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Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
Published on: February 21, 2015
Analysis of Copy-Number Alterations in Single Cells Using Microarray-Based Comparative Genomic Hybridization (aCGH)
Birte Möhlendick1, Nikolas H Stoecklein
1Department of Surgery (A), Heinrich Heine University and University Hospital Düsseldorf, Düsseldorf, Germany.
This unit details a workflow for single-cell array comparative genomic hybridization (aCGH). It covers cell preparation, whole-genome amplification, and microarray analysis for genomic profiling of individual cells.
Area of Science:
- Genomics
- Molecular Biology
- Cell Biology
Background:
- Array comparative genomic hybridization (aCGH) is a powerful technique for detecting genomic copy number variations.
- Analyzing single cells presents unique challenges due to limited DNA quantity.
- Existing methods often require substantial cell numbers, limiting single-cell applications.
Purpose of the Study:
- To establish a comprehensive workflow for performing aCGH on single cells.
- To optimize protocols for DNA isolation, whole-genome amplification, and aCGH analysis from single cells.
- To provide a detailed guide for researchers interested in single-cell genomic studies.
Main Methods:
- Isolation and preparation of single peripheral blood mononuclear cells (PBMCs) and cell lines (GM14667, GM05423) for reference DNA.
- Micromanipulation techniques for handling single cells.
- Whole-genome amplification (WGA) using adapter-linker PCR (Ampli1 WGA Kit) and a nonlinear WGA method (PicoPLEX WGA Kit).
- Reamplification of WGA products for enhanced aCGH.
- aCGH using 4 × 180k oligonucleotide microarrays.
Main Results:
- Demonstration of a reproducible workflow for single-cell aCGH.
- Successful whole-genome amplification from single cells using two distinct WGA kits.
- aCGH successfully performed on amplified single-cell DNA, enabling detection of genomic alterations.
- Validation of protocols for reference DNA preparation and cell manipulation.
Conclusions:
- The described workflow enables reliable aCGH analysis at the single-cell level.
- This methodology facilitates the study of genomic heterogeneity within cell populations.
- The protocol provides a valuable resource for advancing single-cell genomics research.
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