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Hyperpolarized-activated and cyclic nucleotide-gated (HCN) channels are the only members of the voltage-gated ion channel superfamily in mammals that open upon hyperpolar-ization, conferring them pacemaker properties that are instrumental for rhythmic firing of cardiac and neuronal cells. Activation of their voltage-sensor domains (VSD) upon hyperpolarization occurs through a downward movement of the S4 helix bearing the gating charges, which triggers a break in the alpha-helical hydrogen bonding pattern at the level of a conserved Serine residue. Previous structural and molecular simulation studies had however failed to capture pore opening that should be triggered by VSD activation, presumably because of a low VSD/pore electrome-chanical coupling efficiency and the limited timescales accessible to such techniques. Here, we have used advanced modeling strategies, including enhanced sampling molecular dynamics simulations exploiting comparisons between non-domain swapped voltage-gated ion channel structures trapped in closed and open states to trigger pore gating and characterize electromechanical coupling in HCN1. We propose that the coupling mechanism involves the reorganization of the interfaces between the VSD helices, in particular S4, and the pore-forming helices S5 and S6, subtly shifting the balance between hydrophobic and hydrophilic interactions in a ‘domino effect’ during activation and gating in this region. Remarkably, our simulations reveal state-dependent occupancy of lipid molecules at this emergent coupling interface, suggesting a key role of lipids in hyperpolarization-dependent gating. Our model provides a rationale for previous observa-tions and a possible mechanism for regulation of HCN channels by the lipidic components of the membrane., QC 20231122

Metabolite-level regulation of enzyme activity is important for microbes to cope with environmental shifts. Knowledge of such regulations can also guide strain engineering to improve industrial phenotypes. Recently developed chemoproteomics workflows allow for genome-wide detection of metabolite-protein interactions that may regulate pathway activity. We applied limited proteolysis small molecule mapping (LiP-SMap) to identify and compare metabolite-protein interactions in the proteomes of two cyanobacteria and two lithoautotrophic bacteria that fix CO2 using the Calvin cycle. Clustering analysis of the hundreds of detected interactions showed that some metabolites interacted in a species-specific manner, such as interactions of glucose-6-phosphate in Cupriavidus necator and of glyoxylate in Synechocystis sp PCC 6803. These are interpreted in light of the different central carbon conversion pathways present. Metabolites interacting with the Calvin cycle enzymes fructose-1,6/sedoheptulose-1,7-bisphosphatase (F/SBPase) and transketolase were tested for effects on catalytic activity in vitro. The Calvin cycle intermediate glyceraldehyde-3-phosphate activated both Synechocystis and Cupriavidus F/SBPase, which suggests a feed-forward activation of the cycle in both photoautotrophs and chemolithoautotrophs. In contrast to the stimulating effect in reduced conditions, glyceraldehyde-3-phosphate inactivated the Synechocystis F/SBPase in oxidized conditions by accelerating protein aggregation. Thus, metabolite-level regulation of the Calvin cycle is more prevalent than previously appreciated and may act in addition to redox regulation., Not duplicate with DiVA 1608437QC 20230307

