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This feature was circumvented by validating expression patterns of a selected set of genes (ICAM1, TNFAIP3, IL1B, PDE4B, PPP1R15A, NFKBIA, CCL4, IL8, ADM).
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In order to validate expression patterns of the long npcRNAs in response to powdery mildew infection and/or heat stress, expression patterns of 4 long npcRNAs, TapmlnRNA19, TapmlnRNA30, TahlnRNA27 and TalnRNA5, were determined by using quantitative RT-PCR analysis.
Molecular biologists who study any one of these pathways may select candidate gene targets of these pathways uncovered by this study and validate the expression patterns both in experimental models (models using prostate cells in particular) and in human prostate tumor specimens.
Based on the results of high-throughput sequencing, we selected those miRNAs with changes in expression levels being greater than 1.5-fold in response to drought treatment to validate the expression patterns by real-time quantitative PCR.
To validate the expression patterns observed by microarray, RT PCR was utilized.
To validate the expression patterns revealed by digital transcript abundance measurements results, seven genes identified through digital transcript abundance measurements were analyzed using quantitative real-time PCR.
In this study, nine TDFs from C. sinensis leaves and nine TDFs from C. grandis ones were selected for qRT-PCR analysis in order to validate their expression patterns obtained by cDNA-AFLP analysis.
Furthermore, RT-qPCR validated the expression patterns of eleven of these differentially expressed miRNAs.
To validate the expression patterns, several candidate genes were selected for quantitative RT-PCR.
qRT-PCR analysis further validated the expression patterns of some significant genes.
RT-qPCR analysis validated miRNA expression patterns for five miRNAs and their corresponding target genes.
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