Biology subjects

Wong, C. H.

Publications and source records attributed to Wong, C. H..

11 recordsLinked to original sources

bioRxiv2026

Long-read MitoScope reveals tissue-resolved somatic mitochondrial variation and landscape of nuclear-embedded mitochondrial sequences

The mitochondrial genome (mtDNA), rich in repeats and prone to nuclear mitochondrial DNA segments (NUMTs), drives somatic mosaicism implicated in cancer, metabolic syndromes, and neurodegeneration, yet short-read sequencing yields incomplete catalogs, mapping artifacts, and false heteroplasmies. Here, we introduce MitoScope, a scalable long-read workflow to assemble mtDNA, perform high-fidelity variant calling, resolve heteroplasmy, and characterize NUMTs in benchmarking tissues from the Somatic Mosaicism Across Human Tissues (SMaHT) Network. MitoScope shows high sensitivity and precision, determines copy number, and uncovers low-frequency variants. We define an age- and tissue-dependent landscape of mtDNA mosaicism, including low-frequency pathogenic heteroplasmies, a bimodal heteroplasmy spectrum shaped by purifying selection, and age-accumulating deletions enriched for microhomology. Parallel profiling of NUMTs identifies high-confidence events with >2-fold more NUMTs than short-read surveys--with evidence of nonrandom trinucleotide contexts at breakpoints. These findings expose pervasive, tissue-resolved somatic mtDNA and NUMT instability with direct relevance for variant interpretation, aging, and human disease.

genomics↗

bioRxiv2024

Extrachromosomal DNA Associates with Nuclear Condensates and Reorganizes Chromatin Structures to Enhance Oncogenic Transcription

Extrachromosomal, circular DNA (ecDNA) is a prevalent oncogenic alteration in cancer genomes, often associated with aggressive tumor behavior and poor patient outcome. While previous studies proposed a chromatin-based mobile enhancer model for ecDNA-driven oncogenesis, its precise mechanism and impact remains unclear across diverse cancer types. Our study, utilizing advanced multi-omics profiling, epigenetic editing, and imaging approaches in three cancer models, reveals that ecDNA hubs are an integrated part of nuclear condensates and exhibit cancer-type specific chromatin connectivity. Epigenetic silencing of the ecDNA-specific regulatory modules or chemically disrupting liquid-liquid phase separation breaks down ecDNA hubs, displaces MED1 co-activator binding, inhibits oncogenic transcription, and promotes cell death. These findings substantiate the trans-activator function of ecDNA and underscore a structural mechanism driving oncogenesis. This refined understanding expands our views of oncogene regulation and opens potential avenues for novel therapeutic strategies in cancer treatment.

genomics↗

bioRxiv2024

Urban wastewater contains a functional human antibody repertoire of mucosal origin

Wastewater-based surveillance of human disease offers timely insights to public health, helping to mitigate infectious disease outbreaks and decrease downstream morbidity and mortality. These systems rely on nucleic acid amplification tests for monitoring disease trends, while antibody-based seroprevalence surveys gauge community immunity. However, serological surveys are resource-intensive and subject to potentially long lead times and sampling bias. We identified and characterized a human antibody repertoire, predominantly secretory IgA, isolated from a central wastewater treatment plant and building-scale wastewater collection points. These antibodies partition to the solids fraction and retain immunoaffinity for SARS-CoV-2 and Influenza A virus antigens. This stable pool could enable real-time tracking of correlates of vaccination, infection, and immunity, aiding in establishing population-level thresholds for immune protection and assessing the efficacy of future vaccine campaigns, particularly those that are designed to induce humoral mucosal immunity.

immunology↗

bioRxiv2023

Genome-scale requirements for dynein-based trafficking revealed by a high-content arrayed CRISPR screen

The cytoplasmic dynein-1 (dynein) motor plays a key role in cellular organisation by transporting a wide variety of cellular constituents towards the minus ends of microtubules. However, relatively little is known about how the biosynthesis, assembly and functional diversity of the motor is orchestrated. To address this issue, we have conducted an arrayed CRISPR loss-of-function screen in human cells using the distribution of dynein-tethered peroxisomes and early endosomes as readouts. From a guide RNA library targeting 18,253 genes, 195 validated hits were recovered and parsed into those impacting multiple dynein cargoes and those whose effects are restricted to a subset of cargoes. Clustering of high-dimensional phenotypic fingerprints generated from multiplexed images revealed co-functional genes involved in many cellular processes, including several candidate novel regulators of core dynein functions. Mechanistic analysis of one of these proteins, the RNA-binding protein SUGP1, provides evidence that it promotes cargo trafficking by sustaining functional expression of the dynein activator LIS1. Our dataset represents a rich source of new hypotheses for investigating microtubule-based transport, as well as several other aspects of cellular organisation that were captured by our high-content imaging.

cell biology↗

bioRxiv2021

Endosomal Acidification by NHE6-depletion Corrects ApoE4-mediated Synaptic Impairments and Reduces Amyloid Plaque Load

