A data set from flash X-ray imaging of carboxysomes

Max F. Hantke, Dirk Hasse, Tomas Ekeberg, Katja John, Martin Svenda, Duane Loh, Andrew V. Martin, Nicusor Timneanu, Daniel S.D. Larsson, Gijs Van Der Schot, Gunilla H. Carlsson, Margareta Ingelman, Jakob Andreasson, Daniel Westphal, Bianca Iwan, Charlotte Uetrecht, Johan Bielecki, Mengning Liang, Francesco Stellato, Daniel P. DePonteSadia Bari, Robert Hartmann, Nils Kimmel, Richard A. Kirian, M. Marvin Seibert, Kerstin Mühlig, Sebastian Schorb, Ken Ferguson, Christoph Bostedt, Sebastian Carron, John D. Bozek, Daniel Rolles, Artem Rudenko, Lutz Foucar, Sascha W. Epp, Henry N. Chapman, Anton Barty, Inger Andersson, Janos Hajdu, Filipe R.N.C. Maia

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Ultra-intense femtosecond X-ray pulses from X-ray lasers permit structural studies on single particles and biomolecules without crystals. We present a large data set on inherently heterogeneous, polyhedral carboxysome particles. Carboxysomes are cell organelles that vary in size and facilitate up to 40% of Earth's carbon fixation by cyanobacteria and certain proteobacteria. Variation in size hinders crystallization. Carboxysomes appear icosahedral in the electron microscope. A protein shell encapsulates a large number of Rubisco molecules in paracrystalline arrays inside the organelle. We used carboxysomes with a mean diameter of 115±26 nm from Halothiobacillus neapolitanus. A new aerosol sample-injector allowed us to record 70,000 low-noise diffraction patterns in 12 min. Every diffraction pattern is a unique structure measurement and high-throughput imaging allows sampling the space of structural variability. The different structures can be separated and phased directly from the diffraction data and open a way for accurate, high-throughput studies on structures and structural heterogeneity in biology and elsewhere.

Original languageEnglish (US)
Article number160061
JournalScientific Data
Volume3
DOIs
StatePublished - Aug 1 2016

ASJC Scopus subject areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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