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Statistically significant transcript abundance changes were found for both transcript technologies for cultivar, treatment, and cultivar x treatment effects [ 46].
Similar(59)
To do so, several large-scale transcript detection technologies have been developed, chief among which are variants of microarray technology [ 1, 2], expressed sequence tags (ESTs) [ 3], and serial analysis of gene expression (SAGE) [ 4].
Gene expression signature discovery has been dominated by transcript profiling technologies.
Transcriptomes of various germinating tissues in barley have been determined using a variety of transcript profiling technologies [ 31- 35].
As evidenced by many talks at the conference, RNA transcript profiling technologies continue to mature, clearly benefiting from the completion of the human genome sequence.
We studied the dominant P1 glabrous soybean mutant using two high throughput transcript sequencing technologies to reveal major expression differences between the two genotypes.
The methods for analysis of gene expression have advanced from single-gene approaches to a variety of global transcript profiling technologies [ 63, 64].
Currently, transcript profiling technologies include DNA microarray [ 1], Serial Analysis of Gene Expression (SAGE) [ 2], Massive Parallel Signature Sequencing (MPSS) [ 3] and recently the sequencing technologies from 454 Life Sciences (now Roche) [ 4] and Solexa (now Illumina).
Since the mid-1990's, DNA microarrays [ 1- 3], cDNA subtraction [ 4- 7] and Serial Analysis of Gene Expression (SAGE) [ 8] have emerged as the leading transcript profiling technologies in the global analysis of biological systems.
High-throughput gene transcript profiling technologies, such as serial analysis of gene expression (SAGE) and microarray hybridization, are powerful approaches to evaluate global gene expression in tissues or cells of interest in response to experimental treatments or changes in physiological state.
Although an early generation transcript profiling technology, as a PCR-based technology, cDNA-AFLP allows the amplification of even lowly expressed transcripts and can identify uniparentally expressed transcripts for all cases where there is a restriction site polymorphism between the parental alleles.
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