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By extending the transcriptome analysis to yeast species belonging to the Saccharomyces genus, it was possible to examine the conservation level of unknown non-coding RNAs and their putative functional role.
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In the past few years, DNA microarray for transcriptome analysis has been augmented by high-throughput sequencing methods; extending the reach of transcriptome analysis to the rodent species of biotechnological importance, for which the development of genomic tools has been lagging.
RNA-seq is a recently developed approach, extending the high-throughput sequencing to the profiling of the transcriptome.
Tophat analysis included a pre-alignment to the reference genome to filter out reads extending the maximum number of alignments (-M option) followed by alignment to the Ensembl swine reference transcriptome (-G) and alignment to the genome.
Analysis of the Paulownia transcriptome and its expression profile data is essential to extending the genetic resources for this species.
Here we address this issue by simultaneously profiling with microarrays the total mRNAs (the transcriptome) and the polysome-associated mRNAs (the translatome) after EGF treatment of human cells, and extending the analysis to other 19 different transcriptome/translatome comparisons in mammalian cells following different stimuli or undergoing cell programs.
RNA-seq greatly extends the possibilities of transcriptome studies to the analysis of gene isoforms, translocation events, nucleotide variations, and posttranscriptional base modifications.
RNA-Seq extends the possibilities of transcriptome studies to the analysis of previously unidentified genes and splice variants.
In 15/23 cases (68%), the transcriptome data extended the known sequence beyond that reported in GenBank by an average of 349 bp (range: 82-1,366 bp).
Overall, our sequencing efforts greatly extended the known A. pompejana transcriptome and proteome.
Transcriptome analysis extends the quantitative genetics (QTL) paradigm by providing information about an intermediate step between genotype and phenotype, potentially capturing not only genotypic but also developmental and environmental sources of variation.
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