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What is aCGH used for?

  • Analysis of large and small copy-number variants (CNV) — down to single exon resolution.
  • Loss of heterozygosity (LOH) analysis.
  • Clinical research applications — such as developmental delay, pre-implantation genetic screening and cancer.

 

Step 1. Labeling

Sample and reference DNA are labeled with different fluorescent dyes.

Sample DNA

Sample DNA is typically labelled with Cy3 — which looks red under regular light but fluoresces “Green” (575nm) under laser excitation.

Reference DNA

Reference DNA is typically labelled with Cy5 — which looks blue under regular light but fluoresces “red” (675nm) under laser excitation.

 

Step 2. Preparation

Samples are mixed into a single tube.

Samples are mixed

The mixture is pipetted onto a “gasket” slide with chambers which hold the solution.

Mixture is pipetted onto a “gasket” slide

The microarray slide is then held in place against this, ready for hybridization.

 

Step 3. Hybridization

Microarrays contain tightly packed “spots” of DNA oligos, also referred to as probes. Each spot is usually designed to target a different region of the genome.

Competitive hybridisation

Both the sample and reference labelled DNA compete to bind to the probes, in a process known as “competitive hybridization.”

 

Step 4. Scanning

Slides are scanned — each spot shows the relative amounts of sample vs reference DNA at a particular genomic sequence.

Slides are scanned

Once scanned, each spot indicates the relative amounts of the sample DNA against the reference DNA at the respective genomic locus. Spots with less sample than reference are indicative of a loss, those with more sample than reference are indicative of a gain.

 

Step 5. Analysis

Purpose-built software allows for analysis and interpretation of aCGH results.

[A] Probe and variant visualization.

[B] Database tracks.

CytoSure Interpret software uses sophisticated algorithms to define areas of CNV or LOH. Track-based analysis allows for interpretation of these regions against external and internal databases.

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