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Laser Capture Microdissection of Mammalian Tissue
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Laser Capture Microdissection Followed by DNA Methylation Profiling.

Lu Liu1, Yingchuo Hu2,3,4, Chunhong Zheng5

  • 1Changping Laboratory, Beijing, China. luliu@cpl.ac.cn.

Methods in Molecular Biology (Clifton, N.J.)
|February 2, 2026
PubMed
Summary
This summary is machine-generated.

We combined laser capture microdissection with Enzymatic Methyl-seq (EM-seq) to analyze DNA methylation in rare cells. This method provides high-quality epigenetic data from as few as 100 cells for biomarker discovery and personalized medicine.

Keywords:
Bisulfite-free conversionDNA methylation profilingEnzymatic Methyl-seqLow-input library preparationSpatially resolved methylation analysis

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Area of Science:

  • Epigenetics
  • Molecular Biology
  • Genomics

Background:

  • Tissue heterogeneity confounds DNA methylation analysis.
  • Laser capture microdissection (LCM) isolates specific cell populations but yields low DNA.
  • Conventional bisulfite sequencing requires high DNA input and causes degradation.

Purpose of the Study:

  • To develop a low-input DNA methylation profiling method for LCM-isolated cells.
  • To integrate LCM with a bisulfite-free enzymatic conversion technique.
  • To enable robust epigenetic analysis of rare cell populations.

Main Methods:

  • Integration of laser capture microdissection (LCM) with Enzymatic Methyl-seq (EM-seq).
  • Optimization of low-input library preparation protocols for enzymatic DNA conversion.
  • Bisulfite-free methylation profiling to preserve DNA integrity and reduce GC bias.

Main Results:

  • Achieved robust and reproducible methylation profiling from as few as 100 cells.
  • Obtained data quality comparable to bulk tissue samples.
  • Demonstrated the utility for isolating tumor cells for biomarker discovery.

Conclusions:

  • LCM-EM-seq is a scalable framework for spatially resolved epigenetic analysis.
  • Enables methylation-aware studies of rare cell populations.
  • Advances biomarker discovery, targeted therapies, and personalized epigenetic profiling.