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Kuroda Y. Biophysical studies of amorphous protein aggregation and in vivo immunogenicity. Biophys Rev 2022; 14:1495-1501. [PMID: 36465085 PMCID: PMC9684872 DOI: 10.1007/s12551-022-01011-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 10/26/2022] [Indexed: 11/27/2022] Open
Abstract
Amorphous protein aggregates are oligomers that lack specific, high-order structures. Soluble amorphous aggregates are smaller than ~1 µm. Despite their lack of high-order structure, amorphous protein aggregates exhibit specific biophysical properties such as reversibility of formation, density, conformation, and biochemical stability. Our mutational analysis using a Solubility Controlling Peptide (SCP) tag strongly suggests that amorphous aggregation of small globular proteins can significantly increase in vivo immune response and that the magnitude of enhanced immune responses depends on the aggregates' biophysical and biochemical properties. We propose that SCP tags might help develop subunit (protein) adjuvant-free (immunostimulant-free) vaccines by controlling the aggregation propensity of target proteins.
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Affiliation(s)
- Yutaka Kuroda
- Department of Biotechnology and Life Sciences, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Nakamachi, Koganei-Shi, Tokyo, 184-8588 Japan
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Lattice-model analysis of the effect of protein surface charge distribution on amorphous aggregation and condensation. Chem Phys Lett 2022. [DOI: 10.1016/j.cplett.2022.139767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Micsonai A, Moussong É, Wien F, Boros E, Vadászi H, Murvai N, Lee YH, Molnár T, Réfrégiers M, Goto Y, Tantos Á, Kardos J. BeStSel: webserver for secondary structure and fold prediction for protein CD spectroscopy. Nucleic Acids Res 2022; 50:W90-W98. [PMID: 35544232 PMCID: PMC9252784 DOI: 10.1093/nar/gkac345] [Citation(s) in RCA: 186] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/18/2022] [Accepted: 05/09/2022] [Indexed: 12/15/2022] Open
Abstract
Circular dichroism (CD) spectroscopy is widely used to characterize the secondary structure composition of proteins. To derive accurate and detailed structural information from the CD spectra, we have developed the Beta Structure Selection (BeStSel) method (PNAS, 112, E3095), which can handle the spectral diversity of β-structured proteins. The BeStSel webserver provides this method with useful accessories to the community with the main goal to analyze single or multiple protein CD spectra. Uniquely, BeStSel provides information on eight secondary structure components including parallel β-structure and antiparallel β-sheets with three different groups of twist. It overperforms any available method in accuracy and information content, moreover, it is capable of predicting the protein fold down to the topology/homology level of the CATH classification. A new module of the webserver helps to distinguish intrinsically disordered proteins by their CD spectrum. Secondary structure calculation for uploaded PDB files will help the experimental verification of protein MD and in silico modelling using CD spectroscopy. The server also calculates extinction coefficients from the primary sequence for CD users to determine the accurate protein concentrations which is a prerequisite for reliable secondary structure determination. The BeStSel server can be freely accessed at https://bestsel.elte.hu.
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Affiliation(s)
- András Micsonai
- ELTE NAP Neuroimmunology Research Group, Department of Biochemistry, Institute of Biology, ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - Éva Moussong
- ELTE NAP Neuroimmunology Research Group, Department of Biochemistry, Institute of Biology, ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - Frank Wien
- Synchrotron SOLEIL, Gif-sur-Yvette 91192, France
| | - Eszter Boros
- Department of Biochemistry, Institute of Biology, ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - Henrietta Vadászi
- ELTE NAP Neuroimmunology Research Group, Department of Biochemistry, Institute of Biology, ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - Nikoletta Murvai
- Department of Biochemistry, Institute of Biology, ELTE Eötvös Loránd University, Budapest H-1117, Hungary.,Institute of Enzymology, Research Centre for Natural Sciences, Budapest H-1117, Hungary
| | - Young-Ho Lee
- Research Center of Bioconvergence Analysis, Korea Basic Science Institute (KBSI), Ochang 28119, Republic of Korea.,Bio-Analytical Science, University of Science and Technology (UST), Daejeon 34113, Republic of Korea.,Graduate School of Analytical Science and Technology (GRAST), Chungnam National University (CNU), Daejeon 34134, Republic of Korea
| | - Tamás Molnár
- ELTE NAP Neuroimmunology Research Group, Department of Biochemistry, Institute of Biology, ELTE Eötvös Loránd University, Budapest H-1117, Hungary
| | - Matthieu Réfrégiers
- Synchrotron SOLEIL, Gif-sur-Yvette 91192, France.,Centre de Biophysique Moléculaire, CNRS UPR4301, Orléans, France
| | - Yuji Goto
- Global Center for Medical Engineering and Informatics, Osaka University, Osaka 565-0871, Japan
| | - Ágnes Tantos
- Institute of Enzymology, Research Centre for Natural Sciences, Budapest H-1117, Hungary
| | - József Kardos
- ELTE NAP Neuroimmunology Research Group, Department of Biochemistry, Institute of Biology, ELTE Eötvös Loránd University, Budapest H-1117, Hungary
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