Proteogenomics: needs and roles to be filled by proteomics in genome annotation

While genome sequencing efforts reveal the basic building blocksof life, a genome sequence alone is insufficient for elucidatingbiological function. Genome annotation—the process ofidentifying genes and assigning function to each gene in a genomesequence—provides the means to elucidate biological functionfrom sequence. Current state-of-the-art high-throughput genomeannotation uses a combination of comparative (sequence similaritydata) and non-comparative (ab initio gene prediction algorithms)methods to identify protein-coding genes in genome sequences.Because approaches used to validate the presence of predictedprotein-coding genes are typically based on expressed RNA sequences,they cannot independently and unequivocally determine whethera predicted protein-coding gene is translated into a protein.With the ability to directly measure peptides arising from expressedproteins, high-throughput liquid chromatography-tandem massspectrometry-based proteomics approaches can be used to verifycoding regions of a genomic sequence. Here, we highlight severalways in which high-throughput tandem mass spectrometry-basedproteomics can improve the quality of genome annotations andsuggest that it could be efficiently applied during the genecalling process so that the improvements are propagated throughthe subsequent functional annotation process.      

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．     

蛋白质结构与相互作用研究新方法——交联质谱技术

蛋白质的空间结构信息以及蛋白质间的相互作用信息对于研究蛋白质的功能有重要意义.研究蛋白质结构与相互作用的传统技术,如核磁共振技术、X射线晶体衍射技术等,对于蛋白质的纯度、结晶性和绝对量均有比较高的要求,限制了其广泛应用.交联质谱技术是近十多年来发展起来的新技术,它将质谱技术与交联技术相结合,在研究蛋白质结构与相互作用方面具有速度快、成本小、蛋白质各方面性状要求低等优势.本文就交联质谱技术各个环节的技术方法加以综述,包括交联质谱实验分离富集技术、常见交联剂特性、交联质谱数据库搜索算法、结果验证研究和交联质谱技术的应用等方面,并展望了该研究方向未来的发展.     

蛋白质点阵/芯片技术的新进展

蛋白质点阵/芯片技术是分子生物学技术的重要进展,在功能蛋白质组研究方面具有广阔的潜在应用价值.目前发展起来的印迹蛋白微阵列、分子扫描技术和传感器生物芯片质谱,将应用于药靶检测、疾病诊断、蛋白质结构鉴定和/或蛋白质之间的相互作用分析等方面,具有分析速度快、效率高、样品消耗少等特点,将成为生命科学与医学领域新的研究工具.     

Small proteins in bacteria – Big challenges in prediction and identification

Proteins with up to 100 amino acids have been largely overlooked due to the challenges associated with predicting and identifying them using traditional methods. Recent advances in bioinformatics and machine learning, DNA sequencing, RNA and Ribo-seq technologies, and mass spectrometry (MS) have greatly facilitated the detection and characterisation of these elusive proteins in recent years. This has revealed their crucial role in various cellular processes including regulation, signalling and transport, as toxins and as folding helpers for protein complexes. Consequently, the systematic identification and characterisation of these proteins in bacteria have emerged as a prominent field of interest within the microbial research community. This review provides an overview of different strategies for predicting and identifying these proteins on a large scale, leveraging the power of these advanced technologies. Furthermore, the review offers insights into the future developments that may be expected in this field.     

Mapping Relative Differences in Human Salivary Gland Secretions by Dried Saliva Spot Sampling and nanoLC–MS/MS

Dried saliva spot sampling is a minimally invasive technique for the spatial mapping of salivary protein distribution in the oral cavity. In conjunction with untargeted nano‐flow liquid chromatography tandem mass spectrometry (nanoLC–MS/MS) analysis, DSS is used to compare the proteomes secreted by unstimulated parotid and submandibular/sublingual salivary glands. Two hundred and twenty proteins show a statistically significant association with parotid gland secretion, while 30 proteins are at least tenfold more abundant in the submandibular/sublingual glands. Protein identifications and label‐free quantifications are highly reproducible across the paired glands on three consecutive days, enabling to establish the core proteome of glandular secretions categorized into eight salivary protein groups according to their biological functions. The data suggest that the relative contributions of the salivary glands fine‐tune the biological activity of human saliva via medium‐abundant proteins. A number of biomarker candidates for Sjögren's syndrome are observed among the gland‐specifically expressed proteins, which indicates that glandular origin is an important factor to consider in salivary biomarker discovery.     

