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Biology subjects

Naitow, H.

Publications and source records attributed to Naitow, H..

3 recordsLinked to original sources

High throughput protein serial crystallography using a grease matrix and a large-area support film

Serial femtosecond crystallography (SFX) using ultrashort pulses from X-ray free- electron lasers (XFELs) enables the determination of crystal structures at room temperature while minimizing radiation damage to the samples. This method involves irradiating numerous crystals one by one with XFEL pulses, allowing even the capture snapshots of dynamical structures in biological macromolecules. To achieve this, an efficient sample delivery system is essential for acquiring a large number of diffraction patterns. The most common approach uses a highly viscous grease matrix containing sample crystals, injected into the XFEL path from a narrow nozzle. However, the injection often suffers from clogging issues inside the injector nozzle, resulting in additional challenges such as the need for suitably sized crystals, increased sample consumption and unstable flow rates. Alternatively, a fixed-target approach, which scans a two-dimensional substrate with dispersed samples, can circumvent these issues. However, it must ensure the integrity of biological samples and provide sufficient surface area for efficient data collection. We here present an approach that utilizes a grease matrix and a large-area support film specially designed to address these requirements. This system offers a fast and reliable solution for protein SFX, enabling high-quality structure determination while significantly reducing sample consumption.

molecular biology↗

Unidirectional ion transport mechanism of a light-driven chloride pump revealed using X-ray free electron lasers

Light-driven chloride-pumping rhodopsins actively transport anions, including various halide ions, across cell membranes. Recent studies using time-resolved serial femtosecond crystallography (TR-SFX) have uncovered the structural changes and ion transfer mechanisms in light-driven cation-pumping rhodopsins. However, the mechanism by which the conformational changes pump an anion to achieve unidirectional ion transport, from the extracellular side to the cytoplasmic side, in anion-pumping rhodopsins remains enigmatic. We have collected TR-SFX data of Nonlabens marinus rhodopsin-3 (NM-R3), derived from a marine flavobacterium, at 10 s and 1 ms time-points after photoexcitation. Our structural analysis reveals the conformational alterations during ion transfer and after ion release. Movements of the retinal chromophore initially displace a conserved tryptophan to the cytoplasmic side of NM-R3, accompanied with a slight shift of the halide ion bound to the retinal. After ion release, the inward movements of helix C and helix G and the lateral displacements of the retinal block access to the extracellular side of NM-R3. Anomalous signal data have also been obtained from NM-R3 crystals containing iodide ions. The anomalous density maps provide insight into the halide binding site for ion transfer in NM-R3. SignificanceLight-driven chloride pumps have been identified in various species, including archaea and marine flavobacteria. The function of ion transportation controllable by light is utilized for optogenetics tools in neuroscience. Chloride pumps differ among species, in terms of amino acid homology and structural similarity. Our time-resolved crystallographic studies using X-ray free electron lasers reveal the molecular mechanism of halide ion transfer in a light-driven chloride pump from a marine flavobacterium. Our data indicate a common mechanism in chloride pumping rhodopsins, as compared to previous low temperature trapping studies of chloride pumps. These findings are significant not only for further improvements of optogenetic tools but also for a general understanding of the ion pumping mechanisms of microbial rhodopsins.

molecular biology↗

Real-time object locator for cryo-EM data collection--- You only navigate EM once ---

In cryo-electron microscopy (cryo-EM) data collection, locating a target object is the most error-prone. Here, we present a machine learning-based approach with a real-time object locator named yoneoLocr using YOLO, a well-known object detection system. Implementation showed its effectiveness in rapidly and precisely locating carbon holes in single particle cryo-EM and for locating crystals and evaluating electron diffraction (ED) patterns in automated cryo-electron crystallography (cryo-EX) data collection.

biophysics↗