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  • 1.
    Abubeker, Ismail
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Visualizing fusion between liposomes and influenza virus through trEM2024Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Time-resolved cryogenic electron microscopy (cryo-EM) is a powerful technique for capturingtransient molecular and viral structures during conformational changes. This method providesunique and potentially critical insights into the transient states of biomolecules, which can beinvaluable for drug development. Additionally, it offers glimpses into the pathology of viruses asthey interact with their immediate environment. In this project, a plunge freezer initially designedfor a spray-and-plunge approach in time-resolved cryo-EM [24] was modified to implement aflash-and-freeze system [3]. This modified system was tested on two different viruses: influenzaH3N2 type A and Chaetoceros tenuissimus DNA virus type II. The primary objective was tovisualize an intermediate state during the membrane fusion process between influenza A andliposomes with endosomal characteristics. Although no intermediate state was captured forinfluenza, the activation and pH reduction were successfully achieved. The study on Chaetocerostenuissimus DNA virus type II focused on potential conformational changes due to a drop in pH,rather than capturing intermediate states in a time-resolved manner. Future experiments withmore precise control over blotting, delivered intensity, and the concentration of the cagedcompound are expected to facilitate the capture and analysis of intermediate states.

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  • 2.
    Adams, Christopher
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences.
    Kjeldsen, Frank
    Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Ion Physics.
    Patriksson, Alexandra
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    van Der Spoel, David
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Gräslund, Astrid
    Papadopolous, Evangelos
    Zubarev, Roman
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Probing Solution-Phase and Gas-Phase Structures of Trp-cage Cations by Chiral Substitution and Spectroscopic Techniques2006In: International Journal of Mass Spectrometry, ISSN 1387-3806, E-ISSN 1873-2798, Vol. 253, no 3, p. 263-273Article in journal (Refereed)
    Abstract [en]

    The relevance of gas-phase protein structure to its solution structure is of the utmost importance in studying biomolecules by mass spectrometry. D-Amino acid substitutions within a minimal protein. Trp-cage. were used to correlate solution-phase properties as measured by circular dichroism with solution/gas-phase conformational features of protein cations probed via charge state distribution (CSD) in electrospray ionization. and gas-phase features revealed by tandem mass spectrometry (MS/MS). The gas-phase features were additionally supported by force-field molecular dynamics simulations. CD data showed that almost any single-residue D-substitution destroys the most prominent CD feature of the "native" all-L isomer, alpha-helicity. CSD was able to qualitatively assess the degree of compactness of solution-phase molecular structures. CSD results were consistent with the all-L form being the most compact in solution among all studied stereoisomers except for the D-Asn(1) isomer. D-substitutions of the aromatic Y(3), W(6) and Q(5) residues generated the largest deviations in CSD data among single amino acid substitutions. consistent with the critical role of these residues in Trp-cage stability. Electron capture dissociation of the stereoisomer dications gave an indication that some gas-phase structural features of Trp-cage are similar to those in solution. This result is supported by MDS data oil five of the studied stereoisomer dications in the gas-phase. The MDS-derived minimum-energy structures possessed more extensive hydrogen bonding than the solution-phase structure of the native form, deviating from the latter by 3-4 angstrom and were not 'inside-out' compared to native structures. MDS data could be correlated with CD data and even with ECD results. which aided in providing a long-range structural constraint for MDS. The overall conclusion is the general resemblance, despite the difference on the detailed level, of the preferred structures in both phases for the mini protein Trp-cage.

  • 3.
    Aguirre Rivera, Javier
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Mao, Guanzhong
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Sabantsev, Anton
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Panfilov, Mikhail
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Hou, Qinhan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Lindell, Magnus
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences.
    Chanez, C.
    Univ Zurich, Dept Biochem, CH-8057 Zurich, Switzerland..
    Ritort, F.
    Univ Barcelona, Condensed Matter Phys Dept, Small Biosyst Lab, Barcelona 08028, Spain.;Univ Barcelona, Inst Nanociencia & Nanotecnol In2UB, Barcelona 08028, Spain..
    Jinek, M.
    Univ Zurich, Dept Biochem, CH-8057 Zurich, Switzerland..
    Deindl, Sebastian
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Massively parallel analysis of single-molecule dynamics on next-generation sequencing chips2024In: Science, ISSN 0036-8075, E-ISSN 1095-9203, Vol. 385, no 6711, p. 892-898Article in journal (Refereed)
    Abstract [en]

    Single-molecule techniques are ideally poised to characterize complex dynamics but are typically limited to investigating a small number of different samples. However, a large sequence or chemical space often needs to be explored to derive a comprehensive understanding of complex biological processes. Here we describe multiplexed single-molecule characterization at the library scale (MUSCLE), a method that combines single-molecule fluorescence microscopy with next-generation sequencing to enable highly multiplexed observations of complex dynamics. We comprehensively profiled the sequence dependence of DNA hairpin properties and Cas9-induced target DNA unwinding-rewinding dynamics. The ability to explore a large sequence space for Cas9 allowed us to identify a number of target sequences with unexpected behaviors. We envision that MUSCLE will enable the mechanistic exploration of many fundamental biological processes.

  • 4. Allen, Andrew J.
    et al.
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Kaysser-Pyzalla, Anke R.
    Beyond the International Year of Crystallography2015In: Journal of applied crystallography, ISSN 0021-8898, E-ISSN 1600-5767, Vol. 48, no P1, p. 1-2Article in journal (Other academic)
  • 5.
    Allen, Andrew J.
    et al.
    NIST, Mat Measurement Sci Div Gaithersburg, MD USA.
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics. AS CR, European Extreme Light Infrastruct, Inst Phys, Prague, Czech Republic..
    McIntyre, Garry J.
    Australian Nucl Sci & Technol Org, New Illawarra Rd, Lucas Heights, NSW, Australia.
    Journal of Applied Crystallography: the first 50 years and beyond2018In: Journal of applied crystallography, ISSN 0021-8898, E-ISSN 1600-5767, Vol. 51, no Part: 2, p. 233-234Article in journal (Other academic)
    Abstract [en]

    The Editors of Journal of Applied Crystallography mark the journal's 50th anniversary.

  • 6.
    Ancker Persson, Björn
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Structural and biophysical studies on infection phenotypes in totivirus-like viruses2023Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Viruses pose significant threats to human health, making it crucial to understand their structure and behavior to develop effective treatments. This study focuses on two strains of Giardia Lamblia virus (GLV) (a cat strain and human strain) a virus that infects the parasite Giardia Lamblia which in turn can infect humans or animals. Understanding viruses helps immensely with treating people who are infected as well as our ability to utilize the virus for good. The Omono River virus (OmRV) and saccharomyces cerevisae virus (ScV-L-A) is used for comparison. OmRV belongs to a group called totivirus-like viruses and ScV-L-A and GLV belong to the Totiviridae group. They have some common characteristics such as isometric virions, double-stranded RNA genomes, and 120 chemically identical subunits. What sets them apart is their hosts, viruses in the Totiviridae group only infect protozoan hosts intracellularly while OmRV only infects metazoan hosts extracellularly. GLV is interesting because it has displayed both an intra- and extracellular mode of infection. Finding out more about GLV could give us insight into viral evolution. Cryo-electron microscopy (cryoEM) is used to investigate the structure of GLV. From the cryoEM data models were created using Coot and Chimera with resolutions of 4.0 Å for the human strain and 4.2 Å for the cat strain. Found in these models were an open pore compared to the closed one of OmRV as well as lack of a C-terminal, which is used to increase stability. Signs of conserved 𝛼-helices are also found indicating their evolutionary relationship. 

