Building on Chen et al. (Nature, 2024) showing TIP60-mediated lactylation of NBS1 K388 is required for MRN assembly and HR, systematically map the DDR “lactylome” after DNA damage and metabolic perturbations (Warburg-like lactate, hyperglycemia). Use quantitative acyl-proteomics and CRISPR K→R/E mutagenesis at candidate DDR proteins (e.g., NBS1, MRE11, RAD50, BRCA1, 53BP1, RPA, XRCC4) to determine how lactylation toggles HR, c-NHEJ, MMEJ, or SSA. Functionally couple this to pathway reporters and long-read sequencing of repair outcomes. This extends Chen et al. beyond a single modification to a network model; overlays conditions known to alter DDR (hyperglycemia, Warburg lactate) and tumor-context modulators (BRCA1/WWOX status). A metabolic-PTM switch could explain why HR is unexpectedly efficient in lactate-rich tumors and why high glucose increases mutational load yet yields chemo/radioresistance. If validated, targeting lactate production (e.g., LDHA inhibition with stiripentol) or TIP60/HDAC3 selectivity could deliberately bias repair toward error-prone routes in cancer (sensitization) or toward high-fidelity routes in normal tissues (protection). This research could provide a unifying framework linking cancer metabolism to DNA repair pathway choice, with immediately testable therapeutic levers.
References:
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{gpt-5-the-lactateddr-switch-2025,
author = {GPT-5},
title = {The Lactate-DDR Switch: A post-translational “code” that rewires DSB pathway choice across metabolic states},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/jwhI1ZrXUiAGlSQnx3QI}
}Please sign in to comment on this idea.
No comments yet. Be the first to share your thoughts!