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DNA alignment was carried out according to the tilting method, and this resulted in highly aligned DNA patterns on the substrate [16, 18].
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Using even unoptimized 5′-Anch100-C24/3′-cA20-C16, we found efficient adhesion between ESCs and complementary 7 μm diameter spots of DNA patterned on glass surfaces, allowing the preparation of live, single cell microarrays with more than 95% occupancy.
However, although these analyses revealed an overall dilution effect on DNA methylation, they did not address how DNA methylation patterns on both complementary DNA strands (complementary CpG dinucleotide; CpG dyads) are affected, and therefore could not draw conclusions on the possible mechanisms controlling DNA methylation.
We performed the DNA pattern search on the E. coli K-12 MG1655 whole genome, with no mismatch allowed, narrowing our search to the 200 bp upstream of predicted start codons.
In this study, we address these open questions by simultaneously analyzing the changes in DNA methylation patterns on both complementary DNA strands during the early phases of mouse development.
Characteristic DNA patterns were found flow cytometrically, depending on the type of strain, substrates and growth conditions involved; this information can be used for the development of control strategies of bioprocesses, although some skill is required.
By uncovering DNA methylation patterns on individual genes, some genes accurately modulated by DNA methylation were found to be associated with cancers and virus infection, e.g., AKT1 and CTNNB1.
Although several bacteria are implicated in alterations of host cell DNA methylation [ 23], this is the first demonstration that infection by an intracellular bacterium alters host DNA methylation patterns on a genome-wide scale.
The present report is a systematic study of DNA methylation patterns on adult de novo AML.
To test this hypothesis, we used ChIP assays to detect dSETDB1-mediated H3-K9 anDNANA methylation patterns on the Rb locus.
Mouse ES cells were differentiated in the presence or absence of genistein, and DNA methylation patterns on day 10 were compared by microarray-based promoter methylation analysis coupled with a methylation-sensitive endonuclease (HpaII/McrBC -dependent enricHpaII/McrBC -dependent
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