    The full text will be freely available from 2026-07-04 18:21
  • 7.
    Andreasson, Jakob
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Iwan, Bianca Stella
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Andrejczuk, A.
    Abreu, E.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Bergh, M.
    Caleman, Carl
    Nelson, A. J.
    Bajt, S.
    Chalupsky, J.
    Chapman, H. N.
    Faeustlin, R. R.
    Hajkova, V.
    Heimann, P. A.
    Hjörvarsson, Björgvin
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Materials Physics.
    Juha, L.
    Klinger, D.
    Krzywinski, J.
    Nagler, B.
    Pålsson, Gunnar Karl
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Materials Physics.
    Singer, W.
    Seibert, Marvin
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Sobicrajski, R.
    Tolcikis, S.
    Tschentscher, T.
    Vinko, S. M.
    Lee, R. W.
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Timneanu, Nicusor
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Saturated ablation in metal hydrides and acceleration of protons and deuterons to keV energies with a soft-x-ray laser2011In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, ISSN 1539-3755, E-ISSN 1550-2376, Vol. 83, no 1, p. 016403-Article in journal (Refereed)
    Abstract [en]

    Studies of materials under extreme conditions have relevance to a broad area of research, including planetary physics, fusion research, materials science, and structural biology with x-ray lasers. We study such extreme conditions and experimentally probe the interaction between ultrashort soft x-ray pulses and solid targets (metals and their deuterides) at the FLASH free-electron laser where power densities exceeding 1017 W/cm2 were reached. Time-of-flight ion spectrometry and crater analysis were used to characterize the interaction. The results show the onset of saturation in the ablation process at power densities above 1016 W/cm2. This effect can be linked to a transiently induced x-ray transparency in the solid by the femtosecond x-ray pulse at high power densities. The measured kinetic energies of protons and deuterons ejected from the surface reach several keV and concur with predictions from plasma-expansion models. Simulations of the interactions were performed with a nonlocal thermodynamic equilibrium code with radiation transfer. These calculations return critical depths similar to the observed crater depths and capture the transient surface transparency at higher power densities.

  • 8.
    Andreasson, Jakob
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Martin, Andrew V.
    Liang, Meng
    Timneanu, Nicusor
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Aquila, Andrew
    Wang, Fenglin
    Iwan, Bianca
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Svenda, Martin
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Ekeberg, Tomas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hantke, Max
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Bielecki, Johan
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Rolles, Daniel
    Rudenko, Artem
    Foucar, Lutz
    Hartmann, Robert
    Erk, Benjamin
    Rudek, Benedikt
    Chapman, Henry N.
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Barty, Anton
    Automated identification and classification of single particle serial femtosecond X-ray diffraction data2014In: Optics Express, E-ISSN 1094-4087, Vol. 22, no 3, p. 2497-2510Article in journal (Refereed)
    Abstract [en]

    The first hard X-ray laser, the Linac Coherent Light Source (LCLS), produces 120 shots per second. Particles injected into the X-ray beam are hit randomly and in unknown orientations by the extremely intense X-ray pulses, where the femtosecond-duration X-ray pulses diffract from the sample before the particle structure is significantly changed even though the sample is ultimately destroyed by the deposited X-ray energy. Single particle X-ray diffraction experiments generate data at the FEL repetition rate, resulting in more than 400,000 detector readouts in an hour, the data stream during an experiment contains blank frames mixed with hits on single particles, clusters and contaminants. The diffraction signal is generally weak and it is superimposed on a low but continually fluctuating background signal, originating from photon noise in the beam line and electronic noise from the detector. Meanwhile, explosion of the sample creates fragments with a characteristic signature. Here, we describe methods based on rapid image analysis combined with ion Time-of-Flight (ToF) spectroscopy of the fragments to achieve an efficient, automated and unsupervised sorting of diffraction data. The studies described here form a basis for the development of real-time frame rejection methods, e. g. for the European XFEL, which is expected to produce 100 million pulses per hour. (C)2014 Optical Society of America

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  • 9.
    Andreasson, Jakob
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Timneanu, Nicusor
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Iwan, Bianca
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hantke, Max
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Rath, Asawari
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Ekeberg, Tomas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Maia, Filipe R. N. C.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Barty, Anton
    Chapman, Henry N.
    Bielecki, Johan
    Abergel, C.
    Seltzer, V.
    Claverie, J.-M.
    Svenda, M.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Time of Flight Mass Spectrometry to Monitor Sample Expansion in Flash Diffraction Studies on Single Virus ParticlesManuscript (preprint) (Other academic)
  • 10.
    Andrikopoulos, Prokopis C.
    et al.
    Czech Acad Sci, BIOCEV, Inst Biotechnol, Prumyslova 595, CZ-25250 Vestec, Czech Republic..
    Liu, Yingliang
    Czech Acad Sci, BIOCEV, Inst Biotechnol, Prumyslova 595, CZ-25250 Vestec, Czech Republic..
    Picchiotti, Alessandra
    Czech Acad Sci, ELI Beamlines, Inst Phys, Za Radnici 835, CZ-25241 Dolni Brezany, Czech Republic..
    Lenngren, Nils
    Czech Acad Sci, ELI Beamlines, Inst Phys, Za Radnici 835, CZ-25241 Dolni Brezany, Czech Republic..
    Kloz, Miroslav
    Czech Acad Sci, ELI Beamlines, Inst Phys, Za Radnici 835, CZ-25241 Dolni Brezany, Czech Republic..
    Chaudhari, Aditya S.
    Czech Acad Sci, BIOCEV, Inst Biotechnol, Prumyslova 595, CZ-25250 Vestec, Czech Republic..
    Precek, Martin
    Czech Acad Sci, ELI Beamlines, Inst Phys, Za Radnici 835, CZ-25241 Dolni Brezany, Czech Republic..
    Rebarz, Mateusz
    Czech Acad Sci, ELI Beamlines, Inst Phys, Za Radnici 835, CZ-25241 Dolni Brezany, Czech Republic..
    Andreasson, Jakob
    Czech Acad Sci, ELI Beamlines, Inst Phys, Za Radnici 835, CZ-25241 Dolni Brezany, Czech Republic.;Chalmers Univ Technol, Dept Phys, Condensed Matter Phys, S-41296 Gothenburg, Sweden..
    Hajdu, J
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics. Czech Acad Sci, ELI Beamlines, Inst Phys, Za Radnici 835, CZ-25241 Dolni Brezany, Czech Republic.
    Schneider, Bohdan
    Czech Acad Sci, BIOCEV, Inst Biotechnol, Prumyslova 595, CZ-25250 Vestec, Czech Republic..
    Fuertes, Gustavo
    Czech Acad Sci, BIOCEV, Inst Biotechnol, Prumyslova 595, CZ-25250 Vestec, Czech Republic..
    Femtosecond-to-nanosecond dynamics of flavin mononucleotide monitored by stimulated Raman spectroscopy and simulations2020In: Physical Chemistry, Chemical Physics - PCCP, ISSN 1463-9076, E-ISSN 1463-9084, Vol. 22, no 12, p. 6538-6552Article in journal (Refereed)
    Abstract [en]

    Flavin mononucleotide (FMN) belongs to the large family of flavins, ubiquitous yellow-coloured biological chromophores that contain an isoalloxazine ring system. As a cofactor in flavoproteins, it is found in various enzymes and photosensory receptors, like those featuring the light-oxygen-voltage (LOV) domain. The photocycle of FMN is triggered by blue light and proceeds via a cascade of intermediate states. In this work, we have studied isolated FMN in an aqueous solution in order to elucidate the intrinsic electronic and vibrational changes of the chromophore upon excitation. The ultrafast transitions of excited FMN were monitored through the joint use of femtosecond stimulated Raman spectroscopy (FSRS) and transient absorption spectroscopy encompassing a time window between 0 ps and 6 ns with 50 fs time resolution. Global analysis of the obtained transient visible absorption and transient Raman spectra in combination with extensive quantum chemistry calculations identified unambiguously the singlet and triplet FMN populations and addressed solvent dynamics effects. The good agreement between the experimental and theoretical spectra facilitated the assignment of electronic transitions and vibrations. Our results represent the first steps towards more complex experiments aimed at tracking structural changes of FMN embedded in light-inducible proteins upon photoexcitation.

