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The little overlap between trancscriptomic and proteomic data is in accordance to other combined studies in plants [ 48, 49].
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This indicates that linear and non-linear dependencies between transcriptomic and proteomic data play a role.
Studies have shown similar low correlation between transcriptomic and proteomic data, particularly when the depth of proteomic data is limited [25,33,34].
As expected, only partial correlation was obtained between transcriptomic and proteomic results during stationary-phase.
Therefore, our comparison shows evidence of considerable overlap between transcriptomic and proteomic studies in PTB.
Moreover, the correlation between transcriptomic and proteomic abundances in snake venom has traditionally been poor [ 37].
To test the correlation between transcriptomic and proteomic data we collected hemolymph samples from untreated and LPS-injected larvae.
We found a poor correlation between microarray and proteomic results.
While proteomic analysis identified a total of 646 proteins in analyzed samples, a very limited overlap between genomic and proteomic data was observed.
The objective of this exploratory study was to investigate the proteomic profile of patients receiving low- and high-dose warfarin and to perform correlative studies between genotypic and proteomic markers in the two groups of patients.
The present study demonstrated a good correlation between genomic and proteomic analyses and showed that each subtype expresses a different proteomic profile, and these were categorised into four main proteomic groups.
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