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Biology subjects

Scaletti Hutchinson, E.

Publications and source records attributed to Scaletti Hutchinson, E..

3 recordsLinked to original sources

Continuous Serial Electron Diffraction for High Quality Protein Structures

Determining macromolecular structures is crucial for understanding biological mechanisms and advancing drug discovery. Three-dimensional electron diffraction (3D ED), also known as microcrystal electron diffraction (MicroED) using continuous sample rotation has emerged as a powful method for solving structures from sub-micrometre-sized crystals. However, the resolution of MicroED data from protein crystals is often limited by radiation damage. Serial electron diffraction (SerialED) overcomes this limitation by merging single-shot diffraction patterns from thousands of crystals, but its widespread use has been hindered by the complexity and scarcity of equipment required for single shot data acquisition. Here, we introduce continuous SerialED (c-SerialED) - a simple, robust and widely accessible protocol. This approach collects diffraction data quickly and efficiently from all crystals within a given area, without prior crystal identification. We show that only using a standard cryo-EM instrument equipped with a simple widely available CMOS detector, c-SerialED greatly reduces radiation damage while improving the data quality. We demonstrate that c-SerialED enables determination of lysozyme structures at atomic resolution (0.83 [A]) and improves the data resolution of Dype Type Peroxidase Aa (DTPAa) crystals from 2.5 [A] (MicroED) to 1.3 [A]. Remarkably, the resulting structures are virtually free of radiation damage. The improved data quality and resolution allow visualization of radiation sensitive chemical features and protein-ligand interactions to state-of-the-art accuracy. By providing a convenient, fast, and damage-minimizing workflow on existing cryo-EM setups, c-SerialED significantly enhances the applicability of electron diffraction in structural biology. We anticipate our protocol will enable a wide range of studies requiring high-quality diffraction data from radiation-sensitive macromolecular crystals.

molecular biology↗

Nanobinders for Synaptotagmin 1 enable the analysis of synapticvesicle dynamics in rodent and human models.

Synaptic neurotransmission is a critical hallmark of brain activity and one of the first processes to be affected in neural diseases. Monitoring this process, and in particular synaptic vesicle recycling, in living cells has been instrumental in unraveling mechanisms responsible for neurotransmitter release. However, currently available reporters suffer from major limitations such large probe size or lack of suitability for human neurons, hampering the understanding of human synaptic pathophysiology. Here we describe the NbLumSyt1 toolkit, a panel of nanobody-based affinity probes targeting the luminal domain of the synaptic vesicle protein Synaptotagmin 1 (Syt1). These new tools enable quantitative, non-invasive imaging and functional interrogation of synaptic transmission in human neurons, with unprecedented precision, versatility and cost efficiency, in technologies ranging from fixed-and live-cell super-resolution imaging to electron microscopy and mass spectrometry. Overall, NbLumSyt1 nanobinders provide a valuable platform for human synaptic physiology and pathophysiology, benefiting fundamental neuroscience and translational efforts to study and develop treatments for brain-related disorders.

neuroscience↗

AutoLEI: An XDS-based Graphical User Interface for Automated Real-time and Offline Batch 3D ED/MicroED Data Processing

Three-dimensional electron diffraction (3D ED), also known as microcrystal electron diffraction (MicroED), is an emerging method for determining structures of submicron-sized crystals. With the development of rapid and convenient data collection protocols, acquiring dozens of datasets in a single MicroED session has become routine. A fast and automated workflow for processing, scaling and merging a large number of MicroED datasets can significantly accelerate the structure determination process. Herein, we present an XDS-based graphical user interface for automated real-time and offline batch 3D ED/MicroED data processing (AutoLEI). We illustrate the functionality of the GUI through four examples, demonstrating both offline and real-time data processing capabilities. These examples include small organic molecules, metal-organic frameworks (MOFs), and proteins, showcasing the versatility and efficiency of the GUI in various applications. SynopsisA graphical user interface for real-time and offline 3D ED/MicroED data processing by XDS was developed. The GUI aims to improve efficiency, minimize redundant data processing work, and provide users with real-time feedback during data collection.

molecular biology↗