结核分枝杆菌蛋白 O-磷酸化图谱。
The Mycobacterium tuberculosis protein O-phosphorylation landscape.
机构信息
Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA.
Department of Global Health, University of Washington, Seattle, WA, USA.
出版信息
Nat Microbiol. 2023 Mar;8(3):548-561. doi: 10.1038/s41564-022-01313-7. Epub 2023 Jan 23.
Bacterial phosphosignalling has been synonymous with two-component systems and their histidine kinases, but many bacteria, including Mycobacterium tuberculosis (Mtb), also code for Ser/Thr protein kinases (STPKs). STPKs are the main phosphosignalling enzymes in eukaryotes but the full extent of phosphorylation on protein Ser/Thr and Tyr (O-phosphorylation) in bacteria is untested. Here we explored the global signalling capacity of the STPKs in Mtb using a panel of STPK loss-of-function and overexpression strains combined with mass spectrometry-based phosphoproteomics. A deep phosphoproteome with >14,000 unique phosphosites shows that O-phosphorylation in Mtb is a vastly underexplored protein modification that affects >80% of the proteome and extensively interfaces with the transcriptional machinery. Mtb O-phosphorylation gives rise to an expansive, distributed and cooperative network of a complexity that has not previously been seen in bacteria and that is on par with eukaryotic phosphosignalling networks. A resource of >3,700 high-confidence direct substrate-STPK interactions and their transcriptional effects provides signalling context for >80% of Mtb proteins and allows the prediction and assembly of signalling pathways for mycobacterial physiology.
细菌磷酸信号转导一直与双组分系统及其组氨酸激酶同义,但许多细菌,包括结核分枝杆菌(Mtb),也编码丝氨酸/苏氨酸蛋白激酶(STPK)。STPK 是真核生物中主要的磷酸信号酶,但细菌中蛋白质丝氨酸/苏氨酸和酪氨酸(O-磷酸化)的磷酸化程度尚未得到充分验证。在这里,我们使用一系列 STPK 功能丧失和过表达菌株结合基于质谱的磷酸蛋白质组学,探索了 Mtb 中 STPK 的全局信号转导能力。一个包含超过 14000 个独特磷酸化位点的深度磷酸蛋白质组表明,Mtb 中的 O-磷酸化是一种广泛未被探索的蛋白质修饰,影响超过 80%的蛋白质组,并与转录机制广泛相互作用。Mtb 的 O-磷酸化产生了一个广泛、分布式和协作的网络,其复杂性以前在细菌中从未见过,与真核磷酸信号网络相当。一个包含超过 3700 个高可信度直接底物-STPK 相互作用及其转录效应的资源,为 Mtb 蛋白质的 80%以上提供了信号转导背景,并允许对分枝杆菌生理学的信号通路进行预测和组装。
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