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Zhou et al. detected a large number of targets for miR156 and miR396 and a small number for miR162, miR167, miR395, miR398 and miR399 in rice [ 33]. miRNAs with a large number of targets may represent nodes in gene regulatory networks, while those with a small number of targets may act through more specialized pathways.
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Of these 23 genes, several are similar to senescence associated WRKY genes from other species and may represent conserved nodes in senescence signaling.
Friedman and Goldman-Rakic [ 50] first suggested that these regions may represent important nodes of a working memory network by demonstrating concurrent metabolic activation during working memory tasks in monkeys.
Such genes which exhibit multiple mechanisms of deregulation, for example, may represent important nodes in pathways such as hub proteins [ 47], whereby disruption of the gene has an effect on multiple downstream targets or genes with biological and/or clinical relevance.
Thus standards of care, placebo, or other treatments that may easily be overlooked represent nodes of which the exclusion could be influential to the network results.
The spheres represent nodes and sphere size is proportional to the node degree.
The spheres represent nodes, with sphere size proportional to the degree of the node.
Finally, we have identified 26 direct Oct4 transcriptional targets which may represent candidate regulatory nodes by which cell fate decisions could be directed to facilitate the use of hESCs in therapeutic and regenerative medicine (Figure 4A and Table S2).
The resulting RA map is a directed network between molecules involved in RA, where each node represents a single molecule and links between two nodes may represent state transition (the transition of one node from one state to another state, namely activation, inhibition or phosphorylation), transcription, translation or transport.
Very small, well-defined round masses have also been described and may represent intramammary lymph node involvement.
SIRT1 and p53 exert powerful and often opposing influences in multiple overlapping processes, and therefore, the SIRT1-p53 relationship may represent a key node in the common biology of cancer, metabolism, development and ageing [31] [33].
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