NimbleGen CGH Arrays
The NimbleGen platform is an ultra high density, easily customizable microarray. This combination makes the platform a natural choice for Comparative Genomic Hybridization (CGH) studies. The high density of the arrays means that a genome-wide view is feasible, while the flexibility of the platform permits investigators to narrow their search to any region of the genome.
The largest human array (the whole genome in 2.1 million probes) has similar coverage as the Affymetrix Genome-Wide SNP Mapping 6.0 chip, although without the SNP data. Human Whole-Genome arrays are also available with 385,000 and 72,000 probes and as sets of 4 to 24 arrays, which means that investigators have a number of options in balancing cost and coverage. Mouse CGH arrays are also available in a variety of resolutions. Eleven other model organisms are available as single-array whole-genome arrays.
If the catalog arrays do not have the coverage or the organism needed for a particular experiment, NimbleGen will produce a custom array to an investigator's specifications
Sample Requirements
1. Purified, unamplified, and unfragmented genomic DNA(dDNA) is required for optimal sample labeling and hybridization.
2. Roche nimblegen recommends starting with the following gDNA amounts for each hybridization:
| Sample Requirements | 385K Array | Each Sample for 4x72K | 2.1M Array | Each Sample for 3x720K Array | Each Sample for 12x135K Array |
|---|---|---|---|---|---|
| Test gDNA | 2 µg | 2 µg | 2.5 µg | 1.5 µg | 1.5 µg |
| Reference gDNA | 2 µg | 2 µg | 2.5 µg | 1.5 µg | 1.5 µg |
3. Samples should be prepared at a concentration of 250 ng/µL to 1,000 ng/µL in nuclease-free water or 1XTE buffer (10mM Tris-HCl and 0.1mM EDTA, pH 7.5 - 8.0).
4. Samples should have an A260/A280 >= 1.8 and A260/A230 >= 1.9 for optimal labeling yields
NimbleGen Data
In addition to providing the raw array data, the FGSR will analyze your arrays to find the distinct segments of differing copy number. We will provide a PDF summary of this analysis, as well as a GFF file that you can then visualize with SignalMap software (which NimbleGen will provide with the arrays)