Principles and applications of Multidimensional Protein Identification Technology

Multidimensional chromatography coupled to tandem mass spectrometry is an emerging technique for the analysis of proteomes and is rapidly being implemented by many researchers for proteomic analysis. In this technology profile, a particular proteomic approach known as multidimensional protein identification technology (MudPIT) is discussed. In MudPIT, a biphasic microcapillary column is packed with high-performance liquid chromatography grade reversed phase and strong cation exchange packing materials, loaded with a complex peptide mixture and placed in line with quaternary high-performance liquid chromatography and a tandem mass spectrometer. MudPIT has the capability to analyze highly complex proteomic mixtures such as whole proteomes, organelles and protein complexes.     

Drosophila Protein interaction Map (DPiM): A paradigm for metazoan protein complex interactions

Proteins perform essential cellular functions as part of protein complexes, often in conjunction with RNA, DNA, metabolites and other small molecules. The genome encodes thousands of proteins but not all of them are expressed in every cell type; and expressed proteins are not active at all times. Such diversity of protein expression and function accounts for the level of biological intricacy seen in nature. Defining protein-protein interactions in protein complexes, and establishing the when, what and where of potential interactions, is therefore crucial to understanding the cellular function of any protein—especially those that have not been well studied by traditional molecular genetic approaches. We generated a large-scale resource of affinity-tagged expression-ready clones and used co-affinity purification combined with tandem mass-spectrometry to identify protein partners of nearly 5,000 Drosophila melanogaster proteins. The resulting protein complex “map” provided a blueprint of metazoan protein complex organization. Here we describe how the map has provided valuable insights into protein function in addition to generating hundreds of testable hypotheses. We also discuss recent technological advancements that will be critical in addressing the next generation of questions arising from the map.     

Drosophila Protein interaction Map (DPiM)

Proteins perform essential cellular functions as part of protein complexes, often in conjunction with RNA, DNA, metabolites and other small molecules. The genome encodes thousands of proteins but not all of them are expressed in every cell type; and expressed proteins are not active at all times. Such diversity of protein expression and function accounts for the level of biological intricacy seen in nature. Defining protein-protein interactions in protein complexes, and establishing the when, what and where of potential interactions, is therefore crucial to understanding the cellular function of any protein—especially those that have not been well studied by traditional molecular genetic approaches. We generated a large-scale resource of affinity-tagged expression-ready clones and used co-affinity purification combined with tandem mass-spectrometry to identify protein partners of nearly 5,000 Drosophila melanogaster proteins. The resulting protein complex “map” provided a blueprint of metazoan protein complex organization. Here we describe how the map has provided valuable insights into protein function in addition to generating hundreds of testable hypotheses. We also discuss recent technological advancements that will be critical in addressing the next generation of questions arising from the map.     

现代质谱技术在蛋白质组学中的应用及其最新进展

简述了蛋白质组学的概念、内容和意义,重点综述了现代质谱技术在蛋白质组学中的应用,主要包括蛋白质和肽段的鉴定和定量、蛋白质翻译后修饰的鉴定和蛋白质间相互作用的检测等。随着新的高质量精确度、分辨率、灵敏度和通量质谱仪的出现,现代质谱技术在蛋白质组学中的应用将越来越广泛,并给蛋白质组学研究带来新的机遇。     

RBPMS不同剪接体的真核表达和亚细胞定位

目的：构建具有多种剪接形式的RNA结合蛋白（RBPMS）基因的真核表达载体,并在真核细胞中表达,确定不同形式的RBPMS在细胞中的定位。方法：采用PCR技术从人卵巢cDNA文库中扩增RBPMS基因的几种完整编码序列（命名为RBPl～RBP4）,克隆到带绿色荧光蛋白标签的pEGFP-C1表达载体上,转染人胚肾细胞293T,Western印迹鉴定RBPMS的表达,并利用激光共聚焦显微镜观察RBPMS不同剪接体在细胞中的定位。结果：限制性内切酶分析和DNA序列测定表明构建的重组表达载体正确,Western印迹实验证明RBP1～RBP4表达成功。通过激光共聚焦显微镜观察,RBP1／4围绕胞核在核膜的周围呈聚集状分布;RBP2则在细胞质和细胞核中均有分布,但会出现斑点状聚集;RBP3呈半月状紧密分布在细胞核周围;RBPMS中的RNA识别基序缺失后,这种现象消失,与空载体对照类似,在细胞核和细胞质中均有分布。结论：构建并表达了RBPMS基因的真核表达载体,RBPMS不同剪接体及RNA识别基序缺失后具有不同的亚细胞分布模式,提示具有不同的功能。     

