of action provides a design template for broad-spectrum inhibitors of diverse bacterial virulence factors. SignificanceThe phage-encoded protein Aqs1 disables type IV pilus (T4P) production in Pseudomonas aeruginosa by targeting the hexameric ATPase responsible for assembling pilus fibers. We show that despite originating from a P. aeruginosa-specific phage, Aqs1 can also disable T4 ATPase-dependent phenotypes across other pathogenic bacteria and homologous systems. Mechanistically, Aqs1 binds to a conserved patch on the PilB N2-domain away from the active site. Binding here breaks apart the PilB oligomer, preventing it from acting on T4P machines. Aqs1 binding at the N2-domain patch likely displaces a flexible PilB linker segment that binds to this site to stabilize the hexamer. Our work highlights a novel and conserved PilB allosteric site which is exploited by the phage-encoded protein Aqs1 to disrupt diverse T4 systems in multiple bacteria.

microbiology↗

bioRxiv2025

Inhibition of systemic mammalian metabolism by carnitine mimics from the gut microbiota

BackgroundThe gut microbiota and microbiome-derived metabolites are implicated in various aspects of human health. Here we sought to determine the systemic effects, and mechanism of action, of microbiome-derived carnitine analogues in germ free and conventionally colonised mice. ResultsHere we report the systemic localization of the microbiome-derived carnitine analogues, 3-methyl-4-(trimethylammonio)butanoate (3M-4-TMAB) and 5-aminovalerate betaine (5-AVAB), post-administration to germ free mice, with systemic carnitine depletion and mitochondrial dysregulation, reflected in altered acylcarnitine profiles due to incomplete carnitine-mediated fatty acid oxidation. Studies on the inhibitory potency of 3M-4-TMAB at the enzymatic, cellular, and organism levels indicate that, in part, this is a result of inhibition of gammabutyrobetaine hydroxylase, which catalyses the final step in carnitine biosynthesis. Systemic administration of 13C- labelled 3M-4-TMAB to conventionally colonised animals to further investigate the physiological relevance of this inhibition, identified a significant reduction in systemic carnitine levels due to increased excretion in urine and faeces and disruption of carnitine-mediated metabolism across ten organs. ConclusionsThese results highlight the physiological relevance and significance of microbiome-derived metabolites in vivo. The depletion of carnitine and inhibition of its function have potentially long-term impacts on both mammalian energy generation and the protective, signalling and immune regulatory effects of this critical molecule.

microbiology↗

bioRxiv2025

Mapping gene expression across the microbiome-gut-brain axis of germ- and specific pathogen-free mice

Perturbation of the gut microbiota has been implicated in neurological diseases via communication across the microbiome-gut-brain axis. As a result, the discovery of mechanisms underlying interaction across this axis are becoming increasingly important. The germ-free (GF) mouse model has enabled an improved understanding of the influence of the gut microbiota on brain development and function. By utilising an advanced spatial profiling approach, we determined transcriptional changes in the brain, improving our understanding of how brain cells function and interact within their microenvironment in the absence of microbiome influence. Targeted regions of interest were selected based on brain regions implicated in neurological disease or reported structural differences between GF mouse brains and those of colonized mice. In the hippocampus 276 differentially expressed genes (DEGs) were identified, 345 DEGs in the thalamus, and 21 DEGs in pons. Contrastingly we identified only 2 DEGs in the midbrain and 4 in the medulla oblongata, with no DEGs in the cerebellum or corpus callosum. This data provides an overview of gut microbiota influence on gene expression in the brain, highlighting multiple genes of interest for further investigation in the context of microbiome influence on brain function and their potential relevance to neurological disease.

microbiology↗

bioRxiv2024

Mapping the niche of breast cancer metastases in lung and liver

Breast cancer progression to visceral organs such as lung and liver is regarded as a dreadful event, unequivocally associated with a poor prognosis. Yet, these vital sites are characterized by highly diverse cellular microenvironments and physiological functions, suggesting that they may influence cancer cells behavior in divergent ways. Unexpectedly, we find that while the liver microenvironment fosters metastasis-promoting properties and boosts secondary spread, the lungs impose a roadblock to the same processes. Using patient data and tissues from rapid autopsy, as well as mouse models with barcode-mediated metastasis tracing, niche labeling technology and single cell analysis of both tumor cells and their direct microenvironment, we dissect cellular and molecular microenvironmental factors that impose this differential behavior. Among these, we identify BMP2-producing endothelial cells as critical players within the liver metastatic niche, capable to enhance metastasis-to-metastasis dissemination. Targeting BMP2 receptor on breast cancer cells suppresses their metastasis-forming ability. Altogether, we reveal a contrast in the site-specific behavior of lung and liver metastases in breast cancer, highlighting microenvironmental factors that contribute to this diversity, as well as organ-specific opportunities for intervention.

cancer biology↗

bioRxiv2023

Pain reflects the informational value of nociceptive inputs.

