Biology subjects

Xu, X.-P.

Publications and source records attributed to Xu, X.-P..

4 recordsLinked to original sources

bioRxiv2022

MEPSi: A tool for simulating tomograms of membrane-embedded proteins

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 IIb{beta}3 integrin receptors and (2) simulated virus membranes with embedded SARS-CoV-2 spike proteins. HIGHLIGHTSO_LITool to simulate tomograms of membrane-embedded proteins C_LIO_LIDetangles influence of data acquisition parameters from sample quality issues C_LIO_LIRapid evaluation and optimization of cryo-ET data acquisition parameters C_LIO_LIProof-of-concept provided with integrins and SARS-CoV-2 spike simulations C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=132 SRC="FIGDIR/small/501771v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@120b44eorg.highwire.dtl.DTLVardef@1d9056org.highwire.dtl.DTLVardef@ef327aorg.highwire.dtl.DTLVardef@1daf773_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2022

Characterization of heterogeneity in nanodisc samples using Feret signatures

Nanodiscs have become a popular tool in structure determination of membrane proteins using cryogenic electron microscopy and single particle analysis. However, the structure determination of small membrane proteins remains challenging. When the embedded protein is in the same size range as the nanodisc, the nanodisc can significantly contribute to the alignment and classification during the structure determination process. In those cases, it is crucial to minimize the heterogeneity in the nanodisc preparations to assure maximum accuracy in the classification and alignment steps of single particle analysis. Here, we introduce a new in-silico method for the characterization of nanodisc samples that is based on analyzing the Feret diameter distribution of their particle projection as imaged in the electron microscope. We validated the method with comprehensive simulation studies and show that Feret signatures can detect subtle differences in nanodisc morphologies and composition that might otherwise go unnoticed. We used the method to identify a specific biochemical nanodisc preparation with low size variations, allowing us to obtain a structure of the 23-kDa single-span membrane protein Bcl-xL while embedded in a nanodisc. Feret signature analysis can steer experimental data collection strategies, allowing more efficient use of high-end data collection hardware, as well as image analysis investments in studies where nanodiscs significantly contribute to the total volume of the full molecular species. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=88 SRC="FIGDIR/small/501900v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@19ea37aorg.highwire.dtl.DTLVardef@1fed1aeorg.highwire.dtl.DTLVardef@781962org.highwire.dtl.DTLVardef@ca7859_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTSO_LINew methodology to characterize nanodiscs based on Feret signatures C_LIO_LIFeret signatures distinguish nanodisc morphologies and compositions C_LIO_LIAnalysis is highly sensitive to sample quality C_LIO_LIMethod selected condition to solve structure of small membrane protein Bcl-xL C_LI

molecular biology↗

bioRxiv2022

The majority of microorganisms in gas hydrate bearing subseafloor sediments ferment macromolecules

BackgroundGas hydrate-bearing subseafloor sediments harbor a large number of microorganisms. Sedimentary organic matter and upward methane fluids represent two important sources of carbon and energy for deep biosphere. However, which metabolism dominates the deep subseafloor of gas hydrate zone is poorly constrained. Here we studied the microbial communities in gas-hydrate rich sediments up to 49 meters below seafloor recovered by drilling in the South China Sea. We focused on distinct geochemical conditions, and performed metagenomic and metatranscriptomic analyses to characterize microbial diversity and their role in carbon mineralization. ResultsComparative microbial community analysis revealed that samples above and in sulfate-methane interface (SMI) zones clearly distinguish from those below the SMI. Chloroflexota, are most abundant above the SMI, whereas Caldatribacteriota dominate below the SMI. Verrucomicrobiota, Bathyarchaeia and Hadarchaeota were similarly present in both types of sediment. The genomic inventory and transcriptional activity suggest roles in fermentation of macromolecule. By contrast, sulfate reducers and methanogens, organisms that catalyze the consumption or production of commonly observed chemical compounds in sediments are rare. Methanotrophs of the ANME-1 group thrived in or slightly below the current sulfate methane interface. Rare members from Heimdallarchaeia were identified to encode the potential for anaerobic oxidation of short-chain hydrocarbons. ConclusionsThese findings indicate that fermentation of macromolecules is the predominant energy source for microorganisms in deep subseafloor sediments that are experiencing upward methane fluxes.

microbiology↗

bioRxiv2020

Structural basis of αE-catenin-F-actin catch bond behavior

Cell-cell and cell-matrix junctions transmit mechanical forces during tissue morphogenesis and homeostasis. -Catenin links cell-cell adhesion complexes to the actin cytoskeleton, and mechanical load strengthens its binding to F-actin in a direction-sensitive manner. This so-called catch bond behavior is described by a model in which force promotes a transition between weak and strong actin-bound states. We describe the cryo-electron microscopy structure of the F-actin-bound E-catenin actin-binding domain, which in solution forms a 5-helix bundle. Upon binding to actin, the first helix of the bundle dissociates and the remaining four helices and connecting loops rearrange to form the interface with actin. Deletion of the N-terminal helix produces strong actin binding in the absence of force. Our analysis explains how mechanical force applied to E-catenin or its homolog vinculin favors the strongly bound state, and the dependence of catch bond strength on the direction of applied force.

biophysics↗