蛋白质组学在病毒学研究中的应用

病毒入侵宿主细胞后,导致宿主产生一系列复杂的变化。探索病毒-宿主的相互作用为预防和治疗病毒感染的研究提供重要线索。近年来,以质谱（Mass spectrometry, MS）为核心的蛋白质组学已经为病毒学的发展做出了巨大贡献。新型冠状病毒（SARS-CoV-2）、猴痘病毒（Monkeypox virus, MPXV）以及其它病毒的出现,使得对病毒蛋白质的分子功能及感染后宿主蛋白质组的深入探索更加迫切。本文综述了应用不同蛋白质组学方法来阐明病毒蛋白质的组成、病毒-宿主蛋白质相互作用、宿主蛋白质组的改变以及感染诱导的翻译后调控方面的现状。并讨论蛋白质组学与其他组学联用的策略,总结了蛋白质组学的限制和优势,为寻找病毒感染生物标志物、抗病毒药物靶点提供新的思路。     

热激蛋白Hsp72促进热休克下HuR对p21CIP1的调控作用

RNA结合蛋白HuR可以结合并调控靶标mRNA稳定性与翻译,但影响HuR 结合活性的因素有待探讨。本研究从蛋白质-蛋白质相互作用角度对影响HuR 与RNA结合活性的因素做了探讨。结果发现,热激蛋白Hsp72在细胞浆与HuR相互作用并促进HuR与p21 (KIP1) 3′UTR（3′非翻译区）的结合; 热休克下Hsp72总蛋白质及细胞浆蛋白质水平上调、但HuR总蛋白质及细胞浆蛋白质水平不变|热休克下HuR与p21 3′UTR的相互作用加强、p21蛋白及mRNA水平上调。上述结果提示,Hsp72可通过与HuR相互作用促进后者与p21 mRNA的结合,进而加强热休克下HuR对p21的表达的促进作用。这些结果为进一步解析HuR的生物学作用机制提供了实验依据。     

蛋白质组学-引领后基因组时代

蛋白质组学是建立在高通量筛选技术的基础上发展的方法学,用于研究细胞功能网络模块中蛋白相互作用及在疾病或病变中蛋白和蛋白相互作用所发生的系统动态的差异变化;其研究技术奠基于双向凝胶电泳。及至世纪之交,随着质谱及蛋白质芯片的引进,蛋白质组学已广泛应用在生命科学上。其在医学上的应用,主要旨在发现疾病的特异性蛋白质分子或其蛋白质纹印,以揭示疾病的发生机制,也作为早期诊断、分子分型、疗效及预后判断的依据,并找出可能成为新药物设计的分子靶点,为疾病提供新的治疗方案。随着人类基因序列的完成,蛋白质组学热浪掀起了后基因组年代的序幕,人类将更深入地了解疾病和生命的本源。现就蛋白质组学10年来的发展历程、研究技术、在人类疾病中的应用及未来展望等作出精简的评述。     

药物成瘾的蛋白质组学研究

药物成瘾涉及脑内多种蛋白含量、结构及功能的复杂改变,主要涉及代谢酶类、细胞骨架蛋白、分子伴侣、细胞内信号途径相关蛋白、突触功能相关蛋白和氧化还原相关蛋白等类型。蛋白质组学能对生理与病理状态下的体液、组织或细胞中基因组编码的所有蛋白质组分进行高通量的综合分析,针对筛选出的有意义“候选”蛋白（candidate protein）进行深入验证研究,不仅可能从蛋白质水平上阐明成瘾的神经生物学作用机制,还有助于建立诊断标准,发现抗成瘾药物治疗的潜在靶点。     

基于细胞热漂移测定(CETSA)技术鉴定活细胞内药物靶标的标准操作流程

【目的】细胞热漂移测定(cell thermal shift assay, CETSA)技术是一种检测细胞内药物(配体)和蛋白质(靶标)相互作用的技术,原理是当蛋白质结合药物后,其热稳定性会发生变化,通过测定这种变化去鉴定药物和蛋白之间的相互作用。本研究以治疗多发性骨髓瘤的靶向药帕比司他(panobinostat)为例,建立基于蛋白印迹杂交(Western blotting)和CETSA技术的药物靶蛋白鉴定的标准操作流程。【方法】首先用药物panobinostat处理培养的K562细胞,然后加热处理细胞、裂解细胞及提取可溶性蛋白,以及用抗靶蛋白的抗体经Western blotting定量可溶性蛋白。【结果】经Western blotting定量及曲线拟合,成功得到3个蛋白——组蛋白去乙酰化酶(histone deacetylase,HDAC1)、人突触蛋白(humansyntaxin-4,STX4)以及四三肽重复结构域(tetratricopeptiderepeat domain38,TTC38)随温度变化的热熔解曲线和恒定温度条件下的药物剂量反应曲线。【结论】HDAC1、STX4及T...     

