The strobila cluster was recently characterized using a Roscoff Aurelia strain [ 13] and was shown to express several unique Aurelia transcripts including CL390 and CL112, named by Fuchs et al. [ 13].
In some cases, several supposedly unique transcript sequences matched a single gene, mainly because they matched different regions of the gene.
However, G. tridactyla venom glands express several unique putative toxin transcripts (supplementary table S2, Supplementary Material online) not expressed in the body tissue, and which do not correspond to any known convergently recruited toxin types.
This study identifies several unique signatures of transcript and protein biomarkers with high predictive accuracies for mild and moderate/severe CAN, the most common cause of late allograft failure.
Proteomic analysis of blood samples using mass spectrometry has identified several unique signatures of transcript and protein biomarkers with high predictive accuracies for mild and moderate/severe CAN, which can be used for proteogenomic classification of CAN based on peripheral blood profiling, although the validity remains to be proven [ 114, 115].
Interestingly, several of the top unique transcripts in three species (A. kondoi, M. ascalonicus, and P. spyrothecae) matched peptides from A. pisum with no known similarity outside aphids (e.g., ACYPI30077 and others).
Comparisons of the number of ESTs representing unique transcripts also allowed the discovery of several genes differentially expressed between median and lateral nectaries, which were not previously observed in Arabidopsis via microarray analysis.
The annotated reads were down-sampled to several pre-determined sequencing depths and for each point the number of unique transcripts were counted.
It is important to note that the libraries did not only consist of unique transcripts, it was possible that more than one sequence and/or several copies of a sequence were present on the slide.
Several transcripts are represented by more than one probe set; the 21885 probe sets with annotation corresponds to 14414 unique transcripts.
