Signal Flow Control Research Articles

Synthetic Control of Signal Flow Within a Bacterial Multi-Kinase Network.

The signal processing capabilities of bacterial signaling networks offer immense potential for advanced phospho-signaling systems for synthetic biology. Emerging models suggest that complex development may require interconnections between what were once thought to be isolated signaling arrays. For example, Caulobacter crescentus achieves the feat of asymmetric division by utilizing a novel pseudokinase DivL, which senses the output of one signaling pathway to modulate a second pathway. It has been proposed that DivL reverses signal flow by exploiting conserved kinase conformational changes and protein-protein interactions. We engineered a series of DivL-based modulators to synthetically stimulate reverse signaling of the network in vivo. Stimulation of conformational changes through the DivL signal transmission helix resulted in changes to hallmark features of the network: C. crescentus motility and DivL accumulation at the cell poles. Additionally, mutations to a conserved PAS sensor transmission motif disrupted reverse signaling flow in vivo. We propose that synthetic stimulation and sensor disruption provide strategies to define signaling circuit organization principles for the rational design and validation of synthetic pathways.

Signal flow control of complex signaling networks

Complex disease such as cancer is often caused by genetic mutations that eventually alter the signal flow in the intra-cellular signaling network and result in different cell fate. Therefore, it is crucial to identify control targets that can most effectively block such unwanted signal flow. For this purpose, systems biological analysis provides a useful framework, but mathematical modeling of complicated signaling networks requires massive time-series measurements of signaling protein activity levels for accurate estimation of kinetic parameter values or regulatory logics. Here, we present a novel method, called SFC (Signal Flow Control), for identifying control targets without the information of kinetic parameter values or regulatory logics. Our method requires only the structural information of a signaling network and is based on the topological estimation of signal flow through the network. SFC will be particularly useful for a large-scale signaling network to which parameter estimation or inference of regulatory logics is no longer applicable in practice. The identified control targets have significant implication in drug development as they can be putative drug targets.

PHD3-dependent hydroxylation of HCLK2 promotes the DNA damage response

The DNA damage response (DDR) is a complex regulatory network that is critical for maintaining genome integrity. Posttranslational modifications are widely used to ensure strict spatiotemporal control of signal flow, but how the DDR responds to environmental cues, such as changes in ambient oxygen tension, remains poorly understood. We found that an essential component of the ATR/CHK1 signaling pathway, the human homolog of the Caenorhabditis elegans biological clock protein CLK-2 (HCLK2), associated with and was hydroxylated by prolyl hydroxylase domain protein 3 (PHD3). HCLK2 hydroxylation was necessary for its interaction with ATR and the subsequent activation of ATR/CHK1/p53. Inhibiting PHD3, either with the pan-hydroxylase inhibitor dimethyloxaloylglycine (DMOG) or through hypoxia, prevented activation of the ATR/CHK1/p53 pathway and decreased apoptosis induced by DNA damage. Consistent with these observations, we found that mice lacking PHD3 were resistant to the effects of ionizing radiation and had decreased thymic apoptosis, a biomarker of genomic integrity. Our identification of HCLK2 as a substrate of PHD3 reveals the mechanism through which hypoxia inhibits the DDR, suggesting hydroxylation of HCLK2 is a potential therapeutic target for regulating the ATR/CHK1/p53 pathway.

Design of Master Platform of Half-Practicality Maintenance Training System Based on Bus-Mastering

Aming at some shortcomings of maintenance training on actual equipments, it developed half-practicality maintenance training system based on bus-mastering. Among the system, hardware sub-system and control software sub-system design and development of the master platform are key. Basic functions demand was analyzed, on the basis of which main technology indexes was designed. Control software sub-system was designed to include such four parts as control and demonstration, training check and evaluation, comprehensive training, signal flow control and display. Process design of each module of the four parts was implemented. This is significant to innovating equipments maintenance training manners and methods based on virtual reality and bus-mastering technology, and is significant to improving training effectiveness.