  • 11. Aquila, A.
    et al.
    Barty, A.
    Bostedt, C.
    Boutet, S.
    Carini, G.
    dePonte, D.
    Drell, P.
    Doniach, S.
    Downing, K. H.
    Earnest, T.
    Elmlund, H.
    Elser, V.
    Gühr, M.
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hastings, J.
    Hau-Riege, S. P.
    Huang, Z.
    Lattman, E. E.
    Maia, F. R. N. C.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Marchesini, S.
    Ourmazd, A.
    Pellegrini, C.
    Santra, R.
    Schlichting, I.
    Schroer, C.
    Spence, J. C. H.
    Vartanyants, I. A.
    Wakatsuki, S.
    Weis, W. I.
    Williams, G. J.
    The linac coherent light source single particle imaging road map2015In: Structural Dynamics, E-ISSN 2329-7778, Vol. 2, no 4, article id 041701Article in journal (Refereed)
    Abstract [en]

    Intense femtosecond x-ray pulses from free-electron laser sources allow the imag-ing of individual particles in a single shot. Early experiments at the Linac CoherentLight Source (LCLS) have led to rapid progress in the field and, so far, coherentdiffractive images have been recorded from biological specimens, aerosols, andquantum systems with a few-tens-of-nanometers resolution. In March 2014, LCLSheld a workshop to discuss the scientific and technical challenges for reaching theultimate goal of atomic resolution with single-shot coherent diffractive imaging. This paper summarizes the workshop findings and presents the roadmap towardreaching atomic resolution, 3D imaging at free-electron laser sources.

  • 12. Aquila, Andrew
    et al.
    Hunter, Mark S.
    Doak, R. Bruce
    Kirian, Richard A.
    Fromme, Petra
    White, Thomas A.
    Andreasson, Jakob
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Arnlund, David
    Bajt, Saša
    Barends, Thomas R. M.
    Barthelmess, Miriam
    Bogan, Michael J.
    Bostedt, Christoph
    Bottin, Hervé
    Bozek, John D.
    Caleman, Carl
    Coppola, Nicola
    Davidsson, Jan
    Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - Ångström, Physical Chemistry.
    DePonte, Daniel P.
    Elser, Veit
    Epp, Sascha W.
    Erk, Benjamin
    Fleckenstein, Holger
    Foucar, Lutz
    Frank, Matthias
    Fromme, Raimund
    Graafsma, Heinz
    Grotjohann, Ingo
    Gumprecht, Lars
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hampton, Christina Y.
    Hartmann, Andreas
    Hartmann, Robert
    Hau-Riege, Stefan
    Hauser, Günter
    Hirsemann, Helmut
    Holl, Peter
    Holton, James M.
    Hömke, André
    Johansson, Linda
    Kimmel, Nils
    Kassemeyer, Stephan
    Krasniqi, Faton
    Kühnel, Kai-Uwe
    Liang, Mengning
    Lomb, Lukas
    Malmerberg, Erik
    Marchesini, Stefano
    Martin, Andrew V.
    Maia, Filipe R.N.C.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Messerschmidt, Marc
    Nass, Karol
    Reich, Christian
    Neutze, Richard
    Rolles, Daniel
    Rudek, Benedikt
    Rudenko, Artem
    Schlichting, Ilme
    Schmidt, Carlo
    Schmidt, Kevin E.
    Schulz, Joachim
    Seibert, M. Marvin
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Soltau, Heike
    Shoeman, Robert L.
    Sierra, Raymond
    Starodub, Dmitri
    Stellato, Francesco
    Stern, Stephan
    Strüder, Lothar
    Timneanu, Nicusor
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Ullrich, Joachim
    Wang, Xiaoyu
    Williams, Garth J.
    Weidenspointner, Georg
    Weierstall, Uwe
    Wunderer, Cornelia
    Barty, Anton
    Spence, John C. H.
    Chapman, Henry N.
    Time-resolved protein nanocrystallography using an X-ray free-electron laser2012In: Optics Express, E-ISSN 1094-4087, Vol. 20, no 3, p. 2706-2716Article in journal (Refereed)
    Abstract [en]

    We demonstrate the use of an X-ray free electron laser synchronized with an optical pump laser to obtain X-ray diffraction snapshots from the photoactivated states of large membrane protein complexes in the form of nanocrystals flowing in a liquid jet. Light-induced changes of Photosystem I-Ferredoxin co-crystals were observed at time delays of 5 to 10 µs after excitation. The result correlates with the microsecond kinetics of electron transfer from Photosystem I to ferredoxin. The undocking process that follows the electron transfer leads to large rearrangements in the crystals that will terminally lead to the disintegration of the crystals. We describe the experimental setup and obtain the first time-resolved femtosecond serial X-ray crystallography results from an irreversible photo-chemical reaction at the Linac Coherent Light Source. This technique opens the door to time-resolved structural studies of reaction dynamics in biological systems.

  • 13.
    Assalauova, Dameli
    et al.
    DESY, Notkestr 85, D-22607 Hamburg, Germany.
    Kim, Young Yong
    DESY, Notkestr 85, D-22607 Hamburg, Germany.
    Bobkov, Sergey
    Natl Res Ctr, Kurchatov Inst, Akad Kurchatova Pl 1, Moscow 123182, Russia.
    Khubbutdinov, Ruslan
    DESY, Notkestr 85, D-22607 Hamburg, Germany; Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Kashirskoe Sh 31, Moscow 115409, Russia.
    Rose, Max
    DESY, Notkestr 85, D-22607 Hamburg, Germany.
    Alvarez, Roberto
    Arizona State Univ, Dept Phys, Tempe, AZ 85287 USA; Arizona State Univ, Sch Math & Stat Sci, Tempe, AZ 85287 USA.
    Andreasson, Jakob
    Acad Sci Czech Republ, ELI Beamlines, Inst Phys, CZ-18221 Prague, Czech Republic.
    Balaur, Eugeniu
    La Trobe Univ, Australian Res Council, La Trobe Inst Mol Sci LIMS, Dept Chem & Phys,Ctr Excellence Adv Mol Imaging, Melbourne, Vic 3086, Australia.
    Contreras, Alice
    Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA; Arizona State Univ, Biodesign Inst Ctr Immunotherapy Vaccines & Virot, Tempe, AZ 85287 USA.
    DeMirci, Hasan
    SLAC Natl Accelerator Lab, Stanford Pulse Inst, 2575 Sand Hill Rd, Menlo Pk, CA 94025 USA; Koc Univ, Dept Mol Biol & Genet, TR-34450 Istanbul, Turkey.
    Gelisio, Luca
    DESY, Ctr Free Electron Laser Sci CFEL, Notkestr 85, D-22607 Hamburg, Germany.
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics. Acad Sci Czech Republ, ELI Beamlines, Inst Phys, CZ-18221 Prague, Czech Republic.
    Hunter, Mark S.
    SLAC Natl Accelerator Lab, 2575 Sand Hill Rd, Menlo Pk, CA 94025 USA.
    Kurta, Ruslan P.
    European XFEL, Holzkoppel 4, D-22869 Schenefeld, Germany.
    Li, Haoyuan
    SLAC Natl Accelerator Lab, 2575 Sand Hill Rd, Menlo Pk, CA 94025 USA; Stanford Univ, Phys Dept, 450 Jane Stanford Way, Stanford, CA 94305 USA.
    McFadden, Matthew
    Arizona State Univ, Biodesign Inst Ctr Immunotherapy Vaccines & Virot, Tempe, AZ 85287 USA.
    Nazari, Reza
    Arizona State Univ, Dept Phys, Tempe, AZ 85287 USA; Arizona State Univ, Sch Engn Matter Transport & Energy, Tempe, AZ 85287 USA.
    Schwander, Peter
    Univ Wisconsin, Milwaukee, WI 53211 USA.
    Teslyuk, Anton
    Natl Res Ctr, Kurchatov Inst, Akad Kurchatova Pl 1, Moscow 123182, Russia; Moscow Inst Phys & Technol, Moscow 141700, Russia.
    Walter, Peter
    SLAC Natl Accelerator Lab, 2575 Sand Hill Rd, Menlo Pk, CA 94025 USA.
    Xavier, P. Lourdu
    DESY, Ctr Free Electron Laser Sci CFEL, Notkestr 85, D-22607 Hamburg, Germany; SLAC Natl Accelerator Lab, 2575 Sand Hill Rd, Menlo Pk, CA 94025 USA; Max Planck Inst Struct & Dynam Matter, Luruper Chaussee 149, D-22761 Hamburg, Germany.
    Yoon, Chun Hong
    SLAC Natl Accelerator Lab, 2575 Sand Hill Rd, Menlo Pk, CA 94025 USA.
    Zaare, Sahba
    Arizona State Univ, Dept Phys, Tempe, AZ 85287 USA; SLAC Natl Accelerator Lab, 2575 Sand Hill Rd, Menlo Pk, CA 94025 USA.
    Ilyin, Viacheslav A.
    Natl Res Ctr, Kurchatov Inst, Akad Kurchatova Pl 1, Moscow 123182, Russia; Moscow Inst Phys & Technol, Moscow 141700, Russia.
    Kirian, Richard A.
    Arizona State Univ, Dept Phys, Tempe, AZ 85287 USA.
    Hogue, Brenda G.
    Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA; Arizona State Univ, Biodesign Inst Ctr Immunotherapy Vaccines & Virot, Tempe, AZ 85287 USA; Arizona State Univ, Ctr Appl Struct Discovery, Biodesign Inst, Tempe, AZ 85287 USA.
    Aquila, Andrew
    SLAC Natl Accelerator Lab, 2575 Sand Hill Rd, Menlo Pk, CA 94025 USA.
    Vartanyants, Ivan A.
    DESY, Notkestr 85, D-22607 Hamburg, Germany; Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Kashirskoe Sh 31, Moscow 115409, Russia.
    An advanced workflow for single-particle imaging with the limited data at an X-ray free-electron laser2020In: IUCrJ, E-ISSN 2052-2525, Vol. 7, p. 1102-1113Article in journal (Refereed)
    Abstract [en]

