Agilent s Copy Number Variation (CNV) Portfolio

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1 Technical Overview Agilent s Copy Number Variation (CNV) Portfolio Abstract Copy Number Variation (CNV) is now recognized as a prevalent form of structural variation in the genome contributing to human genetic variability. Recently, researchers have found that CNVs are associated with both common and complexes diseases (Charcot-Marie-Tooth disease, susceptibility to HIV, lupus with glomerulonephritis, and Crohn s disease 1-5 ). High resolution comparative genomic hybridization (acgh) microarrays that can accurately detect genomic deletions and duplications are key tools for researchers studying CNVs. Agilent recently introduced a portfolio of CNV microarrays, ranging from whole-genome tiled designs to designs focused on specific CNV regions. Depending on the type of study (e.g., association, discovery), researchers can select the appropriate array to obtain optimal results. These microarrays represent an extension of Agilent s CGH platform, providing a choice in new research tools for detecting and characterizing CNVs.

2 Technical Overview Introduction Microarrays and sequencing results are rapidly changing our understanding of the human genome. Recent studies of apparently healthy individuals have found that individual variation comes in the form of single-nucleotide polymorphisms (SNPs) and, to an even greater extent, structural variants involving large segments of DNA. 6 9 CNVs are defined as structural variations in the genome (submicroscopic variants, including deletions, insertions, duplications, and large scale copy number variants typically at least 1 kb in size) for which copy number differences have been observed between two or more genomes. CNVs can vary from a simple segmental duplication to a highly complex genomic rearrangement involving multiple elements. 10 The largest database that has cataloged CNVs is the Database of Genomic Variants ( variation). The number of CNVs identified has increased dramatically as the resolution of detection technologies has improved. Agilent now offers several CNV microarrays of high resolution, including designs focused on specific CNV regions and designs covering the full genome (Table 1). The SurePrint G3 Human High-Resolution Discovery 1x1M Microarray provides optimal whole genome coverage, including segmental duplications and known CNVs using empirically validated and optimized probes. The SurePrint G3 Human CNV 2x400K Microarray delivers complete coverage of known CNVs from the Database of Genomic Variants (DGV version 7, March 2009) and offers the flexibility of running two samples on a single slide. The Human CNV Association 2x105K Microarray targets ~11,000 loci that were identified in 20 European and 20 West African individuals in a CNV research project conducted by the Genome Structural Variation consortium. All arrays were designed from our database of 28.7 million distinct oligo nucleotide probes suitable for acgh at a median spacing of less than 50 bp within the non-repeat masked regions of the genome. Probes were selected using an empirical model that weighs scores for homology, thermodynamics, secondary structure, and sequence complexity M probes, including all probes from these catalog designs, are available in earray, Agilent s free web-based tool for array design ( com/earray/). Using earray, custom array designs for all array formats (1x1M, 1x244K, 2x400K, 2x105K, 4x180K, 4x44K, 8x15K, and 8x60K) are also available to meet specific research needs. The data base includes some probe sequences that map to multiple regions in the human genome reference assembly. The addition of these sequences is necessary for interrogating CNVs and segmental duplications and for understanding how differences in copy number variant regions of the genome impact human biology. The Part Number Product Contents Array Description Probe Details G4506A SurePrint G3 Human High-Resolution Discovery 1x1M kit 5 slides (5 arrays) G4507A G4417A SurePrint G3 Human CNV 2x400K kit Human CNV Association 2x105K kit 5 slides (10 arrays) 5 slides (10 arrays) Evenly tiled design Offers high-resolution discovery of DNA copy number changes across the entire genome CNV-focused design, including backbone probes for genome coverage and robust normalization Conversion of 2 244K CNV array set to new 2x400K format Offers a lower cost per sample Based on DGV CNV-focused design, including backbone probes for robust normalization Dense probe coverage in common CNVs Focused content in ~11,000 of CNVs Based on the array design used in a large CNV study by the Wellcome Trust Case Control Consortium (WTCCC) 963,000+ human sequences represented Probes annotated against NCBI Build 36 (UCSC hg 18, March 2008) 2.6 kb overall median probe spatial resolution 3 kb average probe spatial resolution 412,892 biological features 1 kb median probe spacing 84.8% of CNVs in DGV <10 kb covered by at least 1 probe 95.9% of CNVs in DGV >10 kb covered by at least 1 probe 102,398 biological features 230 bp median probe spacing in targeted loci 10,075 (47.57%) CNVs in DGV covered by at least 5 probes 11,666 (55.09%) CNVs in DGV covered by at least 1 probe Table 1. Agilent CNV Product Portfolio 2

