Publications by authors named "Y-M Dennis Lo"

The discovery of circulating fetal and tumor cell-free DNA (cfDNA) molecules in plasma has opened up tremendous opportunities in noninvasive diagnostics such as the detection of fetal chromosomal aneuploidies and cancers and in posttransplantation monitoring. The advent of high-throughput sequencing technologies makes it possible to scrutinize the characteristics of cfDNA molecules, opening up the fields of cfDNA genetics, epigenetics, transcriptomics, and fragmentomics, providing a plethora of biomarkers. Machine learning (ML) and/or artificial intelligence (AI) technologies that are known for their ability to integrate high-dimensional features have recently been applied to the field of liquid biopsy.

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The concentration of circulating cell-free DNA (cfDNA) in plasma is an important determinant of the robustness of liquid biopsies. However, biological mechanisms that lead to inter-individual differences in cfDNA concentrations remain unexplored. The concentration of plasma cfDNA is governed by an interplay between its release and clearance.

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Article Synopsis
  • The study focuses on analyzing cell-free DNA (cfDNA) to determine its tissue origin, which is important for research and diagnostics, utilizing a new technique called FRAGHA that looks at fragmentation patterns linked to histone modifications.
  • The research demonstrated strong correlations between specific histone modification signals, such as H3K27ac, and various medical conditions, including fetal DNA presence in maternal plasma and liver cancer detection.
  • Machine learning algorithms were employed to improve early detection of liver cancer, showcasing how cfDNA fragmentomics can enhance the effectiveness of liquid biopsies in clinical settings.
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  • Cell-free DNA (cfDNA) analysis, particularly through a method called FRAGMAXR, can detect and monitor diseases by examining nucleosomal patterns linked to DNA methylation around CpG sites.* -
  • The study found that patients with hepatocellular carcinoma (HCC) exhibited distinct cfDNA nucleosomal patterns that changed based on tumor stage, allowing for effective cancer detection using machine learning.* -
  • The research indicates that these cfDNA patterns could serve as valuable biomarkers for cancer detection and noninvasive prenatal testing, demonstrating strong correlation with established genetic measurements.*
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The tissues of origin of plasma DNA can be revealed by methylation patterns. However, the relative DNA contributions from megakaryocytes and erythroblasts into plasma appeared inconsistent among studies. To shed light into this phenomenon, we developed droplet digital PCR (ddPCR) assays for the differential detection of contributions from these cell types in plasma based on megakaryocyte-specific and erythroblast-specific methylation markers.

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Background: The analysis of haplotypes of variants is important for pharmacogenomics analysis and noninvasive prenatal testing for monogenic diseases. However, there is a lack of robust methods for targeted haplotyping.

Methods: We developed digital PCR haplotype sequencing (dHapSeq) for targeted haplotyping of variants, which is a method that compartmentalizes long DNA molecules into droplets.

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Recent studies have revealed an unexplored population of long cell-free DNA (cfDNA) molecules in human plasma using long-read sequencing technologies. However, the biological properties of long cfDNA molecules (>500 bp) remain largely unknown. To this end, we have investigated the origins of long cfDNA molecules from different genomic elements.

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Background: The relationship between placental pathology and the maternal syndrome of preeclampsia is incompletely characterized. Mismatch between placental nutrient supply and fetal demands induces stress in the syncytiotrophoblast, the layer of placenta in direct contact with maternal blood. Such stress alters the content and increases the release of syncytiotrophoblast extracellular vesicles (STB-EVs) into the maternal circulation.

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  • A follow-up screening study evaluated the long-term significance of positive Epstein–Barr virus (EBV) DNA results in individuals previously screened for nasopharyngeal cancer (NPC).
  • Out of 17,838 participants rescreened, 423 had persistently detectable EBV DNA, which led to the identification of 24 cases of NPC, with a significantly higher proportion being early-stage cancers compared to historical data.
  • The results indicate that individuals with detectable EBV DNA were considerably more likely to be diagnosed with NPC in subsequent screenings, highlighting the potential of EBV DNA analysis for improvement in early detection and survival rates.
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Objective: Long cell-free DNA (cfDNA) can be found in the plasma of pregnant women and cancer patients. We investigated if droplet digital PCR (ddPCR) can analyze such molecules for diagnostic purposes using preeclampsia as a model.