Apolipoprotein E4 (ApoE4) is the most important and prevalent risk factor for late-onset Alzheimers disease (AD). The isoelectric point of ApoE4 matches the pH of the early endosome (EE), causing its delayed dissociation from ApoE receptors and hence impaired endolysosomal trafficking, disruption of synaptic homeostasis and reduced amyloid clearance. We have shown that enhancing endosomal acidification by inhibiting the EE-specific sodium-hydrogen exchanger NHE6 restores vesicular trafficking and normalizes synaptic homeostasis. Remarkably and unexpectedly, loss of NHE6 effectively suppressed amyloid deposition even in the absence of ApoE4, suggesting that accelerated acidification of early endosomes caused by the absence of NHE6 occludes the effect of ApoE on amyloid plaque formation. NHE6 suppression or inhibition may thus be a universal, ApoE-independent approach to prevent amyloid buildup in the brain. These findings suggest a novel therapeutic approach for the prevention of AD by which partial NHE6 inhibition reverses the ApoE4 induced endolysosomal trafficking defect and reduces amyloid.

neuroscience↗

bioRxiv2021

Subgenomic RNAs as molecular indicators of asymptomatic SARS-CoV-2 infection

In coronaviridae such as SARS-CoV-2, subgenomic RNAs (sgRNA) are replicative intermediates, therefore, their abundance and structures could infer viral replication activity and severity of host infection. Here, we systematically characterized the sgRNA expression and their structural variation in 81 clinical specimens collected from symptomatic and asymptomatic individuals with a goal of assessing viral genomic signatures of disease severity. We demonstrated the highly coordinated and consistent expression of sgRNAs from individuals with robust infections that results in symptoms, and found their expression is significantly repressed in the asymptomatic infections, indicating that the ratio of sgRNAs to genomic RNA (sgRNA/gRNA) is highly correlated with the severity of the disease. Using long read sequencing technologies to characterize full-length sgRNA structures, we also observed widespread deletions in viral RNAs, and identified unique sets of deletions preferentially found primarily in symptomatic individuals, with many likely to confer changes in SARS-CoV-2 virulence and host responses. Furthermore, based on the sgRNA structures, the frequently occurred structural variants in SARS-CoV-2 genomes serves as a mechanism to further induce SARS-CoV-2 proteome complexity. Taken together, our results show that differential sgRNA expression and structural mutational burden both appear to be correlated with the clinical severity of SARS-CoV-2 infection. Longitudinally monitoring sgRNA expression and structural diversity could further guide treatment responses, testing strategies, and vaccine development.

microbiology↗

bioRxiv2019

The Establishment of CDK9/ RNA PolII/H3K4me3/DNA Methylation Feedback Promotes HOTAIR Expression by RNA Elongation Enhancement in Cancer

Long non-coding RNA HOX Transcript Antisense RNA (HOTAIR) is overexpressed in multiple cancers with diverse genetic profiles, which heavily contributed to cancer progression. However, the underlying mechanism leading to HOTAIR deregulation is largely unexplored. Here, we revealed that gene body methylation promoted HOTAIR expression through enhancing the transcription elongation process in cancer. We linked up the aberrant gene body histone and DNA methylation in promoting transcription elongation via phosphorylation of Polymerase II Ser 2 by CDK7-CDK9, and elucidated the mechanism of a positive feedback loop involving CDK7, MLL1 and DNMT3A in promoting gene body methylation and overexpressing HOTAIR. To our knowledge, this is the first time to demonstrate that a positive feedback loop that involved CDK9-mediated phosphorylation of PolII and histone and gene body methylation induced robust transcriptional elongation, which heavily contributed to the upregulation of oncogenic lncRNA in cancer.

cancer biology↗

bioRxiv2019

Ectopic HOTTIP Expression Induces Non-canonical Transactivation Pathways to Promote Growth and Invasiveness in Pancreatic Ductal Adenocarcinoma

LncRNA HOTTIP (HOXA transcript at the distal tip) is upregulated in pancreatic ductal adenocarcinoma (PDAC). However, oncogenic pathway mediated by HOTTIP is not fully understood. We identified canonical HOTTIP-HOXA13 targets: CYP26B1, CLIC5, CHI3L1 and UCP2 which were responsible for cell growth and cell invasion. Importantly, genome-wide analysis revealed that 38% of the genes regulated by HOTTIP contained H3K4me3 and HOTTIP enrichment at their promoters, without HOXA13 binding. HOTTIP complexed with WDR5-MLL1 to trans-activate oncogenic proteins CYB5R2, SULT1A1, KIF26A, SLC1A4 and TSC22D1 through directly triggering H3K4me3 at their promoters. The WDR5, MLL1 and H3K4me3 levels at their promoters and their expression levels were sensitive to HOTTIP overexpression and knockdown. These suggested the importance of non-canonical trans-acting HOTTIP-WDR5-MLL1 pathway in HOTTIP-regulatory mechanism by promoting the expression of oncogenic proteins. Furthermore, we dissected the mechanism by which HOTTIP was regulated by miR-497 in PDAC. Analysis of PDAC human tissues also revealed that HOTTIP was negatively correlated with miR-497 level. Our findings demonstrated that HOTTIP, upregulated in PDAC due to the loss of inhibitory miR-497, promoted PDAC progression through canonical HOTTIP-HOXA13 axis and a novel non-canonical trans-acting HOTTIP-WDR5-MLL1-H3K4me3 pathway.

