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Microarrays oligonucleotide

Kasamatsu A, Endo Y, Uzawa K, Nakashima D, Koike H, Hashitani S, et al. Identification of candidate genes associated with salivary adenoid cystic carcinomas using combined comparative genomic hybridization and oligonucleotide microarray analyses. Int J Biochem Cell Biol 2005 37 1869-80. [Pg.163]

Urakawa H, Noble PA, El-Fantroussi S, Kelly JJ, Stahi DA (2002) Single base pair discrimination of terminal mismatches by using oligonucleotide microarrays and neutral network analyses. Appl Environ Microbiol 68 235-244... [Pg.35]

Dai H, Meyer M, Stepaniants S, Ziman M, Stoughton R. 2002. Use of hybridization kinetics for differentiating specific from non-specific binding to oligonucleotide microarrays. Nucleic Acids Res 30 e86. [Pg.406]

Nishizuka, S., Winokur, S.T., Simon, M., Martin, J., Tsujimoto, H., and Stanbridge, E.J., Oligonucleotide microarray expression analysis of genes whose expression is correlated with tumorigenic and non-tumorigenic phenotype of HeLa X human fibroblast cells. Cancer Lett., 165, 210-209, 2001. [Pg.186]

Loy, A. Lehner, A. Lee, N. Adamczyk, J. Meier, H. Ernst, J. Schleifer, K.H. Wagner, M. Oligonucleotide microarray for 16S rRNA gene-based detection of all recognized lineages of sulfate-reducing prokaryotes in the environment. Appl. Environ. Microbiol. 2002, 68, 5064-5081. [Pg.165]

Kiewe P et al (2009) Prediction of qualitative outcome of oligonucleotide microarray hybridization by measurement of RNA integrity using the 2100 Bioanalyzer capillary electrophoresis system. Ann Hematol 88 1177-1183. doi 10.1007/s00277-009-0751-5... [Pg.469]

Sawada A et al (2007) Evaluation of amplified cRNA targets for oligonucleotide microarrays. Anal Bioanal Chem 387 2645-2654. doi 10.1007/s00216-007-1125-2... [Pg.469]

Vardhanabhuti S et al (2006) A comparison of statistical tests for detecting differential expression using Affymetrix oligonucleotide microarrays. OMICS 10 555-566. doi 10.1089/omi.2006.10.555... [Pg.470]

Schlingemarm J, Thuerigen O, Ittrich C et al. Effective transcriptome amplification for expression profiling on sense-oriented oligonucleotide microarrays. Nucleic Acids Res 2005 33 e29. [Pg.17]

Kurimoto K, Yabuta Y, Ohinata Y et al. An improved single-cell cDNA amplification method for efficient high-density oligonucleotide microarray analysis. Nucleic Acids Res 2006 34 e42. [Pg.17]

Di X, Matsuzaki H, Webster TA et al. Dynamic model based algorithms for screening and genotyping over 100 K SNPs on oligonucleotide microarrays. Bioinformatics 2005 21 1958-1963. [Pg.86]

Oligonucleotide microarray analysis of bone marrow samples from patients with IM-sensitive and IM-resistant CML have shown the ability to distinguish IM sensitivity and resistance. Differential gene expression patterns have the potential to identify new gene and protein targets for treatment and may have the potential to be used as a screening tool to identify patients with resistance prior to therapy (68,69,70,71,72). [Pg.139]

Roy S., Lado B. H., Khanna S., and Sen C. K. (2002). Vitamin E sensitive genes in the developing rat fetal brain a high-density oligonucleotide microarray analysis. FEBS Lett. 530 17-23. [Pg.238]

Lindroos K, Liljedahl U, Raitio M, Syvanen AC. Minisequencing on oligonucleotide microarrays comparison of immobilisation chemistries. Nucleic Acids Res 2001 29 e69. [Pg.350]

Hacia JG, Collins FS. Mutational analysis using oligonucleotide microarrays. J Med Genet 1999 36 730-736. [Pg.409]

Geller SC, Gregg JP, Hagerman P, Rocke DM. Transformation and normalization of oligonucleotide microarray data. Bioinformatics 2003 19 1817-1823. [Pg.555]

Ballmer, K., Korczak, B.M., Kuhnert, R, Stickers, P., Ehricht, R., Hachler, H. Fast DNA serotyping of Escherichia coli by use of an oligonucleotide microarray. J Clin Microbiol 45 (2007) 370-379. [Pg.145]

FIGURE 23.1 Schematic representation of genome-scale gene expression analysis with DNA microarrays, (a) DNA microarrays produced by probe deposition (b) Oligonucleotide microarrays produced by in situ probe synthesis (Affymetrix technology). [Pg.543]

Thimmulappa RK, Mai KH, Srisuma S, Kensler TW, Yamamoto M, Biswal S. Identification of Nrf2-regulated genes induced by the chemopreventive agent sulforaphane by oligonucleotide microarray. Cancer Res 2002 62(18) 5196-5203. [Pg.283]

Luzzi V, Mahadevappa M, Raja R, Warrington JA, Watson MA. Accurate and reproducible gene expression profiles from laser capture microdissection, transcript amplification, and high density oligonucleotide microarray analysis. J Mol Diagn 2003 5(1) 9-14. [Pg.284]

Schuetz CS, Bonin M, Clare SE, Nieselt K, Sotlar K, Walter M, et al. Progression-specific genes identified by expression profiling of matched ductal carcinomas in situ and invasive breast tumors, combining laser capture microdissection and oligonucleotide microarray analysis. Cancer Res 2006 66(10) 5278—5286. [Pg.285]

In Sections 2 to 4, we review the technology of synthetic oligonucleotide microarrays and describe some of the popular statistical methods that are used to discover genes with differential expression in simple comparative experiments. A novel Bayesian procedure is introduced in Section 5 to analyze differential expression that addresses some of the limitations of current procedures. We proceed, in Section 6, by discussing the issue of sample size and describe two approaches to sample size determination in screening experiments with microarrays. The first approach is based on the concept of reproducibility, and the second approach uses a Bayesian decision-theoretic criterion to trade off information gain and experimental costs. We conclude, in Section 7, with a discussion of some of the open problems in the design and analysis of microarray experiments that need further research. [Pg.116]


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See also in sourсe #XX -- [ Pg.601 , Pg.602 , Pg.603 , Pg.604 , Pg.605 ]




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