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Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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Single-cell omics sequencing technologies: the long-read generation.

Lu Wen1, Fuchou Tang1

  • 1Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing 100871, China; New Cornerstone Science Laboratory, Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China.

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|August 23, 2025
PubMed
Summary
This summary is machine-generated.

Single-molecule long-read sequencing (SMS) enhances single-cell omics, providing deeper insights into genomics, epigenomics, and transcriptomics. This review explores SMS applications and future potential in biological and medical research.

Keywords:
allele-specific epigenetic modificationalternative splicingrepetitive elementssingle-cell omics sequencingsingle-molecule long-read sequencing

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Area of Science:

  • Genomics
  • Epigenomics
  • Transcriptomics
  • Single-cell biology

Background:

  • Single-cell omics technologies have advanced biological and medical research.
  • Single-molecule long-read sequencing (SMS) has progressed rapidly.
  • Understanding cellular heterogeneity is crucial in life sciences.

Purpose of the Study:

  • To review the convergence of single-cell omics and SMS technologies.
  • To introduce SMS platform-based single-cell sequencing.
  • To discuss current applications and future perspectives.

Main Methods:

  • Single-molecule long-read sequencing (SMS) platforms.
  • Single-cell genome sequencing.
  • Single-cell epigenome sequencing.
  • Single-cell transcriptome sequencing.

Main Results:

  • SMS enables novel insights into repetitive elements and structural variations at the single-cell level.
  • SMS provides a deeper understanding of allele-specific epigenetic modifications.
  • SMS reveals complex alternative splicing events in single cells.
  • The integration of SMS with single-cell omics offers powerful new biomedical tools.

Conclusions:

  • The convergence of SMS and single-cell omics is revolutionizing biological research.
  • SMS-based single-cell sequencing opens new avenues for biomedical discovery.
  • Future perspectives include further advancements in SMS technology and its applications.