Biology subjects

XU, S.

Publications and source records attributed to XU, S..

4 recordsLinked to original sources

bioRxiv2025

Multiscale analysis and optimal glioma therapeutic candidate discovery using the CANDO platform

Glioma is a highly malignant brain tumor with limited treatment options. We employed the Computational Analysis of Novel Drug Opportunities (CANDO) platform for multiscale therapeutic discovery to predict new glioma therapies. We began by computing interaction scores between extensive libraries of drugs/compounds and proteins to generate "interaction signatures" that model compound behavior on a proteomic scale. Compounds with signatures most similar to those of drugs approved for a given indication were considered potential treatments. These compounds were further ranked by degree of consensus in corresponding similarity lists. We benchmarked performance by measuring the recovery of approved drugs in these similarity and consensus lists at various cutoffs, using multiple metrics and comparing results to random controls and performance across all indications. Compounds ranked highly by consensus but not previously associated with the indication of interest were considered new predictions. Our benchmarking results showed that CANDO improved accuracy in identifying glioma-associated drugs across all cutoffs compared to random controls. Our predictions, supported by literature-based analysis, identified 23 potential glioma treatments, including approved drugs like vitamin D, taxanes, vinca alkaloids, topoisomerase inhibitors, and folic acid, as well as investigational compounds such as ginsenosides, chrysin, resiniferatoxin, and cryptotanshinone. Further functional annotation-based analysis of the top targets with the strongest interactions to these predictions identified Vitamin D3 receptor, thyroid hormone receptor, acetylcholinesterase, cyclin-dependent kinase 2, tubulin alpha chain, dihydrofolate reductase, and thymidylate synthase. These findings indicate that CANDOs multitarget, multiscale framework is effective in identifying glioma drug candidates thereby informing new strategies for improving treatment.

bioinformatics↗

bioRxiv2024

Imaging and quantification of prostate cancer-associated bone by polarization-sensitive optical coherence tomography

Prostate cancer frequently metastasizes to bone, leading to a spectrum of osteosclerotic and osteolytic lesions that cause debilitating symptoms. Accurate differentiation of bone tissue or lesion types can provide opportunity for local pathologic investigation, which is critical for understanding the bone metastasis and remains challenging. Current imaging methods lack the ability to directly differentiate tissues based on collagen organization and may induce invasive effect on bone tissues. We introduce Polarization-Sensitive Optical Coherence Tomography (PS-OCT) to investigate normal, osteosclerotic, and osteolytic bone tissues. High-resolution PS-OCT imaging reveals collagen fiber arrangement, enabling nuanced distinction of degree of collagen alignment among different bone tissue types or regions. We present a novel feature named degree of ordered organization (DOO), derived from the multiple contrasts of PS-OCT that can quantitatively evaluate bone samples from different pathologic groups, including control,osteoblastic and osteolytic tissues. The capacity of PS-OCT to differentiate trabecular/lamellar and irregular (woven bone) regions within the same specimen is tested and validated on ex-vivo samples extracted from 13 subjects. Our study is the first time that PS-OCT is applied to metastatic bone disease with the aim of enhancing the understanding of bone-related pathologies, and potentially impacting clinical practice. This work demonstrates that PS-OCT can provide useful insight into bone microstructures, and thus it has potential applications across diverse bone disorders.

biophysics↗

bioRxiv2023

MetaQuad: Shared Informative Variants Discovery in Metagenomic Samples

MotivationStrain-level analysis of metagenomic data has garnered significant interest in recent years. Microbial single nucleotide polymorphisms (SNPs) are genomic variants that can reflect strain-level differences within a microbial species. The diversity and emergence of SNPs in microbial genomes may reveal evolutionary history and environmental adaptation in microbial populations. However, efficient discovery of shared polymorphic variants in a large collection metagenomic samples remains a computational challenge. ResultsMetaQuad employs a density-based clustering technique to efficiently differentiate shared variants from non-polymorphic sites using shotgun metagenomic data. Empirical comparisons with other state-of-the-art methods show that MetaQuad significantly reduces the number of false-positive SNPs without greatly affecting the true-positive rate. We used MetaQuad to identify antibiotic-associated variants in patients who underwent Helicobacter pylori eradication therapy. MetaQuad detected 7,591 variants across 529 antibiotic resistance genes. The nucleotide diversity of some genes is increased six weeks after antibiotic treatment, potentially indicating the role of these genes in specific antibiotic treatments. AvailabilityMetaQuad is an open-source Python package available via https://github.com/holab-hku/MetaQuad. Contactjwkho@hku.hk Supplementary informationSupplementary data are available at XXXX online.

genomics↗

bioRxiv2022

SRRM2 organizes splicing condensates to regulate alternative splicing

SRRM2 is a nuclear-speckle marker containing multiple disordered domains, whose dysfunction is associated with several human diseases. Using mainly EGFP-SRRM2 knock-in HEK293T cells, we show that SRRM2 forms biomolecular condensates satisfying most hallmarks of liquid-liquid phase separation, including spherical shape, dynamic rearrangement, coalescence, and concentration dependence supported by in vitro experiments. Live-cell imaging shows that SRRM2 organizes nuclear speckles along the cell cycle. As bona-fide splicing factor present in spliceosome structures, SRRM2 deficiency induces skipping of cassette exons with short introns and weak splice sites, tending to change large protein domains. In THP-1 myeloid-like cells, SRRM2 depletion compromises cell viability, upregulates differentiation markers, and sensitizes cells to anti-leukemia drugs. SRRM2 induces a FES splice isoform that attenuates innate inflammatory responses, and MUC1 isoforms that undergo shedding with oncogenic properties. We conclude that SRRM2 acts as a scaffold to organize nuclear speckles, regulating alternative splicing in innate immunity and cell homeostasis.

molecular biology↗