BMC Bioinformatics | |
Empirical assessment of competitive hybridization and noise in ultra high density canine tiling arrays | |
Cali E Willet1  Laura Bunbury-Cruickshank1  Diane van Rooy1  Georgina Child2  Mohammad R Shariflou1  Peter C Thomson1  Claire M Wade1  | |
[1] Faculty of Veterinary Science, The University of Sydney, Sydney, NSW 2006, Australia | |
[2] University of Sydney Veterinary Teaching Hospital, The University of Sydney, Sydney, NSW 2006, Australia | |
关键词: Canis lupus; Probe competition; Oligonucleotide probe; Tiling path offset; CNV; Copy number variation; aCGH; Array comparative genome hybridization; | |
Others : 1087805 DOI : 10.1186/1471-2105-14-231 |
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received in 2012-09-22, accepted in 2013-07-15, 发布年份 2013 | |
【 摘 要 】
Background
In addition to probe sequence characteristics, noise in hybridization array data is thought to be influenced by competitive hybridization between probes tiled at high densities. Empirical evaluation of competitive hybridization and an estimation of what other non-sequence related features might affect noisy data is currently lacking.
Results
A high density array was designed to a 1.5 megabase region of the canine genome to explore the potential for probe competition to introduce noise. Multivariate assessment of the influence of probe, segment and design characteristics on hybridization intensity demonstrate that whilst increased density significantly depresses fluorescence intensities, this effect is largely consistent when an ultra high density offset is applied. Signal variation not attributable to sequence composition resulted from the reduction in competition when large inter-probe spacing was introduced due to long repetitive elements and when a lower density offset was applied. Tiling of probes immediately adjacent to various classes of repeat elements did not generate noise. Comparison of identical probe sets hybridized with DNA extracted from blood or saliva establishes salivary DNA as a source of noise.
Conclusions
This analysis demonstrates the occurrence of competitive hybridization between oligonucleotide probes in high density tiling arrays. It supports that probe competition does not generate random noise when it is maintained across a region. To prevent the introduction of noise from this source, the degree of competition should be regulated by minimizing variation in density across the target region. This finding can make an important contribution to optimizing coverage whilst minimizing sources of noise in the design of high density tiling arrays.
【 授权许可】
2013 Willet et al.; licensee BioMed Central Ltd.
【 预 览 】
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Figure 1. | 19KB | Image | download |
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【 参考文献 】
- [1]Bertone P, Trifonov V, Rozowsky JS, Schubert F, Emanuelsson O, Karro J, Kao MY, Snyder M, Gerstein M: Design optimization methods for genomic DNA tiling arrays. Genome Res 2006, 16(2):271-281.
- [2]Graf S, Nielsen FGG, Kurtz S, Huynen MA, Birney E, Stunnenberg H, Flicek P: Optimized design and assessment of whole genome tiling arrays. Bioinformatics 2007, 23(13):I195-I204.
- [3]Buysse K, Delle Chiaie B, Van Coster R, Loeys B, De Paepe A, Mortier G, Speleman F, Menten B: Challenges for CNV interpretation in clinical molecular karyotyping: lessons learned from a 1001 sample experience. Eur J Med Genet 2009, 52(6):398-403.
- [4]Komura D, Shen F, Ishikawa S, Fitch KR, Chen WW, Zhang J, Liu GY, Ihara S, Nakamura H, Hurles ME, et al.: Genome-wide detection of human copy number variations using high-density DNA oligonucleotide arrays. Genome Res 2006, 16(12):1575-1584.
- [5]Carter NP: Methods and strategies for analyzing copy number variation using DNA microarrays. Nat Genet 2007, 39:S16-S21.
- [6]Lipson D, Yakhini Z, Aumann Y: Optimization of probe coverage for high-resolution oligonucleotide aCGH. Bioinformatics 2007, 23(2):E77-E83.
- [7]Krause A, Krautner M, Meier H: Accurate method for fast design of diagnostic oligonucleotide probe sets for DNA microarrays. In Proceedings of the 17th International Symposium on Parallel and Distributed Processing: 22–26 April 2003; Nice. Washington: IEEE Computer Society; 2003. 154.1
- [8]Sharp AJ, Itsara A, Cheng Z, Alkan C, Schwartz S, Eichler EE: Optimal design of oligonucleotide microarrays for measurement of DNA copy-number. Hum Mol Genet 2007, 16(22):2770-2779.
- [9]Flibotte S, Moerman DG: Experimental analysis of oligonucleotide microarray design criteria to detect deletions by comparative genomic hybridization. BMC Genomics 2008., 9(497) BioMed Central Full Text
- [10]Mulle JG, Patel VC, Warren ST, Hegde MR, Cutler DJ, Zwick ME: Empirical evaluation of oligonucleotide probe selection for DNA microarrays. PLoS One 2010, 5(3):e9921.
- [11]Curtis C, Lynch AG, Dunning MJ, Spiteri I, Marioni JC, Hadfield J, Chin SF, Brenton JD, Tavare S, Caldas C: The pitfalls of platform comparison: DNA copy number array technologies assessed. BMC Genomics 2009., 10(588) BioMed Central Full Text
- [12]Lindblad-Toh K, Wade CM, Mikkelsen TS, Karlsson EK, Jaffe DB, Kamal M, Clamp M, Chang JL, Kulbokas EJ, Zody MC, et al.: Genome sequence, comparative analysis and haplotype structure of the domestic dog. Nature 2005, 438(7069):803-819.
- [13]Smit AFA, Hubley R, Green P: RepeatMasker Open-3.0. http://www.repeatmasker.org webcite
- [14]GenStat: GenStat for Windows 15th edition. Hemel Hempstead, Hertfordshire: VSN International; 2012.
- [15]Marcais G, Kingsford C: A fast, lock-free approach for efficient parallel counting of occurrences of k-mers. Bioinformatics 2011, 27(6):764-770.
- [16]Markham NR, Zuker M: UNAFold : Software for nucleic acid folding and hybridization. Methods Mol Biol 2008, 453:3-31.
- [17]R Core Development Team: R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2009.
- [18]Hehir-Kwa JY, Egmont-Petersen M, Janssen IM, Smeets D, Van Kessel AG, Veltman JA: Genome-wide copy number profiling on high-density bacterial artificial chromosomes, single-nucleotide polymorphisms, and oligonucleotide microarrays: a platform comparison based on statistical power analysis. DNA Res 2007, 14(1):1-11.
- [19]Quinque D, Kittler R, Kayser M, Stoneking M, Nasidze I: Evaluation of saliva as a source of human DNA for population and association studies. Anal Biochem 2006, 353(2):272-277.