Summary of ssbd-repos-000455

Name
URL
DOI

Title
Quantification of Cyclin-CDK dissociation constants using FCCS with green and near-infrared fluorescent proteins.
Description

The cell cycle is a highly coordinated process governed by cyclin-bound cyclin-dependent kinases (CDKs). While the interaction between cyclin and CDK are well-documented, the dissociation constants (Kd) between specific cyclin-CDK pairs within living cells remain poorly understood. Fluorescence cross-correlation spectroscopy (FCCS) enables the quantification of the Kd, but challenges remain in selecting an optimal pair of fluorescent molecules for FCCS in a living cell. In this study, we demonstrate that mNeonGreen and phycocyanobilin-bound miRFP670 represent a suitable pair for FCCS in living cells from the viewpoint of high photostability and low bleed-through. This fluorescent protein pair enables us to measure the Kd values of the cyclin-dependent kinase Cdc2 and B-type cyclin Cdc13 in fission yeast cells. Moreover, we roughly estimated the Kd values for 36 cyclin-CDK complexes, formed by 9 distinct cyclins and 4 CDKs, in mammalian cells, including unconventional cyclin-CDK pairs. These measurements suggest potential versatility of cyclin-CDK binding in cell cycle progression, with implications for understanding cell cycle regulation in both fission yeast and higher eukaryotes.

Submited Date
2025-07-24
Release Date
2025-09-10
Updated Date
2025-09-10
License
Funding information
-
File formats
.csv, .tif, .jpg, .ipynb
Data size
640.0 GB

Organism
Homo sapiens(NCBI:txid9606), Schizosaccharomyces pombe
Strain
L972 (h-), YG181 (h+ ade6-M210 leu1-32 z::Padh1-mScarlet-I-HA-mNeonGreen<<nat), HS445 (h- 2L::Padh1-mCherry2-HA-mNeonGreen<<nat), HS565 (h- 2L::Padh1-spmNeonGreen<<nat 3R::Padh1-miRFP670<<kan 1L::synPCB2.1<<bsd), HS494 (h- 1L::Padh1-SynPCB2.1<<bsd cdc2-miRFP670<<hyg cdc13-spmNeonGreen<<kan), YG2004 (h- 1L::Padh1-SynPCB2.1<<bsd 2L::Padh1-mEGFP-miRFP670<<nat), YG2005 (h- 1L::Padh1-SynPCB2.1<<bsd 2L::Padh1-mStayGold-miRFP670<<nat), YG2006 (h- 1L::Padh1-SynPCB2.1<<bsd 2L::Padh1-mStayGold(Sp codon optimized)-miRFP670<<nat), YG2007-1 (h- 1L::Padh1-SynPCB2.1<<bsd cdc13-miRFP670<<kan cdc2-mNeonGreen<<hyg)
Cell Line
HeLa/Blvra KO (JCRB1992), HeLa/Blvra KO/rtTA/TRE-SynPCB2.1
Genes
-
Proteins
-

GO Molecular Function (MF)
-
GO Biological Process (BP)
-
GO Cellular Component (CC)
-
Study Type
-
Imaging Methods
-

Method Summary

See details in Toyama et al., J cell Sci., 2025

Related paper(s)

Aika Toyama, Yuhei Goto, Yuhei Yamauchi, Hironori Sugiyama, Yohei Kondo, Atsushi Mochizuki, Kazuhiro Aoki (2025) Quantification of Cyclin-CDK dissociation constants using FCCS with green and near-infrared fluorescent proteins., Journal of cell science

Published in 2025 Jul 31 (Electronic publication in July 31, 2025, midnight )

(Abstract) The cell cycle is a highly coordinated process governed by cyclin-bound cyclin-dependent kinases (CDKs). While the interaction between cyclin and CDK are well-documented, the dissociation constants (Kd) between specific cyclin-CDK pairs within living cells remain poorly understood. Fluorescence cross-correlation spectroscopy (FCCS) enables the quantification of the Kd, but challenges remain in selecting an optimal pair of fluorescent molecules for FCCS in a living cell. In this study, we demonstrate that mNeonGreen and phycocyanobilin-bound miRFP670 represent a suitable pair for FCCS in living cells from the viewpoint of high photostability and low bleed-through. This fluorescent protein pair enables us to measure the Kd values of the cyclin-dependent kinase Cdc2 and B-type cyclin Cdc13 in fission yeast cells. Moreover, we roughly estimated the Kd values for 36 cyclin-CDK complexes, formed by 9 distinct cyclins and 4 CDKs, in mammalian cells, including unconventional cyclin-CDK pairs. These measurements suggest potential versatility of cyclin-CDK binding in cell cycle progression, with implications for understanding cell cycle regulation in both fission yeast and higher eukaryotes.

Contact(s)
Aika Toyama
Organization(s)
Kyoto University
Image Data Contributors
Quantitative Data Contributors

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