Biology subjects

Bui, D. T.

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

4 recordsLinked to original sources

bioRxiv2026

The Q226H Mutation in Avian H5N1 Hemagglutinin Mediates a Path towards Structural Adaptation in Humans

The global outbreak of highly pathogenic avian influenza (HPAI) A(H5N1) among birds and the spillover to mammals increases the risk for humans. A recent case in British Columbia with a clade 2.3.4.4b H5 virus infection revealed a mixture of 226Q/H in the receptor-binding site of hemagglutinin. While significant changes in pre-existing immunity by H1 or H3 polyclonal sera are not evident, we show that the Q226H mutation enables binding to human-type a2-6 sialic acid receptors. High-resolution cryo-EM structures provide a basis for the alteration in receptor preference and show that a possible path towards human adaptation also requires a conformational change of the bound a2-6-sialylated glycan. Continued surveillance for additional mutations that could enhance this phenotype is warranted.

immunology↗

bioRxiv2025

Tracking biological hallucinations in single-cell perturbation predictions using scArchon, a comprehensive benchmarking platform

The accurate prediction of cellular responses to perturbations, such as drug treatments, remains a pivotal challenge in single-cell transcriptomics. While numerous deep learning tools have been developed for this task, their systematic benchmarking across diverse datasets and performance metrics has been limited. Here, we present scArchon, a reproducible, modular benchmarking platform built on Snakemake, designed to evaluate perturbation response prediction tools in an unbiased and extensible manner. Employing four representative single-cell RNA-seq datasets, we compare leading methods such as scGen, CPA, trVAE, scPRAM, scVIDR, scDisInFact, SCREEN, scPreGAN, and CellOT against baselines. We assess model performance using a composite of statistical and biological metrics. Our analysis reveals heterogeneous performance: while methods like trVAE, scGen, scPRAM, and scVIDR achieve robust results across multiple datasets, other tools occasionally underperform even compared to linear or control baselines. Notably, models with favorable quantitative scores may fail to retain key biological perturbation signatures, underscoring the need for gene-level evaluation. scArchon provides a unified, extensible foundation for large-scale, standardized benchmarking of perturbation prediction tools, facilitating methodological transparency and accelerating development in this rapidly evolving field. We encourage adoption of scArchon and sharing of containerized tools to drive progress in single-cell perturbation modeling.

bioinformatics↗

bioRxiv2021

Carbohydrate sulfation as a mechanism for fine-tuning Siglec ligands

The immunomodulatory family of Siglecs recognize sialic acid-containing glycans as self, which is exploited in cancer for immune-evasion. The biochemical nature of Siglec ligands remains incompletely understood with emerging evidence suggesting the importance of carbohydrate sulfation. Here, we investigate how specific sulfate modifications affect Siglec ligands by overexpressing eight carbohydrate sulfotransferases (CHSTs) in five cell lines. Overexpression of three CHSTs (CHST1, CHST2, or CHST4) significantly enhances the binding of numerous Siglecs. Unexpectedly, two other CHSTs (Gal3ST2 and Gal3ST3) diminish Siglec binding, suggesting a new mode to modulate Siglec ligands via sulfation. Results are cell type dependent, indicating that the context in which sulfated glycans are presented is important. Moreover, pharmacological blockade of N- and O-glycan maturation reveals a cell type-specific pattern of importance for either class of glycan. Production of a highly homogenous CD33 (Siglec-3) fragment enabled a mass spectrometry-based binding assay to determine 10-fold and 3-fold enhanced affinity for Neu5Ac2-3(6-O-sulfo)Gal{beta}1-4GlcNAc and Neu5Ac2-3Gal{beta}1-4(6-O- sulfo)GlcNAc, respectively, over Neu5Ac2-3Gal{beta}1-4GlcNAc. CD33 showed significant additivity in affinity (36-fold) for the disulfated ligand, Neu5Ac2-3(6-O-sulfo)Gal{beta}1-4(6-O-sulfo)GlcNAc. Moreover, overexpression of both CHST1 and CHST2 in cells greatly enhanced the binding of several Siglecs, including CD33. Finally, we reveal that CHST1 is upregulated in numerous cancers, correlating with poorer survival rates and sodium chlorate sensitivity for the binding of Siglecs to cancer cell lines. These results provide new insights into carbohydrate sulfation as a modification that is a general mechanism for tuning Siglec ligands on cells, including in cancer.

immunology↗

bioRxiv2021

Sialic acid-Dependent Binding and Viral Entry of SARS-CoV-2

Emerging evidence suggests that host glycans influence infection by SARS-CoV-2. Here, we reveal that the receptor-binding domain (RBD) of the spike (S)-protein on SARS-CoV-2 recognizes oligosaccharides containing sialic acid (SA), with preference for the oligosaccharide of monosialylated gangliosides. Gangliosides embedded within an artificial membrane also bind the RBD. The monomeric affinities (Kd = 100-200 M) of gangliosides for the RBD are similar to heparan sulfate, another negatively charged glycan ligand of the RBD proposed as a viral coreceptor. RBD binding and infection of SARS-CoV-2 pseudotyped lentivirus to ACE2-expressing cells is decreased upon depleting cell surface SA level using three approaches: sialyltransferase inhibition, genetic knock-out of SA biosynthesis, or neuraminidase treatment. These effects on RBD binding and pseudotyped viral entry are recapitulated with pharmacological or genetic disruption of glycolipid biosynthesis. Together, these results suggest that sialylated glycans, specifically glycolipids, facilitate viral entry of SARS-CoV-2.

biochemistry↗