3 Agilent s Copy Number Variation (CNV) Portfolio SurePrint G3 microarrays require the Agilent DNA Microarray Scanner (G2565CA), which has increased scanning resolution capability at 2, 3, 5, and 10 μm. Together with Feature Extraction 10.5 and Genomic Workbench 5.0, Agilent s CNV microarrays allow you to focus on the pertinent parts of the genome, providing more coverage at a lower cost, and enabling you to take your research farther. Table 2 lists the microarray specifications for the three new catalog CNV microarrays. The Agilent SurePrint G3 Human High- Resolution Discovery 1x1M Microarray contains 963,331 biological probes evenly distributed across the genome. The average probe spacing is ~3 kb, and the median probe spacing is ~2.6 kb, allowing for the identification and discovery of small aberrations throughout the entire genome, including aberrations in segmental duplications, CNVs, and genic regions. The Agilent SurePrint G3 Human Catalog CNV 2x400K Microarray contains 412,892 biological probes targeting 4,902 previously identified CNVs, 16,110 in-dels, and 8,061 segmental duplication regions. The median probe spacing varies from approximately 200 bp for smaller intervals to up to 2,400 bp for larger intervals. An additional 19,079 probes were selected from the remaining regions of the genome to provide whole genome coverage with a median spacing of 102 Kb. In addition, all CNV interrogating probes from the 2 244K CNV microarrays set are present on the 2x400K for backwards compatibility testing. The Human CNV Association 2x105K Microarray contains 102,398 biological probes targeting ~11,000 previously identified CNVs. The median probe spacing in targeted loci is 232 bp. This design also contains coverage of several novel polymorphic regions identified from Kidd et al. 9 and Levy et al. 11 Microarray Performance In this study, eight HapMap samples were obtained from Coriell ( ccr.coriell.org/sections/collections/ NIGMS/?SsId=8) and were processed using the Agilent Oligonucleotide Array- Based CGH for Genomic DNA Analysis, ULS Labeling for Blood, Cells, Tissues or FFPE with a High Throughput option version 3 protocol. Data was analyzed in Feature Extraction 10.5 and Genomic Workbench 5.0. The samples consisted of two CEPH* HapMap samples derived from U.S. Utah residents with northern and western European ancestry (NA10851, NA12239); one Japanese (NA18980) and one Han Chinese (NA18576) sample; and a Yoruban mother (NA18517), father (NA18516), and child (NA18515). The reference sample was NA The QC metrics from Genomic Workbench 5.0 are listed in Table 3. The CNV microarrays show a similar performance to Agilent CGH microarrays (data not shown). Feature SurePrint G3 Human High- Resolution Discovery 1x1M SurePrint G3 Human CNV 2x400K Human CNV Association 2x105K Part Number G4506A G4507A G4417A AMADID Total number of features 974, , ,072 Control grid feature count 6,685 5,385 1,059 Distinct biological features 963, , ,398 Replicated biological features (number of replicates) 1,000 (5x) 1,000 (3x) 400 (5x) Sequence source hg18 hg18 hg18 Novel probes (not in human genome reference assembly) 0 0 4,192 Tm Filtered probes a (% of array) 0(0%) 3 (~0%) 40 (0.04%) HomFiltered probes b (% of array) 43,022 (4.5%) 49,268 (11.9%) (23.68%) Non-unique probes c (% of array) 12,644 (1.3%) 18,473 (4.5%) 13,750 (13.43%) Median probe spacing 2,628 bp 1,056 bp 232 bp Average probe spacing 3,056 bp 6,630 bp 23,718 bp CNV coverage (% of DGV ver. 7 regions with 5 probes) 11,333 (53.5%) 14,868 (70.2%) 10,075 (47.57%) CNV coverage (% of DGV ver. 7 regions with at least 1 probe) 18,824 (88.8%) 18,410 (86.9%) 11,666 (55.09%) Table 2. Microarray Specifications a Tm Filtered probes: Probes that fall below empirically set sensitivity filters (probes with a higher Tm are less sensitive to hybridization differences) b Hom Filtered probes: Probes that fall below empirically set specificity filters (probe with more unique sequences give more specific measurements) c Non-unique probes: Probes with more than one perfect match in the genome *CEPH: Centre d Etude du Polymorphisme Humain 3

