Columbia team uses agents end-to-end for preprint on p53-hormone receptor genomic grammar
anshulkundaje · x · 2026-09-29
A new bioRxiv preprint from Xi Fu, Raul Rabadan, Arnold J. Levine and colleagues (Columbia/IAS) explores how evolution may coordinate TF-TF interactions between p53 and hormone receptors with the genomic arrangement of their binding sites.
Key findings:
- A broadly distributed functional 73-bp p53-estrogen receptor grammar spanning nucleosome entry/exit to dyad; p53-androgen receptor grammar spans 146 bp
- At a functional breast cancer enhancer regulating Cyclin D, varied spacing led to lower predicted p53 binding
- Genome-wide analysis shows Alu sequences play a major role in distributing this grammar
Notably, the authors say the project was heavily agentic from beginning to end — another example of agent-driven science.
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