Understanding signal transduction through functional proteomics

The study of signal transduction provides fundamental information regarding the regulation of all biologic processes that support the normal function of life. Functional proteomics, a rapidly emerging discipline that aims to understand the expression, function and regulation of the entire set of proteins in a given cell type, tissue or organism, offers unprecedented opportunity for signal transduction research in terms of understanding cellular behavior and regulation at the systems level. Indeed, swift progress in the area of proteomics has demonstrated the major impact of proteomic approaches on signal transduction and biomedical research. In this review, recent and innovative applications of functional proteomics in determining changes in protein contents, modifications, activities and interactions underpinning signaling transduction pathways are discussed.     

蛋白质组学方法在细胞内信号转导研究中的应用

蛋白质组学的新技术为我们研究细胞内的信号转导过程提供了更广泛和崭新的思路,它克服了传统技术的局限性,实现了对蛋白的高通量分析。简要综述了蛋白质组学技术在信号转导过程中信号分子的确定、定量,磷酸化等翻译后修饰的识别,以及蛋白质之间相互作用研究等方面的应用。     

污染胁迫下的蚯蚓蛋白质组学研究进展

随着蛋白质组学的发展和每年有大量环境污染物进入土壤环境中,污染胁迫模式动物的相关生物标志物受到日益关注。蚯蚓,作为土壤中最大的无脊椎动物,是研究和评价土壤生态污染良好的模式动物。研究蚯蚓的蛋白质组学,对于寻找环境生态污染相关生物标志物和阐明生态毒理学机制有着十分重要的现实意义。目前已知的污染胁迫下蚯蚓蛋白质组学研究,提供了几个特定污染物胁迫蚯蚓的蛋白表达谱。这些蛋白涉及许多生物学过程,例如信号传导、糖酵解、能量代谢、分子伴侣和转录调节,提示了相关污染物可能的生态毒理学机制,有望成为潜在的生物标志物,用于有毒污染物的监测,但其特异性需要进一步试验的验证。对蚯蚓受污染胁迫的蛋白质组表达谱及潜在生物标志物进行简要综述。     

快速构建蛋白质结构域克隆库的方法

对蛋白质组学的研究有许多不同的切入方法 .从研究的生物学意义和可行性考虑 ,提出从蛋白结构域入手进行蛋白质组学研究 .SH2 (Srchomology 2 )结构域是细胞信号转导中重要的元件之一 ,人SH2结构域共有约 12 0种 ,对其进行研究将深刻揭示细胞信号转导的规律 .为了得到人所有的SH2结构域序列及克隆 ,首先在公共数据库里检索出了人所有的SH2结构域序列 ,利用国际上现有的共享资源IMAGE(IntegratedMolecularAnalysisofGenomesandTheirExpression)克隆为PCR模板 ,解决了从cDNA文库中难以克隆低丰度结构域的问题 .利用有方向性的TOPO克隆技术提高克隆效率 ,从而快速高效地构建了包括 6 0个SH2结构域的克隆库 .克隆库可以方便地转换到GATEWAY系统具有各种用途的载体上 ,为SH2结构域的蛋白质组学研究奠定了坚实的基础     

Proteomic analysis of cellular signaling

Protein phosphorylation events are key regulators of cellular signaling processes. In the era of functional genomics, rational drug design programs demand large-scale high-throughput analysis of signal transduction cascades. Significant improvements in the area of mass spectrometry-based proteomics have provided exciting opportunities for rapid progress toward global protein phosphorylation analysis. This review summarizes several recent advances made in the field of phosphoproteomics with an emphasis placed on mass spectrometry instrumentation, enrichment methods and quantification strategies. In the near future, these technologies will provide a tool that can be used for quantitative investigation of signal transduction pathways to generate new insights into biologic systems.     

