Biology subjects

Ong, J.

Publications and source records attributed to Ong, J..

11 recordsLinked to original sources

bioRxiv2026

Lung FDG-PET is an early pharmacodynamic biomarker of antiviral efficacy in preclinical influenza

Background. Influenza remains a major cause of global morbidity and mortality. Pharmacodynamic biomarkers that quantify treatment response within the lung could accelerate influenza therapeutic development. We evaluated [18F]-fluorodeoxyglucose positron emission tomography ([18F]-FDG-PET) as a non-invasive biomarker of antiviral efficacy. Methods. Serial [18F]-FDG-PET was evaluated in two murine H1N1 influenza models using mouse-adapted PR8 strain and CA-09 clinical isolate following treatment with favipiravir, baloxavir marboxil, or ribavirin. PET measures were compared with pulmonary viral burden, inflammatory cytokine expression, computed tomography (CT) imaging, and respiratory function measured by whole-body plethysmography (WBP). Results. Antiviral treatment in PR8 infection model reduced lung [18F]-FDG uptake by 27-49% and metabolic lung volume (MLV) by 40.5-74.6% (both p < 0.001). Antiviral response was detectable as early as 3 days post-infection, when uptake decreased by 28.7-53.2% and MLV by 33.8-75.0%. Lung uptake also strongly correlated with MLV (r = 0.93, p < 0.001) and with pulmonary viral burden and inflammatory mediators. These findings were reproduced in a model of pandemic H1N1/CA-09, where baloxavir reduced uptake by 37.4% (p = 0.02) and MLV by 67.5% (p < 0.001) at day 3. In both models, changes in [18F]-FDG-PET parameters preceded improvements in lung CT and respiratory function. Conclusions. Lung [18F]-FDG-PET provides an early, quantitative measure of antiviral response in experimental influenza, supporting its further evaluation as a translational pharmacodynamic endpoint.

microbiology↗

bioRxiv2026

Development of a Microdroplet-Based Functional Genomic Screening pipeline by combination of DNA Nanoflowers and PURExpress Cell-Free Expression

We present a microfluidic workflow that couples reconstituted in vitro transcription-translation (IVTT) with ultra-high-throughput droplet screening to directly link genotype and phenotype within complex, heterogeneous DNA pools. The approach employs DNA nanoflowers as clonal, high-copy templates, enabling robust protein expression from single DNA molecules encapsulated in picoliter droplets. When integrated with fluorescence-assisted microdroplet sorting (FADS) and a DNA recovery pipeline that reconstituted selected libraries for subsequent iterative rounds, the platform achieves approximately 400-500-fold enrichment per selection cycle and supports functional discovery and directed evolution entirely independent of host cell expression. As a proof of principle, we demonstrate recovery of the recombinase RecA from an E. coli genomic library screened for single-stranded DNA binders, highlighting the platforms capability to identify DNA-interacting and DNA-modifying enzymes. By eliminating host-derived background activity and toxicity constraints that often complicate lysate- or cell-based metagenomic screens, this method expands access to enzyme classes that have historically been difficult to assay.

bioengineering↗

bioRxiv2025

In silico discovery of pathogenic PD-L1 nsSNVs with altered glycosylation and immunotherapy binding

