{"id":633382,"date":"2026-04-28T04:41:12","date_gmt":"2026-04-28T04:41:12","guid":{"rendered":"https:\/\/www.newsbeep.com\/ca\/633382\/"},"modified":"2026-04-28T04:41:12","modified_gmt":"2026-04-28T04:41:12","slug":"the-physics-of-brain-development-how-cells-pull-together-to-form-the-neural-tube","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ca\/633382\/","title":{"rendered":"The Physics of Brain Development: How Cells Pull Together to Form the Neural Tube"},"content":{"rendered":"

Newswise \u2014 In about one out of every\u00a01,000 pregnancies<\/a>, the neural tube, a key nervous system structure, \u00a0fails to close properly. Georgia Tech physicists are now helping explain why this happens, having uncovered the physics that drive neural tube closure in a pregnancy\u2019s earliest stages.<\/p>\n

Working with collaborators at University College London (UCL), Georgia Tech researchers used computer models to reveal how, during early development, forces generated by cells physically pull the neural tube closed \u2014 like a drawstring. This discovery offers new insight into a critical process that, when disrupted, can result in severe birth defects such as spina bifida.<\/p>\n

\u201cUnderstanding a complex developmental process like neural tube closure requires a highly interdisciplinary approach,\u201d said\u00a0Shiladitya Banerjee<\/a>, an associate professor in the\u00a0School of Physics<\/a>. \u201cBy combining advanced biological imaging with theoretical physics, we were able to uncover the mechanical rules that drive cells to close the tube. My lab builds computational models to uncover the physical rules of living systems. The neural tube is an ideal focus because its formation requires incredible mechanical coordination.\u201d<\/p>\n

The researchers presented their findings in Current Biology.\u00a0<\/p>\n

Closing the Gap<\/p>\n

The UCL team studied mouse embryos, which develop similarly to humans, and Georgia Tech researchers used that data to construct their models. From the data, they identified the fundamental physics mechanism that enables neural tube closure in part of the brain. This mechanism, called a \u201cpurse string,\u201d is made of actin, a pivotal protein that forms a cell\u2019s skeletal structure. As the purse strings tighten, the tube closes.<\/p>\n

\u201cThese actin molecules are very important because they give rigidity and shape to cells,\u201d Banerjee said.<\/p>\n

\u201cDuring neural tube closure, actin filaments form a ring around the opening and engage molecular motors \u2014 proteins that generate forces inside cells,\u201d he said. \u201cAs these motors pull on the actin, they generate tension that tightens the ring and draws the tube closed.\u201d<\/p>\n

Stretching to Fit<\/p>\n

As the actin ring tightens, cells stretch and elongate, causing them to align and move together in a synchronized pattern, like a school of fish. This coordination allows the cells to move faster and more efficiently, increasing tension and driving a feedback loop that helps seal the neural tube.<\/p>\n

The team built a computer model to show how this feedback loop leads to successful neural tube formation. Further research using the model could help explain why the neural tube fails to close.<\/p>\n

\u201cPhysics-based modeling of cell and tissue mechanics allows us to connect the dots between developmental stages in a way that is both robust and quantitative, simulating experiments that are impossible in biological tissues,\u201d said\u00a0Gabriel Galea<\/a>, the study co-author and UCL group leader. \u201cIn this case, it allowed us to explain how a cell\u2019s mechanical experience impacts its current and future shapes during a critical step of brain development.\u201d<\/p>\n

Beyond neural tube development, the findings highlight the power of physics-based modeling to explain complex biological processes that can\u2019t be observed directly. The researchers say this approach could be applied to other stages of human development where forces, motion, and timing are just as critical.<\/p>\n

The computational research at Banerjee Lab is funded by the National Institute of General Medical Sciences<\/p>\n

Fernanda P\u00e9rez-Verdugo, Eirini Maniou, Gabriel L. Galea, Shiladitya Banerjee, \u201cMechanosensitive feedback organizes cell shape and motion during hindbrain neuropore morphogenesis,\u201d Current Biology, 2026.<\/p>\n

DOI:\u00a010.1016\/j.cub.2026.02.068\u00a0<\/a><\/p>\n

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