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Biology subjects

Nguyen, T. D.

Publications and source records attributed to Nguyen, T. D..

At least 19 recordsLinked to original sources

Functional specialization of TAF4b governs early prophase I entry and recombination frequency in Brassica rapa

While the core transcription factor TAF4b is known to regulate meiotic transcription and recombination in model plant Arabidopsis thaliana, its functional specialization and evolutionary dynamics remain poorly understood in paleopolyploid crops. To address this, we investigated how the unique, single-copy TAF4b gene modulates early meiotic progression and reproductive success in Brassica rapa. We characterized multiple independent taf4b TILLING lines for fertility and meiotic behavior, then used this information to select a mutant line for further investigation using a pipeline combining whole-genome background sequencing (DNA-seq), stage-specific anther transcriptomics (RNA-seq), yeast two-hybrid assays, and quantitative cytogenetics. Disruption of the meiosis-enriched TAF4b gene on chromosome A7 universally reduced crossover frequency and depleted HEI10 foci, triggering occasional univalent formation. Global RNA-seq and structural modeling indicate that this phenotype is driven by a precise transcriptional dysregulation and altered molecular interactions restricted to the interphase/leptotene transition. In conclusion, TAF4b acts as a stage-specific upstream gatekeeper of the early prophase I expression program in B. rapa, thereby playing an essential, non-redundant role in its meiotic stability.

molecular biology↗

A Chemigenetic Fluorescence Lifetime Biosensor for Dopamine Sensing

Measuring the precise dynamics of specific neuromodulators in neurons is key to understanding how information is transmitted and processed in the brain. Despite the growing use of intensity-based neural activity sensors such as dLight in recent years, it remains challenging to monitor the dynamics of multiple neurochemicals simultaneously in live neurons. Unlike intensiometric sensors that are susceptible to artifacts caused by fluctuations in excitation power and rapid photobleaching, fluorescence lifetime-based sensors are less affected by these factors and can provide more stable measurements. Here we introduce dHaloLife635, a novel genetically encoded fluorescence-lifetime-based dopamine (DA) sensor that exhibits a fluorescence lifetime change up to -0.20 ns upon dopamine binding. dHaloLife635 consists of a G protein-coupled dopamine receptor (DRD1), a circularly permuted HaloTag (cpHaloTag), and a cell-permeable dye JF635 functionalized with a HaloTag ligand, a reactive chloroalkane linker (JF635-HTL). When dopamine binds to the dHaloLife635 sensor, it induces a conformational change in the cpHaloTag that alters the local environment of the conjugated dye, thereby changing its fluorescence lifetime. In live HEK293T cells and primary neurons, dHaloLife635 responds selectively to dopamine but not to serotonin, L-DOPA, or GABA, demonstrating excellent specificity. This dHaloLife635 sensor represents an initial step toward the establishment of a broader family of chemigenetic lifetime sensors that exhibit distinct fluorescence lifetime signatures upon binding their respective targets, thereby enabling highly specific and sensitive, real-time monitoring of multiple neurochemical dynamics in vivo.

bioengineering↗

Beyond codon optimality: codon pairs regulate mRNA stability dependent on translation

The coding sequence of an mRNA directs its own decay, yet how codons, codon context, and amino acids collectively regulate mRNA stability remains poorly understood. Here we use a massively parallel reporter assay to decode this regulatory layer in zebrafish embryos. We find that codon pairs and amino acid pairs regulate mRNA stability beyond the level of individual codons. This regulation depends on the identity and order of neighboring codons and their encoded amino acids in a translation-dependent manner. The relative contributions of codon and amino acid combinations to mRNA stability can be quantified using machine learning. We further found that endogenous mRNAs are regulated by codon pairs, thereby governing developmental gene regulation and biological function. This codon context-dependent decay requires deadenylation and decapping by Cnot7 and Dcp2, with Upf1 acting on long non-optimal ORFs. Together, our results redefine codon optimality as a context-dependent, pair-level code with implications for RNA biology and therapeutic mRNA design.

