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How Does Life Unfold? A Landscape Metaphor Comes Into Its Own.

Quanta Magazine · mis à jour il y a 27 j

C.H. Waddington’s powerful image of embryonic stem cells specializing on a rolling landscape has captivated biologists since the 1950s.

Waddington's landscape idea

In the 1940s, British biologist Conrad Hal Waddington proposed a metaphor to explain how cells in an embryo specialize into different types, such as skin or nerve cells. He visualized this process as a rolling landscape with hills and valleys, where a ball representing a stem cell rolls downhill. The valleys represent the final cell types, and the branching points show where cells choose their fate. Waddington called this metaphor the epigenetic landscape, and it suggested that cells are guided by the landscape's shape, much like water flowing through river valleys. This idea was groundbreaking because it framed development as a dynamic process shaped by interactions, not just a simple readout of genes.

Genes shape the landscape

Waddington later expanded his metaphor by suggesting that genes act like ropes pulling on a sheet beneath the landscape, shaping its hills and valleys. These ropes represent gene regulatory networks, where genes influence each other's activity. For example, one gene might turn another on or off, altering the landscape's topography. This means that the path a cell takes isn't determined by a single gene but by a complex network of interactions. Waddington's idea was ahead of its time, as gene regulation wasn't fully understood until the 1960s. His metaphor emphasized that development is a system-level process, not just a collection of individual genetic instructions.

Modern confirmation

Recent advances in biotechnology, particularly single-cell RNA sequencing, have allowed scientists to map the real topography of cell development. This technique measures the activity of thousands of genes in individual cells, revealing how cells transition from one state to another during development. Researchers have found that cells follow paths through a high-dimensional space, much like a ball rolling through Waddington's landscape. For example, blood-forming cells can be mapped as they differentiate into red or white blood cells based on the activity of two key proteins, GATA1 and PU.1. These findings confirm that Waddington's metaphor was remarkably prescient, even though it was originally a conceptual tool rather than a physical model.

Attractors in cell fate

The modern understanding of Waddington's landscape involves the concept of attractors, which are stable states that cells are drawn toward. For instance, a pool of undifferentiated cells (like myeloid progenitor cells) can become unstable and split into two new basins, representing red and white blood cells. These basins are attractors because cells naturally move toward them, similar to how water flows to the lowest point in a landscape. Researchers like Sui Huang have shown that changes in gene activity alter the landscape's shape, creating new attractors that correspond to distinct cell types. This dynamic process explains how identical cells in an embryo can develop into specialized tissues.

Ce que ça pourrait changer

The mapping of Waddington's landscape has practical applications in *regenerative medicine* and *stem-cell engineering*. By understanding the topography of the landscape and where branching points occur, scientists can design methods to guide cells toward specific desired states. For example, if researchers know the exact conditions that push cells toward becoming nerve cells, they can develop therapies for spinal cord injuries. James Briscoe, a developmental biologist at the Francis Crick Institute, emphasizes that this knowledge could allow for precise control over cell differentiation, reducing the need for trial and error in medical treatments.

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