cancer biology↗

bioRxiv2019

CircFOXK2 Promotes Tumor Growth and Metastasis of Pancreatic Ductal Adenocarcinoma via Complexing with RNA Binding Proteins and Sponging MiR-942

ObjectiveCircular RNA (circRNA) is a novel class of non-coding RNAs that regulate gene expression. However, the role of circRNAs in pancreatic ductal adenocarcinoma (PDAC) is largely unknown.\n\nDesignWe performed circRNA sequencing of non-tumor HPDE and PDAC cells. We investigated the functions of circFOXK2 in PDAC by gain-of-function and loss-of-function assays. Bioinformatics analysis, luciferase assay and microRNA pulldown assays were performed to identify circFOXK2 interacting-miRNAs. To further investigate the mechanism, we performed circRNA-pulldown and mass spectrometry to identify circFOXK2-interacting proteins in PDAC.\n\nResultsWe identified 169 differentially expressed circRNAs in PDAC cells. We validated that one of the circRNAs circFOXK2 was significantly up-regulated in PDAC cells and in 63 % of primary tumor (53 out of 84). Gain-of-function and loss-of-function assays demonstrated that circFOXK2 promoted PDAC cell growth, migration and invasion. CircFOXK2 was also involved in cell cycle progression and apoptosis. circFOXK2 functioned as sponge for miR-942, and in turn promoted the expression of miR-942 targets ANK1, GDNF and PAX6. Furthermore, circFOXK2 interacted with 94 proteins, which were involved in cell adhesion and mRNA splicing. Among these circFOXK2-interacting proteins, YBX1 and hnRNPK were validated by RNA immunoprecipitation. Importantly, circFOKX2 interacted with YBX1 and hnRNPK targets NUF2 and PDXK in PDAC cells. Knockdown of circFOXK2 reduced the binding of YBX1 and hnRNPK to NUF2 and PDXK, and in turn decreased their expressions in PDAC cells.\n\nConclusionWe identified that circFOXK2 promoted PDAC cells growth and metastasis. Also, circFOXK2 complexed with YBX1 and hnRNPK to promote the expressions of oncogenic proteins.\n\nSignificance of this studyWhat is already known on this subject?\n\nO_LIDifferentially expressed circRNAs are involved in carcinogenesis of many cancers.\nC_LIO_LICircRNAs function as microRNA sponges to regulate gene expression.\nC_LIO_LIThe roles of circRNAs in PDAC progression is largely unknown.\nC_LI\n\nWhat are the new findings?\n\nO_LIcircFOXK2 is upregulated in PDAC primary tumors.\nC_LIO_LIcircFOXK2 promotes PDAC tumor growth and liver metastasis.\nC_LIO_LIcircFOXK2 functions as sponges for miR-942 to promote the expressions of oncogenic ANK1, GDNF and PAX6.\nC_LIO_LIcircFOXK2 complexes with YBX1 and hnRNPK to promote the expressions of oncogenic proteins in PDAC.\nC_LI\n\nHow might it impact on clinical practice in the foreseeable future?\n\nO_LIcircFOXK2 upregulation in PDAC may function as a novel biomarker for diagnosis.\nC_LIO_LIcircFOXK2 may be a novel therapeutic target in treating PDAC.\nC_LI

cancer biology↗

bioRxiv2018

Infer related genes from large gene expression dataset with embedding

Artificial neural networks (ANNs) have been utilized for classification and prediction task with remarkable accuracy. However, its implications for unsupervised data mining using molecular data is under-explored. We adopted a method of unsupervised ANN, namely word embedding, to extract biologically relevant information from TCGA gene expression dataset. Ground truth relationship, such as cancer types of the input sample and semantic meaning of genes, were showed to retain in the resulting entity matrices. We also demonstrated the interpretability and usage of these matrices in shortlisting candidates from a long gene list. This method is feasible to mine big volume of biological data, and would be a valuable tool to discover novel knowledge from omics data. The resulting embedding matrices mined from TCGA gene expression data are interactively explorable online (http://bit.ly/tcga-embedding-cancer) and could serve as an informative reference.

cancer biology↗

bioRxiv2018

Multiplex Chromatin Interaction Analysis with Single-Molecule Precision

We describe a microfluidics-based strategy for genome-wide analysis of multiplex chromatin interactions with single-molecule precision. In multiplex chromatin interaction analysis (multi-ChIA), individual chromatin complexes are partitioned into droplets that contain a gel bead with unique DNA barcode, in which tethered chromatin DNA fragments are barcoded and amplified for sequencing and mapping to demarcate chromatin contacts. Thus, multi-ChIA has the unprecedented ability to uncover multiplex chromatin interactions at single-molecule level, which has been impossible using previous methods that rely on analyzing pairwise contacts via proximity ligation. We demonstrate that multiplex chromatin interactions predominantly contribute to topologically associated domains, and clusters of gene promoters and enhancers provide a fundamental topological framework for co-transcriptional regulation.

genomics↗