molecular biology↗

The human language processing system straightens natural speech

Large language models trained on next-word prediction have impressive linguistic capabilities. This suggests that the goal of temporal prediction is essential to language processing, but how this goal impacts the structure of speech representations in the human brain remains unknown. Here, we test the hypothesis that prediction is facilitated by the temporal straightening of representational trajectories along the speech processing hierarchy. We developed a methodology for measuring the curvature of these trajectories using fMRI. Our method exploits a previously unknown connection between the timescale of single-unit responses and the curvature of population trajectories. We examined brain responses of subjects listening to natural speech. Response trajectories were most curved in lower-level auditory areas and progressively straightened along the cortical hierarchy. We presented the same speech stimuli and perturbed versions thereof to wavLM--a speech representation model that is well aligned with human brain responses--and found that hierarchical straightening effects are strongest for stimuli whose statistical structure resembles natural speech. Together, our results establish a direct connection between the goal of temporal prediction, the geometry of neural speech representations, and the cortical hierarchy of representational timescales.

neuroscience↗

Translational Quantitative Proteomic Assay for Bacteriophages: A New Frontier in Phage Pharmaceutical Development

Accurate quantitation of therapeutic bacteriophages (phages) remains a challenge for clinical development. Plaque-based enumeration is the current standard but is laborious, host-dependent, and variable, particularly when distinguishing individual phages in cocktails. Targeted mass spectrometry of virion structural proteins offers an orthogonal, structure-based approach amenable to reproducible and scalable phage quantitation. Here, we describe a targeted proteomic liquid chromatography-tandem mass spectrometry (LC-MS/MS) assay for host-independent quantitation of the Pseudomonas aeruginosa podovirus LUZ19. Proteomic characterization was performed on an LTQ Orbitrap XL to assess sequence coverage and select surrogate peptide candidates based on specificity and sensitivity. High-resolution peptide mapping identified multiple structural proteins of LUZ19 and provided 55% sequence coverage for the major head protein (YP_001671977.1). Fifteen peptides were detected and evaluated, from which the tryptic peptide EVAELDGQELAR was selected based on abundance, stability, and chromatographic performance. Quantitative analysis was conducted on a QTRAP 7500+ using optimized multiple reaction monitoring transitions for targeted peptide detection. Back-calculated concentrations met accuracy criteria across a validated range of 0.008 to 80 pg/mL, with bias spanning -8.2 to 8.2%, intra-day precision ranging from 0.5 to 9.8%, and inter-day precision ranging from 6.3 to 9.7%. Peptide concentrations from digested lysate samples were related to phage concentrations determined by double layer agar assay, yielding an estimated three copies of the major head protein per virion. ImportanceBacteriophages are the most abundant biological entities on the planet and represent a promising therapeutic class for combating drug-resistant bacterial infections. Realizing the clinical potential of bacteriophage therapy requires analytical methods capable of meeting the standards of modern drug development. Targeted mass spectrometry offers unmatched specificity and resolution for precise quantitation of individual bacteriophages within complex biological samples, a capability that conventional enumeration methods cannot match. Only one prior study has applied mass spectrometry to bacteriophage quantitation, using a well-characterized model bacteriophage at a single concentration without calibration or a validated analytical range. Using Pseudomonas aeruginosa podovirus LUZ19, we present the first targeted mass spectrometry-based bacteriophage quantitation assay developed and validated following FDA bioanalytical guidance. This work establishes a rigorous analytical foundation that moves bacteriophage therapy closer to the standards required for informed dose selection, candidate evaluation, and clinical development.

pharmacology and toxicology↗

A BRRF1-CCR4-NOT axis underlies conserved transcriptome-wide loss of splicing fidelity during gammaherpesvirus reactivation

