Search bioRxiv⌕ Search

bioRxiv · 10.1101/2020.06.19.161752

SNARE Complex Alters the Interactions of the Ca2+ sensor Synaptotagmin 1 with Lipid Bilayers

Abstract

Release of neuronal transmitters from nerve terminals is triggered by the molecular Ca2+ sensor Synaptotagmin 1 (Syt1). Syt1 is a transmembrane protein attached to the synaptic vesicle (SV), and its cytosolic region comprises two domains, C2A and C2B, which are thought to penetrate into lipid bilayers upon Ca2+ binding. Prior to fusion, SVs become attached to the presynaptic membrane (PM) by the four-helical SNARE complex, which binds the C2B domain of Syt1. To understand how the interactions of Syt1 with lipid bilayers and the SNARE complex trigger fusion, we performed molecular dynamics (MD) simulations at a microsecond scale. The MD simulations showed that the C2AB tandem of Syt1 can either bridge SV and PM or immerse into PM, and that the latter configuration is more favorable energetically. Surprisingly, C2 domains did not cooperate in penetrating into PM, but instead mutually hindered the lipid penetration. To test whether the interaction of Syt1 with lipid bilayers could be affected by the C2B-SNARE attachment, we performed systematic conformational analysis of the Syt1-SNARE complex. Notably, we found that the C2B-SNARE interface precludes the coupling of C2 domains of Syt1 and promotes the immersion of both domains into the PM bilayer. Subsequently, we simulated this pre-fusion protein complex between lipid bilayers imitating PM and SV and found that the immersion of Syt1 into the PM bilayer within this complex promotes PM curvature and leads to lipid merging. Altogether, our MD simulations elucidated the role of the Syt1-SNARE interactions in the fusion process and produced the dynamic all-atom model of the prefusion protein-lipid complex. Statement of SignificanceNeuronal transmitters are packed in synaptic vesicles (SVs) and released by fusion of SVs with the presynaptic membrane (PM). SVs are attached to PM by the SNARE protein complex, and fusion is triggered by the Ca2+ sensor Synaptotagmin 1 (Syt1). Although Syt1 and SNARE proteins have been extensively studied, it is not yet fully understood how the interactions of Syt1 with lipids and the SNARE complex induce fusion. To address this fundamental problem, we took advantage of Anton2 supercomputer, a unique computational environment, which enables simulating the dynamics of molecular systems at a scale of microseconds. Our simulations produced a dynamic all-atom model of the prefusion protein-lipid complex and demonstrated in silico how the Syt1-SNARE complex triggers fusion.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bykhovskaia, M.. 2020-06-20. SNARE Complex Alters the Interactions of the Ca2+ sensor Synaptotagmin 1 with Lipid Bilayers. https://doi.org/10.1101/2020.06.19.161752

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

KEEP EXPLORING

Related preprints

Nanomechanical phenotyping uncovers a non-canonical smooth muscle-like hypercontractility program in lung squamous cell carcinoma myofibroblasts

Myofibroblast-like cancer-associated fibroblasts (myCAFs) drive the stiff, tumor-promoting microenvironment, yet their mechanical phenotype in non-small cell lung cancer (NSCLC) remains undefined. myCAFs from major NSCLC subtypes (lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC)) were examined combining atomic force microscopy and traction force microscopy with molecular and signaling analyses. LUAD-myCAFs displayed canonical myofibroblast features, including elevated stiffness, traction forces, ROCK-MYPT1 signaling, and -SMA-rich stress fibers. Unexpectedly, LUSC-myCAFs amplified these nanomechanical features despite reduced ROCK-MYPT1 signaling and comparable -SMA levels. Instead, they exhibited a smooth muscle cell (SMC)-like contractile program characterized by enhanced SM-MHC(MYH11) expression colocalized with -SMA, ERK1/2-RLC hyperactivation, and DNA methylation reprogramming including SMC-contractility regulators. LUSC-myCAF hypercontractility was linked with reduced proliferative capacity and smaller intratumoral vessel lumens, consistent with the low CAF density and enhanced hypoxia patterns reported in LUSC. SMC markers were enriched and associated with adverse outcomes selectively in LUSC, highlighting the relevance of SMC-like myCAFs in LUSC progression. These findings unveil subtype-specific myCAF programs in NSCLC, and identify -SMA/SM-MHC(MYH11) myCAFs as key determinants of tumor mechanics, providing a rationale for the survival benefits of antihypertensive drugs targeting SMC hypercontractility. Moreover, they demonstrate that nanomechanical phenotyping can uncover translationally relevant myCAF phenotypes invisible to molecular profiling.

biophysics↗

Frequency-Dependent Structural Responses of Amyloid-β Fibrils to Terahertz Pulses: A Nonequilibrium Molecular Dynamics Study

The abnormal aggregation of amyloid proteins into fibrils is closely associated with several neurodegenerative diseases, highlighting the importance of developing effective strategies to modulate fibril structural stability. Here, we employed nonequilibrium molecular dynamics(NEMD) simulations to examine the effects of intense terahertz-to-mid-infrared pulses on three amyloid fibrils (2LMP, 2MXU, and 5OQV), focusing on the combined effects of pulse frequency and electric-field strength. Frequency scans from 0.5 to 60 THz in 0.5 THz steps revealed frequency-dependent losses of {beta}-sheet content, with several common response patterns in these fibrils. Comparisons at 2, 23, 33, and 50 THz showed that pulse-induced changes in secondary structure differed from those in high-temperature controls. Hydrogen-bond analysis showed that total hydrogen-bond counts could partially recover even as interchain hydrogen bonds continued to decrease, with distinct responses among representative chain pairs. We therefore propose a two-threshold electric-field framework for fibril disruption: Eth1 describes the onset of structural perturbation, whereas Eth2 indicates persistent structural loss after the pulse. This framework offers a testable approach for characterizing amyloid structural responses to external fields, although the underlying energy-coupling mechanisms, quantitative thresholds, and long-term recovery require further validation. These findings may provide a theoretical basis for exploring external-field-based strategies to modulate protein aggregation.

biophysics↗

Organised streaming of cerebrospinal fluid in the human third ventricle

Quasi-periodic pressure pulses associated with cardiac and respiratory activity generate reciprocating cerebrospinal fluid (CSF) motion in the human ventricles. Regular waves dominated by the cardiac cycle are overlaid with cycles of low-frequency respiratory waves, the latter to become stronger in forced breathing or even dominated by large successive flushes in NREM sleep. The present study investigates how such waves contribute to residual streaming within the human ventricles. Transient CFD simulations were performed in the third ventricle at varying parameters of frequency, stroke volume and wave-form asymmetry. Increasing the aqueduct peak Reynolds-number, either by small stroke volume and high frequency or large stroke volume at low frequency, transfers the flow from a reversible flow pattern to the formation of clear preferential pathways, alternating between the in- and outflow cycle. The resulting permanent streaming flux across the aqueduct relative to the mean oscillatory flow-rate, i.e. the dimensionless streaming ratio SR follows a rational saturation relation, SR [~] ReAq,peak/(C + ReAq,peak), demonstrating that increasing the peak aqueduct Reynolds number yields diminishing returns and bounds the relative contribution of residual inter-ventricular streaming. These findings demonstrate differences in hydrodynamic organisation in the third ventricle and highlight the importance of this organisation for intraventricular fluid exchange.

biophysics↗