蛋白质芯片在蛋白质组学研究中的作用

蛋白质芯片是以高度并行性、高通量、微型化和自动化为特点的蛋白质组检测技术。本文综述了蛋白质芯片在蛋白质组学研究中的多种作用,包括普通蛋白质芯片在微量蛋白质分离、蛋白质与蛋白质之间以及蛋白质与其他小分子间相互作用和蛋白质定量检测方面的作用,普通蛋白质芯片通过与质谱技术、生物传感器技术的结合而拓展其应用范围,以及蛋白质组芯片、活性的蛋白质芯片在蛋白质组学研究中应用的进展。     

Comparative proteomics analysis of human stem cells from dental gingival and periodontal ligament

Dental stem cells isolated from oral tissues have been shown to provide with high proliferation ability and multilineage differentiation potential. Gingival mesenchymal stem cells (GMSCs) and periodontal ligament stem cells (PDLSCs), kinds of dental stem cells, can be used as substitutes for tissue repair materials because of their similar regenerative functions. In this study, we aim to explore the similarities and differences between the protein profiles of GMSCs and PDLSCs through quantitative proteomics. A total of 2821 proteins were identified and retrieved, of which 271 were upregulated and 57 were downregulated in GMSCs compared to PDLSCs. Gene Ontology (GO) analysis demonstrated that the 328 differentially abundant proteins (DAPs) were involved in the regulation of gene expression, metabolism, and signal transduction in biological process, mainly distributed in organelles related to vesicle transport, and involved in the molecular function of binding protein. And Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the DAPs were committed to regulating the synthesis of proteasome and spliceosome. Real-time quantitative polymerase chain reaction (RT-qPCR) results showed that ARPC1B, PDAP1, and SEC61B can be used as special markers to distinguish GMSCs from PDLSCs. This research contributes to explaining the molecular mechanism and promoting the clinical application of tissue regeneration of GMSCs and PDLSCs.     

植物抗逆相关蛋白激酶的结构与功能

植物在遭受外界逆境胁迫时,体内的信号传导系统能够感知、传递逆境胁迫信号,并引起各种生理生化反应以适应环境。植物蛋白激酶在信号感知、传导以及基因的表达调控中起重要的作用。蛋白激酶在信号传导过程的功能是磷酸化修饰目的蛋白,而磷酸化的实现需要蛋白质之间相互作用。本文从植物蛋白激酶的结构、分类、与激素信号传导之间的关系等方面进行了系统的阐述,对蛋白激酶介导的植物抗性与发育的最新研究进展进行了系统的总结,为解析蛋白激酶在植物生长发育中的抗逆机理提供依据。     

差异蛋白质组学的研究进展

差异蛋白质组是蛋白质组学研究的一个主要内容,其核心在于寻找某种特定臣寸素引起样本之间蛋白质组的差异,揭示并验证蛋白质组在生理或病理过程中的变化。进一步对蛋白质组差异信息分析后,理论上可以推断造成这种变化的原因。因此,对于临床上肿瘤预诊、药物靶标寻找、细胞调控分子的鉴别等有着极大的实际意义。差异蛋白质组研究要求可靠性和可重复性。因此,对于样本处理要求较高,激光微切割技术和高丰度蛋白去除技术的应用优化了样本处理方法。目前差异蛋白质组的主要研究方法仍是2-DE分离和MS鉴定联合应用,基于2-DE的2-DDIGE方法弥补了2-DE的弱点,更适用于差异蛋白质组研究。除2-DE技术外的其他几种技术手段,如多维液相色谱分离技术、ICAT技术、蛋白芯片技术等差异蛋白质组学研究技术可以作为2-DE技术的补充,甚至或替代技术。     

Delineating signal transduction pathways in smooth muscle through focused proteomics

This review will outline examples of the authors' focused proteomics approaches to studying signal transduction pathways in smooth muscle. By focusing the use of traditional proteomics techniques with hypothesis-driven selection methods, this approach efficiently addresses the identification of novel elements in a signal transduction pathway of interest. However, focused proteomics serves only as a starting point in the investigation of novel signaling proteins. While focused proteomics studies can suggest the involvement and general biochemical function of a protein in a signaling pathway, these findings must be further investigated and validated. Through the integrated use of focused proteomics with complementary approaches such as genetics, biochemistry and cell physiology, a complete and detailed mechanism of signal transduction can be determined.     

