Sentence examples for expression profiling applications from inspiring English sources
Sample conservation remains critical for the success of expression profiling applications.
The implications of gene expression profiling applications such as this one in the clinical development of novel molecular therapies are discussed.
Although recently developed deep sequencing approaches for the analysis of cellular RNA provide a wealth of information not accessible using microarrays, we consider that the platform described here remains a robust and cost-effective approach for most genome-wide expression profiling applications in P. tetraurelia.
Since it has been estimated that the Atlantic cod genome contains over 22,000 genes [ 20], the 20K microarray is necessarily missing some cod genes; however, this microarray platform has been effectively used for a variety of global transcript expression profiling applications [ 19, 21– 24] and is a suitable resource for the current larval transcriptome study.
With advances in gene expression profiling and application of microarray technology to the field of infectious diseases, we can now more clearly define the host's immune response to a pathogen and identify a unique biosignature that is not limited by traditional diagnostic or microbiologic techniques [16] [18].
Moreover miRNA expression profiling has further applications in novel anti-fibrosis therapy in CH. 105 liver tissues samples from chronic hepatitis C patients (genotype 1b) were obtained by fine needle biopsy (Table S1).
Although the major use of DNA microarrays has been for mRNA expression profiling, there are other applications [25].
We therefore conclude that gene expression profiling appears promising for application to the analysis of environmental health risks.
Early applications included expression profiling and DNA mutation analysis [ 1].
This is one of the most promising and powerful applications of expression profiling with expression microarrays.
With the extensive applications of expression profiling, microarray analysis on miRNAs has become a fast and effective approach to detect distinctive signatures for specific tissues or disorders [ 13, 14].