Gammaherpesvirus reactivation drives a collapse of host mRNA splicing fidelity that extends across the transcriptome, with exon skipping affecting up to [~]57% of expressed genes, exceeding the effects of depletion of any of 186 splicing factors. Combining five Epstein-Barr virus (EBV) and Kaposis sarcoma-associated herpesvirus (KSHV) reactivation systems across B cell and epithelial models with deep poly(A)+ RNA sequencing of purified lytic cells, we find that most induced isoforms are predicted to undergo nonsense-mediated decay or to lose conserved protein domains, broadly compromising cell cycle, innate immune and RNA-processing pathways. The phenotype arises independently of viral DNA replication, indicating early host remodeling. A screen of EBV early genes identifies BRRF1 as a key driver: through a CIY(Y/E) motif conserved in KSHV ORF49, BRRF1 engages the nuclear CCR4-NOT complex through its CNOT9 and CNOT1 subunits, hijacking this canonically cytoplasmic deadenylation hub for nuclear disruption of host splicing.

pathology↗

Altair-dvOPM: an open-access platform for large-field three-dimensional tissue imaging

Altair-dvOPM is an open-access direct-view oblique plane microscope designed for large-field, three-dimensional imaging of cleared and expanded tissue sections. By combining photographic-lens-based detection, externally launched oblique illumination and precision-registered modular baseplates, the system achieves micrometer-scale lateral resolution over a ~5.4 mm field of view without custom objectives or highly specialized alignment procedures. We demonstrate imaging across scales, from subcellular structures in expanded cells to centimeter-scale expanded tissue sections, and provide documentation, CAD files, Zemax models and open-source control software to support replication and extension.

biophysics↗

A High-Throughput Platform for Rapidly Adapting DNA Aptamers to SARS-CoV-2 Evolution

Rapid pathogen evolution threatens public health by eroding the effectiveness of vaccines, therapeutics, and diagnostic tools. Although spike protein targeting monoclonal antibodies (mAbs) were developed within 10-12 months of the initial outbreak to serve as key theranostic agents, their redesign has struggled to keep pace with viral evolution, rendering many neutralizing antibodies ineffective. Here we demonstrate a novel platform that combines a random-rational hybrid library diversification with high-throughput MiSeq screening to rapidly reprogram aptamers against emerging SARS-CoV-2 spike variants. Interactions between 3 different spike proteins and 11,806 unique aptamer variant designs were profiled within a few days. Starting from a 40-nt aptamer originally selected against wild-type (WT) spike protein, our screen identified a Delta-binding mutant with a 4-fold affinity improvement and an Omicron-binding mutant that converted undetectable binding into nanomolar affinity. We also identified a WT-selective mutant with substantially reduced affinity for Delta, as well as previously unrecognized bases that critically contribute to spike recognition. Integrating high-throughput binding data with molecular dynamics simulations further revealed sequence-dependent structural features underlying variant-specific aptamer-spike interactions. Finally, we developed a sensor based on the identified WT-selective aptamer mutant, enabling highly specific detection of the WT spike protein with robust performance. Together, this work establishes a rapid and adaptable aptamer engineering platform for rapid adaptation of aptamers to evolving pathogens in future pandemics.

bioengineering↗

AMICI: Attention Mechanism Interpretation of Cell-cell Interactions

Spatial transcriptomic data enable study of cell-cell communication, yet current analysis tools often fail to provide dynamic, interpretable estimates of interactions and their spatial range across tissue. We present AMICI, an interpretable attention framework that jointly estimates interaction length scales, adaptively resolves sender-receiver subpopulations, and links communication to downstream gene programs. AMICI recovers ground-truth interactions in semi-synthetic data, uncovers gene programs linked to cell communication in the mouse cortex, and reveals length-scale-dependent tumor-immune signaling that reinforces estrogen receptor (ER) programs in breast cancer.

bioinformatics↗

Inoculation with arbuscular mycorrhizal fungi can increase the concentration of PFAS compounds in cereal crops

