Exact(5)
A compilation dataset comprising 305 gene expression microarray observations and 4,217 genes from Escherichia coli MG1655 was obtained from the M3D database [30].
Our problem has the following inputs: the network structure, microarray observations and a response variable.
In our case we have N = 2904 microarray observations, and x covers the current selection of genes.
Strand-specific RT-PCR validated the microarray observations, and showed that antisense transcription is likely to be tissue specific.
These results agree with the microarray observations and suggest that phenotypic differences between the two lines may largely be determined embryonically during myogenesis.
Similar(55)
Apparent differences between liquid phase predictions and microarray observations arise from the combined effect of different aspects of the microarray experiment.
In the present study, we wanted to increase the validity of such microarray observations by performing additional RT-PCR and immunohistochemistry experiments and by linking our data to potential mechanisms of resistance to TNF blockade in RA.
Changes in expression, as assessed by microarray analysis, of BCL2, EPHA4 and EPHA3 were validated by real time PCR in each MSC population and confirmed the microarray observations (Figure 2).
After successful p63 depletion at the protein level, qPCR analyses revealed that all target genes analyzed displayed p63-regulated transcript changes that were consistent with those observed in our initial microarray observations, validating these genes as bona fide p63-regulated genes.
Consistent with our microarray observations in older mice, these retinoic acid-regulated and inflammatory genes were significantly elevated in SKO mice (Figure 4).
An assessment of SYP and PSD-95 expression was performed in the hippocampal CA1 sector of hTau and ntg mice via confocal laser scanning microscopy along with hippocampal immunoblot analysis for protein-based validation of selected microarray observations.
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