Pain perception and its modulation are fundamental to human learning and adaptive behavior. This study investigated the hypothesis that pain perception is tied to pains learning function. Thirty-one participants performed a threat conditioning task where certain cues were associated with a possibility of receiving a painful electric shock. The cues that signalled potential pain or safety were regularly changed, requiring participants to continually establish new associations. Using computational models, we quantified participants pain expectations and prediction errors throughout the task and assessed their relationship with pain perception and electrophysiological responses. Our findings suggest that subjective pain perception increases with prediction error, that is when pain was unexpected. Prediction errors were also related to physiological nociceptive responses, including the amplitude of the nociceptive flexion reflex and EEG markers of cortical nociceptive processing (N2-P2 evoked potential and gamma-band power). Additionally, higher pain expectations were related to increased late event-related potential responses and alpha/beta decreases in amplitude during cue presentation. These results further strengthen the idea of a crucial link between pain and learning and suggest that understanding the influence of learning mechanisms in pain modulation could help us understand when and why pain perception is modulated in health and disease.

neuroscience↗

bioRxiv2022

The protooncogene Ski regulates the neuron-glia switch during development of the mammalian cerebral cortex

The brain is the most complex organ in mammals and understanding the origin of this complexity is a major challenge for developmental biologists. Crucial to the size and morphology of the cortex is the timing and transition of neural stem cell (NSC) fate. An interesting candidate for modulating and fine tuning these processes is the transcriptional regulator Ski, a protooncogene expressed in cortical cells. Ski is involved in diverse cellular processes and epigenetic programs, and mice deficient in Ski exhibit complex central nervous system defects that resemble some of the features observed in patients with 1p36 deletion syndrome and Shprintzen-Goldberg syndrome. Here, we took advantage of in vivo transgenic labeling and next-generation sequencing to analyze the gene expression profiles of NSCs, basal progenitor (BP) cells, and newborn neurons (NBNs) from wildtype and Ski-deficient embryos throughout cortical development. We created a unique database that allowed us to identify and compare signaling pathways and transcriptional networks within each progenitor population in the presence and absence of Ski. We find that NSCs are the most affected cell population and uncover that mutant NSCs fail to switch to a gliogenic fate in time. We show that Ski functions in concert with the Bone Morphogenetic Protein (BMP) signaling pathway to alter the cell differentiation fate of NSCs from neurons to glia, which is key to generating adequate numbers of specific cell types during corticogenesis. Thus, by combining genetic tools and bioinformatic analysis, our work not only deepens the knowledge of how Ski functions in the brain, but also provides an immense resource for studying neurodevelopmental disorders.

systems biology↗

bioRxiv2022

Downregulating α-synuclein in iPSC-derived dopaminergic neurons mimics electrophysiological phenotype of the A53T mutation

Parkinsons disease (PD) is a common debilitating neurodegenerative disorder, characterized by a progressive loss of dopaminergic (DA) neurons. Mutations, gene dosage increase, and single nucleotide polymorphisms in the -synuclein-encoding gene SNCA either cause or increase the risk for PD. However, neither the function of -synuclein in health and disease, nor its role throughout development is fully understood. Here, we introduce DeePhys, a new tool that allows for data-driven functional phenotyping of neuronal cell lines by combining electrophysiological features inferred from high-density microelectrode array (HD-MEA) recordings with a robust machine learning workflow. We apply DeePhys to human induced pluripotent stem cell (iPSC)-derived DA neuron-astrocyte co-cultures harboring the prominent SNCA mutation A53T and an isogenic control line. Moreover, we demonstrate how DeePhys can facilitate the assessment of cellular and network-level electrophysiological features to build functional phenotypes and to evaluate potential treatment interventions. We find that electrophysiological features across all scales proved to be highly specific for the A53T phenotype, enabled to predict the genotype and age of individual cultures with high accuracy, and revealed a mutant-like phenotype after downregulation of -synuclein.

neuroscience↗

bioRxiv2022

Temporal and sequential transcriptional dynamics define lineage shifts in corticogenesis

The cerebral cortex contains billions of neurons, and their disorganization or misspecification leads to neurodevelopmental disorders. Understanding how the plethora of projection neuron subtypes are generated by cortical neural stem cells (NSCs) is a major challenge. Here, we focused on elucidating the transcriptional landscape of murine embryonic NSCs, basal progenitors (BPs) and newborn neurons (NBNs) throughout cortical development. We uncover dynamic shifts in transcriptional space over time, and heterogeneity within each progenitor population. We identified signature hallmarks of NSC, BP and NBN clusters, and predict active transcriptional nodes and networks that contribute to neural fate specification. We find that the expression of receptors, ligands and downstream pathway components is highly dynamic over time and throughout the lineage implying differential responsiveness to signals. Thus, we provide an expansive compendium of gene expression during cortical development that will be an invaluable resource for studying neural developmental processes and neurodevelopmental disorders.

