后基因组时代生物信息学的发展趋势

介绍生物信息学产生背景、发展过程以及研究现状,讨论了后基因组时代分子生物学的主要研究领域功能基因组学、蛋白质组学、比较基因组学、药物基因组学之间的关系。在分析基因组时代和后基因组时代生物信息学所研究内容的差异基础上．说明了基于分层递阶结构的系统结构、特征分析方法以及相应的软件系统开发将成为生物信息学发展的基本趋势之一。     

Proteomics in biomarker discovery and drug development

Proteomics is a research field aiming to characterize molecular and cellular dynamics in protein expression and function on a global level. The introduction of proteomics has been greatly broadening our view and accelerating our path in various medical researches. The most significant advantage of proteomics is its ability to examine a whole proteome or sub-proteome in a single experiment so that the protein alterations corresponding to a pathological or biochemical condition at a given time can be considered in an integrated way. Proteomic technology has been extensively used to tackle a wide variety of medical subjects including biomarker discovery and drug development. By complement with other new technique advances in genomics and bioinformatics, proteomics has a great potential to make considerable contribution to biomarker identification and to revolutionize drug development process. This article provides a brief overview of the proteomic technologies and their application in biomarker discovery and drug development.     

Expressed sequence tag (EST) analysis of Gregarine gametocyst development

Gregarines are protozoan parasites of invertebrates in the phylum Apicomplexa. We employed an expressed sequence tag strategy in order to dissect the molecular processes of sexual or gametocyst development of gregarines. Expressed sequence tags provide a rapid way to identify genes, particularly in organisms for which we have very little molecular information. Analysis of approximately 1800 expressed sequence tags from the gametocyst stage revealed highly expressed genes related to cell division and differentiation. Evidence was found for the role of degradation and recycling in gametocyst development. Numerous additional genes uncovered by expressed sequence tag sequencing should provide valuable tools to investigate gametocyst development as well as for molecular phylogenetics, and comparative genomics in this important group of parasites.     

丝状真菌蛋白质组学研究进展

丝状真菌不仅是致病菌,而且在异源表达工业酶、化学制品以及药物活性物质中发挥着越来越重要的作用。随着人类基因组计划的实施和推进,生命科学研究已进入了功能基因组时代,特别是蛋白质组学,在蛋白质水平对丝状真菌细胞生命过程中蛋白质功能和蛋白质之间的相互作用以及特殊条件下的变化机制进行研究,对生命的复杂活动进行深入而又全面的认识也为丝状真菌工业酶制剂和重组药物的开发提供广阔的创新空间。本文综述了蛋白质组学的研究内容和方法,总结了其在丝状真菌致病菌、抗生素产生菌和纤维素酶产生菌中的应用现状。不同层次的功能基因组学分析可以从各个角度掌握生物体的代谢网络和调控机制,本文还对蛋白质组学以及功能基因组学各部分内容的整合运用进行了展望。     

Novel inhibitors of bacterial cell wall synthesis

Over the past forty years, efforts to discover antibacterials have yielded a wide variety of chemical structures, almost exclusively natural products, which inhibit many steps in cell wall synthesis. Although screening for new cell wall inhibitors has been continuous during that period, there have been few reports of new drugs. With the advent of genomics, high resolution X-ray crystallography and the recognition of the need for new antibiotics to combat resistant organisms, there has been a resurgence in interest in this validated target area.     

An automated system designed for large scale NMR data deposition and annotation: application to over 600 assigned chemical shift data entries to the BioMagResBank from the Riken Structural Genomics/Proteomics Initiative internal database

Biomolecular NMR chemical shift data are key information for the functional analysis of biomolecules and the development of new techniques for NMR studies utilizing chemical shift statistical information. Structural genomics projects are major contributors to the accumulation of protein chemical shift information. The management of the large quantities of NMR data generated by each project in a local database and the transfer of the data to the public databases are still formidable tasks because of the complicated nature of NMR data. Here we report an automated and efficient system developed for the deposition and annotation of a large number of data sets including (1)H, (13)C and (15)N resonance assignments used for the structure determination of proteins. We have demonstrated the feasibility of our system by applying it to over 600 entries from the internal database generated by the RIKEN Structural Genomics/Proteomics Initiative (RSGI) to the public database, BioMagResBank (BMRB). We have assessed the quality of the deposited chemical shifts by comparing them with those predicted from the PDB coordinate entry for the corresponding protein. The same comparison for other matched BMRB/PDB entries deposited from 2001-2011 has been carried out and the results suggest that the RSGI entries greatly improved the quality of the BMRB database. Since the entries include chemical shifts acquired under strikingly similar experimental conditions, these NMR data can be expected to be a promising resource to improve current technologies as well as to develop new NMR methods for protein studies.     

