Search bioRxiv⌕ Search

bioRxiv · 10.1101/2023.02.07.527434

The structural basis of the EPCR-APC complex induced biased PAR1 signaling.

Abstract

Activated Protein C (APC) is an effector enzyme of the natural anticoagulant pathway. In addition to its anticoagulant function, endothelial protein C receptor (EPCR)-bound APC induces biased protease-activated receptor type 1 (PAR1)-mediated signaling. Despite intensive investigation, the mechanism of biased signaling is not completely clear. To gain new insights into APC-induced PAR1-biased signaling we reviewed the published data and created three- dimensional models of the proteins and their complexes involved in the early stages of PAR1 signaling. A comparative study of models related to canonical and biased signaling demonstrated that interactions between APC, EPCR, PAR1, and Caveolin-1 (Cav1) can provide plausible explanations for the differences between the two types of PAR1 signaling. The model suggests that the interaction of the PAR1 peptide 22-ARTRARRPESK-32 with 162-helix of APC positions the PAR1 N-terminus for the preferential cleavage at R46. By contrast, the hirudin-like sequence of PAR1 is involved in the positioning of the N-terminus of PAR1 for cleavage at R41 by thrombin in canonical signaling. The model and molecular dynamics (MD) simulations of the tethered ligand (TL) interaction with APC suggest that the TL facilitates direct interaction of the EPCR transmembrane (TM) domain with the PAR1 TM helices 6 and 7 by transient binding to the light chain of APC and keeping EPCR-APC in close proximity to PAR1. The biased signaling paradigm considers the ligand-induced conformational changes in PAR1 as solely being responsible for the biased signaling. Our models suggest that Cav1, EPCR, and PAR1 interactions can provide a selective advantage to biased signaling over canonical signaling. First, the complex comprised of caveolin-1 oligomer-EPCR-APC-PAR1 positions EPCR-APC and PAR1 at a distance favorable for PAR1 activation. Second, the Cav1 presence favors selectivity for the PAR1 bound {beta}-arrestin-2, not the PAR1-bound G protein alpha (G) subunit. The potential reason for {beta}-arrestin-2 selectivity includes G binding to the Cav1 and its immobilization resulting in the inability of PAR1-bound G to periodically interact with the plasma membrane required for its function. MD simulations of the PAR1-EPCR-{beta}-arrestin-2 complex demonstrated that one of the mechanisms of the APC-induced PAR1-biased signaling is the interaction of the EPCR TM domain with the PAR1-bound {beta}-arrestin-2, leading to the stabilization of the PAR1-{beta}- arrestin-2 complex and activation of {beta}-arrestin-2. Thus, models suggest that Cav1 and EPCR- APC mediated interactions provide a selective advantage for the {beta}-arrestin-2 dependent biased signaling, not the G proteins mediated canonical signaling by the PAR1 receptor. Author summaryThe APC-biased PAR1 signaling in endothelial cells results in the barrier protection response while thrombin-induced PAR1 canonical signaling results in a pro- inflammatory response with endothelial barrier dysfunction. It has been demonstrated that caveolar localization and occupancy of the EPCR are required for APC-biased signaling, however, the molecular mechanism remained incompletely clear. Computational modeling of the structure of the signaling complex and its molecular dynamics simulations allowed us to propose plausible mechanistic explanations for the requirement of caveolin 1 for biased signaling. The models that assume direct binding of transmembrane domains of EPCR and PAR1 in the signaling complex allowed us to gain new insights into APC-biased PAR1 signaling and better understand the requirement of EPCR occupancy for biased signaling.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Iakhiaev, A.. 2023-02-07. The structural basis of the EPCR-APC complex induced biased PAR1 signaling.. https://doi.org/10.1101/2023.02.07.527434

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Scaling of structural variability of ecDNA polymer condensates with copy number boosts and stabilises oncogene regulatory contacts