    An improved analysis for single-particle imaging (SPI) experiments, using the limited data, is presented here. Results are based on a study of bacteriophage PR772 performed at the Atomic, Molecular and Optical Science instrument at the Linac Coherent Light Source as part of the SPI initiative. Existing methods were modified to cope with the shortcomings of the experimental data: inaccessibility of information from half of the detector and a small fraction of single hits. The general SPI analysis workflow was upgraded with the expectation-maximization based classification of diffraction patterns and mode decomposition on the final virus-structure determination step. The presented processing pipeline allowed us to determine the 3D structure of bacteriophage PR772 without symmetry constraints with a spatial resolution of 6.9 nm. The obtained resolution was limited by the scattering intensity during the experiment and the relatively small number of single hits.

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  • 14.
    Ayyer, Kartik
    et al.
    Max Planck Inst Struct & Dynam Matter, D-22761 Hamburg, Germany.;Ctr Free Electron Laser Sci, D-22761 Hamburg, Germany.;Univ Hamburg, Hamburg Ctr Ultrafast Imaging, D-22761 Hamburg, Germany..
    Xavier, P. Lourdu
    Max Planck Inst Struct & Dynam Matter, D-22761 Hamburg, Germany.;Univ Hamburg, Hamburg Ctr Ultrafast Imaging, D-22761 Hamburg, Germany.;Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany..
    Bielecki, Johan
    European XFEL, D-22869 Schenefeld, Germany..
    Shen, Zhou
    Natl Univ Singapore, Ctr Biolmaging Sci, Singapore 117557, Singapore..
    Daurer, Benedikt J.
    Natl Univ Singapore, Ctr Biolmaging Sci, Singapore 117557, Singapore..
    Samanta, Amit K.
    Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany..
    Awel, Salah
    Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany..
    Bean, Richard
    European XFEL, D-22869 Schenefeld, Germany..
    Barty, Anton
    Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany..
    Bergemann, Martin
    European XFEL, D-22869 Schenefeld, Germany..
    Ekeberg, Tomas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Estillore, Armando D.
    Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany..
    Fangohr, Hans
    European XFEL, D-22869 Schenefeld, Germany..
    Giewekemeyer, Klaus
    European XFEL, D-22869 Schenefeld, Germany..
    Hunter, Mark S.
    SLAC Natl Accelerator Lab, Linac Coherent Light Source, Menlo Pk, CA 94025 USA..
    Karnevskiy, Mikhail
    European XFEL, D-22869 Schenefeld, Germany..
    Kirian, Richard A.
    Arizona State Univ, Dept Phys, Tempe, AZ 85287 USA..
    Kirkwood, Henry
    European XFEL, D-22869 Schenefeld, Germany..
    Kim, Yoonhee
    European XFEL, D-22869 Schenefeld, Germany..
    Koliyadu, Jayanath
    European XFEL, D-22869 Schenefeld, Germany..
    Lange, Holger
    Univ Hamburg, Hamburg Ctr Ultrafast Imaging, D-22761 Hamburg, Germany.;Univ Hamburg, Inst Phys Chem, D-20146 Hamburg, Germany..
    Letrun, Romain
    European XFEL, D-22869 Schenefeld, Germany..
    Lübke, Jannik
    Univ Hamburg, Hamburg Ctr Ultrafast Imaging, D-22761 Hamburg, Germany.;Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany.;Univ Hamburg, Dept Phys, D-22761 Hamburg, Germany..
    Michelat, Thomas
    European XFEL, D-22869 Schenefeld, Germany..
    Morgan, Andrew J.
    Univ Melbourne, Phys, Melbourne, Vic, Australia..
    Roth, Nils
    Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany.;Univ Hamburg, Dept Phys, D-22761 Hamburg, Germany..
    Sato, Tokushi
    European XFEL, D-22869 Schenefeld, Germany..
    Sikorski, Margin
    European XFEL, D-22869 Schenefeld, Germany..
    Schulz, Florian
    Univ Hamburg, Inst Phys Chem, D-20146 Hamburg, Germany..
    Spence, John C. H.
    Arizona State Univ, Dept Phys, Tempe, AZ 85287 USA..
    Vagovic, Patrik
    Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany.;European XFEL, D-22869 Schenefeld, Germany..
    Wollweber, Tamme
    Max Planck Inst Struct & Dynam Matter, D-22761 Hamburg, Germany.;Ctr Free Electron Laser Sci, D-22761 Hamburg, Germany.;Univ Hamburg, Hamburg Ctr Ultrafast Imaging, D-22761 Hamburg, Germany..
    Worbs, Lena
    Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany.;Univ Hamburg, Dept Phys, D-22761 Hamburg, Germany..
    Yefanov, Oleksandr
    Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany..
    Zhuang, Yulong
    Max Planck Inst Struct & Dynam Matter, D-22761 Hamburg, Germany.;Ctr Free Electron Laser Sci, D-22761 Hamburg, Germany..
    Maia, Filipe R.N.C.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics. NERSC, Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA..
    Horke, Daniel A.
    Univ Hamburg, Hamburg Ctr Ultrafast Imaging, D-22761 Hamburg, Germany.;Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany.;Radboud Univ Nijmegen, Inst Mol & Mat, NL-6525 AJ Nijmegen, Netherlands..
    Küpper, Jochen
    Univ Hamburg, Hamburg Ctr Ultrafast Imaging, D-22761 Hamburg, Germany.;Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany.;Univ Hamburg, Dept Phys, D-22761 Hamburg, Germany.;Univ Hamburg, Dept Chem, D-20146 Hamburg, Germany..
    Loh, N. Duane
    Natl Univ Singapore, Ctr Biolmaging Sci, Singapore 117557, Singapore.;Natl Univ Singapore, Dept Phys, Singapore 117551, Singapore..
    Mancuso, Adrian P.
    European XFEL, D-22869 Schenefeld, Germany.;La Trobe Univ, La Trobe Inst Mol Sci, Dept Chem & Phys, Melbourne, Vic 3086, Australia..
    Chapman, Henry N.
    Univ Hamburg, Hamburg Ctr Ultrafast Imaging, D-22761 Hamburg, Germany.;Ctr Free Electron LaserSci, DESY, D-22607 Hamburg, Germany.;Univ Hamburg, Dept Phys, D-22761 Hamburg, Germany..
    3D diffractive imaging of nanoparticle ensembles using an x-ray laser2021In: Optica, E-ISSN 2334-2536, Vol. 8, no 1, p. 15-23Article in journal (Refereed)
    Abstract [en]

    Single particle imaging at x-ray free electron lasers (XFELs) has the potential to determine the structure and dynamics of single biomolecules at room temperature. Two major hurdles have prevented this potential from being reached, namely, the collection of sufficient high-quality diffraction patterns and robust computational purification to overcome structural heterogeneity. We report the breaking of both of these barriers using gold nanoparticle test samples, recording around 10 million diffraction patterns at the European XFEL and structurally and orientationally sorting the patterns to obtain better than 3-nm-resolution 3D reconstructions for each of four samples. With these new developments, integrating advancements in x-ray sources, fast-framing detectors, efficient sample delivery, and data analysis algorithms, we illuminate the path towards sub-nano meter biomolecular imaging. The methods developed here can also be extended to characterize ensembles that are inherently diverse to obtain their full structural landscape. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License.

