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Previous work suggested roles for Drosophila Importin-α2 in the nervous system based on transcript expression [21].
Finally, we divided all exons into five bins based on transcript expression levels in lung fibroblasts obtained from [27] (this particular tissue was chosen as it was relevant for subsequent analyses).
Gene expression differences were displayed in a two-dimensional heatmap false colored based on transcript expression levels.
Considering that RNA-Seq mainly estimates exon expression and that most genes have multiple transcripts, it is necessary to determine how to estimate gene expression level based on transcript expression data.
Transcripts predicted to encode all the enzymes of the MEP and MEV pathways, GGPSs, diTPSs, CYP450s and GTs are identified and classified, and based on transcript expression patterns, their role in the tissue-specific accumulation of medicinal ent-LRDs is discussed.
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Positive ones were screened for err1 expression based on transcript analysis, and the one with the highest increase in err1 expression compared to its parental strain (named PEC1) was chosen for further characterization.
Using a transcript count of 32 as a lower bound, we were able to define a threshold for miRNA expression based on transcript abundance.
Unpaired group comparisons, based on Transcript Per Million (TPM), were used as expression values to compare different samples.
In addition to the correlation based on transcript levels, correlation analysis between protein expression levels (immunohistochemical scores, Table 4B) and histopathological alterations (Table 3) was performed.
Expression summarizations for transcripts were calculated from exon expression by linear algebra based on transcript records in external databases.
Based on transcript abundance, 10 genes were identified with significant expression fold changes among the parental lines.
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