Publications by authors named "Haizi Zheng"

Analysis of DNA methylation in cell-free DNA reveals clinically relevant biomarkers but requires specialized protocols such as whole-genome bisulfite sequencing. Meanwhile, millions of cell-free DNA samples are being profiled by whole-genome sequencing. Here, we develop FinaleMe, a non-homogeneous Hidden Markov Model, to predict DNA methylation of cell-free DNA and, therefore, tissues-of-origin, directly from plasma whole-genome sequencing.

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Article Synopsis
  • The analysis of DNA methylation in cell-free DNA (cfDNA) can identify important biomarkers but is complicated by the need for special protocols and sufficient material.
  • Millions of cfDNA samples have been sequenced, leading to the development of FinaleMe, a Hidden Markov Model designed to predict methylation patterns from plasma whole-genome sequencing.
  • The model's effectiveness was tested with 80 pairs of data from deep and shallow-coverage whole-genome sequencing and whole-genome bisulfite sequencing.
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Cis-regulatory elements are coordinated to regulate the expression of their targeted genes. However, the joint measurement of cis-regulatory elements' activities and their interactions in spatial proximity is limited by the current sequencing approaches. We describe a method, NOMe-HiC, which simultaneously captures single-nucleotide polymorphisms, DNA methylation, chromatin accessibility (GpC methyltransferase footprints), and chromosome conformation changes from the same DNA molecule, together with the transcriptome, in a single assay.

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The fine-scale cell-free DNA fragmentation patterns in early-stage cancers are poorly understood. We developed a de novo approach to characterize the cell-free DNA fragmentation hotspots from plasma whole-genome sequencing. Hotspots are enriched in open chromatin regions, and, interestingly, 3'end of transposons.

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Article Synopsis
  • * Researchers performed single-cell profiling of human fetal cerebella to map the different cellular states in MBs, discovering a unique transitional progenitor that connects stem cells to neurons and is common in aggressive MB forms.
  • * By analyzing gene regulatory networks, they found that specific factors (HNRNPH1 and SOX11) linked to poor prognosis in group 3 MBs can be targeted to inhibit tumor growth, revealing new potential pathways for treatments.
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Summary: Circulating cell-free DNA (cfDNA) is a promising biomarker for the diagnosis and prognosis of many diseases, including cancer. The genome-wide non-random fragmentation patterns of cfDNA are associated with the nucleosomal protection, epigenetic environment and gene expression in the cell types that contributed to cfDNA. However, current progress on the development of computational methods and understanding of molecular mechanisms behind cfDNA fragmentation patterns is significantly limited by the controlled-access of cfDNA whole-genome sequencing (WGS) dataset.

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Extracellular RNAs (exRNAs) are present in human serum. It remains unclear to what extent these circulating exRNAs may reflect human physiologic and disease states. Here, we developed SILVER-seq (Small Input Liquid Volume Extracellular RNA Sequencing) to efficiently sequence both integral and fragmented exRNAs from a small droplet (5 μL to 7 μL) of liquid biopsy.

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Using a magnetic tweezers (MT) apparatus and an atomic force microscope (AFM), we studied the condensation of DNA induced by the cationic gemini surfactant hexyl-alpha,omega-bisdodecyldimethylammonium bromide (C12 C6 C12 Br2). Stepwise condensation events were found for forces from 0.5 to 4 pN, with a decrease in DNA extension by approximately 100 nm in each condensation event.

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