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With the advent of high resolution sequencing technologies there has been increasing interest in the study of genome-wide epigenetic modification patterns that govern the underlying gene expression events of a particular cell or tissue type.
Apparently, the histone modification patterns that were detected in actively dividing cells could be partially related to malignant transformation hence, they can not be generalized to predict chromatin status in vivo, especially when considering terminally differentiated post-mitotic cells such as neurons.
These sugars contain distinct modification patterns that regulate protein protein interactions.
Differentially expressed genes and pathways were identified, and gene expression was correlated to histone modification patterns that mark active and repressed chromatin.
Interpreting genome-wide epigenomic data relies on analyzing the interdependency of DNA methylation and histone modification patterns that cooperatively determine transcriptional activity.
Active or inactive states of gene expression are defined by specific epigenetic modification patterns that are either accessible to transcription factors and activators, or result in a closed chromatin structure that prevents activated transcription [ 1– 3].
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RNA-directed DNA methylation results in a characteristic modification pattern that is typified by methylation of cytosines in all sequence contexts (CG, CHG and CHH, where H is A, T or C) within the region of small RNA-DNA sequence homology [ 4].
The PMM mark is not essential for mitotic chromosome formation, but could form part of a more complex histone modification pattern that promotes mitotic chromosome formation.
HS3STs fall into two subgroups (Liu et al. 1999; Cadwallader and Yost 2006): Members of subgroup 1 can form a HS modification pattern required for antithrombin binding to HS (Shworak et al. 1997; Shworak et al. 1999), and members of subgroup 2 can create a HS modification pattern that mediates herpes simplex virus-1 infection of Chinese hamster ovary cells in culture (Shukla et al. 1999).
In an attempt to find some combinatorial histone modification variation patterns that may be common in HPTFs, a hierarchical clustering analysis was performed.
The good performance of our predictor indicates stringent sequence constraints on acetylation modification recognition patterns that are readily distinguished from the sequences surrounding unmodified lysines.
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