SUMMARY K-Ras is targeted to the plasma membrane by a C-terminal membrane anchor that comprises a farnesyl-cysteine-methyl-ester and a polybasic domain. We used quantitative spatial imaging and atomistic molecular dynamics simulations to examine molecular details of K-Ras plasma membrane binding. We found that the K-Ras anchor binds selected plasma membrane anionic lipids with defined head groups and lipid side chains. The precise amino acid sequence and prenyl group define a combinatorial code for lipid binding that extends beyond simple electrostatics; within this code lysine and arginine residues are non-equivalent and prenyl chain length modifies nascent polybasic domain lipid preferences. The code is realized by distinct dynamic tertiary structures of the anchor on the plasma membrane that govern amino acid side-chain-lipid interactions. An important consequence of this specificity is the ability of such anchors when aggregated to sort subsets of phospholipids into nanoclusters with defined lipid compositions that determine K-Ras signaling output.
Eukaryotic plasma membranes are compartmentalized into functional lateral domains, including lipid-driven membrane rafts. Rafts are involved in most plasma membrane functions by selective recruitment and retention of specific proteins. However, the structural determinants of transmembrane protein partitioning to raft domains are not fully understood. Hypothesizing that protein transmembrane domains (TMDs) determine raft association, here we directly quantify raft affinity for dozens of TMDs. We identify three physical features that independently affect raft partitioning, namely TMD surface area, length, and palmitoylation. We rationalize these findings into a mechanistic, physical model that predicts raft affinity from the protein sequence. Application of these concepts to the human proteome reveals that plasma membrane proteins have higher raft affinity than those of intracellular membranes, consistent with raft-mediated plasma membrane sorting. Overall, our experimental observations and physical model establish general rules for raft partitioning of TMDs and support the central role of rafts in membrane traffic.
Ras proteins regulate signal transduction processes that control cell growth and proliferation. Their disregulation is a common cause of human tumors. Atomic level structural and dynamical information in a membrane environment is crucial for understanding signaling specificity among Ras isoforms and for the design of selective anti-cancer agents. Here, the structure of the full-length H-Ras protein in complex with a 1,2-dimyristoylglycero-3-phosphocholine (DMPC) bilayer obtained from modeling and all-atom explicit solvent molecular dynamics simulations, as well as experimental validation of the main results, are presented. We find that, in addition to the lipid anchor, H-Ras membrane binding involves direct interaction of residues in the catalytic domain with DMPC phosphates. Two modes of binding (possibly modulated by GTP/GDP exchange) differing in the orientation and bilayer contact of the soluble domain as well as in the participation of the flexible linker in membrane binding are proposed. These results are supported by our initial in vivo experiments. The overall structures of the protein and the bilayer remain similar to those of the isolated components, with few localized structural and dynamical changes. The implications of the results to membrane lateral segregation and other aspects of Ras signaling are discussed.
Ras GTPases are conformational switches controlling cell proliferation, differentiation, and development. Despite their prominent role in many forms of cancer, the mechanism of conformational transition between inactive GDP-bound and active GTP-bound states remains unclear. Here we describe a detailed analysis of available experimental structures and molecular dynamics simulations to quantitatively assess the structural and dynamical features of active and inactive states and their interconversion. We demonstrate that GTP-bound and nucleotide-free G12V H-ras sample a wide region of conformational space, and show that the inactive-to-active transition is a multiphase process defined by the relative rearrangement of the two switches and the orientation of Tyr32. We also modeled and simulated N- and K-ras proteins and found that K-ras is more flexible than N- and H-ras. We identified a number of isoform-specific, long-range side chain interactions that define unique pathways of communication between the nucleotide binding site and the C terminus.
The plasma membrane nanoscale distribution of H-ras is regulated by guanine nucleotide binding. To explore the structural basis of H-ras membrane organization, we combined molecular dynamic simulations and mediumthroughput FRET measurements on live cells. We extracted a set of FRET values, termed a FRET vector, to describe the lateral segregation and orientation of H-ras with respect to a large set of nanodomain markers. We show that mutation of basic residues in helix a4 or the hypervariable region (HVR) selectively alter the FRET vectors of GTP-or GDP-loaded H-ras, demonstrating a critical role for these residues in stabilizing GTP-or GDP-H-ras interactions with the plasma membrane. By a similar analysis, we find that the b2-b3 loop and helix a5 are involved in a novel conformational switch that operates through helix a4 and the HVR to reorient the H-ras G-domain with respect to the plasma membrane. Perturbation of these switch elements enhances MAPK activation by stabilizing GTP-H-ras in a more productive signalling conformation. The results illustrate how the plasma membrane spatially constrains signalling conformations by acting as a semi-neutral interaction partner.
