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Updated: Sep 5, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
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Recent advances in single-cell sequencing technologies.

Lu Wen1, Fuchou Tang1

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

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|July 13, 2022
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Summary
This summary is machine-generated.

Single-cell omics sequencing has rapidly advanced, enabling detailed analysis of individual cells. This review highlights progress in epigenome, genome, spatial transcriptomics, and third-generation sequencing for biomedical applications, particularly in human stem cells.

Keywords:
epigenome sequencinggenome sequencinghuman stem celllineage tracingsingle-cell omicsthird-generation sequencing

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Area of Science:

  • Genomics
  • Epigenetics
  • Biotechnology

Background:

  • Single-cell omics sequencing emerged in 2009 with transcriptomics.
  • Technologies now profile genomes, epigenomes, and 3D genome architecture at single-cell resolution.

Purpose of the Study:

  • To review recent advancements in single-cell omics sequencing.
  • To focus on epigenome sequencing, lineage tracing, spatial transcriptomics, and third-generation platforms.
  • To discuss applications in biomedical systems, especially human stem cells.

Main Methods:

  • Review of recent progress in single-cell omics technologies.
  • Focus on four key areas: epigenome, genome for lineage tracing, spatial transcriptomics, and third-generation sequencing.

Main Results:

  • Rapid development of diverse single-cell omics profiling technologies.
  • Significant progress in epigenome sequencing, lineage tracing, and spatial transcriptomics.
  • Emergence of third-generation sequencing platforms for comprehensive single-cell analysis.

Conclusions:

  • Single-cell omics technologies offer powerful tools for biomedical research.
  • These advancements hold significant promise for understanding human stem cell biology.
  • Future directions include broader applications across various biomedical systems.