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DNA microarray technologies provide exciting opportunities for analysing the expression levels of thousands of genes simultaneously [ 1].
A two step verification strategy was used, in which we started out by analysing the expression levels of 89 candidate transcripts, which were subsequently narrowed to 12 strong candidates for neuroblastoma progression.
Besides analysing the expression levels of the TfRc by RT PCR in the N20.1 cell line, the use of Tf-TR confirmed that Tf was readily incorporated into the cells, and was further confirmed by the use of confocal microscopy.
Therefore, we determined the correlation between H3K9me2 enrichment and enhancer activity by analysing the expression levels of enhancer RNAs (eRNA), which is a hallmark of active enhancers (Kim et al., 2010).
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To validate the RNA-Seq results, we used real-time RT-PCR to analyse the expression levels of 24 differentially expressed genes.
To identify miRNAs differentially expressed in NPC, we analysed the expression levels of 270 human miRNAs in 13 NPC and 9 normal nasopharyngeal tissues.
Here, we quantitatively analysed the expression levels of APP, IL-1β, and C1QA and determined the localisation of APP in gingival tissues.
We used this database to analyse the expression levels of the Arabidopsis gyrase genes in selected experiments to see whether GYRB3 expression correlated with that of the other gyrase genes.
To determine the contribution of both proteins to the repression of MBF-dependent transcription we analysed the expression levels of 14 MBF-dependent transcripts in wt, nrm1Δ and yox1Δ cells (Figure 2B).
To confirm the involvement of proteolytic pathways in drug-induced NANOG and OCT4 degradation, we analysed the expression levels of several key regulatory factors of these pathways in a time course experiment by RT-PCR.
Affymetrix chip technology was used to analyse the expression levels.
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