Hoyer, Maria; Crevenna, Alvaro H.; Kitel, Radoslaw; Willems, Kherim; Czub, Miroslawa; Dubin, Grzegorz; Van Dorpe, Pol; Holak, Tad A.; Lamb, Don C. ORCID: 0000-0002-0232-1903 (2022): Analysis tools for single-monomer measurements of self-assembly processes. Scientific Reports, 12: 4682. ISSN 2045-2322
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Abstract
Protein assembly plays an important role throughout all phyla of life, both physiologically and pathologically. In particular, aggregation and polymerization of proteins are key-strategies that regulate cellular function. In recent years, methods to experimentally study the assembly process on a single-molecule level have been developed. This progress concomitantly has triggered the question of how to analyze this type of single-filament data adequately and what experimental conditions are necessary to allow a meaningful interpretation of the analysis. Here, we developed two analysis methods for single-filament data: the visitation analysis and the average-rate analysis. We benchmarked and compared both approaches with the classic dwell-time-analysis frequently used to study microscopic association and dissociation rates. In particular, we tested the limitations of each analysis method along the lines of the signal-to-noise ratio, the sampling rate, and the labeling efficiency and bleaching rate of the fluorescent dyes used in single-molecule fluorescence experiments. Finally, we applied our newly developed methods to study the monomer assembly of actin at the single-molecule-level in the presence of the class II nucleator Cappuccino and the WH2 repeats of Spire. For Cappuccino, our data indicated fast elongation circumventing a nucleation phase whereas, for Spire, we found that the four WH2 motifs are not sufficient to promote de novo nucleation of actin.
Dokumententyp: | Artikel (LMU) |
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Organisationseinheit (Fakultäten): | 18 Chemie und Pharmazie > Department Chemie |
DFG-Fachsystematik der Wissenschaftsbereiche: | Naturwissenschaften |
Veröffentlichungsdatum: | 27. Okt 2022 08:30 |
Letzte Änderung: | 07. Dez 2023 12:16 |
URI: | https://oa-fund.ub.uni-muenchen.de/id/eprint/312 |
DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 491502892 |