细胞培养稳定同位素标记技术在蛋白质组学中的应用与进展

细胞培养稳定同位素标记技术（SILAC）是在细胞培养过程中,利用稳定同位素标记的氨基酸结合质谱技术,对蛋白表达进行定量分析的一种新技术。它不仅可以对蛋白质进行定性分析,还可通过质谱图上一对轻-重稳定同位素峰的比例来反映对应蛋白在不同状态下的表达水平,实现对蛋白质的精确定量。SILAC结合质谱技术在定量蛋白质组学中发挥了巨大的作用,其应用范围从细胞系扩展到亚细胞器、组织与动物整体水平,具体的应用策略也在不断完善发展。我们总结评述了SILAC技术在差异表达蛋白质组、蛋白质翻译后修饰、药物蛋白质组和蛋白质相互作用等方面的应用与进展。     

PICK1：一个功能多样的药靶蛋白

蛋白质是生命功能的执行者.生命体中某些关键蛋白的功能异常往往是导致疾病发生的根本原因.这些疾病相关蛋白极有可能成为药物靶点,为新药研发和疾病治疗提供重要线索. PICK1蛋白（protein interacting with Cα kinase 1）结合能力广泛、功能多样以及在多种重要疾病（如：癌症、精神分裂症、疼痛、帕金森综合症等）的发生发展过程中发挥潜在的作用,使其成为一个可能的药靶蛋白. PICK1与绝大多数配体蛋白的相互作用是通过其PDZ结构域与配体C末端区域的结合介导的,使PICK1的PDZ结构域成为一个潜在的药物靶点.因此,可以利用生物小分子物质特异性地结合PICK1的PDZ结构域,干扰或阻断PICK1与配体蛋白的天然相互作用,最终达到治疗相关疾病的目的.     

药物蛋白质组学与药物发现

21世纪,科学家面临着从基因组到蛋白质组的转变,蛋白质组学是基因组和药物发现的效率。药物蛋白质组学研究不仅有助于发现治疗的可能靶点,也将明显提高药物发现的效率。药物蛋白质组学的研究内容,在临床前包括发现新的治疗靶点和发现针对所有靶点的全部化合物,在临床研究方面应包括药物作用的特异蛋白作为诊断和治疗的标志,或以蛋白质谱的差异来分类者。本文主要综述了蛋白质组学在药物靶点的发现和确认,以有药物发现过程中最有关的技术物研究进展。     

P53蛋白与SV40大T抗原之间相互作用的研究

为确定一种定量研究酵母体内蛋白质-蛋白质之间相互作用的简便、快捷的方法,为抗癌小分子化合物药物筛选提供一条可行性途径。本文选择P53蛋白与SV40大T抗原为靶蛋白对,首先用酵母双杂交系统（LiAc法质粒共转化酵母细胞）方法定性证明了两者之间存在相互作用,然后通过α-半乳糖苷酶活力定量测定了相互作用力的大小,并确定了最佳酶活测定时间,并与β-半乳糖苷酶活力测定进行了比较,认为α-关乳糖苷酶活力定量测定是研究蛋白质-蛋白质间相互作用的一种更加简便快捷的方法。     

GST pull-down联合质谱筛选（肌）营养不良短小蛋白结合蛋白1在小鼠睾丸组织中的相互作用蛋白质

（肌）营养不良短小蛋白结合蛋白1（dystrobrevin binding protein 1,dysbindin-1）是溶酶体相关细胞器生物发生复合体-1(biogenesis of lysosome related organelles complex 1, BLOC-1)的1个亚基,在多种组织细胞中广泛表达;然而,其在睾丸组织中的作用至今尚不明确。为寻找（肌）营养不良短小蛋白结合蛋白1在睾丸组织中的相互作用蛋白质,以进一步研究（肌）营养不良短小蛋白结合蛋白1在睾丸中的作用,本研究首先在Rosetta(DE3)菌种中表达可溶性GST-dysbindin-1融合蛋白,经谷胱甘肽 琼脂糖珠亲和纯化后,与小鼠的睾丸组织蛋白质孵育进行GST pull-down实验,并通过液相色谱串联质谱（LC MS/MS）分析筛选（肌）营养不良短小蛋白结合蛋白1在睾丸组织中的相互作用蛋白质。利用BioGPS数据库聚类在睾丸组织中高表达和特异性表达的互作蛋白质,运用DAVID6.8在线分析工具从细胞组分、分子功能、生物学过程和KEGG通路等方面对筛选出的互作蛋白质进行GO（gene ontology）富集分析。本实验共筛选出108个（肌）营养不良短小蛋白结合蛋白1在睾丸组织中的潜在互作蛋白质,其中98个为尚未报道的（肌）营养不良短小蛋白结合蛋白1相互作用蛋白质,7个为睾丸高表达蛋白质,5个为睾丸特异性表达的蛋白质。这些候选蛋白质主要分布在细胞质、细胞核、细胞膜、细胞外泌体等细胞组分中,通过与蛋白质、核酸等分子结合参与蛋白质翻译和转运、囊泡运输及凋亡等生物学过程以及氨基酸生物合成、溶酶体及蛋白酶体等生物学通路。我们推测,在睾丸组织中（肌）营养不良短小蛋白结合蛋白1可能通过与多种蛋白质相互作用参与精子的发生和受精等过程。     