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  • 15.
    Bacic, Luka
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Gaullier, Guillaume
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Mohapatra, Jugal
    Mao, Guanzhong
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Brackmann, Klaus
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Panfilov, Mikhail
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics. Uppsala University, Science for Life Laboratory, SciLifeLab.
    Liszczak, Glen
    Sabantsev, Anton
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Deindl, Sebastian
    Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Asymmetric nucleosome PARylation at DNA breaks mediates directional nucleosome sliding by ALC12024In: Nature Communications, E-ISSN 2041-1723, Vol. 15, no 1, article id 1000Article in journal (Refereed)
    Abstract [en]

    The chromatin remodeler ALC1 is activated by DNA damage-induced poly(ADP-ribose) deposited by PARP1/PARP2 and their co-factor HPF1. ALC1 has emerged as a cancer drug target, but how it is recruited to ADP-ribosylated nucleosomes to affect their positioning near DNA breaks is unknown. Here we find that PARP1/HPF1 preferentially initiates ADP-ribosylation on the histone H2B tail closest to the DNA break. To dissect the consequences of such asymmetry, we generate nucleosomes with a defined ADP-ribosylated H2B tail on one side only. The cryo-electron microscopy structure of ALC1 bound to such an asymmetric nucleosome indicates preferential engagement on one side. Using single-molecule FRET, we demonstrate that this asymmetric recruitment gives rise to directed sliding away from the DNA linker closest to the ADP-ribosylation site. Our data suggest a mechanism by which ALC1 slides nucleosomes away from a DNA break to render it more accessible to repair factors.

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  • 16.
    Baier, Florian
    et al.
    Univ British Columbia, Michael Smith Lab, Vancouver, BC, Canada.
    Hong, Nansook
    Australian Natl Univ, Res Sch Chem, Canberra, ACT, Australia.
    Yang, Gloria
    Univ British Columbia, Michael Smith Lab, Vancouver, BC, Canada.
    Pabis, Anna
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Miton, Charlotte M.
    Univ British Columbia, Michael Smith Lab, Vancouver, BC, Canada.
    Barrozo, Alexandre
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Carr, Paul D.
    Australian Natl Univ, Res Sch Chem, Canberra, ACT, Australia.
    Kamerlin, Shina C. Lynn
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Jackson, Colin J.
    Australian Natl Univ, Res Sch Chem, Canberra, ACT, Australia.
    Tokuriki, Nobuhiko
    Univ British Columbia, Michael Smith Lab, Vancouver, BC, Canada.
    Cryptic genetic variation shapes the adaptive evolutionary potential of enzymes2019In: eLIFE, E-ISSN 2050-084X, Vol. 8, article id e40789Article in journal (Refereed)
    Abstract [en]

    Genetic variation among orthologous proteins can cause cryptic phenotypic properties that only manifest in changing environments. Such variation may impact the evolvability of proteins, but the underlying molecular basis remains unclear. Here, we performed comparative directed evolution of four orthologous metallo-beta-lactamases toward a new function and found that different starting genotypes evolved to distinct evolutionary outcomes. Despite a low initial fitness, one ortholog reached a significantly higher fitness plateau than its counterparts, via increasing catalytic activity. By contrast, the ortholog with the highest initial activity evolved to a less-optimal and phenotypically distinct outcome through changes in expression, oligomerization and activity. We show how cryptic molecular properties and conformational variation of active site residues in the initial genotypes cause epistasis, that could lead to distinct evolutionary outcomes. Our work highlights the importance of understanding the molecular details that connect genetic variation to protein function to improve the prediction of protein evolution.

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  • 17. Bajt, Sasa
    et al.
    Chapman, Henry N
    Spiller, Eberhard A
    Alameda, Jennifer B
    Woods, Bruce W
    Frank, Matthias
    Bogan, Michael J
    Barty, Anton
    Boutet, Sebastien
    Marchesini, Stefano
    Hau-Riege, Stefan P
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Shapiro, David
    Camera for coherent diffractive imaging and holography with a soft-x-ray free-electron laser2008In: Applied Optics, ISSN 1559-128X, E-ISSN 2155-3165, Vol. 47, no 10, p. 1673-1683Article in journal (Refereed)
    Abstract [en]

    We describe a camera to record coherent scattering patterns with a soft-x-ray free-electron laser (FEL). The camera consists of a laterally graded multilayer mirror, which reflects the diffraction pattern onto a CCD detector. The mirror acts as a bandpass filter for both the wavelength and the angle, which isolates the desired scattering pattern from nonsample scattering or incoherent emission from the sample. The mirror also solves the particular problem of the extreme intensity of the FEL pulses, which are focused to greater than 10(14) W/cm2. The strong undiffracted pulse passes through a hole in the mirror and propagates onto a beam dump at a distance behind the instrument rather than interacting with a beam stop placed near the CCD. The camera concept is extendable for the full range of the fundamental wavelength of the free electron laser in Hamburg (FLASH) FEL (i.e., between 6 and 60 nm) and into the water window. We have fabricated and tested various multilayer mirrors for wavelengths of 32, 16, 13.5, and 4.5 nm. At the shorter wavelengths mirror roughness must be minimized to reduce scattering from the mirror. We have recorded over 30,000 diffraction patterns at the FLASH FEL with no observable mirror damage or degradation of performance.

  • 18. Barty, Anton
    et al.
    Caleman, Carl
    Aquila, Andrew
    Timneanu, Nicusor
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Lomb, Lukas
    White, Thomas A.
    Andreasson, Jakob
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Arnlund, David
    Bajt, Sasa
    Barends, Thomas R. M.
    Barthelmess, Miriam
    Bogan, Michael J.
    Bostedt, Christoph
    Bozek, John D.
    Coffee, Ryan
    Coppola, Nicola
    Davidsson, Jan
    Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - Ångström, Physical Chemistry.
    DePonte, Daniel P.
    Doak, R. Bruce
    Ekeberg, Tomas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Elser, Veit
    Epp, Sascha W.
    Erk, Benjamin
    Fleckenstein, Holger
    Foucar, Lutz
    Fromme, Petra
    Graafsma, Heinz
    Gumprecht, Lars
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hampton, Christina Y.
    Hartmann, Robert
    Hartmann, Andreas
    Hauser, Guenter
    Hirsemann, Helmut
    Holl, Peter
    Hunter, Mark S.
    Johansson, Linda
    Kassemeyer, Stephan
    Kimmel, Nils
    Kirian, Richard A.
    Liang, Mengning
    Maia, Filipe R. N. C.
    Malmerberg, Erik
    Marchesini, Stefano
    Martin, Andrew V.
    Nass, Karol
    Neutze, Richard
    Reich, Christian
    Rolles, Daniel
    Rudek, Benedikt
    Rudenko, Artem
    Scott, Howard
    Schlichting, Ilme
    Schulz, Joachim
    Seibert, M. Marvin
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Shoeman, Robert L.
    Sierra, Raymond G.
    Soltau, Heike
    Spence, John C. H.
    Stellato, Francesco
    Stern, Stephan
    Strueder, Lothar
    Ullrich, Joachim
    Wang, X.
    Weidenspointner, Georg
    Weierstall, Uwe
    Wunderer, Cornelia B.
    Chapman, Henry N.
    Self-terminating diffraction gates femtosecond X-ray nanocrystallography measurements2012In: Nature Photonics, ISSN 1749-4885, E-ISSN 1749-4893, Vol. 6, no 1, p. 35-40Article in journal (Refereed)
    Abstract [en]

    X-ray free-electron lasers have enabled new approaches to the structural determination of protein crystals that are too small or radiation-sensitive for conventional analysis(1). For sufficiently short pulses, diffraction is collected before significant changes occur to the sample, and it has been predicted that pulses as short as 10 fs may be required to acquire atomic-resolution structural information(1-4). Here, we describe a mechanism unique to ultrafast, ultra-intense X-ray experiments that allows structural information to be collected from crystalline samples using high radiation doses without the requirement for the pulse to terminate before the onset of sample damage. Instead, the diffracted X-rays are gated by a rapid loss of crystalline periodicity, producing apparent pulse lengths significantly shorter than the duration of the incident pulse. The shortest apparent pulse lengths occur at the highest resolution, and our measurements indicate that current X-ray free-electron laser technology(5) should enable structural determination from submicrometre protein crystals with atomic resolution.

