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With the development of the next-generation high throughput deep sequencing technology, scientists now are able to identify somatic mutation patterns in a certain tumor tissue, like HCC.
The development of high throughput deep sequencing technology provides the possibility of a near complete view of miRNA profiles.
Therefore, we evaluated ultra-high throughput deep sequencing data representing small RNAs ranging from 18-32 nucleotides from the wild-type, Dgcr8 KO and Dicer KO ES cells.
However, closer analysis of these mRNAs and evaluation of ultra-high throughput deep sequencing for small RNAs either in the 18 32 or <200 nucleotide range failed to identify any additional mRNAs that are regulated by such a mechanism.
High throughput deep sequencing studies were performed in the Molecular Genomics Core at UTMB.
High throughput deep sequencing data has been used to analyze the vast amount of sRNA populations in plants [ 15- 20].
Similar(50)
High throughput deep-sequencing is a powerful tool for DEGs screening, especially for species without available genomic information [ 45, 47, 48].
Here, we profiled liver microRNA (miRNA), coding, and long non-coding RNA (lncRNA) expression by high-throughput deep sequencing in mice across multiple energy intake and expenditure interventions.
With the merit of the high-throughput deep sequencing technology, genome-wide cancer miRNAs can be quantitatively and accurately determined.
To determine whether the Microprocessor has a broader role in directly regulating other coding mRNA levels, we integrated results from expression profiling and ultra high-throughput deep sequencing of small RNAs.
Furthermore, we utilized high-throughput deep sequencing instead of microarray-based approaches for systemic analysis.
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