Thermal proteome profiling in bacteria: probing protein state in vivo

Increasing antibiotic resistance urges for new technologies for studying microbes and antimicrobial mechanism of action. We adapted thermal proteome profiling (TPP) to probe the thermostability of Escherichia coli proteins in vivo. E. coli had a more thermostable proteome than human cells, with protein thermostability depending on subcellular location—forming a high‐to‐low gradient from the cell surface to the cytoplasm. While subunits of protein complexes residing in one compartment melted similarly, protein complexes spanning compartments often had their subunits melting in a location‐wise manner. Monitoring the E. coli meltome and proteome at different growth phases captured changes in metabolism. Cells lacking TolC, a component of multiple efflux pumps, exhibited major physiological changes, including differential thermostability and levels of its interaction partners, signaling cascades, and periplasmic quality control. Finally, we combined in vitro and in vivo TPP to identify targets of known antimicrobial drugs and to map their downstream effects. In conclusion, we demonstrate that TPP can be used in bacteria to probe protein complex architecture, metabolic pathways, and intracellular drug target engagement.     

Mass spectrometry-based study of the plasma proteome in a mouse intestinal tumor model

Early detection of cancer can greatly improve prognosis. Identification of proteins or peptides in the circulation, at different stages of cancer, would greatly enhance treatment decisions. Mass spectrometry (MS) is emerging as a powerful tool to identify proteins from complex mixtures such as plasma that may help identify novel sets of markers that may be associated with the presence of tumors. To examine this feature we have used a genetically modified mouse model, Apc(Min), which develops intestinal tumors with 100% penetrance. Utilizing liquid chromatography-tandem mass spectrometry (LC-MS/MS), we identified total plasma proteome (TPP) and plasma glycoproteome (PGP) profiles in tumor-bearing mice. Principal component analysis (PCA) and agglomerative hierarchial clustering analysis revealed that these protein profiles can be used to distinguish between tumor-bearing Apc(Min) and wild-type control mice. Leave-one-out cross-validation analysis established that global TPP and global PGP profiles can be used to correctly predict tumor-bearing animals in 17/19 (89%) and 19/19 (100%) of cases, respectively. Furthermore, leave-one-out cross-validation analysis confirmed that the significant differentially expressed proteins from both the TPP and the PGP were able to correctly predict tumor-bearing animals in 19/19 (100%) of cases. A subset of these proteins was independently validated by antibody microarrays using detection by two color rolling circle amplification (TC-RCA). Analysis of the significant differentially expressed proteins indicated that some might derive from the stroma or the host response. These studies suggest that mass spectrometry-based approaches to examine the plasma proteome may prove to be a valuable method for determining the presence of intestinal tumors.     

无化学修饰的小分子药物靶蛋白鉴定技术及其应用进展

鉴定小分子药物的靶蛋白对于理解药物的作用机理以及药物副作用至关重要。传统方法需要对药物进行化学修饰共价交联,可能会导致药物活性的改变。目前已经发展多种无需化学修饰便可以对药物靶蛋白鉴定的方法,包括药物亲和力反应靶标稳定性技术(Drug affinity responsive target stability,DARTS)、蛋白质氧化速率稳定性技术(Stabilityofproteinsfromratesofoxidation,SPROX)、细胞热移位分析技术(Cellularthermalshiftassay, CETSA)和热蛋白组分析技术(Thermalproteomeprofiling, TPP)等。文中将介绍这些技术的原理、应用以及各自的优点和局限性,另外也介绍了这些技术最新的优化方案。     

Thermal proteome profiling: Insights into protein modifications,associations, and functions

Tracking proteins’ biophysical characteristics on a proteome-wide scale can provide valuable information on their functions and interactions. Thermal proteome profiling (TPP) is a multiplexed quantitative proteomics approach that measures changes in protein thermal stability—a key biophysical property—across different cellular states. Developed in 2014, as a target-deconvolution assay for drugs and other small molecules, TPP has since evolved to a system-level biochemical omics technique providing insights into context-dependent changes in protein states. In this review, we summarise key advances in the experimental and data analysis pipeline that have aided this transformation and discuss the recent developments and applications of TPP.     