4 Technical Overview Biological Results The ability to accurately detect and quantitate CNVs and their boundaries in a wide variety of samples can help further shape our understanding of genome biology and the genetics of a growing list of normal and abnormal human phenotypic variations. Results are shown using the different catalog CNV microarrays on several HapMap samples. Figure 1 shows the total number of gains and losses detected for each sample using each catalog CNV microarray. More CNVs were detected on the CNV Association 2x105K Microarray due to the targeted probe coverage in validated CNV regions. All self-self hybridizations resulted in two or fewer CNVs detected, indicating a low false positive rate. Furthermore, the pattern of CNVs detected in the seven different samples is consistent across the different arrays. The size distributions of CNVs detected on the three catalog arrays are shown in Figure 2. For both the SurePrint G3 Human High-Resolution Discovery 1x1M Microarray and the SurePrint G3 Human CNV 2x400K Microarray, the majority of CNVs are approximately 5 kb, whereas the CNV Association 2x105K Microarray identified smaller CNVs <5 kb (Figure 2). The High- Resolution Discovery 1x1M Microarray identified more of the larger CNVs than the 2x400K CNV Microarray, including those in the 5 10 kb range. All three arrays detected a known and simple CNV in NA10851 on chromosome 13, as illustrated in Figure 3. More complex CNVs, such as those with varying boundaries and copies in different individuals, were also identified (Figure 4). This CNV, previously identified and validated by Q-PCR, 12 is present at zero copies in the reference NA15510, one copy in sample NA12239, Metric SurePrint G3 Human High-Resolution Discovery 1x1M Microarray d SurePrint G3 Human CNV 2x400K Microarray e Human CNV Association 2x105K Microarray e DLRSpread 0.20± ± ±0.02 Signal to Noise Green 36.6± ± ±8.2 Signal to Noise Red 24.2± ± ±4.7 Signal Intensity Green 128.1± ± ±21.7 Signal Intensity Red 154.9± ± ±7.6 BG Noise Green 3.5± ± ±0.1 BG Noise Red 6.5± ± ±0.3 Reproducibility Green 11.3±1.1% 8.3±0.5% 6.0±0.6% Reproducibility Red 12.7±1% 8.8±0.8% 6.6±0.3% Table 3. QC Results for Agilent CNV Microarrays d 1500 ng gdna input, ULS labeling e 1000 ng gdna input, ULS labeling Gains Losses NA10851_1x1M_Discovery NA12239_1x1M_Discovery NA18980_1x1M_Discovery NA18576_1x1M_Discovery NA18517_1x1M_Discovery NA18516_1x1M_Discovery NA18515_1x1M_Discovery self-self_1x1m_discovery NA10851_2x400K CNV NA12239_2x400K CNV NA18980_2x400K CNV NA18576_2x400K CNV NA18517_2x400K CNV NA18516_2x400K CNV NA18515_2x400K CNV self-self_2x400k CNV NA x105K_Association NA x105K_Association NA x105K_Association NA x105K_Association NA x105K_Association NA x105K_Association NA x105K_Association self-self 2x105K_Association Figure 1. Number of CNVs across all three catalog CNV microarrays 4

5 Agilent s Copy Number Variation (CNV) Portfolio Histogram 1x1M Discovery Count < Bin of CNV sizes [kb] More Histogram 2x400K CNV Count Count < Bin of CNV sizes [kb] Histogram 2x105K Association More < Bin of CNV sizes [kb] More Figure 2. Distribution of CNV sizes on all three catalog CNV microarrays 5

6 Technical Overview 1x1M Discovery 2x400K CNV 2x105K Association CNV Track Aberration size ~35 kb Figure 3. Confirmation of a known CNV on Chromosome 13 in NA10851 vs. NA This CNV is identified with equal ease using either of the three catalog CNV arrays available. Nonetheless, differences between the three microarrays are highlighted in this example. The Discovery 1x1M Microarray identifies this CNV through evenly tiled probes that were placed agnostic to CNV presence. The CNV 2x400K Microarray identifies this CNV, present in DGV, and includes additional probes flanking the region for determination of CNV breakpoints. The CNV Association 2x105K Microarray specifically targets the CNV region for CNV genotyping. For this array, to ensure that each CNV was identified separately and not merged, genomic boundaries were applied as described in Table 4. and two copies in NA18980 and NA18576, as indicated by the signal plot (Figure 4D). The 3.5 kb CNV is contained within a larger 68 kb CNV in sample NA This detail is missed on the focused CNV Association 2x105K Microarray due to no probe coverage. As discussed above, these three catalog arrays have different probe selection criteria, and different CNV arrays may be selected depending upon the study design. In Figure 5, a very small CNV was identified using the CNV Association 2x105K Microarray (Figure 5A). A novel CNV not present in the Database of Genomic Variants (DGV version 7, March 2009) was identified on the CNV Association 2x105K and High-Resolution Discovery 1x1M Microarrays (Figure 5B). 6