Quantitative proteomics and phosphoproteomics reveal novel insights into complexity and dynamics of the EGFR signaling network

The epidermal growth factor receptor (EGFR/ErbB1/Her1) belongs to the ErbB family of receptor tyrosine kinases (RTKs) and is a key player in the regulation of cell proliferation, differentiation, survival, and migration. Overexpression and mutational changes of EGFR have been identified in a variety of human cancers and the regulation of EGFR signaling plays a critical role in tumor development and progression. Due to its biological significance the EGFR signaling network is a widely used model system for the development of analytical techniques. Novel quantitative proteomics and phosphoproteomics approaches play an important role in the characterization of signaling pathways in a time and stimulus dependent manner. Recent studies discussed in this review provide new insights into different aspects of EGFR signal transduction, such as regulation and dynamics of its phosphorylation sites, association with interaction partners and identification of regulated phosphoproteins. Correlation of data from functional proteomics studies with results from other fields of signal transduction research by systems biology will be necessary to integrate and translate these findings into successful clinical applications.     

蛋白质组研究中的化学"探针"

随着蛋白质组学概念的提出以及诸如血浆蛋白质组等有影响力的计划开展, 蛋白质组研究迅速发展起来, 这门基于分析化学和物理化学的领域也逐渐为广大生物学家所关注, 同时也相应地在细胞生物学、生物化学等领域的研究中崭露头角。蛋白质表达量的变化以及各种各样的修饰无不反映出机体对环境变化的应激和自身功能的需要。因此, 定量蛋白质组和修饰化的蛋白质组成为了目前蛋白质组研究的重要领域之一。文章着重从采用化学标记实现定量和修饰化研究这个角度来介绍近些年来在这方面取得的进展, 希望对生物学领域的研究有所借鉴。     

微生物蛋白质组学的定量分析

越来越多的微生物基因组序列数据为系统地研究基因的调节和功能创造了有利条件.由于蛋白质是具有生物功能的分子,蛋白质组学在微生物基因组的功能研究中异军突起、蓬勃发展.微生物蛋白质组学的基本原则是,用比较研究来阐明和理解不同微生物之间或不同生长条件下基因的表达水平.显而易见,定量分析技术是比较蛋白质组学中急需发展的核心技术.对蛋白质组学定量分析技术在微生物蛋白质组研究中的进展进行了综述.     

Functional proteomics to identify critical proteins in signal transduction pathways

Reversible protein phosphorylation plays a crucial role in the regulation of signaling pathways that control various biological responses, such as cell growth, differentiation, invasion, metastasis and apoptosis. Proteomics is a powerful research approach for fully monitoring global molecular responses to the activation of signal transduction pathways. Identification of different phosphoproteins and their phosphorylation sites by functional proteomics provides informational insights into signaling pathways triggered by all kinds of factors. This review summarizes how functional proteomics can be used to answer specific questions related to signal transduction systems of interest. By examining our own example on identifying the novel phosphoproteins in signaling pathways activated by EB virus-encoded latent membrane protein 1 (LMP1), we demonstrated a functional proteomic strategy to elucidate the molecular activity of phosphorylated annexin A2 in LMP1 signaling pathway. Functional profiling of signaling pathways is promising for the identification of novel targets for drug discovery and for the understanding of disease pathogenesis.     

Thiol redox proteomics: Characterization of thiol-based post-translational modifications

Redox post-translational modifications on cysteine thiols (redox PTMs) have profound effects on protein structure and function, thus enabling regulation of various biological processes. Redox proteomics approaches aim to characterize the landscape of redox PTMs at the systems level. These approaches facilitate studies of condition-specific, dynamic processes implicating redox PTMs and have furthered our understanding of redox signaling and regulation. Mass spectrometry (MS) is a powerful tool for such analyses which has been demonstrated by significant advances in redox proteomics during the last decade. A group of well-established approaches involves the initial blocking of free thiols followed by selective reduction of oxidized PTMs and subsequent enrichment for downstream detection. Alternatively, novel chemoselective probe-based approaches have been developed for various redox PTMs. Direct detection of redox PTMs without any enrichment has also been demonstrated given the sensitivity of contemporary MS instruments. This review discusses the general principles behind different analytical strategies and covers recent advances in redox proteomics. Several applications of redox proteomics are also highlighted to illustrate how large-scale redox proteomics data can lead to novel biological insights.     