Arabidopsis thaliana and its wild relatives: a model system for ecology and evolution

The postgenomics era will bring many changes to ecology and evolution. Information about genomic sequence and function provides a new foundation for organismal biology. The crucifer Arabidopsis thaliana and its wild relatives will play an important role in this synthesis of genomics and ecology. We discuss the need for model systems in ecology, the biology and relationships of crucifers, and the molecular resources available for these experiments. The scientific potential of this model system is illustrated by several recent studies in plant–insect interactions, developmental plasticity, comparative genomics and molecular evolution.     

植物与病原菌互作的蛋白质组学研究进展

蛋白质组学作为功能基因组学研究的主要内容之一,在阐述基因功能、了解生命现象和本质的分子机制等方面发挥着重要作用。植物蛋白质组学作为蛋白质组学的一个分支,研究应用也越来越广泛,尤其是探索植物与病原菌互作机制是其中的一个研究热点。本文就多年来植物与真菌、病毒、细菌互作的蛋白质组学研究做一综述,并对当前该领域今后的研究方向进行展望,以期为相关研究提供一些参考和理论基础。     

NanoLC-FT-ICR MS improves proteome coverage attainable for approximately 3000 laser-microdissected breast carcinoma cells

Proteomics assays hold great promise for unraveling molecular events that underlie human diseases. Effective analysis of clinical samples is essential, but this task is considerably complicated by tissue heterogeneity. Laser capture microdissection (LCM) can be used to selectively isolate target cells from their native tissue environment. However, the small number of cells that is typically procured by LCM severely limits proteome coverage and biomarker discovery potential achievable by conventional proteomics platforms. Herein, we describe the use of nanoLC-FT-ICR MS for analyzing protein digests of 3000 LCM-derived tumor cells from breast carcinoma tissue, corresponding to 300 ng of total protein. A total of 2282 peptides were identified by matching LC-MS data to accurate mass and time (AMT) tag databases that were previously established for human breast (cancer) cell lines. One thousand and three unique proteins were confidently identified with two or more peptides. Based on gene ontology categorization, identified proteins appear to cover a wide variety of biological functions and cellular compartments. This work demonstrates that a substantial number of proteins can be detected and identified from limited number of cells using the AMT tag approach, and opens doors for high-throughput in-depth proteomics analysis of clinical samples.     

Proteomics technologies and challenges

Proteomics is the study of proteins and their interactions in a cell. With the completion of the Human Genome Project, the emphasis is shifting to the protein compliment of the human organism. Because proteome reflects more accurately on the dynamic state of a cell, tissue, or organism, much is expected from proteomics to yield better disease markers for diagnosis and therapy monitoring. The advent of proteomics technologies for global detection and quantitation of proteins creates new opportunities and challenges for those seeking to gain greater understanding of diseases. High-throughput proteomics technologies combining with advanced bioinformatics are extensively used to identify molecular signatures of diseases based on protein pathways and signaling cascades. Mass spectrometry plays a vital role in proteomics and has become an indispensable tool for molecular and cellular biology. While the potential is great, many challenges and issues remain to be solved, such as mining low abundant proteins and integration of proteomics with genomics and metabolomics data. Nevertheless, proteomics is the foundation for constructing and extracting useful knowledge to biomedical research. In this review, a snapshot of contemporary issues in proteomics technologies is discussed.     

超声分子成像：机遇与挑战

随着分子生物学、蛋白组学、基因组学、计算机工程学等学科的不断进步,交叉融合,分子成像逐渐登上历史的舞台,成为研究热点。而超声分子成像随之迅猛发展,近年来超声微泡制备技术的成熟和超声造影检查技术的不断进步,超声造影不再局限获取组织的血流灌注信息,而是逐渐成为特异性的超声分子成像。目前使用超声对比剂研究分子成像和靶向治疗仍处于初级阶段。但是,各种分子成像技术的不断革新和发展,超声分子成像面临着重大的挑战,而在挑战背后同样面临着难逢的机遇。超声医学和分子生物学的迅猛发展,超声分子成像必将成为诊断和治疗疾病的新的手段和方法。超声造影剂仍有许多未能解决的问题,像如何延长微泡的半衰期、如何增强微泡的敏感性和特异性,如何增强目的基因的表达,如何处理组织损伤和高频超声之间的关系等问题,但是如果能解决这些问题,超声造影在现代医学的诊断和治疗中将起到重要的作用。现将超声分子成像综述如下。     

Comparative genomics in the Brassicaceae: a family-wide perspective

Comparative genomics of Arabidopsis relatives has great potential to improve our understanding of molecular function and evolutionary processes. Recent studies of phylogenetic relationships within Brassicaceae and the publication of a new tribal classification scheme provide an important framework for comparative genomics research. Comparative linkage mapping and chromosome painting in the close relatives of Arabidopsis have inferred an ancestral karyotype of these species. In addition, comparative mapping to Brassica has identified genomic blocks that have been maintained since the divergence of the Arabidopsis and Brassica lineages. Several analyses of conserved non-coding regions have identified putative cis-regulatory sequences, and have highlighted the need for comparative sequencing at greater evolutionary distances. The development of new model species with novel physiological and ecological traits allows analysis of phenotypes that are not available in A. thaliana. Looking towards the future, we suggest a prioritized research agenda for comparative genomics in the Brassicaceae.     

