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A strong correlation between transcript quantity and reference gene stability was only identified for one experiment (LPS stimulation of DH82 cells, R = -0.617).
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Spearman rank correlation coefficients were calculated for each experiment to determine the interaction between transcript quantity (CT value) and reference gene stability (rank order, as determined in tables 1, 2, 3, 4).
All other experiments where determined to have low correlation between reference gene stability and transcript quantity (r range = 0.238 to -0.280).
The relative quantity of viral genome units per GAPDH mRNA copy was calculated as the difference between the Log virus quantity and the corresponding Log GAPDH transcript quantity.
Each estimate of R was outside the CI associated with its counterpart, suggesting a significant difference in the extent of divergence between protein quantities and transcript quantities.
The difference between male and female antenna seems to be less one of transcript type and more one of transcript quantity, reflective of sexually dimorphic sensory prioritizations.
PCR on each gene was repeated in triplicate, and all gene transcript quantities were normalized to the housekeeping gene Housekeeping protein p31 transcript quantity.
The most comprehensive survey to date in model species revealed significant positive correlation between transcript and corresponding protein quantities for 71.4% of genes [ 30].
Linkage between regulated genes and the corresponding transcript quantities highlights tumor over-expressed transcripts as preferred targets for identifying hyper-splicing signatures [16].
The coefficient of correlation (r ) of the linear regression analysis was always greater than 0.986 as shown in Table 1, indicating a linear relationship between C t values and log-transformed transcript quantities in the range of the standard curve.
Furthermore, absolute quantification has important implications for gene expression profiling in that it provides the foundation for comparing transcript quantities produced by any gene with any other gene, within and between samples.
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