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Eight genes that failed to be validated in qRT-PCR were poorly expressed genes.
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These HiSeq results were validated in a separate qRT-PCR assay, with significant correlation (R = 0.69, P < 0.05) between results from the two methods.
Fourth, some of the predicted direct target-relationship miRNA-mRNA pairs were selected to be validated in an extended cohort of CRC tissues by qRT-PCR detection.
Furthermore, some conserved miRNAs and their targets were validated in N. nucifera by qRT-PCR (Figs. 5, 6).
The GeXP data for CXCLi2, IFN-γ, IL-12α and IL-18 gene expression in the spleen and bursae were validated via qRT-PCR, using the primers and probes described by Kaiser et al. [ 19] and Kogut et al. [ 20], with some modification of the PCR reaction protocols (Table 2).
The correlation between the best biomarker candidate MEK1 and survival was validated in two independent cohorts by qRT-PCR (n = 34, HR = 5.8, p = 0.003) and IHC (n = 59, HR = 4.3, p = 0.033).
Finally, the strongest biomarker candidate - MEK1 - was validated in two independent clinical cohorts using qRT-PCR and immunohistochemistry.
Both mRNA and miRNA expression levels were validated in CRC and normal tissues using qRT-PCR method using the Applied Biosystem ABII) Detection system.
Expression levels of ten differentially regulated genes were validated in inoculated and control plants using qRT-PCR showing that the P665 accession shows constitutively an increased expression of the defense related genes as peroxidases, disease resistance response protein 39 (DRR230-b), glutathione S-transferase (GST) and 6a-hydroxymaackiain methyltransferase.
The qrt-PCR assay was validated in 43 environmental samples collected from the Conero Riviera during both non-bloom and bloom conditions.
The expression profiles of 10 genes differentially expressed according to the microarray experiment were validated in inoculated and control plants using two steps qRT-PCR.
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