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Instruments / Technical Area	Publication Details	Published
B21-High Throughput SAXS	Microsecond time-resolved X-ray scattering by utilizing MHz repetition rate at second-generation XFELs Patrick E. Konold , Leonardo Monrroy , Alfredo Bellisario , Diogo Filipe , Patrick Adams , Roberto Alvarez , Richard Bean , Johan Bielecki , Szabolcs Bódizs , Gabriel Ducrocq , Helmut Grubmueller , Richard A. Kirian , Marco Kloos , Jayanath C. P. Koliyadu , Faisal H. M. Koua , Taru Larkiala , Romain Letrun , Fredrik Lindsten , Michael Maihöfer , Andrew Martin , Petra Mészáros , Jennifer Mutisya , Amke Nimmrich , Kenta Okamoto , Adam Round , Tokushi Sato , Joana Valerio , Daniel Westphal , August Wollter , Tej Varma Yenupuri , Tong You , Filipe Maia , Sebastian Westenhoff Nature Methods 17 DOI: 10.1038/s41592-024-02344-0 Open Access Show Abstract ▼ Abstract: Detecting microsecond structural perturbations in biomolecules has wide relevance in biology, chemistry and medicine. Here we show how MHz repetition rates at X-ray free-electron lasers can be used to produce microsecond time-series of protein scattering with exceptionally low noise levels of 0.001%. We demonstrate the approach by examining Jɑ helix unfolding of a light-oxygen-voltage photosensory domain. This time-resolved acquisition strategy is easy to implement and widely applicable for direct observation of structural dynamics of many biochemical processes.	Jul 2024
	Outcomes of the EMDataResource cryo-EM ligand modeling challenge Catherine L. Lawson , Andriy Kryshtafovych , Grigore D. Pintilie , Stephen Burley , Jiří Černý , Vincent B. Chen , Paul Emsley , Alberto Gobbi , Andrzej Joachimiak , Sigrid Noreng , Michael G. Prisant , Randy J. Read , Jane S. Richardson , Alexis L. Rohou , Bohdan Schneider , Benjamin D. Sellers , Chenghua Shao , Elizabeth Sourial , Chris I. Williams , Christopher J. Williams , Ying Yang , Venkat Abbaraju , Pavel V. Afonine , Matthew L. Baker , Paul S. Bond , Tom L. Blundell , Tom Burnley , Arthur Campbell , Renzhi Cao , Jianlin Cheng , Grzegorz Chojnowski , Kevin D. Cowtan , Frank Dimaio , Reza Esmaeeli , Nabin Giri , Helmut Grubmüller , Soon Wen Hoh , Jie Hou , Corey F. Hryc , Carola Hunte , Maxim Igaev , Agnel P. Joseph , Wei-Chun Kao , Daisuke Kihara , Dilip Kumar , Lijun Lang , Sean Lin , Sai R. Maddhuri Venkata Subramaniya , Sumit Mittal , Arup Mondal , Nigel W. Moriarty , Andrew Muenks , Garib N. Murshudov , Robert A. Nicholls , Mateusz Olek , Colin M. Palmer , Alberto Perez , Emmi Pohjolainen , Karunakar R. Pothula , Christopher N. Rowley , Daipayan Sarkar , Luisa U. Schäfer , Christopher J. Schlicksup , Gunnar F. Schröder , Mrinal Shekhar , Dong Si , Abhishek Singharoy , Oleg V. Sobolev , Genki Terashi , Andrea C. Vaiana , Sundeep C. Vedithi , Jacob Verburgt , Xiao Wang , Rangana Warshamanage , Martyn Winn , Simone Weyand , Keitaro Yamashita , Minglei Zhao , Michael F. Schmid , Helen M. Berman , Wah Chiu Nature Methods 24 DOI: 10.1038/s41592-024-02321-7 Show Abstract ▼ Abstract: The EMDataResource Ligand Model Challenge aimed to assess the reliability and reproducibility of modeling ligands bound to protein and protein–nucleic acid complexes in cryogenic electron microscopy (cryo-EM) maps determined at near-atomic (1.9–2.5 Å) resolution. Three published maps were selected as targets: Escherichia coli beta-galactosidase with inhibitor, SARS-CoV-2 virus RNA-dependent RNA polymerase with covalently bound nucleotide analog and SARS-CoV-2 virus ion channel ORF3a with bound lipid. Sixty-one models were submitted from 17 independent research groups, each with supporting workflow details. The quality of submitted ligand models and surrounding atoms were analyzed by visual inspection and quantification of local map quality, model-to-map fit, geometry, energetics and contact scores. A composite rather than a single score was needed to assess macromolecule+ligand model quality. These observations lead us to recommend best practices for assessing cryo-EM structures of liganded macromolecules reported at near-atomic resolution.	Jun 2024
