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Next, the influence of natural genetic variation on gene expression was studied by measuring the transcript levels of all genes of all strains, corrected for differential hybridization.
Quantitative real-time PCR (qPCR) was used to validate transcriptome expression levels for each library by measuring the transcript and gene expression levels separately for each crab used in the exposure experiment.
As differences were observed in the expression of CCR5 in BAL compared with that in blood, CCR5 ligand levels were ascertained in the two compartments by measuring the transcript levels of the three CCR5 agonists RANTES, MIP-1β and MIP-1α in BALMCs.
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These variations were further characterized at the molecular level by studying the transcript profiling of representative defense-related genes after P. emaculata inoculations in Bd21 and by measuring the basal transcript levels of these genes in a few accessions.
Functional symbiotic structures where determined by measuring the MtPt4 transcript abundance [[ 3]] and the relative colonization level was determined by measuring the RiTEF transcript abundance [[ 41]].
We investigated the gene regulation reflecting overall metabolic and physiological changes that occur when Mtb is subjected to the multiple stress condition by measuring the gene transcript levels at different time points under multiple-stress using whole genome microarray and qRT-PCR.
Overexpression of TAp73α was confirmed by measuring the p73 transcript.
Microarrays technologies allow the characterization of a whole-genome expression by measuring the relative transcript levels of thousand of genes in one experiment [ 10, 11].
This high throughput technique allows the characterization of the gene expression of the whole genome by measuring the relative transcript levels of thousands of genes in various experimental conditions or time points [ 1].
The results were validated by randomly selecting eight genes and measuring the transcript levels by qRT-PCR (Additional file 1: Table S1).
RNA-Seq technology has revolutionized the face of gene expression profiling by generating read count data measuring the transcript abundances for each queried gene on multiple experimental subjects.
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