ArticleNature biotechnology2015
High-throughput fluorescence correlation spectroscopy enables analysis of proteome dynamics in living cells.
Article in Nature biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.
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Who cites it
78 citing papers in PubMed.
- Mapping Protein Diffusion from the Plasma Membrane to the Nucleus: Insights from Fluorescence Correlation Spectroscopy.Biomolecules · 2026Review
- Functional assessment of protein variants in structured domains by fluorescence cross-correlation spectroscopy.Scientific reports · 2026Article
- Fluorescence Correlation Spectroscopy to Examine Protein-Lipid Interactions in Membranes.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Filament formation and NAD processing by noncanonical human FAM118 sirtuins.Nature structural & molecular biology · 2025Article
- Fluorescence correlation spectroscopy for particle sizing: A notorious challenge.Biophysical journal · 2025Review
- A Bayesian Model to Count the Number of Two-State Emitters in a Diffraction Limited Spot.Nano letters · 2025Article
- lncreased risk of slippage upon disengagement of the mitotic checkpoint.PLoS computational biology · 2025Article
- tttrlib: modular software for integrating fluorescence spectroscopy, imaging, and molecular modeling.Bioinformatics (Oxford, England) · 2025Article
- Article
- Quantification of membrane fluidity in bacteria using TIR-FCS.Biophysical journal · 2024Article
- Histone ADP-ribosylation promotes resistance to PARP inhibitors by facilitating PARP1 release from DNA lesions.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Neural network informed photon filtering reduces fluorescence correlation spectroscopy artifacts.Biophysical journal · 2024Article
- The recruitment of ACF1 and SMARCA5 to DNA lesions relies on ADP-ribosylation dependent chromatin unfolding.Molecular biology of the cell · 2024Article
- Studying Macromolecular Interactions of Cellular Machines by the Combined Use of Analytical Ultracentrifugation, Light Scattering, and Fluorescence Spectroscopy Methods.Advances in experimental medicine and biology · 2024Article
- Identification of key residues of the DNA glycosylase OGG1 controlling efficient DNA sampling and recruitment to oxidized bases in living cells.Nucleic acids research · 2023Article
- Modular antibodies reveal DNA damage-induced mono-ADP-ribosylation as a second wave of PARP1 signaling.Molecular cell · 2023Article
- HPF1-dependent histone ADP-ribosylation triggers chromatin relaxation to promote the recruitment of repair factors at sites of DNA damage.Nature structural & molecular biology · 2023Article
- Filamentous temperature sensitive mutant Z: a putative target to combat antibacterial resistance.RSC advances · 2023Review
- Article
- Dependence of diffusion ineLife · 2022Article
18 more citing papers are in PubMed but not listed here.
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8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To understand the function of cellular protein networks, spatial and temporal context is essential. Fluorescence correlation spectroscopy (FCS) is a single-molecule method to study the abundance, mobility and interactions of fluorescence-labeled biomolecules in living cells. However, manual acquisition and analysis procedures have restricted live-cell FCS to short-term experiments of a few proteins. Here, we present high-throughput (HT)-FCS, which automates screening and time-lapse acquisition of FCS data at specific subcellular locations and subsequent data analysis. We demonstrate its utility by studying the dynamics of 53 nuclear proteins. We made 60,000 measurements in 10,000 living human cells, to obtain biophysical parameters that allowed us to classify proteins according to their chromatin binding and complex formation. We also analyzed the cell-cycle-dependent dynamics of the mitotic kinase complex Aurora B/INCENP and showed how a rise in Aurora concentration triggers two-step complex formation. We expect that throughput and robustness will make HT-FCS a broadly applicable technology for characterizing protein network dynamics in cells.
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