  • 19. Barty, Anton
    et al.
    Kirian, Richard A.
    Maia, Filipe R. N. C.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hantke, Max
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Yoon, Chun Hong
    White, Thomas A.
    Chapman, Henry
    Cheetah: software for high-throughput reduction and analysis of serial femtosecond X-ray diffraction data2014In: Journal of applied crystallography, ISSN 0021-8898, E-ISSN 1600-5767, Vol. 47, p. 1118-1131Article in journal (Refereed)
    Abstract [en]

    The emerging technique of serial X-ray diffraction, in which diffraction data are collected from samples flowing across a pulsed X-ray source at repetition rates of 100 Hz or higher, has necessitated the development of new software in order to handle the large data volumes produced. Sorting of data according to different criteria and rapid filtering of events to retain only diffraction patterns of interest results in significant reductions in data volume, thereby simplifying subsequent data analysis and management tasks. Meanwhile the generation of reduced data in the form of virtual powder patterns, radial stacks, histograms and other meta data creates data set summaries for analysis and overall experiment evaluation. Rapid data reduction early in the analysis pipeline is proving to be an essential first step in serial imaging experiments, prompting the authors to make the tool described in this article available to the general community. Originally developed for experiments at X-ray free-electron lasers, the software is based on a modular facility-independent library to promote portability between different experiments and is available under version 3 or later of the GNU General Public License.

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  • 20.
    Behzadi, Hadi
    et al.
    Teheran.
    Esrafili, Mehdi D
    Teheran.
    van der Spoel, David
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hadipour, Nasser L
    Teheran.
    Parsafar, Gholamabbas
    Teheran.
    A theoretical study of repeating sequence in HRP II: a combination of molecular dynamics simulations and (17)O quadrupole coupling tensors2008In: Biophysical Chemistry, ISSN 0301-4622, E-ISSN 1873-4200, Vol. 137, no 2-3, p. 76-80Article in journal (Refereed)
    Abstract [en]

    Histidine rich protein II derived peptide (HRP II 169-182) was investigated by molecular dynamics, MD, simulation and (17)O electric field gradient, EFG, tensor calculations. MD simulation was performed in water at 300 K with alpha-helix initial structure. It was found that peptide loses its initial alpha-helix structure rapidly and is converted to random coil and bent secondary structures. To understand how peptide structure affects EFG tensors, initial structure and final conformations resulting from MD simulations were used to calculate (17)O EFG tensors of backbone carbonyl oxygens. Calculations were performed using B3LYP method and 6-31+G basis set. Calculated (17)O EFG tensors were used to evaluate quadrupole coupling constants, QCC, and asymmetry parameters, eta(Q). Difference between the calculated QCC and eta(Q) values revealed how hydrogen-bonding interactions affect EFG tensors at the sites of each oxygen nucleus.

  • 21.
    Bellisario, Alfredo
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Deep learning assisted phase retrieval and computational methods in coherent diffractive imaging2024Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    In recent years, advances in Artificial Intelligence and experimental techniques have revolutionized the field of structural biology. X-ray crystallography and Cryo-EM have provided unprecedented insights into the structures of biomolecules, while the unexpected success of AlphaFold has opened up new avenues of investigation. However, studying the dynamics of proteins at high resolution remains a significant obstacle, especially for fast dynamics. Single-particle imaging (SPI) or Flash X-ray Imaging (FXI) is an emerging technique that may enable the mapping of the conformational landscape of biological molecules at high resolution and fast time scale. This thesis discusses the potential of SPI/FXI, its challenges, recent experimental successes, and the advancements driving its development. In particular, machine learning and neural networks could play a vital role in fostering data analysis and improving SPI/FXI data processing. In Paper I, we discuss the problem of noise and detector masks in collecting FXI data. I simulated a dataset of diffraction patterns and used it to train a Convolutional Neural Network (U-Net) to restore data by denoising and filling in detector masks. As a natural continuation of this work, I trained another machine learning model in Paper II to estimate 2D protein densities from diffraction intensities. In the final chapter, corresponding to Paper III, we discuss another experimental method, time-resolved Small Angle X-ray Scattering (SAXS), and a new algorithm recently developed for SAXS data, the DENsity from Solution Scattering (DENSS) algorithm. I discuss the potential of DENSS in time-resolved SAXS and its application for structural fitting of AsLOV2, a Light-Oxygen-Voltage (LOV) protein domain from Avena sativa.

    List of papers
    1. Noise reduction and mask removal neural network for X-ray single-particle imaging
    Open this publication in new window or tab >>Noise reduction and mask removal neural network for X-ray single-particle imaging
    2022 (English)In: Journal of applied crystallography, ISSN 0021-8898, E-ISSN 1600-5767, Vol. 55, p. 122-132Article in journal (Refereed) Published
    Abstract [en]

    Free-electron lasers could enable X-ray imaging of single biological macro-molecules and the study of protein dynamics, paving the way for a powerful new imaging tool in structural biology, but a low signal-to-noise ratio and missing regions in the detectors, colloquially termed 'masks', affect data collection and hamper real-time evaluation of experimental data. In this article, the challenges posed by noise and masks are tackled by introducing a neural network pipeline that aims to restore diffraction intensities. For training and testing of the model, a data set of diffraction patterns was simulated from 10 900 different proteins with molecular weights within the range of 10-100 kDa and collected at a photon energy of 8 keV. The method is compared with a simple low-pass filtering algorithm based on autocorrelation constraints. The results show an improvement in the mean-squared error of roughly two orders of magnitude in the presence of masks compared with the noisy data. The algorithm was also tested at increasing mask width, leading to the conclusion that demasking can achieve good results when the mask is smaller than half of the central speckle of the pattern. The results highlight the competitiveness of this model for data processing and the feasibility of restoring diffraction intensities from unknown structures in real time using deep learning methods. Finally, an example is shown of this preprocessing making orientation recovery more reliable, especially for data sets containing very few patterns, using the expansion-maximization-compression algorithm.

    Place, publisher, year, edition, pages
    International Union Of CrystallographyInternational Union of Crystallography (IUCr), 2022
    Keywords
    coherent X-ray diffractive imaging (CXDI), free-electron lasers, diffract-then-destroy, protein structures, single particles, XFELs, imaging
    National Category
    Atom and Molecular Physics and Optics
    Identifiers
    urn:nbn:se:uu:diva-467393 (URN)10.1107/S1600576721012371 (DOI)000749998900013 ()35145358 (PubMedID)
    Funder
    Swedish Foundation for Strategic Research , ITM17-0455Swedish Foundation for Strategic Research , 2017-05336Swedish Foundation for Strategic Research , 2018-00234
    Available from: 2022-02-14 Created: 2022-02-14 Last updated: 2024-12-03Bibliographically approved
    2. Deep learning phase retrieval in x-ray single-particle imaging for biological macromolecules
    Open this publication in new window or tab >>Deep learning phase retrieval in x-ray single-particle imaging for biological macromolecules
    2024 (English)In: Machine Learning, ISSN 0885-6125, E-ISSN 1573-0565, Vol. 5Article in journal (Refereed) Published
    Abstract [en]

    Phase retrieval is an important optimization problem that occurs, for example, in the analysis of coherent diffraction patterns from isolated proteins. All iterative algorithms employed for phase retrieval in this context require some a priori knowledge of the object, usually in the form of a support that describes the extent of the particle. Phase retrieval is a time-consuming task that can often fail, particularly if the support is too loose or of bad quality. This paper presents a neural network that can produce low-resolution estimates of the phased object in a fraction of the time it takes for a full phase retrieval. It can also successfully be used as support for further analysis. Our network is trained on simulated data from biological macromolecules and is thus tailored to the type of data seen in a typical CDI experiment. Other approaches to support finding require very accurate data without missing regions or the full phase-retrieval algorithm to be run for a long time. Our network could speed up offline analysis and provide real-time feedback during data collection.

