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By using single gene deletions and peroxide treatment, we observed oxidation-specific bands at the expected molecular weight (∼22 kD) only in strains with wild-type TSA1, indicating that the anti-PRX-SO2/3 antiserum specifically recognizes over-oxidized Tsa1.
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Motivated by the limitations in predicting drug response using single gene markers and the better performance promised by subnetwork markers, this article aims to identify subnetwork markers to predict chemotherapeutic response, as detailed below.
To test this view, we examined the functional compensation by duplicate genes in Arabidopsis thaliana, using single-gene knockout data.
The present study was designed to evaluate the contribution to learning of each of these genes by using single knockout (SKO) and double knockout (DKO) mice in an active avoidance test.
Levels of mRNA were investigated using custom made TaqMan Array Cards (Life Technologies) containing 47 gene expression assays including assays for the reference genes, or by using single assays and a previously documented procedure [ 15] (Additional file 1).
For this, gene families were constructed by using single-linkage clustering, and the gene topology was ordered based on Ks distances between paralogs.
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We used single-gene and combined datasets.
Moreover, we offer both APC and/or RASSF1A to diminish the influence of histological type that might be caused by using a single gene.
Besides, efforts on analyzing multiple genes to find more reliable prognostic or predictive biomarkers and even on studying gene-environment interaction should be made, because it is hard to predict complex clinical outcomes of lung cancer patients by using only single gene.
This observation has been corroborated by the study of Wnt gene expression using single molecule FISH (smFISH) in C. elegans (Harterink et al., 2011).
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CEO of Professional Science Editing for Scientists @ prosciediting.com