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  Unraveling the kinetochore nanostructure in Schizosaccharomyces pombe using multi-color SMLM imaging

Virant, D., Vojnovic, I., Winkelmeier, J., Endesfelder, M., Turkowyd, B., Lando, D., et al. (2023). Unraveling the kinetochore nanostructure in Schizosaccharomyces pombe using multi-color SMLM imaging. The Journal of cell biology, 222(4): e202209096. doi:10.1083/jcb.202209096.

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https://doi.org/10.1083/jcb.202209096 (Publisher version)
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 Creators:
Virant, David1, Author
Vojnovic, Ilijana1, Author
Winkelmeier, Jannik1, Author
Endesfelder, Marc1, Author
Turkowyd, Bartosz2, 3, Author
Lando, David1, Author
Endesfelder, Ulrike2, 3, Author           
Affiliations:
1external, ou_persistent22              
2Max Planck Institute for Terrestrial Microbiology, Max Planck Society, ou_3135468              
3Department of Systems and Synthetic Microbiology, Max Planck Institute for Terrestrial Microbiology, Max Planck Society, Karl-von-Frisch-Strasse 10, D-35043 Marburg, DE, ou_3266288              

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 Abstract: The key to ensuring proper chromosome segregation during mitosis is the kinetochore (KT), a tightly regulated multiprotein complex that links the centromeric chromatin to the spindle microtubules and as such leads the segregation process. Understanding its architecture, function, and regulation is therefore essential. However, due to its complexity and dynamics, only its individual subcomplexes could be studied in structural detail so far. In this study, we construct a nanometer-precise in situ map of the human-like regional KT of Schizosaccharomyces pombe using multi-color single-molecule localization microscopy. We measure each protein of interest (POI) in conjunction with two references, cnp1CENP-A at the centromere and sad1 at the spindle pole. This allows us to determine cell cycle and mitotic plane, and to visualize individual centromere regions separately. We determine protein distances within the complex using Bayesian inference, establish the stoichiometry of each POI and, consequently, build an in situ KT model with unprecedented precision, providing new insights into the architecture. © 2023 Virant et al.

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Language(s): eng - English
 Dates: 2023
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: ISI: 36705602
DOI: 10.1083/jcb.202209096
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Title: The Journal of cell biology
Source Genre: Journal
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Pages: - Volume / Issue: 222 (4) Sequence Number: e202209096 Start / End Page: - Identifier: ISSN: 1540-8140