neuroscience↗

bioRxiv2021

Safb1 regulates cell fate determination in adult neural stem cells by enhancing Drosha cleavage of NFIB mRNA

During brain homeostasis, stem cell fate determination is crucial to guarantee function, adaptation and regeneration while preventing neurodegeneration and cognitive impairment. How neural stem cells (NSCs) are instructed to generate neurons or glia is not well understood. Here we addressed how fate is resolved in multipotent adult hippocampal NSCs, and identify Scaffold Attachment Factor B1 (Safb1) as a determinant of neuron production by blocking glial commitment. Safb1 is sufficient to block oligodendrocytic differentiation of NSCs by preventing expression of the transcription factor NFIB at the post-transcriptional level. Detailed interrogation of the Drosha interactome and functional validation revealed that Safb1 enhances NFIB mRNA cleavage in a Drosha-dependent fashion. Thus, our study provides a cellular mechanism for selective NSC fate regulation by post-transcriptional destabilization of mRNAs. Given the importance of NSC maintenance and fate determination in the adult brain, our findings have major implications for cell-specific gene expression, brain disease and aging.

neuroscience↗

bioRxiv2018

Notch2 signaling regulates Id4 and cell cycle genes to maintain neural stem cell quiescence in the adult hippocampus

Neural stem cells (NSCs) in the adult hippocampal dentate gyrus (DG) can be quiescent or proliferative, but how they are maintained is largely unknown. With age DG NSCs become increasingly dormant, which impinges on neuron generation. We addressed how NSC activity is controlled and found that Notch2 promotes quiescence by regulating their transition to the activated state. Notch2-ablation induces cell cycle genes and markers of active NSCs. Conversely, quiescent NSC-associated genes, including Id4, are down regulated after Notch2 deletion. We found that Notch2 binds the Id4 promoter and positively regulates transcription. Similar to Notch2, Id4 overexpression promotes DG NSC quiescence and Id4 knockdown rescues proliferation, even when Notch2 signaling is activated. We show that Notch2 regulates age-dependent DG NSC dormancy and Notch2 inhibition rejuvenates neurogenesis in the DG of aged mice. Our data indicate that a Notch2-Id4 axis promotes adult DG NSC quiescence and dormancy.

neuroscience↗

bioRxiv2018

Jagged1/Notch2 Controls Kidney Fibrosis via Tfam-mediated Metabolic Reprogramming

While Notch signaling has been proposed to play a key role in fibrosis, the direct molecular pathways targeted by Notch signaling and the precise ligand and receptor pair that are responsible for kidney disease remain poorly defined.\n\nIn this study, we found that JAG1 and NOTCH2 showed the strongest correlation with the degree of interstitial fibrosis in a genome wide expression analysis of a large cohort of human kidney samples. RNA sequencing analysis of kidneys of mice with folic acid nephropathy, unilateral ureteral obstruction, or APOL1-associated kidney disease indicated that Jag1 and Notch2 levels were higher in all analyzed kidney fibrosis models. Mice with tubule-specific deletion of Jag1 or Notch2 (Kspcre/Jag1flox/flox, and Kspcre/Notch2flox/flox) had no kidney-specific alterations at baseline, but showed protection from folic acid induced kidney fibrosis. Tubule-specific genetic deletion of Notch1 and global knock-out of Notch3 had no effect on fibrosis. In vitro chromatin immunoprecipitation experiments and genome-wide expression studies identified the mitochondrial transcription factor A (Tfam) as a direct Notch target. Re-expression of Tfam in tubule cells prevented Notch-induced metabolic and profibrotic reprogramming. Kidney tubule specific deletion of Tfam resulted in perinatal lethality.\n\nIn summary, Jag1/Notch2 plays a key role in kidney fibrosis development by regulating Tfam expression and metabolic reprogramming.

pathology↗

bioRxiv2017

Development of noninvasive biomarkers of response to proteasome inhibitor therapy (ixazomib) by imaging disrupted protein homeostasis in mouse models of solid tumors

