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We used a custom cDNA microarray to profile brain transcript expression in a model species, the rainbow trout, which forms tractable linear hierarchies.
Previously, we also created a 4K-cDNA microarray to profile gene expression in E. fetida as differentially affected by exposure to explosive compounds [28], [29].
We first used microRNA microarray to profile progressing LGDs from non-progressing LGDs.
Later, Lodes et al (2009) used a custom microarray to profile miRNAs in serum from patients with various cancer types.
We first used microRNA microarray to profile progressing LGD oral premaligant lesions (OPLs) from non-progressing LGD OPLs in order to explore the possible microRNAs deregulated in low grade OPLs which later progressed to HGD or OSCC.
To explore further the molecular mechanisms of transplacental arsenic hepatocarcinogenesis, we conducted a second arsenic transplacental carcinogenesis study and used a genomewide microarray to profile arsenic-induced aberrant gene expression more extensively.
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Here, we further examined the gene expression profile by using genome microarrays to profile molecular mechanisms of SWCNT oncogenesis.
As a step toward understanding the intrinsic differences between SMCs from different anatomical locations, we used DNA microarrays to profile global gene expression patterns in 36 SMC samples from various tissues after propagation under defined conditions in cell culture.
A number of studies have used DNA microarrays to profile gene expression in reprogramming of somatic cells into iPS cells, all of which focused on mRNA levels.
To identify the molecular basis of the host response to Bd infection, we used microarrays to profile gene expression in the cold and warm infected cohorts at days 7 and 42 of infection (see Figure S1 for the experimental design).
ImmGen used microarrays to profile the mRNA of most immune cell types under carefully standardized conditions.
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