Serine starvation silences estrogen receptor signaling through histone hypoacetylation.
Albert M LiBo HeDimitris KaragiannisYang LiHaowen JiangPreethi SrinivasanYaniel RamirezMeng-Ning ZhouChristina CurtisJoshua J GruberChao LuErinn B RankinJiangbin YePublished in: Proceedings of the National Academy of Sciences of the United States of America (2023)
Loss of estrogen receptor (ER) pathway activity promotes breast cancer progression, yet how this occurs remains poorly understood. Here, we show that serine starvation, a metabolic stress often found in breast cancer, represses estrogen receptor alpha (ERα) signaling by reprogramming glucose metabolism and epigenetics. Using isotope tracing and time-resolved metabolomic analyses, we demonstrate that serine is required to maintain glucose flux through glycolysis and the TCA cycle to support acetyl-CoA generation for histone acetylation. Consequently, limiting serine depletes histone H3 lysine 27 acetylation (H3K27ac), particularly at the promoter region of ER pathway genes including the gene encoding ERα, ESR1 . Mechanistically, serine starvation impairs acetyl-CoA-dependent gene expression by inhibiting the entry of glycolytic carbon into the TCA cycle and down-regulating the mitochondrial citrate exporter SLC25A1, a critical enzyme in the production of nucleocytosolic acetyl-CoA from glucose. Consistent with this model, total H3K27ac and ERα expression are suppressed by SLC25A1 inhibition and restored by acetate, an alternate source of acetyl-CoA, in serine-free conditions. We thus uncover an unexpected role for serine in sustaining ER signaling through the regulation of acetyl-CoA metabolism.
Keyphrases
- estrogen receptor
- protein kinase
- gene expression
- dna methylation
- fatty acid
- poor prognosis
- type diabetes
- oxidative stress
- transcription factor
- metabolic syndrome
- mass spectrometry
- skeletal muscle
- endoplasmic reticulum
- young adults
- weight loss
- high resolution
- adipose tissue
- genome wide identification
- insulin resistance
- breast cancer cells
- genome wide analysis