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A parametric framework is expected to be suitable for achieving such universality of data by allowing the transcriptome to be described in terms of parsimonious models based on thermodynamic models for the formation of the transcriptome in a cell [8] and the detection of RNA by hybridization [1].
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This would be greatly enhanced by the availability of expressed gene sequences in the databases and by cDNA arrays allowing the transcriptome analysis of any function.
Single cell RT-PCR allows the transcriptomes of thousands of cells to be processed simultaneously (Wu et al., 2014; Redmond et al., 2016).
Using Caenorhabditis elegans as a model, we show that extending lifespan by inhibiting serotonergic signals by the antidepressant mianserin attenuates transcriptional drift, allowing the preservation of a younger transcriptome into an older age.
The miRNA targets were identified in Aa and Am transcriptomes by allowing 3 mismatches using a custom search in psRNAtarget http://bioinfo3.noble.org/psRNATarget/.org/psRNATarget/
This allowed the comparison of the transcriptomes of the different treatments.
Modern transcriptome analysis allows the monitoring of stress related changes on a genomic scale.
Deep sequencing of the sRNA transcriptomes also allowed the confident identification of previously unknown miRNAs whose expression is regulated by treatment with M. oryzae elicitors in rice (Campo et al. 2013; Baldrich et al. 2015).
These signatures allowed the determination of minipig tissue transcriptomes with gene expression profiles similar to human.
For example, TopHat/Cufflinks supports a mode that allows users to specify the transcriptome by supplying an annotation database (a GTF file).
Metabolic flux analysis furthermore revealed cellular events not predicted by the transcriptome analysis.
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