Publications by authors named "Liyao Mai"

DNA methylation is essential for a wide variety of biological processes, yet the development of a highly efficient and robust technology remains a challenge for routine single-cell analysis. We developed a multiplex scalable single-cell reduced representation bisulfite sequencing (msRRBS) technology. It allows cell-specific barcoded DNA fragments of individual cells to be pooled before bisulfite conversion, free of enzymatic modification or physical capture of the DNA ends, and achieves read mapping rates of 62.

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Article Synopsis
  • MustSeq is a new RNA-seq method that simplifies library construction by generating multiple second strands from a single cDNA strand and avoids traditional steps like mRNA isolation and fragmentation.
  • The method effectively uses early sample pooling and requires significantly fewer sequencing reads compared to full-length sequencing methods like TruSeq and NEBNext.
  • MustSeq has shown advantages in accurately detecting gene expressions and pathways in cancer and liver samples, making it a powerful tool for bulk RNA-seq analysis and potentially single-cell studies.
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Mesenchymal stem cells (MSCs) are known for their multilineage differentiation potential with immune-modulatory properties. The molecular underpinnings of differentiation remain largely undefined. In this study, we investigated the cellular and molecular features of chemically induced osteogenesis from MSC isolated from human adipose tissue (human adipose MSCs, hAMSCs) using single-cell RNA-sequencing (scRNA-seq).

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Liquid biopsies of cancer via single-cell molecular profiling of circulating tumor cells (CTCs) are hampered by the lack of ideal CTC markers. In this study, it is reported that TPN, a bioprobe with aggregation-induced emission (AIE) activity is capable of distinguishing various tumor cells from blood leukocytes based on the difference in cell mitochondria. TPN is a cell-permeant live-cell stain that has little effect on cell viability and integrity, enabling single-cell DNA/RNA analysis with improved efficiency compared with traditional antibody-based methods.

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