AI Reveals 3D Chromosome Structures in Single Cells

 In a groundbreaking development, researchers at the University of Missouri have unveiled an advanced artificial intelligence tool capable of predicting the three-dimensional structure of chromosomes within individual cells. This innovation offers unprecedented insights into gene organization and function, marking a significant leap forward in genetic and biomedical research.

Traditionally, studying the 3D architecture of chromosomes at the single-cell level has been challenging due to noisy and incomplete data. The newly developed AI tool addresses these challenges by effectively interpreting weak patterns and estimating chromosomal structures even when some information is missing. Its ability to recognize biological structures accurately, regardless of their orientation, sets it apart from previous methods.

Compared to earlier deep learning approaches, this AI tool demonstrates more than double the accuracy in analyzing human single-cell data. By making the software freely available to the global scientific community, the researchers aim to facilitate a deeper understanding of gene function, disease mechanisms, and the development of targeted treatments.

Looking ahead, the team plans to enhance the tool further, aiming to reconstruct high-resolution structures of entire genomes. Such advancements could provide scientists with the most detailed view yet of the genetic blueprint within our cells, potentially revolutionizing our approach to studying and treating various diseases.

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https://www.sciencedaily.com/releases/2025/05/250528131824.htm