    Place, publisher, year, edition, pages
    Institute of Physics (IOP), 2024
    Keywords
    neural networks, coherent X-ray diffractive imaging (CXDI), phase retrieval algorithm
    National Category
    Atom and Molecular Physics and Optics
    Identifiers
    urn:nbn:se:uu:diva-526434 (URN)10.1088/2632-2153/ad7f22 (DOI)
    Available from: 2024-04-10 Created: 2024-04-10 Last updated: 2024-11-04Bibliographically approved
    3. Microsecond time-resolved X-ray scattering by utilizing MHz repetition rate at second-generation XFELs
    Open this publication in new window or tab >>Microsecond time-resolved X-ray scattering by utilizing MHz repetition rate at second-generation XFELs
    Show others...
    2024 (English)In: Nature Methods, ISSN 1548-7091, E-ISSN 1548-7105, Vol. 21, no 9, p. 1608-1611Article in journal (Refereed) Published
    Abstract [en]

    Detecting microsecond structural perturbations in biomolecules has wide relevance inbiology, chemistry, and medicine. Here, we show how MHz repetition rates at X-ray freeelectron lasers (XFELs) can be used to produce microsecond time-series of proteinscattering with exceptionally low noise levels of 0.001%. We demonstrate the approach byderiving new mechanistic insight into Jɑ helix unfolding of a Light-Oxygen-Voltage (LOV)photosensory domain. This time-resolved acquisition strategy is easy to implement andwidely applicable for direct observation of structural dynamics of many biochemicalprocesses. 

    Place, publisher, year, edition, pages
    Springer Nature, 2024
    Keywords
    free-electron lasers, time-resolved studies, SAXS, WAXS, sample delivery, XFELs
    National Category
    Biophysics
    Identifiers
    urn:nbn:se:uu:diva-526526 (URN)10.1038/s41592-024-02344-0 (DOI)001262907600003 ()38969722 (PubMedID)
    Note

    These authors contributed equally: Patrick E. Konold, Leonardo Monrroy.

    Available from: 2024-04-11 Created: 2024-04-11 Last updated: 2024-11-12Bibliographically approved
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  • 22.
    Bellisario, Alfredo
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Ekeberg, Tomas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Deep learning phase retrieval in x-ray single-particle imaging for biological macromolecules2024In: Machine Learning, ISSN 0885-6125, E-ISSN 1573-0565, Vol. 5Article in journal (Refereed)
    Abstract [en]

    Phase retrieval is an important optimization problem that occurs, for example, in the analysis of coherent diffraction patterns from isolated proteins. All iterative algorithms employed for phase retrieval in this context require some a priori knowledge of the object, usually in the form of a support that describes the extent of the particle. Phase retrieval is a time-consuming task that can often fail, particularly if the support is too loose or of bad quality. This paper presents a neural network that can produce low-resolution estimates of the phased object in a fraction of the time it takes for a full phase retrieval. It can also successfully be used as support for further analysis. Our network is trained on simulated data from biological macromolecules and is thus tailored to the type of data seen in a typical CDI experiment. Other approaches to support finding require very accurate data without missing regions or the full phase-retrieval algorithm to be run for a long time. Our network could speed up offline analysis and provide real-time feedback during data collection.

    Download full text (pdf)
    fulltext
  • 23.
    Bellisario, Alfredo
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Maia, Filipe
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Ekeberg, Tomas
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Noise reduction and mask removal neural network for X-ray single-particle imaging2022In: Journal of applied crystallography, ISSN 0021-8898, E-ISSN 1600-5767, Vol. 55, p. 122-132Article in journal (Refereed)
    Abstract [en]

    Free-electron lasers could enable X-ray imaging of single biological macro-molecules and the study of protein dynamics, paving the way for a powerful new imaging tool in structural biology, but a low signal-to-noise ratio and missing regions in the detectors, colloquially termed 'masks', affect data collection and hamper real-time evaluation of experimental data. In this article, the challenges posed by noise and masks are tackled by introducing a neural network pipeline that aims to restore diffraction intensities. For training and testing of the model, a data set of diffraction patterns was simulated from 10 900 different proteins with molecular weights within the range of 10-100 kDa and collected at a photon energy of 8 keV. The method is compared with a simple low-pass filtering algorithm based on autocorrelation constraints. The results show an improvement in the mean-squared error of roughly two orders of magnitude in the presence of masks compared with the noisy data. The algorithm was also tested at increasing mask width, leading to the conclusion that demasking can achieve good results when the mask is smaller than half of the central speckle of the pattern. The results highlight the competitiveness of this model for data processing and the feasibility of restoring diffraction intensities from unknown structures in real time using deep learning methods. Finally, an example is shown of this preprocessing making orientation recovery more reliable, especially for data sets containing very few patterns, using the expansion-maximization-compression algorithm.

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  • 24.
    Bergh, Magnus
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Huldt, Gösta
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Timneanu, Nicusor
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Maia, Filipe R. N. C.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Feasibility of imaging living cells at subnanometer resolutions by ultrafast X-ray diffraction2008In: Quarterly reviews of biophysics (Print), ISSN 0033-5835, E-ISSN 1469-8994, Vol. 41, no 3-4, p. 181-204Article, review/survey (Refereed)
    Abstract [en]

    Detailed structural investigations on living cells are problematic because existing structural methods cannot reach high resolutions on non-reproducible objects. Illumination with an ultrashort and extremely bright X-ray pulse can outrun key damage processes over a very short period. This can be exploited to extend the diffraction signal to the highest possible resolution in flash diffraction experiments. Here we present an analysis or the interaction of a very intense and very short X-ray pulse with a living cell, using a non-equilibrium population kinetics plasma code with radiation transfer. Each element in the evolving plasma is modeled by numerous states to monitor changes in the atomic populations as a function of pulse length, wavelength, and fluence. The model treats photoionization, impact ionization, Auger decay, recombination, and inverse bremsstrahlung by solving rate equations in a self-consistent manner and describes hydrodynamic expansion through the ion sound speed, The results show that subnanometer resolutions could be reached on micron-sized cells in a diffraction-limited geometry at wavelengths between 0.75 and 1.5 nm and at fluences of 10(11)-10(12) photonS mu M (2) in less than 10 fs. Subnanometer resolutions could also be achieved with harder X-rays at higher fluences. We discuss experimental and computational strategies to obtain depth information about the object in flash diffraction experiments.

  • 25.
    Bergh, Magnus
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Timneanu, Nicusor
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hau-Riege, S. P.
    Scott, H. A.
    Interaction of Ultrashort X-ray Pulses with B4C, SiC and Si2008In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics: Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, ISSN 1063-651X, E-ISSN 1095-3787, Vol. 77, no 2, p. 026404-1-026404-8Article in journal (Refereed)
    Abstract [en]

    The interaction of 32.5 and 6 nm ultrashort x-ray pulses with the solid materials B4C, SiC, and Si is simulated with a nonlocal thermodynamic equilibrium radiation transfer code. We study the ionization dynamics as a function of depth in the material and modifications of the opacity during irradiation, and estimate the crater depth. Furthermore, we compare the estimated crater depth with experimental data, for fluences up to 2.2 J/cm(2). Our results show that, at 32.5 nm irradiation, the opacity changes by less than a factor of 2 for B4C and Si and by a factor of 3 for SiC, for fluences up to 200 J/cm(2). At a laser wavelength of 6 nm, the model predicts a dramatic decrease in opacity due to the weak inverse bremsstrahlung, increasing the crater depth for high fluences.

