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Analysis of gene expression

The field of gene expression analysis has only recently become of broader interest to users of mass spectrometry. The reason for this lag in interest was simply the lack of methods allowing the absolute quantification of NAs in general, or mRNA in particular. Mass spectrometry only allows an endpoint analysis, and even then a standard for normahzation (such as a second allele) is required. Hence, the approaches used have focused on the semi-quantitative analysis of allelic expression which, as described above, is a rather narrow-albeit expanding-field of research. [Pg.219]

In a different approach. Ding and Cantor recently described the use of an internal standard added to cDNA samples to enable the quantification of NAs with technologies lacking real-time monitoring capabilities (as are employed for realtime PCR) [225]. This approach uses a synthetic oligonucleotide designed to match [Pg.219]

The post-PCR primer extension reaction targets the nucleotide difference between the internal standard and the cDNA, and generates two specific products that resemble the same reaction performed for aUele-ffequency determination. Analysis of the peak areas allows not only for a relative comparison of cDNA amount versus internal standard, but also for an absolute quantification, as the concentration of the internal standard is known. The use of an internal standard with the same sequence as the target sequence alleviates common issues related to quantification. Due to the same PCR amplification efficiency, the process is PCR-cycle-independent, and real-time monitoring of the amplification process becomes obsolete, as it will impact on both the internal standard and the cDNA in the same way. [Pg.220]

The description by Ding and Cantor is very recent, and further use of the proposed method in various laboratories will demonstrate the utility and accuracy of the approach. The competitor PCR approach described by Ding and Cantor against real-time PCR (rtPCR) was validated in a more recent report from Elvidge et al., who demonstrated a good correlation between real-time PCR data and MALDI-TOF-MS data [226]. There was, however, a significant difference in sensitivity, with low-abundant mRNAs being much more readily detected and quantified by the [Pg.220]

The basic concept described by Ding et al. has recently been extended to exciting new aspects of gene expression, including the quantitation of allele-specific expression and the quantitative analysis of splice variants [227, 228). [Pg.221]


DNA microarrays, or DNA chips consist of thousands of individual DNA sequences arrayed at a high density on a single matrix, usually glass slides or quartz wafers, but sometimes on nylon substrates. Probes with known identity are used to determine complementary binding, thus allowing the analysis of gene expression, DNA sequence variation or protein levels in a highly parallel format. [Pg.526]

Kalocsai P, Shams S. Visualization and analysis of gene expression data. J Assoc Lab Automation 1999 4 58-61. [Pg.490]

Porter DA, Krop IE, Nasser S, et al. A SAGE (serial analysis of gene expression) view of breast tumor progression. Cancer Res 2001 61 5697-5702. [Pg.345]

Apart from SR-BI, SR-BII, CD36, and ABCA1, a microarray analysis of gene expression in human RPE reveals some additional lipid transporters that might potentially be involved in intracellular transport of carotenoids and/or their efflux from the RPE cells into the neural retina or out of the retina into the choroidal blood (van Soest et al., 2007). These include other ABC... [Pg.321]

Medhurst AD et al. The use of TaqMan RT-PCR assays for semiquantitative analysis of gene expression in CN S tissues and disease models. J Neurosci Methods 2000 98 9-20. [Pg.111]

Welsh JB et al. Analysis of gene expression profiles in normal and neoplastic... [Pg.114]

Goyns MH et al. Differential display analysis of gene expression indicates that age-related changes are restricted to a small cohort of genes. Mech Ageing Dev 1998 101 73-90. [Pg.116]

Kittler JF et al. Large-scale analysis of gene expression changes during acute and chronic delta9-THC in rats. Physiol Genomics 2000 3 175-185. [Pg.117]

De Waard B et al. Serial analysis of gene expression to assess the endothelial cell response to an atherogenic stimulus. Gene 1999 226 1-8. [Pg.117]

Marrack P et al. Genomic-scale analysis of gene expression in resting and activated Tcells. Curr Opin Immunol 2000 12 206-209. [Pg.117]

B, Kinzler KW. Serial analysis of gene expression. Science 1995 270 484—487. Schena M, Shalon D, Davis RW, Brown PO. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 1995 270 467-470. [Pg.231]

N. Zhao, H. Hashida, N. Takahashi, Y. Misumi, and Y. Sakaki, High-density cDNA filter analysis a novel approach for large-scale, quantitative analysis of gene expression. Gene 156, 207-213 (1995). [Pg.398]

Pina B, Casado M, Quiros L (2007) Analysis of gene expression as a new tool in ecotoxicol-ogy and environmental monitoring. Trends Analyt Chem 26(11) 1145—1154... [Pg.294]

We thank Dr. Jacky Snoep for collaborating in the time scale analysis of gene expression and metabolism, Douglas Kell for helpful discussions, and the Commonwealth of Virginia for financial support. [Pg.10]

TORONEN, P KOLEHMAINEN, M., WONG, G, CASTREN, E., Analysis of gene expression data using self-organizing maps, FEES Lett., 1999, 451, 142-146. [Pg.61]

MATSUMURA, H., NIRASAWA, S., TERAUCHI, R., Transcript profiling in rice (Oryza sativa L.) seedlings using serial analysis of gene expression (SAGE), Plant J., 1999, 20, 719-726. [Pg.193]

Burns, N., Grimwade, B., Ross-Macdonald, P., Choi, E.-Y., Finberg, K., Roeder, G., and Snyder, M. (1994). Large-scale analysis of gene expression, protein localization, and gene disruption in Saccharomyces cerevisiae. Genes Dev. 8, 1087—1105. [Pg.333]

Analysis of Gene Expression in the Brain Using Differential Display... [Pg.371]

Analysis of gene expression in the brain using differential display... [Pg.372]


See other pages where Analysis of gene expression is mentioned: [Pg.170]    [Pg.145]    [Pg.162]    [Pg.364]    [Pg.116]    [Pg.29]    [Pg.231]    [Pg.159]    [Pg.273]    [Pg.86]    [Pg.117]    [Pg.329]    [Pg.274]    [Pg.57]    [Pg.142]    [Pg.185]    [Pg.265]    [Pg.51]    [Pg.80]    [Pg.369]    [Pg.372]    [Pg.372]   
See also in sourсe #XX -- [ Pg.431 ]




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Expression analysis

Expression of genes

Gene analysis

Gene expression analysis

Gene, genes analysis

Serial analysis of gene expression

Serial analysis of gene expression SAGE)

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