Active Genetics & Molecular Biology Cells, Biochemistry & Physiology

Cell fate decision-making in complex signalling environments

In plain English

AI plain-English summary

Every cell in your body is constantly bombarded with chemical signals, and a new imaging technique now lets scientists watch, in real time, how a single cell weighs those competing messages before deciding whether to divide or specialise. This matters because cells routinely receive dozens of conflicting instructions at once—from neighbouring cells, hormones, and the physical environment—yet they reliably pick a path. Until now, researchers could not track both the incoming signals and the cell’s response simultaneously across an entire population. The team has solved that by combining live-cell imaging of gene activity with measurements of signalling and behaviour over the hours it takes a cell to commit to a fate. They will also build mathematical models that capture how a cell’s history of exposure shapes its final decision. This is fundamental science. It will define the core rules of how cells integrate complex signalling histories—knowledge that could eventually help explain why development sometimes goes wrong, or why cancer cells ignore signals that should stop them from proliferating. Past work on cell signalling has led to targeted cancer therapies, but this project is focused on the basic logic of decision-making itself, not on any immediate application.

View original technical description
Our goal is to determine how cells integrate multiple signalling inputs to decide their fates. Understanding how cells can respond to this complexity of inputs has until recently been intractable, because the ability to simultaneously measure the inputs and outputs for individual cells, in their population context, has been out of reach. We have developed methods to image transcription in living cells, and this can now be combined with measurements of signalling and cell behaviour over the time and length scales of a developmental fate choice. This means we can continually monitor multiple inputs and outputs of the decision-making process in the context of the entire heterogeneous cell population. Combined with multi-scale mathematical modelling, our approaches will determine how cells integrate multiple external signals to choose between proliferation and differentiation, how cells reinforce the choice to differentiate and become resistant to signals promoting proliferation, and how initial cell state, signalling and cell state transitions influence the final fate of the cell. Overall our work will define the fundamental characteristics of how the history of exposure to signalling is integrated to generate a fate decision.

View the original record at the funder ↗

Researchers

Jonathan Chubb (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

The encoding and interpretation of FGF signals in mammalian cell fate choice
Single cell decision making in development and dedifferentiation
Investigating the processes and mechanisms of cellular decision-making
Data-driven multi-scale engineering of cell fate decisions
Finding dynamical landscapes for cell fate decisions from single cell data

Original classification

Discovery Award

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.