7 Agilent s Copy Number Variation (CNV) Portfolio A 1x1M Discovery B 2x400K CNV C 2x105K Association NA12239 NA18980 NA18576 LR SI LR SI LR SI NA12239 NA18980 NA18576 LR SI LR SI LR SI NA12239 NA18980 NA18576 LR SI LR SI LR SI ~3.5 kb ~3.5 kb ~68 kb Aberration size ~3.5 kb ~3.5 kb ~68 kb Aberration size ~3.5 kb ~3.5 kb ~3.5 kb Aberration size D Median sample and reference signals copies 1 copy 0 copies NA12239 NA18980 NA18576 Processed signal Figure 4. Using Signal Intensity to Interpret Complex CNV Loci. (A-C) Both log ratio (LR, left) and signal intensities (SI, right; circles are red signals, plus signs are green signals) are displayed for each sample processed on each array. While log ratio is a useful value for determining relative DNA copy number in a test sample, as compared to the reference sample, the signal intensities are an indication of the absolute copy number. (D) Median signal intensities are plotted for three samples studied with the CNV Association 2x105K Microarray. Despite a lack of signal in the reference sample, it is still possible to differentiate between 0, 1, and 2 copies in the various tested samples. Reference Sample 7

8 Technical Overview A 2x105K Association 1x1M Discovery CNV Track B 2x105K Association 1x1M Discovery CNV Track Aberration size ~1.2 kb Aberration size ~5.4 kb Aberration size ~2.8 kb Figure 5. Focused CNV Association 2x105K Array Identifies Small CNV on Chr. 17 and Novel CNV on Chr. 19. (A) The CNV on chromosome 17, identified only by the CNV Association 2x105K Microarray, is extremely small, 1.2 kb. This CNV is present in DGV. (B) A small novel CNV not found in DGV was identified in both the CNV Association 2x105K Microarray and the Discovery 1x1M Microarray, but missed by the CNV 2x400K Microarray (data not shown), which specifically targets CNVs in DGV. Success of discovering new CNVs with the Discovery Microarray would rely on their location in relation to the evenly tiled probes. Many CNVs are found in duplicated regions of the genome, making their detection challenging by classical CGH arrays, which are often biased against these regions. In Figure 6, two CNVs were identified, a deletion found in all individuals and an amplification found in one individual. The deletion identified in Figure 6 was proximal to a segmental duplication region which is undetectable on a classical CGH which does not have probes in duplicated regions of the genome (data not shown). This example demonstrates the importance of catalog microarrays devoted to CNV detection. The majority of microarrays used to detect genomic copy number changes are suboptimal for CNV studies. Recommended Analysis Setting for CNV Analysis DNA Analytics, an integrated part of Agilent s Genomic Workbench, serves as a CGH software analysis tool. It accepts images or Feature Extraction files created from scanned Agilent arrays, and then analyzes and presents the resulting data. New features in Genomic Workbench address the specific needs of CNV arrays, including choices to expand non-unique probes (probes that map to multiple locations in the genome) or to apply a homology filter. Genomic Workbench also offers a Nesting Filter to manage the level of substructures identified in detected aberrations. For a summary of recommended settings for analysis of CNV arrays in Genomic Workbench, see Table 4. For studies interested in identifying copy number changes in regions of the genome that may not be unique (e.g., CNVs or segmental duplications), it is recommended that non-unique probes be expanded, and that a homology filter not be applied (it is not applied in default settings). Further, setting the Nesting Filter to 1 will ensure that only a single level of substructure within a larger gain or loss will be identified; a Nesting Filter of 2 would limit the substructure levels within the larger copy number change to 2. When analyzing data from the CNV Association 2x105K Microarrays, it is necessary to apply genomic boundaries to the edges of each CNV, otherwise neighboring CNVs may be viewed as a single longer variation since there are no probes outside of the variable regions. 8