Immune checkpoint inhibitors (ICIs), particularly anti-PD-L1 monoclonal antibodies, block extracellular interactions between programmed death ligand-1 (PD-L1) and programmed cell death protein-1 (PD-1) to enhance antitumour immunity. Here, we present a streamlined workflow integrating public databases, bioinformatics tools, and in silico molecular dynamics (MD) simulations and in vitro experimental assays to identify consequential pathogenic nonsynonymous PD-L1 variants (PD-L1SNVs). Four variants predicted as pathogenic across six bioinformatic tools (SIFT, PolyPhen-2, PANTHER, SNP-PhD, SNP&GO, and Pmut) destabilized the anti-PD-L1 ICI atezolizumab-drug binding epitope in MD studies, correlating with reduced drug affinity. Live-cell assays directly linked PD-L1SNVs to intracellular trafficking defects and aberrant glycosylation, even distal from N-glycosylation sites. Allostery modeling (AlloSigMA) linked these disruptions to long-range structural perturbations. Our work establishes bioinformatics-driven predictions of functionally impactful pathogenic PD-L1SNVs and highlight how glycosylation/trafficking defects may serve as key mechanisms compromising therapeutic efficacy. These insights in predicting and validating pathogenic PD-L1SNVs has significant implications for guiding the personalized selection of effective PD-L1-targeted therapies in clinical settings. One Sentence Summary: Uncovering the implication of non-synonymous single nucleotide variants (nsSNVs) on the structure and function of Programmed Death Ligand-1.

bioinformatics↗

bioRxiv2025

Single-cell omics-based characterization of human basophils reveals two transcriptionally distinct populations

BackgroundBasophils are implicated in various diseases including allergies, but a comprehensive characterization of human basophils has yet to be performed at the single-cell level. ObjectiveWe aimed to generate a single-cell omics-based resource of circulating human basophils, to be made accessible to the research community. We also sought to investigate basophil heterogeneity at the transcriptional and surface epitope levels. MethodsCirculating basophils were analyzed using short- and long-read single-cell RNA-sequencing in combination with large-scale immunoprofiling of more than 100 cell surface markers. ResultsWe used a cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) based cell barcoding system to accurately track side scatterlow lineage- CCR3+ Fc{varepsilon}RI+ basophils through the single-cell omics analysis. The approach allowed for accurate transcriptional profiling of basophils among low-density peripheral blood leukocytes. The generation of an additional dataset with only basophils revealed two transcriptionally distinct populations. Single-cell transcriptomic analysis of samples from additional donors was performed and coupled with a large-scale immunoprofiling screen, producing a third CITE-seq dataset containing basophils. The analysis verified the existence of the two transcriptionally distinct populations and revealed that these populations have similar immunophenotypes with regard to the investigated surface markers. Long-read single-cell RNA-sequencing analysis provided further insights into the gene expression dynamics of the circulating basophils and confirmed the transcriptionally defined basophil states. ConclusionsThe single-cell omics analysis revealed two transcriptionally distinct basophil populations. Our single-cell omics resource constitutes a reference for charting human basophils at the cellular and molecular levels in health and disease. Capsule summaryShort- and long-read single-cell RNA-sequencing coupled with large-scale immunoprofiling characterize human basophils in peripheral blood and reveal two transcriptionally distinct populations.

immunology↗

bioRxiv2024

The discovery of 5mC-selective deaminases and their application to ultra-sensitive direct sequencing of methylated sites at base resolution.

Mining phages for new enzymatic activities continues to be important for the development of new tools for biotechnology. In this study, we used MetaGPA--a method linking genotype to phenotype in metagenomic data--to identify deoxycytidine deaminases, a protein family highly associated with cytosine modifications in metaviromes. Unexpectedly, a subset of these deaminases exhibited a preference for 5-methylcytosine (5mC) over cytosine (C) in both mononucleotide and single-stranded DNA substrates. In a methylome sequencing workflow, preferential deamination of 5mC by these enzymes enabled direct conversion of methylated cytosine while completely eliminating any background deamination of unmodified cytosine. This direct conversion allows for precise identification of methylated sites at single-base resolution with unmatched sensitivity enabling broad applications for the simultaneous sequencing of genome and methylome.