The structural elements encoding functional diversity among Ras GTPases are poorly defined. The orientation of the G domain of H-ras with respect to the plane of the plasma membrane is recognized by the Ras binding domain of C-Raf, coupling orientation to MAPK activation. We now show that two other proteins, phosphoinositide-3-kinase-α and the structurally unrelated galectin-1, also recognize G-domain orientation. These results rationalize the role of galectin-1 in generating active GTP-H-ras signaling nanoclusters. However, molecular dynamics simulations of K-ras membrane insertion and fluorescence lifetime imaging microscopy (FLIM)-Förster resonance energy transfer (FRET) imaging of the effector interactions of NRas, K-Ras, and M-ras suggest that there are two hyperactive, signaling-competent orientations of the Ras G domain. Mutational and functional analyses establish a clear relationship between effector binding and the amphilicities of helix α4 and the C-terminal hypervariable region, thus confirming that these structural elements critically tune the orientation of the Ras G domain. Finally, we show that G-domain orientation and nanoclustering synergize to generate Ras isoform specificity with respect to effector interactions.FRET | nanocluster | signal transduction | small G protein
Recent experiments have shown that membrane-bound Ras proteins form transient, nanoscale signaling platforms that play a crucial role in high-fidelity signal transmission. However, a detailed characterization of these dynamic proteolipid substructures by high-resolution experimental techniques remains elusive. Here we use extensive semiatomic simulations to reveal the molecular basis for the formation and domain-specific distribution of Ras nanoclusters. As model systems, we chose the triply lipidated membrane targeting motif of H-ras (tH) and a large bilayer made up of di16∶0-PC (DPPC), di18∶2-PC (DLiPC), and cholesterol. We found that 4-10 tH molecules assemble into clusters that undergo molecular exchange in the sub-μs to μs time scale, depending on the simulation temperature and hence the stability of lipid domains. Driven by the opposite preference of tH palmitoyls and farnesyl for ordered and disordered membrane domains, clustered tH molecules segregate to the boundary of lipid domains. Additionally, a systematic analysis of depalmitoylated and defarnesylated tH variants allowed us to decipher the role of individual lipid modifications in domain-specific nanocluster localization and thereby explain why homologous Ras isoforms form nonoverlapping nanoclusters. Moreover, the localization of tH nanoclusters at domain boundaries resulted in a significantly lower line tension and increased membrane curvature. Taken together, these results provide a unique mechanistic insight into how protein assembly promoted by lipid-modification modulates bilayer shape to generate functional signaling platforms.lipid bilayer | lipidated Ras proteins | nanoclusters/nanodomains | plasma membrane | molecular dynamics simulation
K-Ras is a membrane-associated GTPase that cycles between active and inactive conformational states to regulate a variety of cell signaling pathways. Somatic mutations in K-Ras are linked to 15-20% of all human tumors. K-Ras attaches to the inner leaflet of the plasma membrane via a farnesylated polybasic domain; however, the structural details of the complex remain poorly understood. Based on extensive (7.5 μs total) atomistic molecular dynamics simulations here we show that oncogenic mutant K-Ras interacts with a negatively charged lipid bilayer membrane in multiple orientations. Of these, two highly populated orientations account for ∼54% of the conformers whose catalytic domain directly interacts with the bilayer. In one of these orientation states, membrane binding involves helices 3 and 4 of the catalytic domain in addition to the farnesyl and polybasic motifs. In the other orientation, β-strands 1-3 and helix 2 on the opposite face of the catalytic domain contribute to membrane binding. Flexibility of the linker region was found to be important for the reorientation. The biological significance of these observations was evaluated by initial experiments in cells overexpressing mutant K-Ras as well as by an analysis of Ras-effector complex structures. The results suggest that only one of the two major orientation states is capable of effector binding. We propose that the different modes of membrane binding may be exploited in structure-based drug design efforts for cancer therapy.
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