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平行磷酸化蛋白质组学和代谢组学绘制全球代谢酪氨酸磷酸化蛋白质组图谱。

Parallel phosphoproteomics and metabolomics map the global metabolic tyrosine phosphoproteome.

机构信息

Department of Pathology and Cancer Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215.

Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139.

出版信息

Proc Natl Acad Sci U S A. 2024 Nov 19;121(47):e2413837121. doi: 10.1073/pnas.2413837121. Epub 2024 Nov 13.

Abstract

Tyrosine phosphorylation of metabolic enzymes is an evolutionarily conserved posttranslational modification that facilitates rapid and reversible modulation of enzyme activity, localization, or function. Despite the high abundance of tyrosine phosphorylation events detected on metabolic enzymes in high-throughput mass spectrometry-based studies, functional characterization of tyrosine phosphorylation sites has been limited to a subset of enzymes. Since tyrosine phosphorylation is dysregulated across human diseases, including cancer, understanding the consequences of metabolic enzyme tyrosine phosphorylation events is critical for informing disease biology and therapeutic interventions. To globally identify metabolic enzyme tyrosine phosphorylation events and simultaneously assign functional significance to these sites, we performed parallel phosphoproteomics and polar metabolomics in nontumorigenic mammary epithelial cells (MCF10A) stimulated with epidermal growth factor (EGF) in the absence or presence of the EGF receptor inhibitor erlotinib. We performed an integrated analysis of the phosphoproteomic and metabolomic datasets to identify tyrosine phosphorylation sites on metabolic enzymes with functional consequences. We identified two previously characterized (pyruvate kinase muscle isozyme, phosphoglycerate mutase 1) and two uncharacterized (glutathione S-transferase Pi 1, glutamate dehydrogenase 1) tyrosine phosphorylation sites on metabolic enzymes with purported functions based on metabolomic analyses. We validated these hits using a doxycycline-inducible CRISPR interference system in MCF10A cells, in which target metabolic enzymes were depleted with simultaneous reexpression of wild-type, phosphomutant, or phosphomimetic isoforms. Together, these data provide a framework for identification, prioritization, and characterization of tyrosine phosphorylation sites on metabolic enzymes with functional significance.

摘要

代谢酶的酪氨酸磷酸化是一种进化上保守的翻译后修饰,可促进酶活性、定位或功能的快速和可逆调节。尽管在高通量基于质谱的研究中检测到代谢酶上存在大量的酪氨酸磷酸化事件,但对酪氨酸磷酸化位点的功能表征仅限于一部分酶。由于酪氨酸磷酸化在包括癌症在内的人类疾病中失调,因此了解代谢酶酪氨酸磷酸化事件的后果对于了解疾病生物学和治疗干预至关重要。为了全局识别代谢酶酪氨酸磷酸化事件,并同时赋予这些位点功能意义,我们在不存在或存在表皮生长因子受体抑制剂厄洛替尼的情况下,用表皮生长因子(EGF)刺激非致瘤性乳腺上皮细胞(MCF10A),同时进行磷酸蛋白质组学和极性代谢组学平行分析。我们对磷酸蛋白质组学和代谢组学数据集进行综合分析,以确定具有功能意义的代谢酶上的酪氨酸磷酸化位点。我们根据代谢组学分析,在具有假定功能的代谢酶上鉴定了两个先前表征的(丙酮酸激酶肌肉同工酶,磷酸甘油酸变位酶 1)和两个未表征的(谷胱甘肽 S-转移酶 Pi 1,谷氨酸脱氢酶 1)酪氨酸磷酸化位点。我们使用 MCF10A 细胞中的诱导型 CRISPR 干扰系统对这些命中进行了验证,其中目标代谢酶在用野生型、磷酸突变体或磷酸模拟体同时重新表达的情况下被耗尽。这些数据共同为鉴定、优先排序和表征具有功能意义的代谢酶上的酪氨酸磷酸化位点提供了框架。

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