  • 26.
    Bergh, Magnus
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
    Timneanu, Nicusor
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    van der Spoel, David
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Model for the Dynamics of a Water Cluster in an X-ray Free Electron Laser Beam2004In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, ISSN 1539-3755, E-ISSN 1550-2376, Vol. 70, no 5:1, p. 051904-Article in journal (Refereed)
    Abstract [en]

    A microscopic sample placed into a focused x-ray free electron laser beam will explode due to strong ionization on a femtosecond time scale. The dynamics of this Coulomb explosion has been modeled by Neutze et al. [Nature (London) 406, 752 (2000)] for a protein, using computer simulations. The results suggest that by using ultrashort exposures, structural information may be collected before the sample is destroyed due to radiation damage. In this paper a method is presented to include the effect of screening by free electrons in the sample in a molecular dynamics simulation. The electrons are approximated by a classical gas, and the electron distribution is calculated iteratively from the Poisson-Boltzmann equation. Test simulations of water clusters reveal the details of the explosion dynamics, as well as the evolution of the free electron gas during the beam exposure. We find that inclusion of the electron gas in the model slows down the Coulomb explosion. The hydrogen atoms leave the sample faster than the oxygen atoms, leading to a double layer of positive ions. A considerable electron density is located between these two layers. The fact that the hydrogens are found to explode much faster than the oxygens means that the diffracting part of the sample stays intact somewhat longer than the sample as a whole.

  • 27.
    Beyerlein, Kenneth
    et al.
    Center for Free-Electron Laser Science, Deutsches Elektronen-Synchrotron, Hamburg, Germany.
    Jönsson, Olof
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Molecular and Condensed Matter Physics.
    Alonso-Mori, Roberto
    SLAC National Accelerator Laboratory, USA.
    Aquila, Andrew
    SLAC National Accelerator Laboratory, USA.
    Bajt, Sasa
    Photon Science, DESY, Hamburg, Germany.
    Barty, Anton
    Center for Free-Electron Laser Science, Deutsches Elektronen-Synchrotron, Hamburg, Germany.
    Bean, Richard
    Center for Free-Electron Laser Science, Deutsches Elektronen-Synchrotron, Hamburg, Germany.
    Koglin, Jason E.
    SLAC National Accelerator Laboratory, USA.
    Messerschmidt, Marc
    SLAC National Accelerator Laboratory, USA.
    Ragazzon, Davide
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Molecular and Condensed Matter Physics.
    Soklaras, Dimosthenis
    SLAC National Accelerator Laboratory, USA.
    Williams, Garth J.
    SLAC National Accelerator Laboratory, USA.
    Hau-Riege, Stefan
    Lawrence Livermore National Laboratory, USA.
    Boutet, Sebastien
    SLAC National Accelerator Laboratory, USA.
    Chapman, Henry N.
    Center for Free-Electron Laser Science,Deutsches Elektronen-Synchrotron, Hamburg, Germany; Department of Physics, University of Hamburg, Hamburg, Germany; Centre for Ultrafast Imaging, University of Hamburg, Hamburg, Germany .
    Timneanu, Nicusor
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Molecular and Condensed Matter Physics. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Caleman, Carl
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Molecular and Condensed Matter Physics. Center for Free-Electron Laser Science,Deutsches Elektronen-Synchrotron, Hamburg, Germany.
    Ultrafast non-thermal heating of water initiated by an X-ray laser2018In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 115, no 22, p. 5652-5657Article in journal (Refereed)
    Abstract [en]

    X-ray Free-Electron Lasers have opened the door to a new era in structural biology, enabling imaging of biomolecules and dynamics that were impossible to access with conventional methods. A vast majority of imaging experiments, including Serial Femtosecond Crystallography, use a liquid jet to deliver the sample into the interaction region. We have observed structural changes in the carrying water during X-ray exposure, showing how it transforms from the liquid phase to a plasma. This ultrafast phase transition observed in water provides evidence that any biological structure exposed to these X-ray pulses is destroyed during the X-ray exposure.The bright ultrafast pulses of X-ray Free-Electron Lasers allow investigation into the structure of matter under extreme conditions. We have used single pulses to ionize and probe water as it undergoes a phase transition from liquid to plasma. We report changes in the structure of liquid water on a femtosecond time scale when irradiated by single 6.86 keV X-ray pulses of more than 106 J/cm2. These observations are supported by simulations based on molecular dynamics and plasma dynamics of a water system that is rapidly ionized and driven out of equilibrium. This exotic ionic and disordered state with the density of a liquid is suggested to be structurally different from a neutral thermally disordered state.

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  • 28.
    Bielecki, Johan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hantke, Max F.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Daurer, Benedikt J.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Reddy, Hemanth K. N.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Hasse, Dirk
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Larsson, Daniel S. D.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Gunn, Laura H.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Svenda, Martin
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Munke, Anna
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Sellberg, Jonas A.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Flueckiger, Leonie
    Pietrini, Alberto
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Nettelblad, Carl
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Lundholm, Ida
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Carlsson, Gunilla
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Okamoto, Kenta
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Timneanu, Nicusor
    Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Molecular and Condensed Matter Physics.
    Westphal, Daniel
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Kulyk, Olena
    Higashiura, Akifumi
    van der Schot, Gijs
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Loh, Ne-Te Duane
    Wysong, Taylor E.
    Bostedt, Christoph
    Gorkhover, Tais
    Iwan, Bianca
    Seibert, M. Marvin
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Osipov, Timur
    Walter, Peter
    Hart, Philip
    Bucher, Maximilian
    Ulmer, Anatoli
    Ray, Dipanwita
    Carini, Gabriella
    Ferguson, Ken R.
    Andersson, Inger
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Andreasson, Jakob
    Hajdu, Janos
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Maia, Filipe R. N. C.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Electrospray sample injection for single-particle imaging with x-ray lasers2019In: Science Advances, E-ISSN 2375-2548, Vol. 5, no 5, article id eaav8801Article in journal (Refereed)
  • 29.
    Bielecki, Johan
    et al.
    European XFEL, Holzkoppel 4, D-22869 Schenefeld, Germany..
    Maia, Filipe R. N. C.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Mancuso, Adrian P.
    European XFEL, Holzkoppel 4, D-22869 Schenefeld, Germany.;La Trobe Univ, La Trobe Inst Mol Sci, Dept Chem & Phys, Melbourne, Vic 3086, Australia..
    Perspectives on single particle imaging with x rays at the advent of high repetition rate x-ray free electron laser sources2020In: Structural Dynamics, E-ISSN 2329-7778, Vol. 7, no 4, article id 040901Article in journal (Refereed)
    Abstract [en]

    X-ray free electron lasers (XFELs) now routinely produce millijoule level pulses of x-ray photons with tens of femtoseconds duration. Such x-ray intensities gave rise to the idea that weakly scattering particles-perhaps single biomolecules or viruses-could be investigated free of radiation damage. Here, we examine elements from the past decade of so-called single particle imaging with hard XFELs. We look at the progress made to date and identify some future possible directions for the field. In particular, we summarize the presently achieved resolutions as well as identifying the bottlenecks and enabling technologies to future resolution improvement, which in turn enables application to samples of scientific interest.

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    FULLTEXT01
  • 30.
    Bielecki, Johan
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.
    Parker, Stewart F.
    Ekanayake, Dharshani
    Rahman, Seikh M. H.
    Borjesson, Lars
    Karlsson, Maths
    Short-range structure of the brownmillerite-type oxide Ba2In2O5 and its hydrated proton-conducting form BaInO3H2014In: Journal of Materials Chemistry A, ISSN 2050-7488, Vol. 2, no 40, p. 16915-16924Article in journal (Refereed)
    Abstract [en]

    The vibrational spectra and short-range structure of the brownmillerite-type oxide Ba2In2O6 and its hydrated form BaInO3H, are investigated by means of Raman, infrared, and inelastic neutron scattering spectroscopies together with density functional theory calculations. For Ba2In2O6, which may be described as an oxygen deficient perovskite structure with alternating layers of InO6 octahedra and InO4 tetrahedra, the results affirm a short-range structure of Icmm symmetry, which is characterized by random orientation of successive layers of InO4 tetrahedra. For the hydrated, proton conducting, form, BaInO3H, the results suggest that the short-range structure is more complicated than the P4/mbm symmetry that has been proposed previously on the basis of neutron diffraction, but rather suggest a proton configuration close to the lowest energy structure predicted by Martinez et al. [J.-R. Martinez, C. E. Moen, S. Stoelen, N. L. Allan, J. Solid State Chem., 180, 3388, (2007)]. An intense Raman active vibration at 150 cm(-1) is identified as a unique fingerprint of this proton configuration.

  • 31.
    Bielecki, Johan