蛋白质组学研究中的一种新方法——配体垂钓

基于表面等离子共振技术的配体垂钓技术能在蛋白质组水平上研究蛋白质的相互作用与功能,提供控制细胞功能的新靶标．其通过将受体固定在芯片表面,当被检测样品流过芯片表面时,配体与受体相结合, 实现俘获未知的相互作用的伙伴蛋白或复合体,并结合质谱技术鉴定出未知蛋白及其序列．     

高通量蛋白质组学研究中一种基于 GO 的蛋白质功能分析策略

挖掘高通量实验数据蕴含的生物学意义是蛋白质组学研究面临的一大挑战 . 基于等级化结构化的词汇表 GO (Gene Ontology) 和相关数据库中的蛋白质功能注释,发展了一种对蛋白质组学研究中得到的表达谱 (Expression profile) 进行功能分析的策略 . 在对蛋白质表达谱进行功能注释的基础上给出蛋白质表达谱中蛋白质功能的分布,同时给出感兴趣功能类别的统计信息 . 这有助于对表达谱蛋白质功能的整体理解和深入的生物信息学分析 . 该策略已经成功应用胎肝蛋白表达谱研究中,用户可以通过访问网址 http://www.hupo.org.cn/GOfact/ 使用或者下载我们的程序 .     

邻位连接技术：一种新的高灵敏度蛋白质检测技术

蛋白质组学(proteomics)诞生以来,高效准确的蛋白质检测技术受到越来越多的关注.最近 ,一种高灵敏度的蛋白质检测技术,邻位连接技术(proximity ligation assay, PLA)被建 立.该技术采用核酸适体(aptamer)或单/多克隆抗体 核酸复合物作为邻位连接探针(proximity probes).当一对邻位探针同时识别同一个目标蛋白分子时,它们将在空间位置上相互临近,通过连接反应形成一段可扩增的DNA标签序列,该标签序列能够反映待测蛋白的种类及浓度.该技术将对蛋白质的检测转变为对DNA核酸序列的检测,实现了特殊蛋白质的检测,定量及定位.文章从该方法的产生背景,发展过程,原理以及探针制备等方面对该方法进行了系统的介绍,列举了该方法的几种重要应用,并对该方法在蛋白质组学研究领域的应用前景进行了展望.     

蛋白质组学技术在神经系统疾病研究中的作用

双向凝胶电泳和质谱等方法都是蛋白质组学(Proteomics)技术的重要方法。应用蛋白质组学技术可以同时研究大量蛋白质的功能、组成,多样性及其动态变化。神经科学的许多问题可以借助于这个新的工具平台获得解决,因此,蛋白质组学的发展,将为神经疾病发病机制的深入研究,以及相关的药物开发提供一个崭新的发展机遇。     

新的用于蛋白质组学研究的二维蛋白质分析系统

蛋白质组学是生物技术领域的"新鲜事物",热衷于这一领域的学者正在争相研究人体内蛋白质的种类,以及蛋白质分子之间形成网络结构的机理.这些努力会给人类带来更多、更好的药物.     

蛋白质组学研究技术及其联合应用

蛋白质组学是研究细胞、组织和器官内所有蛋白质的组成及其动态变化的科学,是在蛋白质水平上定量的、动态的、整体的研究生物体。目前蛋白质组学技术分为样品制备、分离和鉴定3个方面,其新技术主要有激光捕捉显微解剖法、离心超滤法、双向凝胶电泳、同位素亲和标签技术、色谱技术以及质谱技术等。然而,任何一种蛋白质组学研究技术都有其缺陷。因此多种技术的联合应用能使蛋白质组研究更精确和完整,是蛋白质组学的发展趋势。     

中国蛋白质组学研究进展——以人类肝脏蛋白质组计划和蛋白质组学技术发展为主题

蛋白质组学是对细胞或生物体全部蛋白质的系统鉴定、定量并阐释其生物学功能的学科.自21世纪初期开始,随着高精度、高灵敏度和快速扫描质谱仪的出现和快速发展以及微量蛋白质组样品高效分离技术的进步,蛋白质组学获得了快速发展,并在生理过程与病理机制研究等几乎所有生命科学研究领域得到了广泛的应用.过去10年,中国蛋白质组学研究在政府的支持和广大蛋白质组学研究人员的努力下呈现出腾飞式的发展态势.本文综述了人类肝脏蛋白质组计划和2010~2013年中国蛋白质组学技术的发展.     

蛋白质组研究新前沿：定量蛋白质组学

在过去几年里,蛋白质组研究取得了令人鼓舞的进展,2DE-MS途径的自动化,多维色谱整合串联质谱的使用,弥补了一些用双向凝胶电泳分离蛋白质的技术缺陷;从稳定同位素标记到ICAT战略的提出,为准确定量在细胞或组织中发挥重要调节功能的低丰度蛋白质提供了一个较为理想的方法。同时,蛋白质芯片技术的不断发展,也极大的丰富了定量蛋白质组学的研究。就定量蛋白质组学及其相关技术研究进展作一简要综述。     

蛋白质基因组学：运用蛋白质组技术注释基因组

随着高通量DNA测序技术的飞速发展,越来越多的物种完成了基因组测序．定位编码基因、确定编码基因结构是基因组注释的基本任务,然而以往的基因组注释方法主要依赖于DNA及RNA序列信息．为了更加精确地解读完成测序的基因组,我们需要整合多种类型的组学数据进行基因组注释．近年来,基于串联质谱技术的蛋白质组学已经发展成熟,实现了对蛋白质组的高覆盖,使得利用串联质谱数据进行基因组注释成为可能．串联质谱数据一方面可以对已注释的基因进行表达验证,另一方面还可以校正原注释基因,进而发现新基因,实现对基因组序列的重新注释．这正是当前进展较快的蛋白质基因组学的研究内容．利用该方法系统地注释已完成测序的基因组已成为解读基因组的一个重要补充．本文综述了蛋白质基因组学的主要研究内容和研究方法,并展望了该研究方向未来的发展．     