QC 20210426

Metabolite-level regulation of enzyme activity is important for coping with environmental shifts. Recently developed proteomics methodologies allow for mapping of post-translational interactions, including metabolite-protein interactions, that may be relevant for quickly regulating pathway activity. While feedback and feedforward regulation in glycolysis has been investigated, there is relatively little study of metabolite-level regulation in the Calvin cycle, particularly in bacteria. Here, we applied limited proteolysis small molecule mapping (LiP-SMap) to identify metabolite-protein interactions in four Calvin-cycle harboring bacteria, including two cyanobacteria and two chemolithoautotrophs. We identified widespread protein interactions with the metabolites GAP, ATP, and AcCoA in all strains. Some species-specific interactions were also observed, such as sugar phosphates in Cupravidus necator and glyoxylate in Synechocystis sp. PCC 6803. We screened some metabolites with LiP interactions for their effects on kinetics of the enzymes F/SBPase and transketolase, two enzymatic steps of the Calvin cycle. For both Synechocystis and Cupriavidus F/SBPase, GAP showed an activating effect that may be part of feed-forward regulation in the Calvin cycle. While we verified multiple enzyme inhibitors on transketolase, the effect on kinetics was often small. Incorporation of F/SBPase and transketolase regulations into a kinetic metabolic model of Synechocystis central metabolism resulted in a general decreased stability of the network, and altered flux control coefficients of transketolase as well as other reactions. The LiP-SMap methodology is promising for uncovering new modes of metabolic regulation, but will benefit from improved peptide quantification and higher peptide coverage of enzymes, as known interactions are often not detected for low-coverage proteins. . Furthermore, not all LiP interactions appear to be relevant for catalysis, as 4/8 (transketolase) and 5/6 (F/S, QC 20211117

QC 20211125

Metabolite-level regulation of enzyme activity is important for coping with environmental shifts. Recently developed proteomics methodologies allow for mapping of post-translational interactions, including metabolite-protein interactions, that may be relevant for quickly regulating pathway activity. While feedback and feedforward regulation in glycolysis has been investigated, there is relatively little study of metabolite-level regulation in the Calvin cycle, particularly in bacteria. Here, we applied limited proteolysis small molecule mapping (LiP-SMap) to identify metabolite-protein interactions in four Calvin-cycle harboring bacteria, including two cyanobacteria and two chemolithoautotrophs. We identified widespread protein interactions with the metabolites GAP, ATP, and AcCoA in all strains. Some species-specific interactions were also observed, such as sugar phosphates in Cupravidus necator and glyoxylate in Synechocystis sp. PCC 6803. We screened some metabolites with LiP interactions for their effects on kinetics of the enzymes F/SBPase and transketolase, two enzymatic steps of the Calvin cycle. For both Synechocystis and Cupriavidus F/SBPase, GAP showed an activating effect that may be part of feed-forward regulation in the Calvin cycle. While we verified multiple enzyme inhibitors on transketolase, the effect on kinetics was often small. Incorporation of F/SBPase and transketolase regulations into a kinetic metabolic model of Synechocystis central metabolism resulted in a general decreased stability of the network, and altered flux control coefficients of transketolase as well as other reactions. The LiP-SMap methodology is promising for uncovering new modes of metabolic regulation, but will benefit from improved peptide quantification and higher peptide coverage of enzymes, as known interactions are often not detected for low-coverage proteins. . Furthermore, not all LiP interactions appear to be relevant for catalysis, as 4/8 (transketolase) and 5/6 (F/S, QC 20211117

Metabolite-level regulation of enzyme activity is important for coping with environmental shifts. Recently developed proteomics methodologies allow for mapping of post-translational interactions, including metabolite-protein interactions, that may be relevant for quickly regulating pathway activity. While feedback and feedforward regulation in glycolysis has been investigated, there is relatively little study of metabolite-level regulation in the Calvin cycle, particularly in bacteria. Here, we applied limited proteolysis small molecule mapping (LiP-SMap) to identify metabolite-protein interactions in four Calvin-cycle harboring bacteria, including two cyanobacteria and two chemolithoautotrophs. We identified widespread protein interactions with the metabolites GAP, ATP, and AcCoA in all strains. Some species-specific interactions were also observed, such as sugar phosphates in Cupravidus necator and glyoxylate in Synechocystis sp. PCC 6803. We screened some metabolites with LiP interactions for their effects on kinetics of the enzymes F/SBPase and transketolase, two enzymatic steps of the Calvin cycle. For both Synechocystis and Cupriavidus F/SBPase, GAP showed an activating effect that may be part of feed-forward regulation in the Calvin cycle. While we verified multiple enzyme inhibitors on transketolase, the effect on kinetics was often small. Incorporation of F/SBPase and transketolase regulations into a kinetic metabolic model of Synechocystis central metabolism resulted in a general decreased stability of the network, and altered flux control coefficients of transketolase as well as other reactions. The LiP-SMap methodology is promising for uncovering new modes of metabolic regulation, but will benefit from improved peptide quantification and higher peptide coverage of enzymes, as known interactions are often not detected for low-coverage proteins. . Furthermore, not all LiP interactions appear to be relevant for catalysis, as 4/8 (transketolase) and 5/6 (F/S, QC 20211117