Contamination of agricultural soils with per and poly-fluoroalkyl substances (PFAS) is now widespread and common throughout the world due to management practices such as biosolid application. Crop and pasture plants can readily take up and accumulate PFAS in their tissues, which eventually ends up in food products or livestock feed and presents health issues. We investigated whether arbuscular mycorrhizal (AM) fungi in the soil affect plant PFAS uptake in three important cereal crop species (barley, bread wheat, durum wheat), using a combination of soils that were artificially-spiked or naturally contaminated with PFAS. Spiking soil with PFAS did not interfere with AM colonisation of roots, nor did it detrimentally affect plant biomass. However, the shoots of all three plant species accumulated high concentrations of multiple short- and long-chain PFAS compounds. Inoculation with AM fungi led to increased concentration of all measured PFAS compounds in durum wheat shoots and several compounds in barley shoots, with no effect on any compounds in bread wheat shoots. The effect of AM fungal colonisation on PFAS concentrations in cereal plants is highly dependent on the nature of the soil PFAS contamination (i.e., the concentration and speciation) and the host plant species. It remains to be investigated whether AM fungi can directly take up PFAS from the soil.

plant biology↗

Endothelial Nucleoporin93 (Nup93) Maintains Vascular Function via Sun1-Dependent Regulation of RhoA-eNOS Signaling

As the innermost lining of blood vessels, endothelial cells (ECs) regulate blood flow, maintain vascular tone, and limit inflammation for vessel health. EC-derived nitric oxide (NO), synthesized by endothelial nitric oxide synthase (eNOS), is a vasodilator essential for improving blood flow and vascular homeostasis. The RhoA/ROCK pathway regulates eNOS levels, where overactivation decreases eNOS expression and downstream NO production. As such, RhoA/ROCK hyperactivity and increased pMLC have been identified as major contributors to age-associated vasoconstriction and hypertension. Intriguingly, recent studies identify Sun1, a key component of the linker of nucleoskeleton and cytoskeleton (LINC) complex, as a major regulator of RhoA/ROCK activity. Moreover, endothelial aging deteriorates nuclear pore complexes (NPCs) (i.e. nucleoporin [Nup93]) and impairs nucleocytoplasmic transport, thereby insinuating a role for nuclear envelope components in vessel homeostasis. Here, we show that targeted loss of endothelial Nup93 in adult mice significantly reduces eNOS expression and NO bioavailability for consequent defects in NO-dependent vasodilatory responses. In vitro knockdown of Nup93 in primary human ECs also decreases both eNOS expression and NO production. Mechanistically, we find that loss of Nup93 significantly reduces endothelial Sun1 levels for a concomitant increase in RhoA activity. Indeed, restoring Sun1 protein levels in Nup93-deficient ECs mitigates RhoA activity to rescue both eNOS expression and NO production. Taken together, we demonstrate endothelial Nup93, through Sun1 stabilization, as a novel regulator of eNOS-NO signaling and vessel reactivity, contributing to the growing importance of nuclear membrane components in EC and vascular biology.

cell biology↗

Smoothened inhibition of PKA at cilia transduces Hedgehog signals

Hedgehog (HH) signaling in vertebrates is dependent on the primary cilium, an organelle that scaffolds signal transduction. HH signals induce Smoothened (SMO) enrichment in the cilium and indirectly triggers the conversion of GLI proteins into transcriptional activators of HH target genes. Recently, SMO has been shown to inhibit protein kinase A (PKA). To test the hypothesis that SMO specifically inhibits PKA at cilia to activate the HH signal transduction pathway, we developed a ciliary PKA biosensor. Activation of the HH signal transduction pathway by either Sonic hedgehog (SHH) or SMO agonist (SAG) inhibited ciliary PKA activity. Blocking SMO phosphorylation by GRK2/3 prevented ciliary SMO from inhibiting ciliary PKA activity. Gi was dispensable for SMO inhibition of ciliary PKA. In contrast, mutating the SMO C-terminal tail protein kinase inhibitor (PKI) pseudosubstrate site interfered with the ability of SMO to inhibit ciliary PKA. Therefore, HH signaling is transduced via SMO direct inhibition of PKA at cilia, in a manner dependent on GRK2/3.