膜整合蛋白质的“鸟枪法”蛋白质组学分析策略

疾病状态下生物膜表面蛋白质分子标记的表达量和修饰状态会发生改变。但由于其低丰度和不易溶解等特性,制约了膜蛋白质组学的研究,同时也制约了相关药物靶标的设计。近年来,为克服这些困难,学者们提出了"鸟枪法"的膜蛋白质组学研究策略。基于此,本文论述了"鸟枪法"的蛋白质组学分析的基本过程及其后续的部分改进工作。随着新的策略不断被采用,更多膜蛋白质的拓扑学特征和功能的相关研究一定会走上新的台阶。     

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.     

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.     

Thermal proteome profiling of breast cancer cells reveals proteasomal activation by CDK4/6 inhibitor palbociclib

Palbociclib is a CDK4/6 inhibitor approved for metastatic estrogen receptor‐positive breast cancer. In addition to G1 cell cycle arrest, palbociclib treatment results in cell senescence, a phenotype that is not readily explained by CDK4/6 inhibition. In order to identify a molecular mechanism responsible for palbociclib‐induced senescence, we performed thermal proteome profiling of MCF7 breast cancer cells. In addition to affecting known CDK4/6 targets, palbociclib induces a thermal stabilization of the 20S proteasome, despite not directly binding to it. We further show that palbociclib treatment increases proteasome activity independently of the ubiquitin pathway. This leads to cellular senescence, which can be counteracted by proteasome inhibitors. Palbociclib‐induced proteasome activation and senescence is mediated by reduced proteasomal association of ECM29. Loss of ECM29 activates the proteasome, blocks cell proliferation, and induces a senescence‐like phenotype. Finally, we find that ECM29 mRNA levels are predictive of relapse‐free survival in breast cancer patients treated with endocrine therapy. In conclusion, thermal proteome profiling identifies the proteasome and ECM29 protein as mediators of palbociclib activity in breast cancer cells.     

Serum proteome profiling for diagnostics of ovarian cancer using ClinProt magnetic technique and MALDI-TOF mass spectrometry

Using ClinProt magnetic beads with reverse-phase (MB-HIC 8 and HB-HIC 18), weak cation exchange (MB-WCX) and metal affinity (MB-IMAC Cu) surfaces fractions of peptides and proteins were isolated from human sera for their profiling by MALDI-TOF mass spectrometry. Proteome profiling of sera from basically healthy women (47 subjects, average age 49) and from women with verified ovarian cancer (stages 1-IV, 47 patients, average age 51) by means of MB-WCX beads allowed to generate the best diagnostic models based on Genetic Algorithm and Supervised Neural Network classifiers; these models demonstrated 100% sensitivity and specificity during analysis of the test set. Introduction of additional sera from patients with colorectal cancer (19) and ulcerous colitis (5) to the statistical model confirmed 100% ovarian cancer recognition. Statistical analysis of mass-spectrometry peak areas included to the diagnostic classifiers showed 3 peaks characteristic for ovarian cancer and 4 peak areas exhibiting changes associated with both ovarian and colorectal cancer.     

Solvent-induced proteome profiling for proteomic quantitation and target discovery of small molecular drugs

Target identification by modification-free proteomic approaches can potentially reveal the pharmacological mechanism of small molecular compounds. By combining the recent solvent-induced protein precipitation (SIP) method with TMT-labeling quantitative proteomics, we propose solvent-induced proteome profiling (SIPP) approach to identify small molecule–protein interactions. The SIPP approach enables to depict denaturation curves of the target protein by varying concentrations of organic solvents to induce unfolding and precipitation of the cellular proteome. By using this approach, we have successfully identified the known targets of market drugs and natural products and extended the proteome information of SIP for target identification.     

A Simplified Thermal Proteome Profiling Approach to Screen Protein Targets of a Ligand

Thermal proteome profiling is a powerful energetic‐based chemical proteomics method to reveal the ligand‐protein interaction. However, the costly multiplexed isotopic labeling reagent, mainly Multiplexed isobaric tandem mass tag (TMT), and the long mass spectrometric time limits the wide application of this method. Here a simple and cost‐effective strategy by using dimethyl labeling technique instead of TMT labeling is reported to quantify proteins and by using the peptides derived from the same protein to determine significantly changed proteins in one LC‐MS run. This method is validated by identifying the known targets of methotrexate and geldanamycin. In addition, several potential off‐targets involved in detoxification of reactive oxygen species pathway are also discovered for geldanamycin. This method is further applied to map the interactome of adenosine triphosphate (ATP) in the 293T cell lysate by using ATP analogue, adenylyl imidodiphosphate (AMP‐PNP), as the ligand. As a result, a total of 123 AMP‐PNP‐sensitive proteins are found, of which 59 proteins are stabilized by AMP‐PNP. Approximately 53% and 20% of these stabilized candidate protein targets are known as ATP and RNA binding proteins. Overall, above results demonstrated that this approach could be a valuable platform for the unbiased target proteins identification with reduced reagent cost and mass spectrometric time.     

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.     

The dynamics of the proteome: strategies for measuring protein turnover on a proteome-wide scale.

Quantitative proteomics captures the steady-state amount of a protein in a cell but does not explain how a change in protein amount is manifest -- whether through a change in synthesis or a change in degradation. If we are to understand the changes in the proteome, we will need to define such processes. In this brief review, strategies for the determination of intracellular protein dynamics on a proteome-wide scale are discussed.