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Theoretical and computational methods to reverse engineer signaling networks have been developed using genome-wide proteomic, expression, and deletion data, and these techniques employ Boolean methods, mutual information, Bayesian inference, regulation matrix methods based on differential equations, and machine learning approaches (reviewed in [19], [20]).
With the results of the differential expression analysis, a "regulation matrix" was created.
To further understand regulatory relationships between transcription factors and the genes involved in C9 and C10 response, a regulation matrix was generated by YEASTRACT (http://www.yeastract.com/) [ 33].
We obtained a binary regulation matrix of transcription factors and H2H genes after completing the above analysis (see Additional file 4).
Metastatic carcinomas had a significant up-regulation of genes associated with cell cycle regulation, matrix modulation, protein folding and proteasomal degradation whereas cell differentiation genes, growth factor pathway genes and regulators of actin organization were significantly down-regulated.
In this regard, the expression of genes that are targets for regulation by Nupr1 has been implicated in key protumorigenic pathways, including cell cycle regulation, matrix remodeling, autophagy, cell cannibalism and apoptosis inhibition.
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Moreover, the analysis of the ANT3 promoter region by the Genomatix MatInspector and PromoterInspector tools proposed few regulation matrices as compared to genes of the three other regulated isoforms (result not shown).
In the likely case, that among the 20 co-regulated genes obtained from the SPELL database for a single hit genes showed up that were not in the hit list, a non-hit was included in the co-regulation matrix and if this non-hit was found co-regulated more often these co-regulated non-hits could obtain high levels of connectivity within our network.
A pairwise co-regulation matrix was built including the information from all the hits.
To test the significance of our network we picked those non-hit genes from our co-regulation matrix, which are best connected within the network and considered them to be part of the clusters in our network.
One well-studied mechanism for the enhancement of outflow by prostaglandins is the regulation of matrix metalloproteinases and remodeling of extracellular matrix.
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