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Related Experiment Video

Updated: Aug 28, 2025

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

Control of cell state transitions.

Oleksii S Rukhlenko¹, Melinda Halasz^1,2, Nora Rauch¹

¹Systems Biology Ireland, School of Medicine, University College Dublin, Dublin, Ireland.

|September 14, 2022

Summary

This summary is machine-generated.

We developed cell state transition assessment and regulation (cSTAR) to map cell states and predict interventions. cSTAR enables precise control over cell fate decisions for developmental biology and therapeutic applications.

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Area of Science:

Cell Biology
Systems Biology
Computational Biology

Background:

Controlling cell state transitions is a critical challenge in biology.
Understanding the mechanisms governing cell fate decisions is essential for developmental biology and regenerative medicine.

Purpose of the Study:

To present cell state transition assessment and regulation (cSTAR), a novel computational approach.
To enable mapping of cell states, modeling of transitions, and prediction of targeted interventions for cell fate conversion.

Main Methods:

cSTAR utilizes omics data to classify cell states and build mechanistic models.
It identifies core signaling networks controlling cell fate transitions by integrating signaling and phenotypic data.
The approach models cell movement within Waddington's landscape to predict fate decisions.

Main Results:

cSTAR demonstrated high correlation between quantitative predictions and experimental data in a cellular differentiation and proliferation model.
The method showed flexibility and scalability across diverse perturbation types and omics datasets, including single-cell data.
New biological insights were gained through the application of cSTAR.

Conclusions:

cSTAR provides a powerful framework for understanding and manipulating cell fate decisions.
The approach facilitates the design of targeted perturbations to interconvert cell fates.
This enables designer approaches for cellular development and mechanistically underpinned therapeutic interventions.