Brief
AI tool reads hidden aging signatures in mouse blood‑stem‑cell DNA
The ChromAgeNet model distinguishes young from aged mouse hematopoietic stem cells by analysing three‑dimensional chromatin patterns.
By Felo News Desk · Published
Scientists have created an artificial‑intelligence system called ChromAgeNet that can identify subtle, age‑related changes in the three‑dimensional organization of DNA inside mouse blood‑forming stem cells, according to scitechdaily.com.
What happened
The research team collected three‑dimensional microscopy images of the nuclei of mouse hematopoietic stem cells. Using these images, ChromAgeNet learned to recognise patterns in chromatin architecture that differ between young and aged cells. In tests reported in the journal Aging Cell, the model assigned a 77% probability of correctly classifying a cell as young or old.
What the reports add
Scitechdaily notes that the tool was applied as a proof‑of‑concept to stem cells treated with various epigenetic drugs, which modify gene‑activity mechanisms. The AI analysis suggested that some treatments shifted DNA organization toward a pattern more typical of younger cells, although the article stresses that this does not prove functional rejuvenation.
What was said
Dr. Maria Carolina Florian, a researcher in the Regenerative Medicine Program at Bellvitge Biomedical Research Institute (IDIBELL) and ICREA Research Professor, is quoted as leading the work alongside Dr. Paula Petrone of the Barcelona Supercomputing Center‑Centro Nacional de Supercomputación (BSC‑CNS) and the Barcelona Institute for Global Health (ISGlobal). Their statements are reported by scitechdaily.
How it came about
The study builds on growing interest in the physical layout of chromatin as a biomarker of cellular ageing. By converting microscopic images into data that an AI can interpret, the researchers aim to provide a rapid, non‑invasive readout of ageing in blood‑stem cells, a step that could aid future investigations of interventions targeting the hematopoietic system.
Key facts
- ChromAgeNet can distinguish young from aged mouse blood stem cells with a 77% probability. (scitechdaily.com)
- The AI model analyses three‑dimensional images of nuclear DNA organization. (scitechdaily.com)
- Researchers tested the tool on cells treated with epigenetic drugs, noting shifts toward younger‑like DNA patterns. (scitechdaily.com)
- The work was led by Dr. Maria Carolina Florian (IDIBELL) and Dr. Paula Petrone (BSC‑CNS/ISGlobal). (scitechdaily.com)
Sources
- [1] scitechdaily.com — originally reported as “AI Can Detect Hidden Signs of Aging in the 3D Architecture of DNA”
