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How a Single Cell Builds a Brain with 170 Billion Cells

Published on June 28, 2026, 5:23 p.m.
How a Single Cell Builds a Brain with 170 Billion Cells

Topic: Biology

Scientists at Cold Spring Harbor Laboratory discovered how a single cell develops into a brain containing roughly 170 billion cells. They found that chemical signals are not enough to guide this process, and instead, cells rely on their lineage to determine their position.

A human brain starts as a single cell. Over time, this lone cell gives rise to an incredibly complex organ with approximately 170 billion cells. Researchers at Cold Spring Harbor Laboratory have been trying to figure out how all these cells end up in the right places to form a functioning brain.

Stan Kerstjens, a postdoctoral researcher, explains that every cell must solve two questions: 'Where am I?' and 'Who do I need to become?' He suggests that part of the answer may come from a process similar to how human populations spread over generations. Cells that descend from the same progenitor tend to remain near one another.

To investigate this idea, the researchers developed a 'lineage-based model of scalable positional information.' They used theoretical calculations and examined patterns of gene expression in developing mouse brains. They also tested their model in zebrafish and found similar results.

The findings indicate that chemical signaling and cellular lineage may work together to provide positional information during development.

Why It Matters

Understanding how a single cell builds a brain with 170 billion cells can help scientists answer some of the deepest questions about intelligence. This knowledge could also have implications for future self-replicating AI systems.

Key Facts

  • A human brain starts as a single cell and contains approximately 170 billion cells.
  • Researchers at Cold Spring Harbor Laboratory discovered that chemical signals are not enough to guide the development of the brain.
  • Cells rely on their lineage to determine their position during brain development.
  • The researchers developed a 'lineage-based model of scalable positional information' to investigate this process.
  • The findings could have implications for future self-replicating AI systems.

Key Terms

Positional Information
Information that helps cells determine their position in the developing brain

Implications

Understanding how a single cell builds a brain with 170 billion cells can help scientists answer some of the deepest questions about intelligence. This knowledge could also have implications for future self-replicating AI systems.


Source: https://www.sciencedaily.com/releases/2026/06/260618041524.htm

Journal Reference:

  1. Stan Kerstjens, Florian Engert, Rodney J. Douglas, Anthony M. Zador. A lineage-based model of scalable positional information in vertebrate brain development. Neuron, 2026; 114 (9): 1623 DOI: 10.1016/j.neuron.2025.12.043

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