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To this end we investigated the first step of regulation by adjustment of transcript levels, that represents the basis for translation, modification and ultimately signaling output.
Our analysis provided not only information on the cell-specific activity of genes known from transcriptome studies using pooled tissue samples, but moreover identified the differential expression of novel genes and revealed a fine-tuned adjustment of transcript accumulation within root tissues in response to fungal colonization.
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Taken together, these transcription patterns revealed a road map of fine-tuned adjustments of transcript accumulation within root tissues during the process of AM fungal colonization.
Our genome-wide analysis provides novel information on the cell-specific activity of AM-activated genes during both early and late stages of AM development, together revealing the road map of fine-tuned adjustments of transcript accumulation within root tissues during AM fungal colonization.
We focus on the latter method, as it does not require an adjustment of the transcript length.
Thus, methodological adjustments improving accuracy of transcript level estimation by high throughput sequencing might be possible.
A large fraction of sequence discrepancies can be resolved by adjustment of the requirement for transcript sequence coverage depth and inclusion of additional gene models from the BestModelv1 set.
Adjustments of mitochondria-associated transcript and protein expression were probed and assessed for linear relationships to cellular and functional variables of oxygen metabolism.
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If sequence, as well as sequence context, introduces subtle adjustments to the final measured value of a transcript, then it may not be possible to know which measurement is the most accurate measurement of transcript abundance.
The decrease of photosynthesis transcripts may indicate an adjustment of photosynthetic rates, often associated with a specific role in protection against oxidative stress.
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