9 Agilent s Copy Number Variation (CNV) Portfolio 1x1M Discovery 2x400K CNV 2x105K Association Seg Dup CNV Mother Father Child Mother Father Child Mother Father Child Track Track Seg dup aberration size ~35 kb Deletion aberration size ~30 kb Amplification aberration size ~13 kb Figure 6. CNVs are Commonly Found Near Segmental Duplications. Two tracks are displayed in the far right, presenting segmental duplications and CNVs in DGV. Multiple CNVs and a segmental duplication were identified in this trio using all three microarrays. The repetitive pattern of probe log ratios viewed within the segmental duplication is a result of the multiple mappings to hg18 of individual probes in the region. For the CNV identified just downstream of the segmental duplication, the mother carries a homozygous deletion, the father carries a hemizygous deletion, and the child similarly has a hemizygous deletion that must be present on the maternal chromosome. For the smaller CNV further downstream, the mother and child are diploid while the father contains a duplication, suggesting that the child inherited his CNV status on this section of the chromosome from the mother. To add the segmental duplication track: Download table from UCSC genome browser, open in Excel, keep only the first 4 columns, save as *.bed. In Genomic Workbench, go to preferences/track/import, browse to the file and select show in UI. Location Setting Suggestion Preprocessing Preprocessing Feature Filter DefaultFeatureFilter Analysis Discovery Make a new Aberration Filter Preferences Tracks Table 4. Recommended Genomic Workbench Analysis Settings Replicates Intra-array Centralization Non-Unique Probes g or rissaturated g or risfeaturenonunifol Select, and press Go Deselect Select expand TRUE TRUE Aberration Algorithm ADM-2 Threshold 5 Fuzzy Zero Deselect Nesting Level Select, place at 1 (or 2) Minimum number of probes in region 2 Minimum absolute average log ratio per region 0.25 Maximum number of aberrant regions Percent penetrance per feature 0 Track = Agilent_022837_Regions Select Genomic Boundaries (for 2x105K Association studies only) 9

10 Technical Overview Improved Assay Throughput Agilent offers two genomic DNA labeling options: enzymatic and ULS. The enzymatic option uses a random-primed Klenow fill-in based incorporation of Cy-3 or Cy-5 labeled dutps. The ULS, or Universal Linkage System, utilizes a non-enzymatic method to directly label genomic DNA (gdna) with fluorescent dyes. Table 5 compares the two methods and researchers can choose between the two based on their experimental needs. Both User Manuals (Agilent Oligonucleotide Array-Based CGH for Genomic DNA Analysis, Enzymatic Labeling for Blood, Cells or Tissue with a High Throughput option version 6 and Agilent Oligonucleotide Array-Based CGH for Genomic DNA Analysis, ULS Labeling for Blood, Cells, Tissue, or FFPE with a High Throughput option version 3) now support processing samples in 96-well plates. For the enzymatic method, the Genomic DNA Enzymatic Labeling kit ( ) remains unchanged, but Agilent now recommends the GE Healthcare 96-well plates (AutoScreen-96A part number ) for high-throughput purification of enzymatically labeled gdna. For the ULS method, Agilent recently introduced two new kits: Genomic DNA High-Throughput ULS Labeling kit ( ) and Genomic DNA 96-well Purification Module ( ). The Genomic DNA High-Throughput ULS Labeling kit contains larger volumes of reagents to allow for processing of more samples using the ULS methodology. The Genomic DNA 96-well Purification Module contains a 96-well purification plate, wash plate, and collection plate. Conclusion Using array-based CGH techniques, thousands of CNVs in a given sample can be identified and characterized simultaneously. Agilent s CGH/CNV microarrays combine the advantages of increased coverage and higher density with flexibility in custom array designs and high-throughput sample performance. This results in accurate detection and quantification of CNVs with high sensitivity and specificity. Agilent s CNV portfolio offers arrays for whole-genome CNV discovery, such as the Human High-Resolution Discovery 1x1M Microarray, or more focused CNV microarrays including the Human CNV 2x400K Microarray and the Human Association 2x105K Microarray. The quality, flexibility, and complete workflow combine to make Agilent s CNV microarrays the highest performing copy number solution. Feature Enzymatic Kit ULS Kit Sample Compatibility Cells, Frozen Tissue, and Blood Cells, Frozen Tissue, Degraded DNA, Blood, and FFPE Sample Requirement for 1 packs (1x) 500 ng 1500 ng g Sample Requirement for 2 packs (2x) 500 ng 1000 ng Single sample processing time 4.5 hrs 1 hr Cost Same cost for 1-, 2-, and 4-pack array formats; cost halved for 8-packs Table 5. Comparison of Enzymatic and ULS Labeling Methodologies f f For more detailed information and guidance on the labeling kits, please see the User Manuals. g 2000 ng input gdna required for FFPE samples. Cost per sample less than enzymatic pricing; reduced cost with multipacks 10

