Bracken Ronan C, Davison Lindsay M, Buehler Dennis P, Fulton Maci E, Carson Emily E, Sheng Quanhu, Stolze Lindsey K, Guillermier Christelle, Steinhauser Matthew L, Brown Jonathan D
Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
iScience. 2024 May 16;27(6):110011. doi: 10.1016/j.isci.2024.110011. eCollection 2024 Jun 21.
Combinatorial signaling by proinflammatory cytokines synergizes to exacerbate toxicity to cells and tissue injury during acute infections. To explore synergism at the gene-regulatory level, we investigated the dynamics of transcription and chromatin signaling in response to dual cytokines by integrating nascent RNA imaging mass spectrometry, RNA sequencing, amplification-independent mRNA quantification, assay for transposase-accessible chromatin using sequencing (ATAC-seq), and transcription factor profiling. Costimulation with interferon-gamma (IFNγ) and tumor necrosis factor alpha (TNFα) synergistically induced a small subset of genes, including the chemokines , -, and -. Gene induction coincided with increased chromatin accessibility at non-coding regions enriched for p65 and STAT1 binding sites. To discover coactivator dependencies, we conducted a targeted chemogenomic screen of transcriptional inhibitors followed by modeling of inhibitor dose-response curves. These results identified high efficacy of either p300/CREB-binding protein (CBP) or bromodomain and extra-terminal (BET) bromodomain inhibitors to disrupt induction of synergy genes. Combination p300/CBP and BET bromodomain inhibition at half-maximal inhibitory concentrations (subIC) synergistically abrogated IFNγ/TNFα-induced chemokine gene and protein levels.
促炎细胞因子的组合信号协同作用,会加剧急性感染期间对细胞的毒性和组织损伤。为了在基因调控水平上探索协同作用,我们通过整合新生RNA成像质谱、RNA测序、无扩增mRNA定量、转座酶可及染色质测序分析(ATAC-seq)和转录因子分析,研究了对双重细胞因子反应时的转录和染色质信号动态。干扰素-γ(IFNγ)和肿瘤坏死因子α(TNFα)共刺激协同诱导了一小部分基因,包括趋化因子、、和。基因诱导与富含p65和STAT1结合位点的非编码区域染色质可及性增加同时发生。为了发现共激活因子依赖性,我们对转录抑制剂进行了靶向化学基因组筛选,随后对抑制剂剂量反应曲线进行建模。这些结果确定了p300/CREB结合蛋白(CBP)或溴结构域和额外末端(BET)溴结构域抑制剂在破坏协同基因诱导方面具有高效性。在半数最大抑制浓度(subIC)下联合使用p300/CBP和BET溴结构域抑制剂可协同消除IFNγ/TNFα诱导的趋化因子基因和蛋白水平。