genomics↗

bioRxiv2024

E. coli do not count single molecules

Organisms use specialized sensors to measure their environments, but the fundamental principles that determine their accuracy remain largely unknown. In Escherichia coli chemotaxis, we previously found that gradient-climbing speed is bounded by the amount of information that cells acquire from their environment, and that E. coli operate near this bound. However, it remains unclear what prevents them from acquiring more information. Past work argued that E. colis chemosensing is limited by the physics of molecules stochastically arriving at cells receptors, without direct evidence. Here, we show instead that E. coli are far from this physical limit. To show this, we develop a theoretical approach that uses information rates to quantify how accurately behaviorally-relevant signals can be estimated from available observations: molecule arrivals for the physical limit; chemotaxis signaling activity for E. coli. Measuring these information rates in single-cell experiments across multiple background concentrations, we find that E. coli encode two orders of magnitude less information than the physical limit. Thus, E. coli chemosensing is limited by internal noise in signal processing rather than the physics of molecule diffusion, motivating investigation of what specific physical and biological constraints shaped the evolution of this prototypical sensory system.

biophysics↗

bioRxiv2024

A chemically defined and xeno-free hydrogel system for regenerative medicine.

Biofabricated scaffolds facilitate bona fide cellular interactions, cell type specification, and the formation of three-dimensional tissue architecture from human pluripotent stem cells (hPSCs). However, xenogenic biomaterials are poorly defined, and synthetic biomaterials remain underdeveloped and understudied, hindering regulatory approval for clinical use and preventing the translation of lab-grown therapies. Here, we describe a protein screen-based hydrogel system biofabricated from clinical-grade human components. We show that "Alphagel", a base hydrogel comprising human embryonic matrices, supports the trilineage differentiation of hPSCs into neural, cardiac, and liver tissue. Alphagel is also shown to be biocompatible and biodegradable in vivo. Further, upon adding select proteins from maturing human foetal liver to Alphagel, we show that the resulting hydrogel (termed "Hepatogel") enhances the differentiation of hPSC-derived hepatocytes (H-iHeps) compared with Matrigel. Importantly, when injected into mice livers, Hepatogel significantly improves the retention of H-iHeps compared to standard aqueous cell injections. Altogether, our results provide proof of concept that customisable and organ-specific hydrogel systems are a valuable tool for developing clinically translatable therapies for regenerative medicine and tissue engineering.

bioengineering↗

bioRxiv2022

Improving the fidelity of uridine analog incorporation during in vitro transcription.

In vitro transcribed synthetic messenger RNAs (mRNAs) represent a novel therapeutic modality and are currently being evaluated for a wide range of clinical indications. To overcome the inherent immunogenicity of the synthetic mRNAs, as well as to increase the therapeutic efficacy of the molecules, RNA sequence optimization is routinely performed and modified uridine analogs--such as pseudouridine ({Psi}) and N1-methyl-pseudouridine (m1{Psi}), are incorporated in the synthetic mRNA. To decipher the fidelity with which these modifications are incorporated during the in vitro transcription (IVT) process, here, we compared, the incorporation fidelity of uridine, {Psi}, or m1{Psi} in multiple RNA sequences with different single-subunit DNA-dependent RNA polymerases (ssRNAPs). By comparing the incorporation of each modified base to that of the unmodified equivalent, we demonstrate that m1{Psi} is incorporated with higher fidelity than {Psi}. Furthermore, the various ssRNAPs exhibit different error rates; however, the spectrum of mutations observed between the RNAPs is similar. We also show that the array of nucleotide misincorporation is not dependent on the template DNA sequence context and that the distribution of these misincorporated nucleotides is not localized to any specific region along the length of the RNA. Based on our findings, we introduce a novel protocol to improve uridine analog incorporation--without affecting total RNA yield--during IVT. Our proof-of-concept experiments and protocol for higher-fidelity incorporation of uridine analogs during IVT provide guidelines when choosing ssRNAPs for the generation of modified uridine--containing mRNAs in vitro.

molecular biology↗

bioRxiv2021

Densified Collagen Tubular Grafts for Human Tissue Replacement and Disease Modelling Applications

