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  • Result 1-10 of 190
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1.
  • Sahin, Cagla, et al. (author)
  • Structural Basis for Dityrosine-Mediated Inhibition of α-Synuclein Fibrillization
  • 2022
  • In: Journal of the American Chemical Society. - : American Chemical Society (ACS). - 0002-7863 .- 1520-5126. ; 144:27, s. 11949-11954
  • Journal article (peer-reviewed)abstract
    • α-Synuclein (α-Syn) is an intrinsically disordered protein which self-assembles into highly organized β-sheet structures that accumulate in plaques in brains of Parkinson’s disease patients. Oxidative stress influences α-Syn structure and self-assembly; however, the basis for this remains unclear. Here we characterize the chemical and physical effects of mild oxidation on monomeric α-Syn and its aggregation. Using a combination of biophysical methods, small-angle X-ray scattering, and native ion mobility mass spectrometry, we find that oxidation leads to formation of intramolecular dityrosine cross-linkages and a compaction of the α-Syn monomer by a factor of √2. Oxidation-induced compaction is shown to inhibit ordered self-assembly and amyloid formation by steric hindrance, suggesting an important role of mild oxidation in preventing amyloid formation.
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2.
  • Abramsson, Mia L, et al. (author)
  • Charge engineering reveals the roles of ionizable side chains in electrospray ionization mass spectrometry
  • Other publication (other academic/artistic)abstract
    • The role of ionizable side chains in the electrospray ionization mass spectrometry of intact proteins remains hotly debated but has not been conclusively addressed because multiple chargeable sites are present in virtually all proteins. Using engineered soluble proteins, we show that ionizable side chains are completely dispensable for charging under native conditions, but if present, they are preferential protonation sites. The absence of ionizable side chains results in identical charge state distributions under native-like and denaturing conditions, whilst co-existing conformers can be distinguished using ion mobility separation. An excess of ionizable side chains, on the other hand, effectively modulates protein ion stability. We conclude that the sum of charges is governed solely by Coulombic terms, while their locations affect the stability of the protein in the gas phase.
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3.
  • Abramsson, Mia L., et al. (author)
  • Charge Engineering Reveals the Roles of Ionizable Side Chains in Electrospray Ionization Mass Spectrometry
  • 2021
  • In: JACS Au. - : American Chemical Society (ACS). - 2691-3704. ; 1:12, s. 2385-2393
  • Journal article (peer-reviewed)abstract
    • In solution, the charge of a protein is intricately linked to its stability, but electrospray ionization distorts this connection, potentially limiting the ability of native mass spectrometry to inform about protein structure and dynamics. How the behavior of intact proteins in the gas phase depends on the presence and distribution of ionizable surface residues has been difficult to answer because multiple chargeable sites are present in virtually all proteins. Turning to protein engineering, we show that ionizable side chains are completely dispensable for charging under native conditions, but if present, they are preferential protonation sites. The absence of ionizable side chains results in identical charge state distributions under native-like and denaturing conditions, while coexisting conformers can be distinguished using ion mobility separation. An excess of ionizable side chains, on the other hand, effectively modulates protein ion stability. In fact, moving a single ionizable group can dramatically alter the gas-phase conformation of a protein ion. We conclude that although the sum of the charges is governed solely by Coulombic terms, their locations affect the stability of the protein in the gas phase.
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4.
  • Abu Hamdeh, Sami, et al. (author)
  • Rapid amyloid-β oligomer and protofibril accumulation in traumatic brain injury
  • 2018
  • In: Brain Pathology. - : Wiley. - 1015-6305 .- 1750-3639. ; 28:4, s. 451-462
  • Journal article (peer-reviewed)abstract
    • Deposition of amyloid-β (Aβ) is central to Alzheimer's disease (AD) pathogenesis and associated with progressive neurodegeneration in traumatic brain injury (TBI). We analyzed predisposing factors for Aβ deposition including monomeric Aβ40, Aβ42 and Aβ oligomers/protofibrils, Aβ species with pronounced neurotoxic properties, following human TBI. Highly selective ELISAs were used to analyze N-terminally intact and truncated Aβ40 and Aβ42, as well as Aβ oligomers/protofibrils, in human brain tissue, surgically resected from severe TBI patients (n = 12; mean age 49.5 ± 19 years) due to life-threatening brain swelling/hemorrhage within one week post-injury. The TBI tissues were compared to post-mortem AD brains (n = 5), to post-mortem tissue of neurologically intact (NI) subjects (n = 4) and to cortical biopsies obtained at surgery for idiopathic normal pressure hydrocephalus patients (iNPH; n = 4). The levels of Aβ40 and Aβ42 were not elevated by TBI. The levels of Aβ oligomers/protofibrils in TBI were similar to those in the significantly older AD patients and increased compared to NI and iNPH controls (P < 0.05). Moreover, TBI patients carrying the AD risk genotype Apolipoprotein E epsilon3/4 (APOE ε3/4; n = 4) had increased levels of Aβ oligomers/protofibrils (P < 0.05) and of both N-terminally intact and truncated Aβ42 (P < 0.05) compared to APOE ε3/4-negative TBI patients (n = 8). Neuropathological analysis showed insoluble Aβ aggregates (commonly referred to as Aβ plaques) in three TBI patients, all of whom were APOE ε3/4 carriers. We conclude that soluble intermediary Aβ aggregates form rapidly after TBI, especially among APOE ε3/4 carriers. Further research is needed to determine whether these aggregates aggravate the clinical short- and long-term outcome in TBI.
