The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Protein-induced photophysical changes to the amyloid indicator dye thioflavin T
Open accessAbstract
The small molecule thioflavin T (ThT) is a defining probe for the identification and mechanistic study of amyloid fiber formation. As such, ThT is fundamental to investigations of serious diseases such as Alzheimer’s disease, Parkinson disease, and type II diabetes. For each disease, a different protein undergoes conformational conversion to a β-sheet rich fiber. The fluorescence of ThT exhibits an increase in quantum yield upon binding these fibers. Despite its widespread use, the structural basis for binding specificity and for the changes to the photophysical properties of ThT remain poorly understood. Here, we report the co-crystal structures of ThT with two alternative states of β-2 microglobulin (β2m); one monomeric, the other an amyloid-like oligomer. In the latter, the dye intercalates between β-sheets orthogonal to the β-strands. Importantly, the fluorophore is bound in such a manner that a photophysically relevant torsion is limited to a range of angles generally associated with low, not high, quantum yield. Quantum mechanical assessment of the fluorophore shows the electronic distribution to be strongly stabilized by aromatic interactions with the protein. Monomeric β2m gives little increase in ThT fluorescence despite showing three fluorophores, at two binding sites, in configurations generally associated with high quantum yield. Our efforts fundamentally extend existing understanding about the origins of amyloid-induced photophysical changes. Specifically, the β-sheet interface that characterizes amyloid acts both sterically and electronically to stabilize the fluorophore’s ground state electronic distribution. By preventing the fluorophore from adopting its preferred excited state configuration, nonradiative relaxation pathways are minimized and quantum yield is increased.
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Coot : model-building tools for molecular graphics
Emsley, P., & Cowtan, K. (2004) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444904019158 · Cited by 30,571
General atomic and molecular electronic structure system
Schmidt, M. W., Baldridge, K. K., Boatz, J. A., Elbert, S. T., Gordon, M. S., Jensen, J. H., Koseki, S., Matsunaga, N., Nguyen, K. A., Su, S., et al. (1993) · Journal of Computational Chemistry · doi:10.1002/jcc.540141112 · Cited by 20,204
The CCP4 suite: programs for protein crystallography
Collaborative Computational Project, N. 4. (1994) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444994003112 · Cited by 17,270
Refinement of Macromolecular Structures by the Maximum-Likelihood Method
Murshudov, G. N., Vagin, A. A., & Dodson, E. J. (1997) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444996012255 · Cited by 14,742
Protein Misfolding, Functional Amyloid, and Human Disease
Chiti, F., & Dobson, C. M. (2006) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.75.101304.123901 · Cited by 6,423
PHENIX : building new software for automated crystallographic structure determination
Adams, P. D., Grosse-Kunstleve, R. W., Hung, L.-W., Ioerger, T. R., McCoy, A. J., Moriarty, N. W., Read, R. J., Sacchettini, J. C., Sauter, N. K., & Terwilliger, T. C. (2002) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444902016657 · Cited by 4,361
Grabowski, Z. R., Rotkiewicz, K., & Rettig, W. (2003) · Chemical Reviews · doi:10.1021/cr940745l · Cited by 3,714
Löwdin, P.-O. (1950) · The Journal of Chemical Physics · doi:10.1063/1.1747632 · Cited by 3,175
Levine, H. (1993) · Protein Science · doi:10.1002/pro.5560020312 · Cited by 2,264
Molecular mechanism of Thioflavin-T binding to amyloid fibrils
Biancalana, M., & Koide, S. (2010) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2010.04.001 · Cited by 2,195
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Gade Malmos, K., Blancas-Mejia, L. M., Weber, B., Buchner, J., Ramirez-Alvarado, M., Naiki, H., & Otzen, D. (2017) · Amyloid · doi:10.1080/13506129.2017.1304905 · Cited by 445
Ryan, S. D., Dolatabadi, N., Chan, S. F., Zhang, X., Akhtar, M. W., Parker, J., Soldner, F., Sunico, C. R., Nagar, S., Talantova, M., et al. (2013) · Cell · doi:10.1016/j.cell.2013.11.009 · Cited by 434
Modulation of the Aβ peptide aggregation pathway by KP1019 limits Aβ-associated neurotoxicity
Jones, M. R., Mu, C., Wang, M. C. P., Webb, M. I., Walsby, C. J., & Storr, T. (2015) · Metallomics · doi:10.1039/c4mt00252k · Cited by 50
Raulin, A.-C., Kraft, L., Al-Hilaly, Y. K., Xue, W.-F., McGeehan, J. E., Atack, J. R., & Serpell, L. (2019) · Journal of Molecular Biology · doi:10.1016/j.jmb.2019.04.019 · Cited by 47
Medical Plants and Nutraceuticals for Amyloid-β Fibrillation Inhibition
Witter, S., Witter, R., Vilu, R., & Samoson, A. (2018) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-180066 · Cited by 25
Metadata
- Authors
- Wolfe, L. S., Calabrese, M. F., Nath, A., Blaho, D. V., Miranker, A. D., & Xiong, Y.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2010-09-08
- Volume
- 107
- Issue
- 39
- Pages
- 16863-16868
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2115537581
- Cited by
- 329
- References
- 37
- FWCI
- 10.46
- Type
- journal article
- Language
- en
- Open access
- green
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