There is a significant need across multiple indications for an off-the-shelf bioengineered tubular graft which fulfils the mechanical and biological requirements for implantation and function but does not necessarily require cells for manufacture or deployment. Herein, we present a tissue-like tubular construct using a cell-free, materials-based method of manufacture, utilizing densified collagen hydrogel. Our tubular grafts are seamless, mechanically strong, customizable in terms of lumen diameter and wall thickness, and display a uniform fibril density across the wall thickness and along the tube length. While the method enables acellular grafts to be generated rapidly, inexpensively, and to a wide range of specifications, the cell-compatible densification process also enables a high density of cells to be incorporated uniformly into the walls of the tubes, which we show can be maintained under perfusion culture. Additionally, the method enables tubes consisting of distinct cell domains with cellular configurations at the boundaries which may be useful for modelling aortic disease. Further, we demonstrate additional steps which allow for luminal surface patterning. These results highlight the universality of this approach and its potential for developing the next generation of bioengineered grafts.

bioengineering↗

bioRxiv2020

Multiplex CRISPRi-Cas9 silencing of planktonic and stage-specific biofilm genes in Enterococcus faecalis

Enterococcus faecalis is an opportunistic pathogen, which can cause multidrug-resistant life-threatening infections. Gaining a complete understanding of enterococcal pathogenesis is a crucial step in identifying a strategy to effectively treat enterococcal infections. However, bacterial pathogenesis is a complex process often involving a combination of genes and multi-level regulation. Compared to established knockout methodologies, CRISPRi approaches enable rapid and efficient silencing of genes to interrogate gene products and pathways involved in pathogenesis. As opposed to traditional gene inactivation approaches, CRISPRi can also be quickly repurposed for multiplexing or used to study essential genes. Here we have developed a novel dual-vector nisin-inducible CRISPRi system in E. faecalis that can efficiently silence via both non-template and template strand targeting. Since nisin-controlled gene expression system is functional in various Gram-positive bacteria, the developed CRISPRi tool can be extended to other genera. This system can be applied to study essential genes, genes involved in antimicrobial resistance, and genes involved in biofilm formation and persistence. The system is robust, and can be scaled up for high-throughput screens or combinatorial targeting. This tool substantially enhances our ability to study enterococcal biology and pathogenesis, host-bacteria interactions, and inter-species communication. IMPORTANCEEnterococcus faecalis causes multidrug resistant life-threatening infections, and is often co-isolated with other pathogenic bacteria from polymicrobial biofilm-associated infections. Genetic tools to dissect complex interactions in mixed microbial communities are largely limited to transposon mutagenesis and traditional time- and labour-intensive allelic exchange methods. Built upon streptococcal dCas9, we developed an easily-modifiable, inducible CRISPRi system for E. faecalis that can efficiently silence single and multiple genes. This system can silence genes involved in biofilm formation, antibiotic resistance, and can be used to interrogate gene essentiality. Uniquely, this tool is optimized to study genes important for biofilm initiation, maturation, and maintenance, and can be used to perturb pre-formed biofilms. This system will be valuable to rapidly and efficiently investigate a wide range of aspects of complex enterococcal biology.

microbiology↗

bioRxiv2018

Liquid biopsy in gastrointestinal stromal tumors -- Simultaneous detection of primary and secondary mutations with an NGS based circulating tumor DNA assay

Introduction Introduction Methods Results Discussion References Gastrointestinal Stromal tumors (GISTs) are the most common neoplasms of mesenchymal origin arising from the gastrointestinal tract. GISTs are mostly characterised by one predominant activating mutation in KIT (KIT proto-oncogene receptor tyrosine kinase) or PDGFRA (platelet derived growth factor receptor alpha) genes1-3. Under pharmacological pressure, one or more secondary mutations can develop in KIT, conferring resistance to tyrosine kinase inhibitor, imatinib. In imatinib-resistant GISTs, secondary mutations can occur in the ATP binding pocket, encoded by exons 13 and 14 or in the kinase activation loop, encoded predominantly by exon 174. In vitro studies ha ...

molecular biology↗