» Articles » PMID: 39175859

Unraveling T-cell Dynamics Using Fluorescent Timer: Insights from the Tocky System

Overview
Specialty Biophysics
Date 2024 Aug 23
PMID 39175859
Authors
Affiliations
Soon will be listed here.
Abstract

Understanding the temporal dynamics of T-cell transcription is crucial for insights into immune cell function and development. In this study, we show the features of the Timer-of-Cell-Kinetics-and-Activity (Tocky) system, which enables analysis of temporal dynamics of cell activities and differentiation, leveraging Fluorescent Timer protein, which spontaneously changes its emission spectrum from blue to red fluorescence in known kinetics, as reporters. The current study examines the properties of the Tocky system, highlighting the Timer-Angle approach, which is a core algorithm of Tocky analysis and converts Timer Blue and Red fluorescence into Timer Angle and Intensity by trigonometric transformation. Importantly, Tocky analyzes time-related events within individual cells by the two phases of measurements, distinguishing between (1) the temporal sequence of cellular activities and differentiation within the time domain, and (2) the transcription frequency within the frequency domain. The transition from time measurement to frequency analysis, particularly at the Persistent locus that bridges these domains, highlights that system's unique property in what is measured and analyzed by Tocky. Intriguingly, the sustained transcriptional activities observed in cells at the Persistent locus may have unique biological features as demonstrated in activated regulatory T-cells (Treg) and pathogenic T-cells, respectively, using Foxp3-Tocky and Nr4a3-Tocky models. In conclusion, the Tocky system can provide crucial data for advancing our understanding of T-cell dynamics and function.

Citing Articles

TockyPrep: data preprocessing methods for flow cytometric fluorescent timer analysis.

Ono M BMC Bioinformatics. 2025; 26(1):44.

PMID: 39923022 PMC: 11807314. DOI: 10.1186/s12859-025-06058-8.

References
1.
Josefowicz S, Lu L, Rudensky A . Regulatory T cells: mechanisms of differentiation and function. Annu Rev Immunol. 2012; 30:531-64. PMC: 6066374. DOI: 10.1146/annurev.immunol.25.022106.141623. View

2.
Rossjohn J, Gras S, Miles J, Turner S, Godfrey D, McCluskey J . T cell antigen receptor recognition of antigen-presenting molecules. Annu Rev Immunol. 2014; 33:169-200. DOI: 10.1146/annurev-immunol-032414-112334. View

3.
Subach F, Subach O, Gundorov I, Morozova K, Piatkevich K, Cuervo A . Monomeric fluorescent timers that change color from blue to red report on cellular trafficking. Nat Chem Biol. 2009; 5(2):118-26. PMC: 2662996. DOI: 10.1038/nchembio.138. View

4.
Rayon T . Cell time: How cells control developmental timetables. Sci Adv. 2023; 9(10):eadh1849. PMC: 9995029. DOI: 10.1126/sciadv.adh1849. View

5.
Bending D, Ono M . From stability to dynamics: understanding molecular mechanisms of regulatory T cells through Foxp3 transcriptional dynamics. Clin Exp Immunol. 2018; 197(1):14-23. PMC: 6591142. DOI: 10.1111/cei.13194. View