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Updated: Nov 25, 2025

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Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
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Reliable detection of somatic mutations in solid tissues by laser-capture microdissection and low-input DNA
Peter Ellis1,2, Luiza Moore1, Mathijs A Sanders1,3
1Cancer, Ageing and Somatic Mutation (CASM), Wellcome Sanger Institute, Hinxton, UK.
Nature Protocols
|December 15, 2020
Summary
This study presents a new workflow for sequencing genomes from small cell populations in healthy tissues. The method combines laser-capture microdissection with low-input genome sequencing to study somatic mutations and aging.
Area of Science:
- Genomics
- Molecular Biology
- Aging Research
Background:
- Somatic mutations accumulate with age in healthy tissues, contributing to cancer and aging.
- Studying these mutations in non-neoplastic tissues is crucial for understanding aging and disease.
- Existing methods may not be suitable for analyzing small cell populations from tissue sections.
Purpose of the Study:
- To develop and describe a comprehensive workflow for sequencing genomes from small cell populations.
- To enable the study of somatic mutations in non-neoplastic human tissues.
- To provide a WGA-free (whole-genome amplification-free) protocol for low-input DNA sequencing.
Main Methods:
- The workflow integrates laser-capture microdissection (LCM) with low-input genome sequencing.
- It avoids whole-genome amplification (WGA) by using enzymatic fragmentation for library generation.
- The protocol includes tissue processing, LCM, low-input library preparation, and mutation calling/filtering.
Main Results:
- The workflow successfully sequences genomes from small cell populations (100-1,000 cells) in microbiopsies.
- It has been applied to thousands of samples across diverse human tissues.
- The protocol is compatible with standard sequencing facility equipment and liquid handling platforms.
Conclusions:
- This WGA-free, low-input DNA sequencing protocol facilitates the study of somatic mutations in aging and disease.
- The method provides a robust approach for analyzing genomic alterations in non-neoplastic tissues.
- The workflow can be completed in 1-3 weeks, making it accessible for research.

