Biology subjects

Chan, K. C.

Publications and source records attributed to Chan, K. C..

11 recordsLinked to original sources

bioRxiv2026

PARP inhibitor synthetic lethality reveals homologous recombination sub-pathway architecture

The DNA damage response (DDR) is a complex network of interconnected pathways and sub-pathways that safeguards genome integrity. Deciphering the coordinated and complementary interactions among these pathways remains a major challenge. In this study, we employed CRISPR screening to systematically map the genetic interactions required for different sub-pathways of homologous recombination in human cells following PARP inhibitor treatment. Our approach recapitulated known interactions and uncovered several previously unrecognized connections. We identified RAD54L, in addition to ATRX, as a factor promoting the double Holliday junction (dHJ) pathway and demonstrated that RAD51AP1 and RAD54B function in synthesis-dependent strand annealing (SDSA). We provide evidence that loss of TOP3A induces a switch in HR sub-pathway usage from SDSA to the dHJ pathway. Furthermore, TOP3A deficiency abolishes the requirement for ATRX and the histone variant H3.3 in the dHJ pathway, while maintaining strict dependence on RAD54L. We further observed that H3.3 is involved in both HR sub-pathways, whereas its depositing chromatin remodelers HIRA and ATRX play pathway-specific roles in SDSA and dHJ, respectively. Together, our findings define the architecture underlying HR sub-pathway choice and reveal a key role for TOP3A in regulating pathway balance.

molecular biology↗

bioRxiv2025

Assessing computational strategies for the evaluation of antibody binding affinities.

Accurate evaluation of binding affinity is critical in drug discovery to identify molecules that bind strongly to their targets while minimizing off-target effects. Although binding affinity calculations are theoretically well-defined, they require exhaustive sampling of configurational space, a step that often requires significant computational resources. In this study, we compare different methods for calculating the binding energy of antibodies targeting a peptide derived from the N-terminus of CXCR2, a GPCR-family protein. Contrary to some previous reports, we find that equilibrium MMPBSA calculations yield better agreement with experimental binding affinities than non-equilibrium potential of mean force evaluations, underscoring the system-dependent performance of these methods. We also observed a modest improvement in accuracy when MMPBSA is combined with replica exchange molecular dynamics, albeit at a significantly higher computational cost. Calculation based on Rosetta force field, instead, produced results that did not correlate with the experimental data. We attribute these findings to two factors, which could limit the applicability of some methodologies that are widely used in the computation the binding energy: the high potency of the antibodies studied and the dominance of hydrophobic interactions between the antibodies and the peptide. Overall, this work provides important insights for optimizing in silico antibody screening strategies.

biophysics↗

bioRxiv2025

Reengineering the antigen optimization process for superior neoantigen vaccine design

Identifying effective neoantigen sequences is essential for enhancing anti-tumor immunity. However, the vast sequence space (>109 possible peptides) and limited accuracy of existing immunogenicity predictors hinder efficient vaccine design for patient-specific human leukocyte antigens (HLAs). We present AlphaVacc, a deep reinforcement learning framework that integrates Monte Carlo Tree Search with a Transformer-based network to optimize antigenic peptides. AlphaVacc outperforms previous generative models in binding-affinity prediction. Experimental validation of 12 AlphaVacc-generated variants of the BING-4 peptide confirmed that 11 showed increased HLA-A*02:01 binding and 7 elicited significant T cell responses. Further testing of 16 single-mutation peptides confirmed computational predictions for 15 candidates, exhibiting a remarkable success rate. AlphaVacc thus provides a powerful tool for designing neoantigen-based cancer vaccines and may accelerate personalized immunotherapies.

bioinformatics↗

bioRxiv2025

Stimulus-driven cerebrospinal fluid dynamics is impaired in glaucoma patients

Cerebrospinal fluid (CSF) dynamics, driven by sensory stimulation-induced neuronal activity, is crucial for maintaining homeostasis and clearing metabolic waste. However, it remains unclear whether such CSF flow is impaired in age-related neurodegenerative diseases of the visual system. This study addresses this gap by examining CSF flow during visual stimulation in glaucoma patients and healthy older adults using functional magnetic resonance imaging. The findings reveal that in glaucoma, CSF inflow becomes decoupled from visually evoked blood-oxygenation-level-dependent (BOLD) response. Furthermore, stimulus-locked CSF patterns, characterized by decreases following stimulus onset and increases after offset, diminish as glaucoma severity worsens. Mediation analysis suggests that this flattened CSF pattern is driven by a flatter BOLD slope, resulting in a shallower CSF trough and a reduced rebound. These findings unveil a novel pathophysiological mechanism underlying disrupted stimulation-driven CSF dynamics in glaucoma and highlight potential in vivo biomarkers for monitoring CSF in the glaucomatous brain.