With clinically-approved proteasome inhibitors now a standard of care for multiple myeloma, and increasing interest in their use in solid tumors, methods for monitoring therapeutic response in vivo are critically required. Here, we show that tumor protein homeostasis can be noninvasively monitored, using chemical exchange (CEST) magnetic resonance imaging (MRI) as a surrogate marker for proteasome inhibition, alongside diffusion MRI and relaxometry. We show that the in vivo CEST signal associated with amides and amines increases in proportion to proteasome inhibitor dose (ixazomib) and the magnitude of therapeutic effect in colorectal cancer xenografts. Moreover, we show that SW1222 and LS174T human colorectal cancer cell lines demonstrate differing sensitivities to ixazomib, which was reflected in our MRI measurements. We also found evidence of a mild stimulation in tumor growth at low ixazomib doses. Our results therefore identify CEST MRI as a promising method for safely and noninvasively monitoring changes in tumor protein homeostasis.

biophysics↗

bioRxiv2017

Deep learning diffusion fingerprinting to detect brain tumour response to chemotherapy

Artificial neural networks are being widely implemented for a range of different biomedical imaging applications.Convolutional neural networks are by far the most popular type of deep earning architecture,but often require very large datasets for robust training and evaluation We introduce deep learning diffusion fingerprinting (DLDF), which we have used to classifydiffusion-weighted magnetic resonance imaging voxels in a mouse model of glioblastoma (GL261 cell line), both prior to and in response to Temozolomide (TMZ) chemotherapy.We show that, even with limited training, DLDF can automatically segment brain tumours from normal brain, can automatically distinguish between young and older (after 9 days of growth) tumours and that DLDF can detect whether or not a tumour has been treated with chemotherapy.Our results also suggest that DLDF can detect localised changes in the underlying tumour microstructure, which are not evident using conventional measurements of the apparent diffusion coefficient (ADC).Tissue category maps generated by DLDF showed regions containing a mixture of normal brain and tumour cells, and in some cases evidence of tumour invasion across the corpus callosum, which were broadly consistent with histology.In conclusion, DLDF shows the potential for applying deep learning on a pixel-wise level,which reduces the need for vast training datasets and could easily be applied to other multi-dimensional imaging acquisitions\n\nAbbreviations

biophysics↗

bioRxiv2017

Quantitation of brain tumour microstructure response to Temozolomide therapy using non-invasive VERDICT MRI

There has been slow progress in the development of new therapeutic strategies for treating brain tumours, partly because assessment of treatment response is difficult and largely reliant on simple bi-dimensional measurements of MRI contrast-enhancing regions. Hence, there is a clinical need to develop improved imaging techniques for monitoring treatment response. In this study, we evaluate VERDICT (Vascular, Extracellular and Restricted Diffusion for Cytometry in Tumors) MRI in mouse glioblastomas for the quantification of tumour microstructure and assessment of response to Temozolomide (TMZ) chemotherapy, and, we investigate the feasibility of applying VERDICT MRI in a range of human gliomas. VERDICT MRI detected response to TMZ earlier than structural and apparent diffusion coefficient (ADC) measurements. A significant reduction in the cell radius parameter was detected three days earlier than ADC and six days earlier than structural MRI. Histological analysis showed the same trend as VERDICT of decreased intracellular volume fraction in the TMZ-treated mice. Vascular volume fraction was not altered by TMZ, which was consistent with optical projection tomography measurements. In patients, glioblastoma compartmental volume fractions showed good agreement with mouse glioblastoma parameters. The VERDICT parameters varied across the human gliomas, with raised intracellular volume fraction in the oligodendrogliomas and elevated cell radius in both low-grade tumours subtypes. In conclusion, our results suggest that VERDICT MRI is more sensitive at detecting TMZ response than structural or ADC measurements. In patients, VERDICT is feasible within clinical scan times, and performed best at characterising glioblastoma. Further optimisation should improve assessment of different glioma subtypes.

biophysics↗

bioRxiv2017

Universal Microfluidic System for Analysis and Control of Cell Dynamics

Dynamical control of the cellular microenvironment is highly desired for quantitative studies of stem cells and immune signaling. Here, we present an automated microfluidic system for high-throughput culture, differentiation and analysis of a wide range of cells in precisely defined dynamic microenvironments recapitulating cellular niches. This system delivers complex, time-varying biochemical signals to 1,500 independently programmable cultures containing either single cells, 2-D populations, or 3-D organoids, and dynamically stimulates adherent or non-adherent cells while tracking and retrieving them for end-point analysis. Using this system, we investigated the signaling landscape of neural stem cell differentiation under combinatorial and dynamic stimulation with growth factors. Experimental and computational analyses identified \"cellular logic rules\" for stem cell differentiation, and demonstrated the importance of signaling sequence and timing in brain development. This universal platform greatly enhances capabilities of microfluidic cell culture, allows dissection of previously hidden aspects of cellular dynamics, and enables accelerated biological discovery.

bioengineering↗