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5.
  • Alcayde, B., et al. (author)
  • Fatigue behaviour of glass-fibre-reinforced polymers : Numerical and experimental characterisation
  • 2024
  • In: Composite structures. - : Elsevier Ltd. - 0263-8223 .- 1879-1085. ; 337
  • Journal article (peer-reviewed)abstract
    • This work presents a novel numerical methodology to model the degradation and failure of composite materials like GFRP submitted to monotonic and high cycle fatigue loads. This is done by using the Serial–Parallel Rule of Mixtures homogenisation technique together with a proper mechanical characterisation of the constituent materials of the composite. This paper also proposes an efficient way of estimating the fatigue properties of each of the material constituents (fibre or matrix) to comply with the experimental results obtained at composite level; this enables to estimate the fatigue strength of any stacking/orientation of fibres with only one mechanical characterisation of the material properties. A comparison of the results obtained analytically and experimentally for GFRP is presented. The results show the applicability and accuracy of the proposed methodology in this field.
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6.
  • Allison, Timothy M., et al. (author)
  • Complementing machine learning‐based structure predictions with native mass spectrometry
  • 2022
  • In: Protein Science. - : John Wiley & Sons. - 0961-8368 .- 1469-896X. ; 31:6
  • Journal article (peer-reviewed)abstract
    • The advent of machine learning-based structure prediction algorithms such as AlphaFold2 (AF2) and RoseTTa Fold have moved the generation of accurate structural models for the entire cellular protein machinery into the reach of the scientific community. However, structure predictions of protein complexes are based on user-provided input and may require experimental validation. Mass spectrometry (MS) is a versatile, time-effective tool that provides information on post-translational modifications, ligand interactions, conformational changes, and higher-order oligomerization. Using three protein systems, we show that native MS experiments can uncover structural features of ligand interactions, homology models, and point mutations that are undetectable by AF2 alone. We conclude that machine learning can be complemented with MS to yield more accurate structural models on a small and large scale.
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7.
  • Allison, Timothy M., et al. (author)
  • Computational Strategies and Challenges for Using Native Ion Mobility Mass Spectrometry in Biophysics and Structural Biology
  • 2020
  • In: Analytical Chemistry. - : American Chemical Society (ACS). - 0003-2700 .- 1520-6882. ; 92:16, s. 10872-10880
  • Journal article (peer-reviewed)abstract
    • Native mass spectrometry (MS) allows the interrogation of structural aspects of macromolecules in the gas phase, under the premise of having initially maintained their solution-phase noncovalent interactions intact. In the more than 25 years since the first reports, the utility of native MS has become well established in the structural biology community. The experimental and technological advances during this time have been rapid, resulting in dramatic increases in sensitivity, mass range, resolution, and complexity of possible experiments. As experimental methods have improved, there have been accompanying developments in computational approaches for analyzing and exploiting the profusion of MS data in a structural and biophysical context. In this perspective, we consider the computational strategies currently being employed by the community, aspects of best practice, and the challenges that remain to be addressed. Our perspective is based on discussions within the European Cooperation in Science and Technology Action on Native Mass Spectrometry and Related Methods for Structural Biology (EU COST Action BM1403), which involved participants from across Europe and North America. It is intended not as an in-depth review but instead to provide an accessible introduction to and overview of the topic—to inform newcomers to the field and stimulate discussions in the community about addressing existing challenges. Our complementary perspective (http://dx.doi.org/10.1021/acs.analchem.9b05792) focuses on software tools available to help researchers tackle some of the challenges enumerated here.