neuroscience↗

bioRxiv2024

Multi-strategies embedded framework for neoantigen vaccine maturation

Effective cancer immunotherapy hinges on the precise recognition of neoantigens, presented as binary complexes with major histocompatibility complex (MHC) molecules, by T cell receptors (TCR). The development of immunogenic peptide predictors and generators plays a central role in personalizing immunotherapies while reducing experimental costs. However, the current methods often fall short in leveraging structural data efficiently and providing comprehensive guidance for neoantigen selection. To address these limitations, we introduce NEOM, a novel neoantigen maturation framework encompassing five distinct modules: "policy", "structure", "evaluation", "selection" and "filter". This framework is designed to enhance precision, interpretability, customizability and cost-effectiveness in neoantigen screening. We evaluated NEOM using a set of random synthetic peptides, followed by available clinically-derived peptides. NEOM achieved higher performance on generated peptide quality compared to other baseline models. Using established predictors for filtering revealed a substantial number of peptides with immunogenic potential. Subsequently, a more rigorous binding affinity evaluation using free energy perturbation methods identified 6 out of 38 candidates showing superior binding characteristics. MHC tetramer peptide exchange assays and flow cytometry experiments further validate five of them. These results demonstrate that NEOM not only excels in identifying diverse peptides with enhanced binding stability and affinity for MHC molecules but also augments their immunogenic potential, showcasing its utility in advancing personalized immunotherapies.

bioinformatics↗

bioRxiv2024

Genomic signatures of the evolution of loss of egg yolk in parasitoid wasps

Trait regression and loss have occurred repeatedly in numerous lineages throughout evolutionary history in response to changing environments. In parasitoid wasps, a mega-diverse group of hymenopteran insects, loss or reduction of yolk in the egg has been reported in many species. This phenotypic change likely evolved as a response to the shift from ectoparasitism to endoparasitism. However, the genetic basis of this trait and the impact of its loss on genome evolution remain poorly understood. Here, we performed a comparative genomic analysis of 64 hymenopteran insects. The conserved insect yolk protein gene vitellogenin (Vg) underwent five independent loss events in four families, involving 23 of the analyzed endoparasitoid species. Whole-genome alignment suggested that Vg loss occurred during genome rearrangement events. Analysis of Vg receptor gene (VgR) loss, selection, and structural variation in lineages lacking Vg demonstrated functional biases in the patterns of gene loss. The ectoparasitism to endoparasitism transition did not appear to be the primary driver of Vg loss or the subsequent VgR evolution. A number of parallel and convergent genomic changes were observed between Vg-loss lineages, including gene family evolution and selection of genes related to transport, development, and metabolism. These changes may have facilitated embryonic development without the yolk in these lineages. Together, these findings reveal the genomic basis underlying a unique trait loss in parasitoid wasps. More broadly, this study enhances our understanding of yolk loss evolution outside the class Mammalia, highlighting a potential evolutionary trend arising from the availability of an alternative nutrient source for embryonic development.

evolutionary biology↗

bioRxiv2023

Apposed networks of interacting TCRs and BCRs exhibiting mosaicked CDR3 sequences made of fixed junctional motifs

T and B cells are the two arms of the adaptive immune system that mediate cellular and humoral immunity, respectively, using highly diverse repertoires of antigen receptors. T cells recognize antigens using the T cell receptor (TCR), whereas B cells use the B cell receptor (BCR or surface immunoglobulin). Complementary determining regions (CDR3) of TCRs and BCRs are randomly generated through somatic VDJ recombination and nucleotide deletions and insertions at the V-D and D-J junctions. Contrary to this paradigm, here we describe two networks of millions of TCR{beta} and IGH clonotypes that are made from only two CDR3 sequences and associated with more 63 diseases. The TCR{beta} network members bore either the prototypic signature CDR3 sequence (CASSPGTEAFF), its N-terminal VD motif (CASSPGT) recombined with various J{beta} segments (CASSPGT-J{beta}x) or its DJ{beta} motif recombined with various V{beta} (V{beta}x-PGTEAFF). The BCR network members exhibit one signature CDR3 sequence (CARx1-4DTAMVYYFYDW) made from an invariant DJH motif (DTAMVYYFDYW) combined with various VH genes. The prototypes of the two networks are apparently teleogically related as they were dually expressed on the rare population of dual expresser (DE) lymphocytes and molecular dynamic simulations show that they were interacting partners. We conclude that members of the two networks represent a core set of evolutionary-conserved primordial antigen receptors that play fundamental roles in host defense and autoimmune diseases.

immunology↗

bioRxiv2023

A converged ubiquitin-proteasome pathway for the degradation of TOC and TOM tail-anchored receptors