biochemistry↗

Depletion of Polypyrimidine tract binding protein 1 (ptbp1) activates Muller glia-derived proliferation during zebrafish retina regeneration via modulation of the senescence secretome

Polypyrimidine Tract Binding protein 1 (PTB) is an alternative splicing factor linked to neuronal induction and maturation. Previously, knockdown experiments supported a model in which PTB can function as a potent reprogramming factor, able to elicit direct glia-to-neuron conversion in vivo, in both the brain and retina. However, later lineage tracing and genetic knockouts of PTB did not support direct neuronal reprogramming. Nevertheless, consistent with the PTB depletion experiments, we show that antisense knockdown of PTB (ptbp1a) in the zebrafish retina can activate Muller glia-derived proliferation and that depletion of PTB can further enhance proliferation when combined with acute NMDA damage. The effects of PTB are consistent with a role in controlling key senescence and pro-inflammatory genes that are part of the senescence secretome that initiates retina regeneration.

cell biology↗

Analysis of The Senescence Secretome During Zebrafish Retina Regeneration

Zebrafish possess the innate ability to regenerate any lost or damaged retinal cell type with Muller glia serving as resident stem cells. Recently, we discovered that this process is aided by a population of damage-induced senescent immune cells. As part of the Senescence Associated Secretory Phenotype (SASP), senescent cells secrete numerous factors that can play a role in the modulation of inflammation and remodeling of the retinal microenvironment during regeneration. However, the identity of specific SASP factors that drive initiation and progression of retina regeneration remains unclear. Here, we mined the SASP Atlas and RNAseq datasets to identify differentially expressed SASP factors after retina injury, including two distinct acute damage regimens, as well as a chronic, genetic model of retina degeneration. We discovered a 31-factor "Regeneration-associated Senescence Signature" (RASS) that represents SASP factors and senescence markers that are conserved across all data sets and are upregulated after damage. Among these, we show that depletion of Nucleophosmin 1 (npm1a) inhibits retina regeneration. Our data support the model that differential expression of SASP factors promotes regeneration after both acute and chronic retinal damage.

cell biology↗

Effects of recombination on multi-drug resistance evolution in Plasmodium falciparum malaria

When multiple beneficial alleles are present in a population but not linked together in any one individual, there is no general evolutionary result that determines whether recombination will speed up or slow down the emergence and evolution of genotypes carrying multiple beneficial alleles. Translated to infectious disease control, this evolutionary uncertainty means that when multiple types of drug resistance are present we do not know whether recombination will act more strongly to (1) bring together single-resistant genotypes into multi-drug resistant (MDR) genotypes, or (2) break apart MDR genotypes into single-resistant genotypes. In this paper, we introduce a new version of an established and validated individual-based malaria transmission model where we have added individual mosquito bites, interrupted feeding by mosquitoes, 25 drug-resistance related loci, and individual recombination events of different Plasmodium falciparum genotypes inside the mosquito. Recombination among P. falciparum genotypes in this model occurs from two sources of variation, multi-clonal infections and interrupted feeding by mosquitoes, and we show that 80% to 97% of MDR recombinant falciparum genotypes are projected to occur from single uninterrupted bites on hosts with multi-clonal infections (for malaria prevalence > 5%). Increases in the models interrupted feeding rate slowly increase the number of recombination events occurring from interrupted feeds. A comparison of drug-resistance management strategies with this new model shows that, over a 15-year timeframe, triple artemisinin-combination therapies (ACT) strategies show the largest reductions in treatment failures and the longest delays until artemisinin resistance reaches a critical 1% threshold. Multiple first-line therapies (MFT) are second best under these criteria, and ACT cycling approaches are third best. MFT strategies generate a greater diversity of recombinant genotypes but fewer recombination events generating MDR and slower emergence of these recombinant MDR genotypes.