11 Agilent s Copy Number Variation (CNV) Portfolio References 1. Lupski. J.R. et al. (1991) DNA duplication associated with Charcot-Marie-Tooth disease type 1A. Cell 66(2): Lee, J.A., Lupski, J.R. (2006) Genomic rearrangements and gene copy-number alterations as a cause of nervous system disorders. Neuron 52(1): Gonzalez, E. et al. (2005) The influence of CCL3L1 gene-containing segmental duplications on HIV-1/AIDS susceptibility. Science 307(5714): Aitman, T.J. et al. (2006) Copy number polymorphism in Fcgr3 predisposes to glomerulonephritis in rats and humans. Nature 439(7078): Fellermann, K. et al. (2006) A chromosome 8 gene-cluster polymorphism with low human beta-defensin 2 gene copy number predisposes to Crohn disease of the colon. Am. J. Hum. Genet. 79, Iafrate, J.A. et al. (2004) Detection of large-scale variation in the human genome. Nat. Genet. 36, Sebat, J. et al. (2004) Large-scale copy number polymorphism in the human genome. Science 305, Redon, R. et al. (2006) Global variation in copy number in the human genome. Nature 444, Kidd, J.M. et al. (2008) Mapping and sequencing of structural variation from eight human genomes. Nature 453, Hurles, M.E., Dermitzakis, E.T., and Tyler-Smith, C. (2008) The functional impact of structural variation in humans. Trends in Genet., 24, Levy, S. et al. (2007) The diploid genome sequence of an individual human. PLOS Biology 5: e Perry, G.H. et al. (2008) The fine-scale and complex architecture of human copy-number variation. Am. J. Hum. Genet. 82, Whitby, H. et al. (2008) Benign copy number changes in clinical cytogenetic diagnostics by array CGH. Cytogenet. Genome Res. 123:

12 Agilent SurePrint G3 CNV Microarrays Description Number of Arrays/Slide Number of Slides/Kit Part Number SurePrint G3 Human High-Resolution Discovery 1x1M 1 5 G4506A SurePrint G3 Human CNV 2x400K 2 5 G4507A Human CNV Association 2x105K 2 5 G4417A NOTE: Microarrays are shipped with foil seal. After breaking the foil, store microarrays at room temperature, in the dark, under a vacuum desiccator or in an N 2 purge box. Do not expose microarrays to open air during storage. Required Agilent CGH Processing Components Description Part Number Genomic DNA Enzymatic Labeling Kit Genomic DNA ULS Labeling Kit Genomic DNA Purification Module (for ULS labeling) Genomic DNA High-Throughput ULS Labeling Kit Genomic DNA 96-well Purification Module (for ULS labeling) Agilent Oligo acgh Hybridization Kit (25) or (100) or Agilent Oligo acgh Wash Buffer 1 and 2 Set Hybridization Chamber, stainless G2534A Hybridization Chamber Gasket Slides Part number varies by array format and quantity Hybridization Oven G2545A Hybridization Oven Rotator Rack G Agilent Microarray Scanner Bundle Genomic Workbench * Feature Extraction software can be purchased separately. Optional CGH Processing Components Description G2565CA (including Feature Extraction Software)* G3794AA Part Number Agilent Oligo acgh Wash Buffer 1, 4L Agilent Oligo acgh Wash Buffer 2, 4L Stabilization and Drying Solution, 500 ML AutoScreen-96A Well plates GE Healthcare p/n About Agilent Technologies Agilent Technologies is a leading supplier of life science research systems that enable scientists to understand complex biological processes, determine disease mechanisms, and speed drug discovery. Engineered for sensitivity, reproducibility, and workflow productivity, Agilent s life science solutions include instrumentation, microfluidics, software, microarrays, consumables, and services for genomics, proteomics, and metabolomics applications. For more information: Buy online: Find an Agilent customer center in your country: U.S. and Canada agilent_inquiries@agilent.com Asia Pacific adinquiry_aplsca@agilent.com Europe info_agilent@agilent.com This item is intended for Research Use Only. Not for use in diagnostic procedures. Information, descriptions, and specifications in this publication are subject to change without notice. Agilent Technologies shall not be liable for errors contained herein or for incidental or consequential damages in connection with the furnishing, performance or use of this material. Agilent Technologies, Inc., 2009 Published in USA, June 10, EN