Method: Plasma samples from ten preeclamptic and sixteen normal pregnancies were analyzed.

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Liquid biopsy using cell-free DNA (cfDNA) has gained global interest as a molecular diagnostic tool. However, the analysis of cfDNA in cancer patients and pregnant women has been focused on short DNA molecules (e.g.

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Cell-free DNA (cfDNA) fragmentation is nonrandom, at least partially mediated by various DNA nucleases, forming characteristic cfDNA end motifs. However, there is a paucity of tools for deciphering the relative contributions of cfDNA cleavage patterns related to underlying fragmentation factors. In this study, through non-negative matrix factorization algorithm, we used 256 5' 4-mer end motifs to identify distinct types of cfDNA cleavage patterns, referred to as "founder" end-motif profiles (F-profiles).

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Background: Nuclear-derived cell-free DNA (cfDNA) molecules in blood plasma are nonrandomly fragmented, bearing a wealth of information related to tissues of origin. DNASE1L3 (deoxyribonuclease 1 like 3) is an important player in shaping the fragmentation of nuclear-derived cfDNA molecules, preferentially generating molecules with 5 CC dinucleotide termini (i.e.

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Background: Recent studies using single molecule, real-time (SMRT) sequencing revealed a substantial population of analyzable long cell-free DNA (cfDNA) in plasma. Potential clinical utilities of such long cfDNA in pregnancy and cancer have been demonstrated. However, the performance of different long-read sequencing platforms for the analysis of long cfDNA remains unknown.

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Cell-free DNA (cfDNA) fragmentation patterns contain important molecular information linked to tissues of origin. We explored the possibility of using fragmentation patterns to predict cytosine-phosphate-guanine (CpG) methylation of cfDNA, obviating the use of bisulfite treatment and associated risks of DNA degradation. This study investigated the cfDNA cleavage profile surrounding a CpG (i.

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Physician-scientists have epitomized the blending of deep, rigorous impactful curiosity with broad attention to human health for centuries. While we aspire to prepare all physicians with an appreciation for these skills, those who apply them to push the understanding of the boundaries of human physiology and disease, to advance treatments, and to increase our knowledge base in the arena of human health can fulfill an essential space for our society, economies, and overall well-being. Working arm in arm with basic and translational scientists as well as expert clinicians, as peers in both groups, this career additionally serves as a bridge to facilitate the pace and direction of research that ultimately impacts health.

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Urinary cell-free DNA (ucfDNA) is a potential biomarker for bladder cancer detection. However, the biological characteristics of ucfDNA are not well understood. We explored the roles of deoxyribonuclease 1 (DNASE1) and deoxyribonuclease 1-like 3 (DNASE1L3) in the fragmentation of ucfDNA using mouse models.

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Hepatocellular carcinoma (HCC) is one of the most prevalent and lethal causes of cancer-related death worldwide. The treatment of HCC remains challenging and is largely predicated on early diagnosis. Surveillance of high-risk groups using abdominal ultrasonography, with or without serum analysis of α-fetoprotein (AFP), can permit detection of early, potentially curable tumours, but is limited by its insensitivity.

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Background: Analysis of circulating tumor DNA has become increasingly important as a tool for cancer care. However, the focus of previous studies has been on short fragments of DNA. Also, bisulfite sequencing, a conventional approach for methylation analysis, causes DNA degradation, which is not ideal for the assessment of long DNA properties and methylation patterns.

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Cell-free DNA (cfDNA) in bodily fluids has rapidly transformed the development of noninvasive prenatal testing, cancer liquid biopsy, and transplantation monitoring. Plasma cfDNA consists of a mixture of molecules originating from various bodily tissues. The study of the fragmentation patterns of cfDNA, also referred to as 'fragmentomics', is now an actively pursued area of biomarker research.

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Cell-free extrachromosomal circular DNA (eccDNA) as a distinct topological form from linear DNA has recently gained increasing research interest, with possible clinical applications as a class of biomarkers. In this study, we aimed to explore the relationship between nucleases and eccDNA characteristics in plasma. By using knockout mouse models with deficiencies in deoxyribonuclease 1 (DNASE1) or deoxyribonuclease 1 like 3 (DNASE1L3), we found that cell-free eccDNA in Dnase1l3-/- mice exhibited larger size distributions than that in wild-type mice.

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