Stress-Induced AMPK Interactome Analysis Reveals Novel Protein-Protein Interactions Associated with Chromatin Remodeling and Transcription Machinery in Acute Lymphoblastic Leukemia
Authors: Shvab Ana , Leclerc Guy J. , Barredo Julio C. 
Published: December 2023

Acute lymphoblastic leukemia (ALL) is a leading cause of cancer-related death among children, adolescents and young adults. Survival rates for relapsed/refractory ALL remain dismal. We have previously reported that ALL cells are vulnerable to energy/metabolic stress conditions following AMP-activated protein kinase (AMPK) activation, leading to cell death. AMPK is the master metabolic regulator, and our lab and others have reported it interacts with chromatin-associated proteins to epigenetically regulate gene expression in response to energy/metabolic stress. To identify genome-wide genes regulated by direct association of AMPK to chromatin in response to energy/metabolic stress, we previously used ChIP-seq and RNA-seq in Bp-ALL (KASUMI-2) and T-ALL (KE-37) cells treated with or without glucose or AICAR, a well-known AMPK activator, and found that (i) AMPK interacts with components of the transcription machinery including the TATA-Box Binding Protein Associated Factor (TAF) and RNA polymerase II, (ii) AMPKα2 was enriched for genes involved in histone H3-K4 methylation, protein localization, Notch signaling, and mRNA destabilization, (iii) AMPKa2 was recruited to promoter regions of the epigenetic regulators KMT2A and SETD1A, and (iv) the mRNA expression of KMT2A and SETD1A genes was upregulated in KASUMI-2 cells treated with AICAR. To further investigate AMPK's involvement in epigenetic mechanisms in response to energy/metabolic stress, we performed a comprehensive interactome analysis using TurboID-based proximity labeling proteomics. AMPK is a highly conserved heterotrimeric kinase complex composed of catalytic α-subunit (α1 or α2) and regulatory β (β1 or β2) and γ (γ1, γ2, or γ3) subunits. We generated HEK293T cells stably expressing TurboID fused to the AMPKα1, AMPKα2, AMPKβ1 or AMPKγ1 (which are the most abundant AMPK subunits expressed in ALL cells), and these stable cell lines were treated with the potent allosteric AMPK activator PF-06409577 for 1 hr, to mimic the cell's rapid response to energy/metabolic stress. Following characterization of these stable cell lines and small-scale optimization experiments, treated samples and controls were submitted to mass spectrometry analysis. Proteomics data analysis identified novel AMPK's protein-protein interactions (PPI) which were altered (enhanced or reduced) following PF-06409577 treatment. Among PPI altered by PF-06409577 treatment, 148 were enhanced and 144 reduced for AMPKα1, 169 enhanced and 172 reduced for AMPKα2, 250 enhanced and 188 reduced for AMPKβ1 and 289 enhanced and 153 reduced for AMPKγ1. For proteomics data visualization we used Cytoscape software. The GO analysis of proteins interacting with AMPKα1β1γ1 and/or AMPKα2β1γ1 heterotrimeric complexes in cells treated with PF-06409577 showed that energy/metabolic stress enhances their interaction with proteins involved in gene expression, cellular metabolic processes, chromatin organization, DNA repair, histone modifications, etc.. Using the STRING database, we performed MCL clustering analysis and uncovered a major cluster of known epigenetic regulators (e.g., histone modifiers such as KDM6A, HDAC2, SETD2, KMT2A and SETD1A etc.) and components of the transcription machinery (such as NELFE, POLR2A etc.) that interacted with AMPK under stress-induced conditions. These data support our previous findings uncovered by ChIP-seq and RNA-seq analysis. Consequently, our findings further validate an epigenetic role for AMPK via interactions with putative members of chromatin-associated and transcription machinery complexes and chromatin modifying enzymes that allow ALL cells to respond to conditions of energy/metabolic stress. To our knowledge, this is the first report describing the AMPK interactome in pediatric ALL. Further elucidation of the uncovered protein-protein interactions may lead to potential epigenetic-based targeted therapies to overcome therapeutic resistance in relapse/refractory ALL and other hematological malignancies.