	REMBI: Recommended Metadata for Biological Images—enabling reuse of microscopy data in biology Ugis Sarkans , Wah Chiu , Lucy M. Collinson , Michele C. Darrow , Jan Ellenberg , David Grunwald , Jean-Karim Hériché , Andrii Iudin , Gabriel G. Martins , Terry Meehan , Kedar Narayan , Ardan Patwardhan , Matthew Robert Geoffrey Russell , Helen R. Saibil , Caterina Strambio-De-Castillia , Jason R. Swedlow , Christian Tischer , Virginie Uhlmann , Paul Verkade , Mary Barlow , Omer Bayraktar , Ewan Birney , Cesare Catavitello , Christopher Cawthorne , Stephan Wagner-Conrad , Elizabeth Duke , Perrine Paul-Gilloteaux , Emmanuel Gustin , Maria Harkiolaki , Pasi Kankaanpää , Thomas Lemberger , Jo Mcentyre , Josh Moore , Andrew W. Nicholls , Shuichi Onami , Helen Parkinson , Maddy Parsons , Marina Romanchikova , Nicholas Sofroniew , Jim Swoger , Nadine Utz , Lenard M. Voortman , Frances Wong , Peijun Zhang , Gerard J. Kleywegt , Alvis Brazma Nature Methods 21 DOI: 10.1038/s41592-021-01166-8 Show Abstract ▼ Abstract: Bioimaging data have significant potential for reuse, but unlocking this potential requires systematic archiving of data and metadata in public databases. We propose draft metadata guidelines to begin addressing the needs of diverse communities within light and electron microscopy. We hope this publication and the proposed Recommended Metadata for Biological Images (REMBI) will stimulate discussions about their implementation and future extension.	May 2021
B21-High Throughput SAXS I03-Macromolecular Crystallography I24-Microfocus Macromolecular Crystallography	Megabodies expand the nanobody toolkit for protein structure determination by single-particle cryo-EM Tomasz Uchański , Simonas Masiulis , Baptiste Fischer , Valentina Kalichuk , Uriel López-Sánchez , Eleftherios Zarkadas , Miriam Weckener , Andrija Sente , Philip Ward , Alexandre Wohlkonig , Thomas Zogg , Han Remaut , James Naismith , Hugues Nury , Wim Vranken , A. Radu Aricescu , Els Pardon , Jan Steyaert Nature Methods 18, 60 - 68 DOI: 10.1038/s41592-020-01001-6 Show Abstract ▼ Abstract: Nanobodies are popular and versatile tools for structural biology. They have a compact single immunoglobulin domain organization, bind target proteins with high affinities while reducing their conformational heterogeneity and stabilize multi-protein complexes. Here we demonstrate that engineered nanobodies can also help overcome two major obstacles that limit the resolution of single-particle cryo-electron microscopy reconstructions: particle size and preferential orientation at the water–air interfaces. We have developed and characterized constructs, termed megabodies, by grafting nanobodies onto selected protein scaffolds to increase their molecular weight while retaining the full antigen-binding specificity and affinity. We show that the megabody design principles are applicable to different scaffold proteins and recognition domains of compatible geometries and are amenable for efficient selection from yeast display libraries. Moreover, we demonstrate that megabodies can be used to obtain three-dimensional reconstructions for membrane proteins that suffer from severe preferential orientation or are otherwise too small to allow accurate particle alignment.	Jan 2021
	emClarity: software for high-resolution cryo-electron tomography and subtomogram averaging Benjamin A. Himes , Peijun Zhang Nature Methods 7 DOI: 10.1038/s41592-018-0167-z Show Abstract ▼ Abstract: Macromolecular complexes are intrinsically flexible and often challenging to purify for structure determination by single-particle cryo-electron microscopy (cryo-EM). Such complexes can be studied by cryo-electron tomography (cryo-ET) combined with subtomogram alignment and classification, which in exceptional cases achieves subnanometer resolution, yielding insight into structure–function relationships. However, it remains challenging to apply this approach to specimens that exhibit conformational or compositional heterogeneity or are present in low abundance. To address this, we developed emClarity (https://github.com/bHimes/emClarity/wiki), a GPU-accelerated image-processing package featuring an iterative tomographic tilt-series refinement algorithm that uses subtomograms as fiducial markers and a 3D-sampling-function-compensated, multi-scale principal component analysis classification method. We demonstrate that our approach offers substantial improvement in the resolution of maps and in the separation of different functional states of macromolecular complexes compared with current state-of-the-art software.	Oct 2018