串联质谱数据的从头解析与蛋白质的数据库搜索鉴定

蛋白质的鉴定是蛋白质组学研究中必不可少的一步。用串联质谱 (tandemmassspectrometry ,MS/MS)可以进行多肽的从头测序 (denovosequencing) ,并搜索数据库以鉴定蛋白质。用图论以及真实谱 理论谱联配 (alignment)的方法对串联质谱得到的多肽图谱进行从头解析 ,得到了可靠的多肽序列 ,并应用到数据库搜索中鉴定了相应的蛋白质。同时 ,还用统计的方法对SwissProt以及TrEMBL蛋白质数据库进行了详细的分析。结果表明 ,3个四肽或者 2个五肽或者 1个八肽一般可以唯一地确定一个蛋白质     

RNA结合蛋白RBM6的研究进展

RBM6(RNA binding motif protein 6)是一种RNA结合蛋白,存在5种可变剪接体.以往的研究发现:与正常组织相比,这些剪接体在肺癌和乳腺癌等肿瘤组织中的表达均有显著变化,但其功能尚不清楚.越来越多的研究显示,RBM6可能是肿瘤进展中的一个重要的调控因子.该文将从RBM6的基因与蛋白结构、作用机...     

Proteogenomics of glioblastoma associates molecular patterns with survival

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BcL2蛋白质家族——定位与转位

Bcl-2蛋白质家族的抗凋亡和促凋亡成员,在线粒体水平上决定细胞的存活或死亡.在正常细胞中,这些成员呈现功能适应性的细胞内分布;抗凋亡成员主要定位于细胞内膜系特别是线粒体外膜上：但绝大多数促凋亡成员主要分布于细胞浆中.细胞接受死亡信号后,Bcl-2家族成员本身受到一系列的调节,如磷酸化、裂解、蛋白质-蛋白质相互作用等,结果之一是促凋亡成员发生细胞内定位的改变,从细胞浆转位于线粒体膜上,并引发线粒体功能异常及其内外膜间致凋亡因子的释放,最终导致细胞凋亡.     

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.     

蛋白质体积对其亚细胞定位的影响

蛋白质亚细胞定位信息对深入研究蛋白质的细胞生物学功能十分重要.通过Helix Systems在线计算程序和Vor计算程序两种方法讨论了蛋白质的体积对其亚细胞定位的影响,发现定位于细胞外的蛋白质体积显著小于定位于细胞核、细胞膜和细胞质的蛋白体积,证实了体积参数对区分蛋白质的亚细胞定位是有效的.     

The synaptic vesicle proteome

Synaptic vesicles are key organelles in neurotransmission. Vesicle integral or membrane-associated proteins mediate the various functions the organelle fulfills during its life cycle. These include organelle transport, interaction with the nerve terminal cytoskeleton, uptake and storage of low molecular weight constituents, and the regulated interaction with the pre-synaptic plasma membrane during exo- and endocytosis. Within the past two decades, converging work from several laboratories resulted in the molecular and functional characterization of the proteinaceous inventory of the synaptic vesicle compartment. However, up until recently and due to technical difficulties, it was impossible to screen the entire organelle thoroughly. Recent advances in membrane protein identification and mass spectrometry (MS) have dramatically promoted this field. A comparison of different techniques for elucidating the proteinaceous composition of synaptic vesicles revealed numerous overlaps but also remarkable differences in the protein constituents of the synaptic vesicle compartment, indicating that several protein separation techniques in combination with differing MS approaches are required to identify and characterize the synaptic vesicle proteome. This review highlights the power of various gel separation techniques and MS analyses for the characterization of the proteome of highly purified synaptic vesicles. Furthermore, the newly detected protein assignments to synaptic vesicles, especially those proteins which are new to the inventory of the synaptic vesicle proteome, are critically discussed.     

人类蛋白质组表达谱蛋白质鉴定的分步搜索策略

大规模蛋白质组表达谱研究的蛋白质鉴定一般采取基于数据库搜索的策略,因此数据库的选择及搜索策略在蛋白质鉴定中非常重要。现有的人类蛋白质数据库远不够完善,而从其他物种的蛋白质数据库中所能得到的补充非常有限,但人类基因组数据库中却可能含有很大的补充空间。在对国际人类蛋白质数据库充分调研、比较的基础上,提出了一种分步搜索的策略。这种策略首先利用一个质量较高、覆盖率相对较大的非冗余数据库进行基本鉴定,随后利用其他蛋白和核酸数据库进行补充鉴定和新蛋白挖掘。该策略能有效地鉴定尽可能多的高可靠蛋白,并能进一步充分利用质谱数据进行补充鉴定和新蛋白挖掘,对大规模蛋白质组表达谱研究具有重要的意义。