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It is hoped that by mapping the location of these genes, scientists could identify mutations that impact on brain function and may cause diseases such as Parkinson's to develop.
Thus the genetic interaction network map was capable of identifying additional mutations that impact on resistance to DNA damaging agents including DOX.
This could be due to variations that create splice variants, UTR mutations that impact mRNA stability and protein expression, or mutations that impact transcription of AID, including alterations to transcription factor binding sites or sites important for epigenetic modulation of expression.
An alternative approach for highlighting mutations that impact miRNA regulation is through analyses of the transcriptome.
Here we have taken the approach of screening for mutations that impact the regulation of the meiotic maturation process in C. elegans.
Therefore, mapping power should be much less affected by mutations that impact reproductive fitness, allowing smaller population sizes to be used.
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To ensure that the ∆ ptpB strain (containing ∆ ptpB:: pyrG Af deletion cassette) did not possess additional mutations that impacted on carbon metabolism, it was sexually crossed with a strain containing the nonfunctional pyrG89 mutation, which is auxotrophic for uridine and uracil.
The conclusion of the paper is highly interesting: that RNA chaperones may buffer mutations that could impact on mRNA folding.
Many mutations that significantly impact organismal fitness (owing to the disruption of protein function) manifest themselves in the form of diseases in populations, whereas mutations with small or insignificant fitness effects are found as polymorphisms (Kumar et al. 2009, 2011).
In this statistical approach, an ω < 1 indicates the action of purifying selection (i.e., a selective constraint against mutations that negatively impact the function of the protein); ω = 1 is consistent with neutral evolution, and ω > 1 indicates positive Darwinian selection (i.e., favoring the fixation of beneficial amino acid changes) [ 49].
On the one hand, we used a data set distinguishing amino acid mutations (nsSNPs) that impact function from those that do not.
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