蛋白质组学研究相关技术及进展

蛋白质组学以蛋白质组为研究对象,应用相关研究技术,从整体水平上来认识蛋白的存在及活动方式。随着人类基因组计划的完成,蛋白质组学的研究也得到了快速发展,与蛋白质组学研究相关的一些技术也日益得到完善和提高。简要综述了近年来蛋白质组学研究中最为重要的样品制备、蛋白质分离、蛋白质鉴定等技术及研究进展。     

Population proteomics: addressing protein diversity in humans

In the past several years, proteomics and its subdiscipline clinical proteomics have been engaged in the discovery of the next generation protein of biomarkers. As the effort and the intensive debate it has sparked continue, it is becoming apparent that a paradigm shift is needed in proteomics in order to truly comprehend the complexity of the human proteome and assess its subtle variations among individuals. This review introduces the concept of population proteomics as a future direction in proteomics research. Population proteomics is the study of protein diversity in human populations. High-throughput, top-down mass spectrometric approaches are employed to investigate, define and understand protein diversity and modulations across and within populations. Population proteomics is a discovery-oriented endeavor with a goal of establishing the incidence of protein structural variations and quantitative regulation of these modifications. Assessing human protein variations among and within populations is viewed as a paramount undertaking that can facilitate clinical proteomics’ effort in discovery and validation of protein features that can be used as markers for early diagnosis of disease, monitoring of disease progression and assessment of therapy. This review outlines the growing need for analyzing individuals’ proteomes and describes the approaches that are likely to be applied in such a population proteomics endeavor.     

Label‐free quantitative proteome analysis of skeletal tissues under mechanical load

Skeletal tissue has the capability to adapt its mass and structure in response to mechanical stress. However, the molecular mechanism of bone and cartilage to respond to mechanical stress are not fully understood. A label‐free quantitative proteome approach was used for the first time to obtain a global perspective of the response of skeletal tissue to mechanical stress. Label‐free quantitative analysis of 1D‐PAGE‐LC/MS/MS based proteomics was applied to identify differentially expressed proteins. Differential expression analysis in the experimental groups and control group showed significant changes for 248 proteins including proteins related to proliferation, differentiation, regulation of signal transduction and energy metabolic pathways. Fluorescence labeling by incorporation of alizarin/calcein in newly formed bone minerals qualitatively demonstrated new bone formation. Skeletal tissues under mechanical load evoked marked new bone formation in comparison with the control group. Bone material apposition was evident. Our data suggest that 39 proteins were assigned a role in anabolic process. Comparisons of anabolic versus catabolic features of the proteomes show that 42 proteins were related to catabolic. In addition, some proteins were related to regulation of signal transduction and energy pathways, such as tropomyosin 4, fibronectin 1, and laminin, might be new molecular targets that are responsive to mechanical force. Differentially expressed proteins identified in this model may offer a useful starting point for elucidating novel aspects of the effects of mechanical force on skeletal tissue. J. Cell. Biochem. 108: 600–611, 2009. © 2009 Wiley‐Liss, Inc.     

Identification of novel MAP kinase pathway signaling targets by functional proteomics and mass spectrometry

Functional proteomics provides a powerful method for monitoring global molecular responses following activation of signal transduction pathways, reporting altered protein posttranslational modification and expression. Here we combine functional proteomics with selective activation and inhibition of MKK1/2, in order to identify cellular targets regulated by the MKK/ERK cascade. Twenty-five targets of this signaling pathway were identified, of which only five were previously characterized as MKK/ERK effectors. The remaining targets suggest novel roles for this signaling cascade in cellular processes of nuclear transport, nucleotide excision repair, nucleosome assembly, membrane trafficking, and cytoskeletal regulation. This study represents an application of functional proteomics toward identifying regulated targets of a discrete signal transduction pathway and demonstrates the utility of this discovery-based strategy in elucidating novel MAP kinase pathway effectors.