SARS‐CoV‐2 infection remodels the host protein thermal stability landscape

The severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is a global threat to human health and has compromised economic stability. In addition to the development of an effective vaccine, it is imperative to understand how SARS‐CoV‐2 hijacks host cellular machineries on a system‐wide scale so that potential host‐directed therapies can be developed. In situ proteome‐wide abundance and thermal stability measurements using thermal proteome profiling (TPP) can inform on global changes in protein activity. Here we adapted TPP to high biosafety conditions amenable to SARS‐CoV‐2 handling. We discovered pronounced temporal alterations in host protein thermostability during infection, which converged on cellular processes including cell cycle, microtubule and RNA splicing regulation. Pharmacological inhibition of host proteins displaying altered thermal stability or abundance during infection suppressed SARS‐CoV‐2 replication. Overall, this work serves as a framework for expanding TPP workflows to globally important human pathogens that require high biosafety containment and provides deeper resolution into the molecular changes induced by SARS‐CoV‐2 infection.     

Molecular weight assessment of proteins in total proteome profiles using 1D-PAGE and LC/MS/MS

Background  

The observed molecular weight of a protein on a 1D polyacrylamide gel can provide meaningful insight into its biological function. Differences between a protein's observed molecular weight and that predicted by its full length amino acid sequence can be the result of different types of post-translational events, such as alternative splicing (AS), endoproteolytic processing (EPP), and post-translational modifications (PTMs). The characterization of these events is one of the important goals of total proteome profiling (TPP). LC/MS/MS has emerged as one of the primary tools for TPP, but since this method identifies tryptic fragments of proteins, it has not generally been used for large-scale determination of the molecular weight of intact proteins in complex mixtures.     

Thermal proteome profiling: unbiased assessment of protein state through heat-induced stability changes

In recent years, phenotypic-based screens have become increasingly popular in drug discovery. A major challenge of this approach is that it does not provide information about the mechanism of action of the hits. This has led to the development of multiple strategies for target deconvolution. Thermal proteome profiling (TPP) allows for an unbiased search of drug targets and can be applied in living cells without requiring compound labeling. TPP is based on the principle that proteins become more resistant to heat-induced unfolding when complexed with a ligand, e.g., the hit compound from a phenotypic screen. The melting proteome is also sensitive to other intracellular events, such as levels of metabolites, post-translational modifications and protein-protein interactions. In this review, we describe the principles of this approach, review the method and its developments, and discuss its current and future applications. While proteomics has generally focused on measuring relative protein concentrations, TPP provides a novel approach to gather complementary information on protein stability not present in expression datasets. Therefore, this strategy has great potential not only for drug discovery, but also for answering fundamental biological questions.     

TPP1 as a versatile player at the ends of chromosomes

Telomeres, the ends of linear eukaryotic chromosomes, are tandem DNA repeats and capped by various telomeric proteins. These nucleoprotein complexes protect telomeres from DNA damage response （DDR）, recombination, and end-to-end fusions, ensuring genome stability. The human telosome/shelterin complex is one of the best-studied telomere-associated protein complexes, made up of six core telomeric proteins TRF1, TRF2, TIN2, RAPI, POT1, and TPPI. TPP1, also known as adrenocortical dysplasia protein homolog （ACD）, is a putative mammalian homolog of TEBP-β and belongs to the oligonucleotide binding （OB）-fold-containing protein family. Three functional domains have been identified within TPP1, the N-terminal OB fold, the POT1 binding recruitment domain （RD）, and the carboxyl-terminal TIN2-interacting domain （TID）. TPP1 can interact with both POT1 and TIN2 to maintain telomere structure, and mediate telomerase recruitment for telomere elongation. These features have indicated TPP1 play an essential role in telomere maintenance. Here, we will review important findings that highlight the functional significance of TPP1, with a focus on its interaction with other telosome components and the telomerase. We will also discuss potential implications in disease therapies.     

A probabilistic method to correlate ion pairs with protein thermostability

Recent developments in research on the stability of proteins - specifically, comparisons of the ion pairs of homologous structures - show that ion pairs potentially contribute to the thermostability of proteins. This study proposes a probabilistic Bayesian statistical method to efficiently predict the thermostability of proteins based on the properties of ion pairs. The experimental results suggest that the numbers, types and bond lengths of ion pairs can be used to predict with high accuracy (up to 80%) the thermostability of functionally similar proteins. The predictions have high precision (99%), especially for hyperthermophilic proteins. Results for proteins with differing functions also indicate that the number of ion pairs is related to the thermostability of proteins, and that predictions of thermostability can also be made for proteins with different functions.