In plants, thousands of nucleus-encoded proteins translated in the cytosol are sorted to chloroplasts and mitochondria by binding to specific receptors of the TOC (translocon at the outer membranes of chloroplasts) and the TOM (translocon at the outer membranes of mitochondria) complexes for import into those organelles. The degradation pathways for these receptors are unclear. Here, we discovered a converged ubiquitin-proteasome pathway for the degradation of Arabidopsis thaliana TOC and TOM tail-anchored receptors. The receptors are ubiquitinated by E3 ligase(s) and pulled from the outer membranes by the AAA+ ATPase CDC48, after which a previously characterized cytosolic protein, TTOP, binds to the exposed transmembrane domains (TMDs) at the C termini of the receptors and CDC48, and delivers these complexes to the 26S proteasome.

plant biology↗

bioRxiv2021

Global and network functional connectivity of nucleus basalis of Meynert is strengthened in blind individuals

Plasticity in the brain is differentially affected by age of blindness onset. One possible, but not yet identified mechanism is that the cholinergic signals originating from the nucleus basalis of Meynert may underlie differential extent of plasticity in early and late blind individuals. This prospect is based on the fact that the nucleus basalis of Meynert modulates cortical processes such as plasticity and sensory encoding and that the degree of cross-modal plasticity varies depending on the age of blindness onset. However, this question yet remains largely unclear. Here, we tested whether the early and late blind individuals develop dissociable plasticity in the nucleus basalis of Meynert using multi-parametric magnetic resonance imaging. We found the relatively preserved volumetric size and cerebrovascular reactivity, but significant disruption in the white matter integrity of the nucleus basalis of Meynert in both early and late blind individuals. Critically, despite its reduction in the white matter integrity, the nucleus basalis of Meynert of early blind individuals presented greater global and network functional connectivity including visual, language, and default-mode networks. Such changes in the functional connectivity were not observed in the late-blind individuals. Further, less duration of the visual experience was associated with greater global and network functional connectivity. These results indicate that the nucleus basalis of Meynert is differentially involved in the plasticity of early and late blind individuals - a similar amount of reduction in microstructural integrity in early and late blind individuals, but stronger and more widespread functional connectivity of the NBM in the early blind individuals. Our findings suggest that the nucleus basalis of Meynert may develop greater cholinergic influence on the cortex of early blind individuals. Such change may explain why early blind individuals present stronger and more widespread cross-modal plasticity during non-visual tasks compared to late blind individuals.

neuroscience↗

bioRxiv2021

Structure-guided bifunctional molecules hit a DEUBAD-lacking hRpn13 species upregulated in multiple myeloma

Proteasome substrate receptor hRpn13 is a promising anti-cancer target. By integrated in silico and biophysical screening, we identified a chemical scaffold that binds hRpn13 with non-covalent interactions that mimic the proteasome and a weak electrophile for Michael addition. hRpn13 Pru domain binds proteasomes and ubiquitin whereas its DEUBAD domain binds deubiquitinating enzyme UCHL5. NMR revealed lead compound XL5 to interdigitate into a hydrophobic pocket created by lateral movement of a Pru {beta}-hairpin with an exposed end for Proteolysis Targeting Chimeras (PROTACs). Implementing XL5-PROTACs as chemical probes identified a DEUBAD-lacking hRpn13 species (hRpn13Pru) present naturally with cell type-dependent abundance. XL5-PROTACs preferentially target hRpn13Pru, causing its ubiquitination. Gene-editing and rescue experiments established hRpn13 requirement for XL5-PROTAC-triggered apoptosis and increased p62 levels. These data establish hRpn13 as an anti-cancer target for multiple myeloma and introduce an hRpn13-targeting scaffold that can be optimized for preclinical trials against hRpn13Pru-producing cancer types.

molecular biology↗

bioRxiv2020

Gpr125 Plays Critical Roles in Lacrimal Myoepithelia and Tear Film

Gpr125, encoded by Adgra3, is an orphan adhesion G-protein coupled receptor (aGPCR) implicated in modulating Wnt signaling and planar polarity. Here we establish both physiological and pathological roles for Gpr125. We show that mice lacking Gpr125 or its signaling domains display an ocular phenotype with many hallmarks of human dry eye syndrome. These include squinting, abnormal lacrimation, mucus accumulation, swollen eyelids and inflammatory infiltration of lacrimal and meibomian glands. Utilizing a Gpr125-{beta}-gal reporter and scRNAseq, we identify Gpr125 expression in a discrete population of cells located at the tips of migrating embryonic lacrimal ducts. By lineage tracing we show these cells function as progenitors of the adult lacrimal myoepithelium. Beyond defining an essential role for Gpr125 in tear film and identifying its utility as a marker of lacrimal progenitors, this study implicates Gpr125 in the etiology of blepharitis and dry eye syndrome, and defines novel animal models of these common maladies.

developmental biology↗