Titlebook: Cardiac Gene Expression; Methods and Protocol Jun Zhang,Gregg Rokosh Book 2007 Humana Press 2007 DNA.In silico.Microarray.PCR.Polymerase Ch

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Inequalities for mixing processes,paration and sequencing of cDNA concatemers, but it does not require prior knowledge of the genes to be assayed (as with microarrays). Once analyzed, SAGE data provide both a qualitative and quantitative assessment of potentially every transcript present in a particular cell or tissue type. In this

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https://doi.org/10.1007/978-1-4684-0489-0tractive suppression hybridization represents a large-scale, unbiased method for detecting transcriptionally and posttranscriptionally regulated genes, both known and unknown, independently of the prevalence of these transcripts. The strength of subtractive hybridization relies on its unbiased natur

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The local time density estimator,analysis of components controlling its expression, namely, .-acting regulatory elements and their cognate binding proteins. It also enables assembly of meaningful reporter constructs to examine promoter function in different cellular contexts. In this chapter, basic protocols for two experimental ap

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The local time density estimator,hanisms that regulate gene expression in the myocardium. Initial studies focused on the regulated expression of contractile genes, since their transcripts are abundant and their cDNAs were among the first to be cloned. More recent studies have focused on the promoters of genes expressed at much lowe