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A Practical Approach, Second Edition=Ronald D. Ho.pdf

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644 DEVELOPMENTAL REPRODUCTIVE TOXICOLOGY: A PRACTICAL APPROACH, SECOND EDITION59. Wlodarczyk, B.C., et al., Valproic acid-induced changes in gene expression during neurulation in amouse model, Teratology, 54, 284, 1996.60. Wlodraczyk, B., et al., Arsenic-induced alterations in embryonic transcription factor gene expression:implications for abnormal neural development, Dev. Genet., 18, 306, 1996.61. Wlodarczyk, B.J., et al., Arsenic-induced neural tube defects in mice: alterations in cell cycle geneexpression, Reprod. Toxicol, 10, 447, 1996.62. Wang, E., et al., High-fidelity mRNA amplification for gene profiling, Nat. Biotechnol., 18, 457, 2000.63. Ohyama, H., et al., Laser capture microdissection-generated target sample for high-density oligonucleotidearray hybridization, Biotechniques, 29, 530, 2000.64. Luo, L., et al., Gene expression profiles of laser-captured adjacent neuronal subtypes, Nat. Med., 5,117, 1999.65. Lee, M.L., et al., Importance of replication in microarray gene expression studies: statistical methodsand evidence from repetitive cDNA hybridizations, Proc. Natl. Acad. Sci. USA, 97, 9834, 2000.66. Pan, W., Lin, J., and Le, C.T., <strong>Ho</strong>w many replicates of arrays are required to detect gene expressionchanges in microarray experiments? A mixture model approach, Genome Biol., 3, research0022, 2002.67. Ginzinger, D.G., Gene quantification using real-time quantitative PCR: an emerging technology hitsthe mainstream, Exp. Hematol., 30, 503, 2002.68. Salonga, D.S., et al., Relative gene expression in normal and tumor tissue by quantitative RT-PCR,Methods Mol. Biol., 191, 83, 2002.69. Snider, J.V., Wechser, M.A., and Lossos, I.S., Human disease characterization: real-time quantitativePCR analysis of gene expression, Drug Discov. Today, 6, 1062, 2001.70. Mayanil, C.S., et al., Microarray analysis detects novel Pax3 downstream target genes, J. Biol. Chem.,276, 49299, 2001.71. Wurmbach, E., et al., Gonadotropin-releasing hormone receptor-coupled gene network organization,J. Biol. Chem., 276, 47195, 2001.72. Han, E., et al., cDNA expression arrays reveal incomplete reversal of age-related changes in geneexpression by calorie restriction, Mech. Ageing Dev., 115, 157, 2000.73. Choi, J.D., et al., Microarray expression profiling of tissues from mice with uniparental duplicationsof chromosomes 7 and 11 to identify imprinted genes, Mamm. Genome, 12, 758, 2001.74. Velculescu, V.E., et al., Serial analysis of gene expression, Science, 270, 484, 1995.75. Yamamoto, M., et al., Use of serial analysis of gene expression (SAGE) technology, J. Immunol.Methods, 250, 45, 2001.76. Datson, N.A., et al., MicroSAGE: a modified procedure for serial analysis of gene expression inlimited amounts of tissue, Nucleic Acids Res., 27, 1300, 1999.77. Peters, D.G., et al., Comprehensive transcript analysis in small quantities of mRNA by SAGE-lite,Nucleic Acids Res., 27, e39, 1999.78. Powell, J., Enhanced concatemer cloning-a modification to the SAGE (Serial Analysis of GeneExpression) technique, Nucleic Acids Res., 26, 3445, 1998.79. van den Berg, A., van der Leij, J., and Poppema, S., Serial analysis of gene expression: rapid RT-PCR analysis of unknown SAGE tags, Nucleic Acids Res., 27, e17, 1999.80. Margulies, E.H., Kardia, S.L., and Innis, J.W., A comparative molecular analysis of developing mouseforelimbs and hindlimbs using serial analysis of gene expression (SAGE), Genome Res., 11, 1686, 2001.81. Lanctot, C., et al., Hindlimb patterning and mandible development require the Ptx1 gene, Development,126, 1805, 1999.82. Takeuchi, J.K., et al., Tbx5 and Tbx4 genes determine the wing/leg identity of limb buds, Nature,398, 810, 1999.83. Kurachi, M., et al., Identification of 2,3,7,8-tetrachlorodibenzo-p-dioxin-responsive genes in mouseliver by serial analysis of gene expression, Biochem. Biophys. Res. Commun., 292, 368, 2002.84. Wasinger, V.C., et al., Progress with gene-product mapping of the Mollicutes: Mycoplasma genitalium,Electrophoresis, 16, 1090, 1995.85. Hellmold, H., et al., Identification of end points relevant to detection of potentially adverse drugreactions, Toxicol. Lett., 127, 239, 2002.86. Aardema, M.J. and MacGregor, J.T., Toxicology and genetic toxicology in the new era of “toxicogenomics”:impact of “-omics” technologies, Mutat. Res., 499, 13, 2002.© 2006 by Taylor & Francis Group, LLC

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