evolutionary biology↗

Fluorogenic Aptamer Optimizations on a Massively Parallel Sequencing Platform

Fluorogenic aptamers (FAPs) have become an increasingly important tool in cellular sensing and pathogen diagnostics. However, fine-tuning FAPs for enhanced performance remains challenging even with the structural details provided by X-ray crystallography. Here we present a novel approach to optimize a DNA-based FAP (D-FAP), Lettuce, on repurposed Illumina next-generation sequencing (NGS) chips. When substituting its cognate chromophore, DFHBI-1T, with TO1-biotin, Lettuce not only shows a red-shifted emission peak by 53 nm (from 505 to 558 nm), but also a 4-fold bulk fluorescence enhancement. After screening 8,821 Lettuce variants complexed with TO1-biotin, the C14T mutation is found to exhibit an improved apparent dissociated constant ([Formula] vs. 0.82 {micro}M), an increased quantum yield (QY: 0.62 vs. 0.59) and an elongated fluorescence lifetime ({tau}: 6.00 vs. 5.77 ns), giving 45% more ensemble fluorescence than the canonical Lettuce/TO1-biotin complex. Molecular dynamic simulations further indicate that the {pi}-{pi} stacking interaction is key to determining the coordination structure of TO1-biotin in Lettuce. Our screening-and-simulation pipeline can effectively optimize FAPs without any prior structural knowledge of the canonical FAP/chromophore complexes, providing not only improved molecular probes for fluorescence sensing but also insights into aptamer-chromophore interactions.

biophysics↗

Assessing the Effects of Various Physiological Signal Modalities on Predicting Different Human Cognitive States

Robust estimation of systemic human cognitive states is critical for many applications, from simply detecting inefficiencies in human task performance to adapting the behaviors of artificial agents to improve team performance in mixed-initiative human-machine teams. Here we use comprehensive analyses of a multi-modal dataset from a multi-tasking driving experiment to provide systematic evidence that percentage change in pupil size (PCPS) in human eye gaze is the most reliable biomarker for assessing three human cognitive states relevant to task performance: workload, sense of urgency, and mind wandering. Specifically, we performed comprehensive statistical tests that establish the superior performance of PCPS compared other physiological signals like electroencephalogram (EEG), functional near-infrared spectroscopy (fNIRS), respiration, arterial blood pressure (ABP), and skin conductance. Based on the eye gaze data, we also characterized the relation between workload and sense of urgency, observing that consecutive occurrences of higher sense of urgency tended to increase overall workload. We also trained five state-of-the-art machine learning models on the data to determine their potential for predicting the three systemic cognitive states across subjects, showing that four of them had similar highest accuracy in cognitive state classification based on PCPS (with one, random forest, showing inferior performance). In combination with the statistical analyses, the comparative modeling results demonstrate that PCPS, in contrast to prior findings in the literature, represents the optimal method for estimating the three performance-relevant cognitive states.

neuroscience↗

Nucleoporin93 (Nup93) Limits Yap Activity to Prevent Endothelial Cell Senescence

Endothelial cells (ECs) form the innermost lining of the vasculature and serve a pivotal role in preventing age-related vascular disease. Endothelial health relies on the proper nucleocytoplasmic shuttling of transcription factors via nuclear pore complexes (NPCs). Emerging studies report NPC degradation with natural aging, suggesting impaired nucleocytoplasmic transport in age-related EC dysfunction. We herein identify nucleoporin93 (Nup93), a crucial structural NPC protein, as an indispensable player for vascular protection. Endothelial Nup93 protein levels are significantly reduced in the vasculature of aged mice, paralleling observations of Nup93 loss when using in vitro models of endothelial aging. Mechanistically, we find that loss of Nup93 impairs NPC transport, leading to the nuclear accumulation of Yap and downstream inflammation. Collectively, our findings indicate maintenance of endothelial Nup93 as a key determinant of EC health, where aging targets endothelial Nup93 levels to impair NPC function as a novel mechanism for EC senescence and vascular aging.

physiology↗