Extrachromosomal DNAs (ecDNAs) form highly heterogeneous condensates in cancer cells that drive oncogene overexpression, yet how structural variability coexists with stable gene regulation remains unclear. Here, we develop a minimal polymer physics model of MYC-harbouring COLO320-DM ecDNAs, where BRD4-like complexes bind and bridge cognate sites along ecDNA rings. Above a critical binder concentration, ecDNAs phase separate into condensates exhibiting diverse conformations because of their thermodynamic folding degeneracy. Despite this variability, condensates retain conserved interaction scaffolds that give rise to reproducible contact patterns, including in-trans associated domains (I-TADs), genomic regions enriched in intermolecular regulatory contacts between distinct ecDNAs. We find that condensate 3D architecture follows universal scaling relations with ecDNA copy number, n, remaining robust to model parameter changes. Regulatory contacts within I TADs increase linearly with n, yet they are one order of magnitude stronger than in size matched control regions outside I TADs, whereas their relative fluctuations are markedly suppressed as n increases. This scaling produces enhanced, low-noise regulatory environments for oncogenes embedded within I-TADs, such as PVT1-MYC fusions, whereas the canonical MYC copy, located outside, is less amplified as experimentally observed. Our findings reveal universal polymer physics principles underlying ecDNA condensate organization, offering a mechanistic basis for selective oncogene amplification and potential advantages in cancer progression.

biophysics↗

High-resolution mapping of RNA structural maturation during Cas9 assembly with ABEL-FRET

The structural flexibility of RNA is essential for forming ribonucleoprotein (RNP) complexes, which regulate diverse biological processes. This intrinsic property permits RNA to act as a dynamic scaffold along the assembly pathway as it folds into a specific structure for initial recognition by protein and undergoes conformational rearrangements for functional maturation as a complex. Yet, RNA flexibility and RNP multicomponent assembly create significant obstacles for traditional structural methods. To overcome these challenges, we applied recently developed ABEL-FRET spectroscopy to measure tether-free single-molecule Forster resonance energy transfer (smFRET) over extended observation times. Furthermore, ABEL-FRET enables the unique ability for simultaneous measurements of ultrahigh resolution smFRET and hydrodynamic size of individual complexes, which offers distinct advantages for studying dynamic RNA molecules that undergo assembly via sequential binding events. Using ABEL-FRET, we explored how the guide RNA (gRNA) of CRISPR genome editing system folds and modulates its structural flexibility to carry out the roles required for each assembly state from its unbound apo form to the functional Cas9 RNP state for target DNA cleavage. Multi-perspective view of gRNA structure gained by probing its two primary functional domains enabled to capture dramatic changes in gRNA flexibility that are highly dependent on its specific structural domains as well as assembly states. Collectively, our work with ABEL-FRET highlights the intrinsic link between the structural flexibility of RNA and its functionality in RNP assembly.

biophysics↗

De novo design of functional RNAs through higher-order interactions

Designing RNA sequences that reliably adopt functional three-dimensional structures remains a central challenge in RNA engineering because folding depends on cooperative interactions beyond canonical base pairing. Here we present DS3dRNA, an interaction-based framework for de novo RNA sequence design that combines a three-body statistical potential with physics-guided sequence sampling and supports design against multiple conformations. Across the evaluated benchmarks, DS3dRNA outperformed representative RNA inverse-design methods in native-sequence recovery and agreement between predicted and target structures. Energy-sequence-quality analyses further showed that lower design energies generally accompanied higher sequence recovery and macro-averaged F1 scores (MacroF1). Experimentally tested Mango II designs retained high-affinity fluorogenic activity, and five twister ribozyme designs yielded mean endpoint cleavage fractions of 37.7-50.6%, compared with 23.5% for the wild type. These results establish explicit higher-order interaction scoring as a complementary approach to emerging data-driven RNA design methods and provide a framework for designing functional RNAs from experimental or predicted structural ensembles.

biophysics↗