Metabolite-level regulation of enzyme activity is important for coping with environmental shifts. Recently developed proteomics methodologies allow for mapping of post-translational interactions, including metabolite-protein interactions, that may be relevant for quickly regulating pathway activity. While feedback and feedforward regulation in glycolysis has been investigated, there is relatively little study of metabolite-level regulation in the Calvin cycle, particularly in bacteria. Here, we applied limited proteolysis small molecule mapping (LiP-SMap) to identify metabolite-protein interactions in four Calvin-cycle harboring bacteria, including two cyanobacteria and two chemolithoautotrophs. We identified widespread protein interactions with the metabolites GAP, ATP, and AcCoA in all strains. Some species-specific interactions were also observed, such as sugar phosphates in Cupravidus necator and glyoxylate in Synechocystis sp. PCC 6803. We screened some metabolites with LiP interactions for their effects on kinetics of the enzymes F/SBPase and transketolase, two enzymatic steps of the Calvin cycle. For both Synechocystis and Cupriavidus F/SBPase, GAP showed an activating effect that may be part of feed-forward regulation in the Calvin cycle. While we verified multiple enzyme inhibitors on transketolase, the effect on kinetics was often small. Incorporation of F/SBPase and transketolase regulations into a kinetic metabolic model of Synechocystis central metabolism resulted in a general decreased stability of the network, and altered flux control coefficients of transketolase as well as other reactions. The LiP-SMap methodology is promising for uncovering new modes of metabolic regulation, but will benefit from improved peptide quantification and higher peptide coverage of enzymes, as known interactions are often not detected for low-coverage proteins. . Furthermore, not all LiP interactions appear to be relevant for catalysis, as 4/8 (transketolase) and 5/6 (F/S, QC 20211117

Metabolite-level regulation of enzyme activity is important for coping with environmental shifts. Recently developed proteomics methodologies allow for mapping of post-translational interactions, including metabolite-protein interactions, that may be relevant for quickly regulating pathway activity. While feedback and feedforward regulation in glycolysis has been investigated, there is relatively little study of metabolite-level regulation in the Calvin cycle, particularly in bacteria. Here, we applied limited proteolysis small molecule mapping (LiP-SMap) to identify metabolite-protein interactions in four Calvin-cycle harboring bacteria, including two cyanobacteria and two chemolithoautotrophs. We identified widespread protein interactions with the metabolites GAP, ATP, and AcCoA in all strains. Some species-specific interactions were also observed, such as sugar phosphates in Cupravidus necator and glyoxylate in Synechocystis sp. PCC 6803. We screened some metabolites with LiP interactions for their effects on kinetics of the enzymes F/SBPase and transketolase, two enzymatic steps of the Calvin cycle. For both Synechocystis and Cupriavidus F/SBPase, GAP showed an activating effect that may be part of feed-forward regulation in the Calvin cycle. While we verified multiple enzyme inhibitors on transketolase, the effect on kinetics was often small. Incorporation of F/SBPase and transketolase regulations into a kinetic metabolic model of Synechocystis central metabolism resulted in a general decreased stability of the network, and altered flux control coefficients of transketolase as well as other reactions. The LiP-SMap methodology is promising for uncovering new modes of metabolic regulation, but will benefit from improved peptide quantification and higher peptide coverage of enzymes, as known interactions are often not detected for low-coverage proteins. . Furthermore, not all LiP interactions appear to be relevant for catalysis, as 4/8 (transketolase) and 5/6 (F/S, QC 20211117