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Detection of Copy Number Alterations Using Single Cell Sequencing
Published on: February 17, 2017
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Somatic CNV Detection by Single-Cell Whole-Genome Sequencing in Postmortem Human Brain
Diego Perez-Rodriguez1, Maria Kalyva1, Catherine Santucci1
1Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology, University College London, London, UK.
Methods in Molecular Biology (Clifton, N.J.)
|November 18, 2022
Summary
Somatic copy-number variants (CNVs) are implicated in neurodegeneration. This study details protocols for detecting large-scale CNVs in single brain cells using whole-genome sequencing, aiding in understanding disease mechanisms.
Area of Science:
- Neuroscience
- Genetics
- Molecular Biology
Background:
- Growing evidence links somatic mutations, including copy-number variants (CNVs), to neurodegenerative diseases.
- Understanding the precise role, origin, and impact of these mutations on disease progression remains a significant challenge.
- Single-cell whole-genome sequencing (scWGS) offers a powerful approach to investigate cellular heterogeneity in mutation profiles.
Purpose of the Study:
- To provide detailed laboratory and bioinformatic protocols for detecting megabase-scale CNVs in single human brain cells.
- To apply these methods to postmortem brain samples from patients with multiple system atrophy (MSA).
- To compare different whole-genome amplification (WGA) chemistries for scWGS applications.
Main Methods:
- Development and application of protocols for immunolabeling and nuclei selection for whole-genome amplification (WGA).
- Utilizing single-cell whole-genome sequencing (scWGS) to detect megabase-scale copy-number variants (CNVs).
- Comparison of Multiple Displacement Amplification (MDA) and PicoPLEX WGA chemistries using control substantia nigra samples.
Main Results:
- Successful detection of megabase-scale CNVs in single cells from human MSA postmortem brains.
- Presentation of a comparative analysis of MDA and PicoPLEX WGA methods for scWGS.
- Demonstration of the protocol's applicability to specific cell types relevant to synucleinopathies, such as dopaminergic neurons and oligodendrocytes.
Conclusions:
- The presented protocols enable robust detection of large-scale CNVs in single brain cells.
- scWGS is a valuable tool for investigating the contribution of somatic mutations to neurodegeneration.
- The methodology can be adapted for various tissue and cell types to study genetic alterations in disease.

