By Mark Buchanan, Guido Caldarelli, Paolo De Los Rios

ISBN-10: 0521882737

ISBN-13: 9780521882736

The technological know-how of complicated organic networks is reworking study in components starting from evolutionary biology to drugs. this is often the 1st publication at the topic, supplying a accomplished advent to advanced community technological know-how and its organic purposes. With contributions from key leaders in either community conception and glossy cellphone biology, this booklet discusses the community technology that's more and more foundational for platforms biology and the quantitative knowing of residing structures. It surveys reviews within the quantitative constitution and dynamics of genetic regulatory networks, molecular networks underlying mobile metabolism, and different basic organic techniques. The publication balances empirical stories and concept to provide a unified evaluation of this interdisciplinary technological know-how. it's a key introductory textual content for graduate scholars and researchers in physics, biology and biochemistry, and offers principles and methods from fields outdoor the reader's personal sector of specialization.

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It has also been observed that the TFs in the middle of this hierarchy (often from the levels 2 and 3 measured from the bottom) regulate more direct targets than those at the top suggesting that these middle level TFs act as managers and are indeed bottlenecks for cellular transcriptional response [680]. Based on our knowledge of protein interaction networks, one would expect that TFs at the higher levels of this hierarchy are more likely to be important for the survival of the cell [292]. However, surprisingly, it has been found that the TFs at the bottom level are more likely to be lethal and hence essential to the viability of the cell [680].

Importantly, the authors found that most hubs are transient and their expression is not maintained between conditions. Only a small percentage of hubs were found to maintain a high out-degree in all conditions. However, even these hubs that maintained their high out-degree across conditions were found to switch their targets between conditions. As a result of extensive rewiring, the same TFs can be used in different conditions to regulate the expression of various sets of genes and to elicit a condition-dependent response, which implies that the response of the cell is commonly a result of combinatorial TF usage.

Therefore, 28 Sarath Chandra Janga and M. 3. e. evolve faster) than target genes Local structure Network motifs did not evolve by duplication of ancestral circuits, but via convergent evolution Network motifs are not conserved as rigid units. However, organisms with similar lifestyle tend to conserve similar network motifs Global structure Transcriptional hubs did not evolve as a consequence of duplication of target gene followed by inheritance of regulatory interactions, but via independent gain of new interactions Condition specific transcriptional hubs may be lost or replaced in evolution.

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Networks in Cell Biology by Mark Buchanan, Guido Caldarelli, Paolo De Los Rios


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