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Using both microarray and RT-qPCR, we have also shown that RPL29 was unchanged when the cells were differentiated.
Furthermore, processing and normalization of the results set can also influence both microarray and RT-qPCR data [ 27, 28].
Both microarray and RT-qPCR results also revealed that induction of sodC, encoding Cu, Zn superoxide dismutase, was rsh-dependent.
Both microarray and RT-qPCR analyses demonstrated significant differences in Ifnar1, Ifnar2 and Stat1 expression levels in the P84 cerebral cortex and cerebellum.
The expression profile of a gene was considered to be validated when both microarray and RT-qPCR data showed a consistent directional change with fold differences ≥ 1.50 or ≤ 0.67.
Results for within-run variation show that deviation in signal output was higher for both microarray and RT-qPCR platforms at the lower end of tested range (10 copies/ng).
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The cadherin described as a Cry11Aa-receptor in Ae. aegypti (AAEL007488) [ 34] was found 1.47 fold under-transcribed in both microarrays and RT-qPCR experiments.
For better comparison of the results obtained with both techniques, microarray and RT-qPCR, Morphine vs. Control fold changes are indicated with positive and negative values for up- and down-regulations, respectively.
Finally, good agreement was found between the microarray and RT-qPCR results for immune response genes in response to both 'n-3 LC-PUFA' (Table 5) and 'total lipid' (Table 6) factors.
The correlation coefficient between microarray and RT-qPCR data was 0.7856 (P < 0.01), which can be considered as a good positive correlation.
Furtherly, gene expression profile for cells within the repair tissue was compared with the allogenic chondrocytes before transplantation using Agilent microarray and RT-qPCR.
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