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Updated: Sep 13, 2026

Site-Specific Lysine Lactylation via Genetic Code Expansion in E. coli and Mammalian Cells
Published on: February 24, 2026
Malic enzyme 1 senses L-lactate to determine tumor heterogeneity
Si-Yi Cao1,2, Kewen Hu1,2, Shijing Huang1
1Fudan University Shanghai Cancer Center & School of Basic Medical Sciences and Institutes of Biomedical Sciences; Cancer Institutes; Key Laboratory of Breast Cancer in Shanghai; Shanghai Key Laboratory of Radiation Oncology; Shanghai Key Laboratory of Medical Epigenetics, Shanghai Medical College, Fudan University, Shanghai, China.
Abstract:
L-lactate is generally elevated in tumors and acts as a signaling molecule that promotes tumor progression. Here, we reveal that malic enzyme 1 (ME1) functions as a previously unrecognized sensor of L-lactate through direct binding at arginine 155 (R155), thereby potentiating malignancy. Mechanistically, L-lactate binding promotes the nuclear translocation of ME1, a process involving reduced acetylation at lysine 362 (K362) and facilitated by nuclear import of karyopherin-α 4 (KPNA4). Nuclear accumulation of ME1 enhances metastatic potential, which is correlated with increased interaction with hepatoma-derived growth factor (HDGF) and acquisition of an epithelial‒mesenchymal transition (EMT)-related phenotype. Under nutrient-deficient conditions, L-lactate promotes the assembly of a ME1-lactate dehydrogenase B (LDHB) complex, which enhances oxidative phosphorylation (OXPHOS) and increases ATP production, suggesting a metabolic adaptive mechanism that supports tumor cell survival. Notably, the ME1R155A mutation, which disrupts L-lactate binding, abolishes the protumorigenic effect of the L-lactate-ME1 axis on tumor progression in vivo. In conclusion, our findings identify ME1 as a direct sensor of L-lactate and support a model in which lactate-mediated signaling and metabolic adaptation converge on ME1 to regulate tumor cell plasticity in a context-dependent manner under heterogeneous metabolic conditions. These insights advance our understanding of the spatiotemporal control of metabolic adaptation in cancer and reveal a potential therapeutic target.