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8.
  • Allison, Timothy M., et al. (author)
  • Software Requirements for the Analysis and Interpretation of Native Ion Mobility Mass Spectrometry Data
  • 2020
  • In: Analytical Chemistry. - : American Chemical Society. - 0003-2700 .- 1520-6882. ; 92:16, s. 10881-10890
  • Journal article (peer-reviewed)abstract
    • The past few years have seen a dramatic increase in applications of native mass and ion mobility spectrometry, especially for the study of proteins and protein complexes. This increase has been catalyzed by the availability of commercial instrumentation capable of carrying out such analyses. As in most fields, however, the software to process the data generated from new instrumentation lags behind. Recently, a number of research groups have started addressing this by developing software, but further improvements are still required in order to realize the full potential of the data sets generated. In this perspective, we describe practical aspects as well as challenges in processing native mass spectrometry (MS) and ion mobility-MS data sets and provide a brief overview of currently available tools. We then set out our vision of future developments that would bring the community together and lead to the development of a common platform to expedite future computational developments, provide standardized processing approaches, and serve as a location for the deposition of data for this emerging field. This perspective has been written by members of the European Cooperation in Science and Technology Action on Native MS and Related Methods for Structural Biology (EU COST Action BM1403) as an introduction to the software tools available in this area. It is intended to serve as an overview for newcomers and to stimulate discussions in the community on further developments in this field, rather than being an in-depth review. Our complementary perspective (http://dx.doi.org/10.1021/acs.analchem.9b05791) focuses on computational approaches used in this field.
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  • Result 1-10 of 190
Type of publication
journal article (111)
conference paper (30)
other publication (15)
reports (12)
book chapter (10)
doctoral thesis (5)
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research review (4)
licentiate thesis (3)
artistic work (1)
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Type of content
peer-reviewed (139)
other academic/artistic (46)
pop. science, debate, etc. (5)
Author/Editor
Marklund, Erik (47)
Marklund, Erik, Tekn ... (24)
Landreh, Michael (20)
Varna, Janis (18)
Benesch, Justin L P (17)
Caleman, Carl (17)
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Marklund, Erik G (15)
Marklund, Erik, 1985 ... (14)
Allison, Timothy M (13)
Sahin, Cagla (12)
Berntson, Erik (12)
Marklund, Staffan (10)
Marklund, Pär (10)
Asp, Leif (10)
Degiacomi, Matteo T. (9)
Olsson, Robin (9)
Österlund, Nicklas (8)
Ilag, Leopold L (8)
Robinson, Carol V (8)
Höglund, Erik (8)
Marklund, Mattias, 1 ... (6)
Leppert, Axel (6)
Larsson, Ragnar, 196 ... (6)
Andreas, Lale (6)
Gonoskov, Arkady, 19 ... (6)
Wallin, Erik (5)
Lagerkvist, Anders (5)
Mandl, Thomas (5)
van Der Spoel, David (5)
Helleday, Thomas (4)
Rising, Anna (4)
Lind, Lars (4)
Johansson, Jan (4)
Chandler, Shane A (4)
Costeira-Paulo, Joan ... (4)
Laganowsky, Arthur (4)
Costeira-Paulo, Joan ... (4)
Marklund, Niklas (4)
Lundeberg, Joakim (4)
Marklund, Matti (4)
Elf, Johan (4)
Schultz, Niklas (4)
Larsson, Roland (4)
Hedling, Erik (4)
Marklund, Anders (4)
Timneanu, Nicusor (4)
Hellström, Peter (4)
Berglund, Emelie (4)
Marklund, Maja (4)
Tarish, Firas (4)
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University
Uppsala University (73)
Luleå University of Technology (55)
RISE (33)
Stockholm University (23)
Karolinska Institutet (22)
Chalmers University of Technology (17)
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Umeå University (14)
Royal Institute of Technology (11)
Lund University (8)
University of Gothenburg (4)
Linnaeus University (4)
Swedish University of Agricultural Sciences (3)
Högskolan Dalarna (2)
Linköping University (1)
Södertörn University (1)
Karlstad University (1)
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Language
English (176)
Swedish (13)
Undefined language (1)
Research subject (UKÄ/SCB)
Natural sciences (76)
Engineering and Technology (76)
Medical and Health Sciences (18)
Social Sciences (13)
Humanities (5)
Agricultural Sciences (1)

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