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We can now analyse the expression patterns of multiple genes by use of microarrays, rapid gene sequencing, and proteomics, and so need to reassess the way we design clinical trials to take full advantage of these new opportunities.
Cluster analysis was used to analyse the expression patterns of contigs that showed significant changes in expression (p<0.01) in any of the two way comparisons between seedling treatments.
First, we carried out semi-quantitative RT-PCR experiments to analyse the expression patterns of the Echinococcus insulin receptor genes in different larval stages.
Ct values obtained using the Rotor-Gene software were analysed using REST-MCS utility (Pfaffl et al. 2002) to analyse the expression patterns of the three genes named above in response to Foc inoculation.
Preliminary quantitative PCR experiments were set up to analyse the expression patterns of the genes from the panel using biological pools of non-precocious parr testes and precocious parr testes.
We aimed to analyse the expression patterns of the most promising class I HDACs (HDAC-1, -2 and -3) in a representative cohort of primary bladder cancers and correlated these to clinico-pathological parameters including tumour stage, grade, multifocality, adjacent carcinoma in situ, growth pattern and finally clinical follow-up data.
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RT-PCR experiments were used to analyse the expression pattern of HAM genes.
To analyse the expression pattern of LC3B, immunohistochemical studies were performed on human breast cancer TMA.
Furthermore, a transcriptional pWUSCHEL: GUS line [ 43] was used to analyse the expression pattern of WUSCHEL in developing ovules.
In order to analyse the expression pattern of genes encoding CWPs, Complete Arabidopsis Transcriptome MicroArrays (CATMAs) were used [ 25, 26].
Several groups have implemented microarray technology to analyse the expression pattern of miRs in murine and/or human diabetic and non-diabetic heart [ 113, 121- 123].
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