	High-speed fixed-target serial virus crystallography Philip Roedig , Helen M. Ginn , Tim Pakendorf , Geoff Sutton , Karl Harlos , Thomas S. Walter , Jan Meyer , Pontus Fischer , Ramona Duman , Ismo Vartiainen , Bernd Reime , Martin Warmer , Aaron S. Brewster , Iris D. Young , Tara Michels-Clark , Nicholas K. Sauter , Abhay Kotecha , James Kelly , David J. Rowlands , Marcin Sikorsky , Silke Nelson , Daniel S. Damiani , Roberto Alonso-Mori , Jingshan Ren , Elizabeth E. Fry , Christian David , David I. Stuart , Armin Wagner , Alke Meents Nature Methods 8 DOI: 10.1038/nmeth.4335 Show Abstract ▼ Abstract: We report a method for serial X-ray crystallography at X-ray free-electron lasers (XFELs), which allows for full use of the current 120-Hz repetition rate of the Linear Coherent Light Source (LCLS). Using a micropatterned silicon chip in combination with the high-speed Roadrunner goniometer for sample delivery, we were able to determine the crystal structures of the picornavirus bovine enterovirus 2 (BEV2) and the cytoplasmic polyhedrosis virus type 18 polyhedrin, with total data collection times of less than 14 and 10 min, respectively. Our method requires only micrograms of sample and should therefore broaden the applicability of serial femtosecond crystallography to challenging projects for which only limited sample amounts are available. By synchronizing the sample exchange to the XFEL repetition rate, our method allows for most efficient use of the limited beam time available at XFELs and should enable a substantial increase in sample throughput at these facilities.	Jun 2017
NONE-No attached Diamond beamline	Drop-on-demand sample delivery for studying biocatalysts in action at X-ray free-electron lasers Franklin D Fuller , Sheraz Gul , Ruchira Chatterjee , E. Sethe Burgie , Iris D. Young , Hugo Lebrette , Vivek Srinivas , Aaron Brewster , Tara Michels-Clark , Jonathan A Clinger , Babak Andi , Mohamed Ibrahim , Ernest Pastor , Casper De Lichtenberg , Rana Hussein , Christopher J Pollock , Miao Zhang , Claudiu A Stan , Thomas Kroll , Thomas Fransson , Clemens Weninger , Markus Kubin , Pierre Aller , Louise Lassalle , Philipp Braeuer , Mitchell D. Miller , Muhamed Amin , Sergey Koroidov , Christian G. Roessler , Marc Allaire , Raymond G Sierra , Peter T. Docker , James M. Glownia , Silke Nelson , Jason E Koglin , Diling Zhu , Matthieu Chollet , Sanghoon Song , Henrik Lemke , Mengning Liang , Dimosthenis Sokaras , Roberto Alonso-Mori , Athina Zouni , Johannes Messinger , Uwe Bergmann , Amie K. Boal , J. Martin Bollinger , Carsten Krebs , Martin Högbom , George N. Phillips , Richard D. Vierstra , Nicholas K Sauter , Allen M. Orville , Jan Kern , Vittal K Yachandra , Junko Yano Nature Methods 5 DOI: 10.1038/nmeth.4195 Show Abstract ▼ Abstract: X-ray crystallography at X-ray free-electron laser sources is a powerful method for studying macromolecules at biologically relevant temperatures. Moreover, when combined with complementary techniques like X-ray emission spectroscopy, both global structures and chemical properties of metalloenzymes can be obtained concurrently, providing insights into the interplay between the protein structure and dynamics and the chemistry at an active site. The implementation of such a multimodal approach can be compromised by conflicting requirements to optimize each individual method. In particular, the method used for sample delivery greatly affects the data quality. We present here a robust way of delivering controlled sample amounts on demand using acoustic droplet ejection coupled with a conveyor belt drive that is optimized for crystallography and spectroscopy measurements of photochemical and chemical reactions over a wide range of time scales. Studies with photosystem II, the phytochrome photoreceptor, and ribonucleotide reductase R2 illustrate the power and versatility of this method.	Feb 2017
I24-Microfocus Macromolecular Crystallography	Time-resolved crystallography using the Hadamard transform Briony Yorke , Robin Owen , Godfrey Beddard , Arwen Pearson Nature Methods DOI: 10.1038/nmeth.3139 PMID: 25282611 Diamond Proposal Number(s): [8367, 5810] Show Abstract ▼ Abstract: We describe a method for performing time-resolved X-ray crystallographic experiments based on the Hadamard transform, in which time resolution is defined by the underlying periodicity of the probe pulse sequence, and signal/noise is greatly improved over that for the fastest pump-probe experiments depending on a single pulse. This approach should be applicable on standard synchrotron beamlines and will enable high-resolution measurements of protein and small-molecule structural dynamics. It is also applicable to other time-resolved measurements where a probe can be encoded, such as pump-probe spectroscopy.	Oct 2014

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