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MEPSi: A tool for simulating tomograms of membrane-embedded proteins
Institution:1. Institut Pasteur, Université Paris Cité, CNRS UMR3528, Structural Studies of Macromolecular Machines in Cellulo Unit, Paris, France;2. Institut Pasteur, Université Paris Cité, CNRS UMR3528, Structural Image Analysis Unit, Paris, France;3. Scintillon Institute, San Diego, CA 92121, USA
Abstract:The throughput and fidelity of cryogenic cellular electron tomography (cryo-ET) is constantly increasing through advances in cryogenic electron microscope hardware, direct electron detection devices, and powerful image processing algorithms. However, the need for careful optimization of sample preparations and for access to expensive, high-end equipment, make cryo-ET a costly and time-consuming technique. Generally, only after the last step of the cryo-ET workflow, when reconstructed tomograms are available, it becomes clear whether the chosen imaging parameters were suitable for a specific type of sample in order to answer a specific biological question. Tools for a-priory assessment of the feasibility of samples to answer biological questions and how to optimize imaging parameters to do so would be a major advantage. Here we describe MEPSi (Membrane Embedded Protein Simulator), a simulation tool aimed at rapid and convenient evaluation and optimization of cryo-ET data acquisition parameters for studies of transmembrane proteins in their native environment. We demonstrate the utility of MEPSi by showing how to detangle the influence of different data collection parameters and different orientations in respect to tilt axis and electron beam for two examples: (1) simulated plasma membranes with embedded single-pass transmembrane αIIbβ3 integrin receptors and (2) simulated virus membranes with embedded SARS-CoV-2 spike proteins.
Keywords:Simulations  tomographic reconstruction  Image processing  Quality metrics  cryo-EM  Cryo-EM"}  {"#name":"keyword"  "$":{"id":"k0030"}  "$$":[{"#name":"text"  "_":"Cryogenic Electron Microscopy  Cryo-ET"}  {"#name":"keyword"  "$":{"id":"k0040"}  "$$":[{"#name":"text"  "_":"Cryogenic Electron Tomography  CTF"}  {"#name":"keyword"  "$":{"id":"k0050"}  "$$":[{"#name":"text"  "_":"Contrast Transfer Function  MEPSi"}  {"#name":"keyword"  "$":{"id":"k0060"}  "$$":[{"#name":"text"  "_":"Membrane Embedded Protein Simulator  MSE"}  {"#name":"keyword"  "$":{"id":"k0070"}  "$$":[{"#name":"text"  "_":"Mean-Square Error  MSSIM"}  {"#name":"keyword"  "$":{"id":"k0080"}  "$$":[{"#name":"text"  "_":"Mean Structural Similarity Index Measure  PSNR"}  {"#name":"keyword"  "$":{"id":"k0090"}  "$$":[{"#name":"text"  "_":"Peak Signal-to-Noise Ratio
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