Proteomics--a new player in the post-genomic era

In the post-genomic era the concept of personalized medicine and molecular medicine emphasizes the utility of the proteomics approach. Proteomics is the global analysis of cellular proteins and complements the genomics approach. Proteins, in principle do all the work of the cell and ultimately dictate all biological processes and the cellular fate. Proteomics uses a combination of sophisticated techniques including two-dimensional (2D) gel electrophoresis, image analysis, mass spectrometry, amino acid sequencing and bioinformatics to identify and characterize proteins. This review aims at providing the various approaches and pitfalls associated with this technique and gives a brief overview of the utility of this approach in the area of biomedical research.     

21st century wheat breeding: plot selection or plate detection?

The publicly reported limited application of marker-assisted selection (MAS) in wheat breeding programmes to date is reviewed and contrasted with the current situation, in which it has increasingly become technically feasible to tag almost any gene with a microsatellite assay. Although this capability is starting to have an impact on the conduct of large breeding programmes, a much more profound change in breeding strategy will become possible when single nucleotide polymorphism (SNP) technology has matured sufficiently so that the throughput of molecular marker-based genotyping is able to keep pace with the numbers of plants that breeders routinely handle in the field. We explore the extent to which the genomics revolution might generate a change in the conventional breeding paradigm, which has operated with such success for the best part of the 20th century, and identify the need for a substantial reduction in assay price before MAS is likely to make more than a marginal impact on present practice.     

Bioinformatics analysis of mass spectrometry-based proteomics data sets

Proteomics has made tremendous progress, attaining throughput and comprehensiveness so far only seen in genomics technologies. The consequent avalanche of proteome level data poses great analytical challenges for downstream interpretation. We review bioinformatic analysis of qualitative and quantitative proteomic data, focusing on current and emerging paradigms employed for functional analysis, data mining and knowledge discovery from high resolution quantitative mass spectrometric data. Many bioinformatics tools developed for microarrays can be reused in proteomics, however, the uniquely quantitative nature of proteomics data also offers entirely novel analysis possibilities, which directly suggest and illuminate biological mechanisms.     

针对泛素化与去泛素化酶的化学探针

蛋白质泛素化对真核细胞内几乎所有生理过程都具备调控作用。新的泛素化与去泛素化酶的发现、功能机制研究及相关化学分子干预是该领域的重要科学命题。针对泛素化与去泛素化酶的化学探针开发促进了人们对于蛋白质泛素化的形成、募集、信号传导及脱除过程中所涉及生化事件的理解。本文总结了近年来针对泛素化与去泛素化酶化学探针的发展，归纳了不同类型探针的化学结构及合成方法，并讨论了它们的各类应用，包括筛查泛素依赖的信号传导系统、监控泛素相关酶活性、辅助泛素相关的识别和催化过程的分子机制解析等。     

Derivation of structural restraints using a thiol-reactive chelator

Recognition and identification of protein folds is a prerequisite for high-throughput structural genomics. Here we demonstrate a simple protocol for covalent attachment of a short and more rigid metal-chelating tag, thiol-reactive EDTA, by chemical modification of the single cysteine residue in barnase(H102C). Conjugation of the metal-chelating tag provides the advantage of allowing a greater range of paramagnetic metal substitutions. Substitution of Yb(3+), Mn(2+), and Co(2+) permitted measurement of metal-amide proton distances, dipolar shifts, and residual dipolar couplings. Paramagnetic-derived restraints are advantageous in the NMR structure elucidation of large protein complexes and are shown sufficient for validation of homology-based fold predictions.     

Study of the urine proteome in healthy humans

A new branch of molecular biology, proteomics, has been developed recently due to a success in genomics and informatics. Proteomics is currently solving problems of the full proteome mapping of various biological substances, e.g., body fluids, cells, and tissues in the normal state and pathology; and also search for biomarkers of pathologies, including tumors. Data on the urine proteome have been analyzed in this review. Analysis of the methods used in proteomics, including sample preparation, study strategy, as well as published data on urine proteome over the past five years are presented.     

The renaissance of aminoacyl-tRNA synthesis

The role of tRNA as the adaptor in protein synthesis has held an enduring fascination for molecular biologists. Over four decades of study, taking in numerous milestones in molecular biology, led to what was widely held to be a fairly complete picture of how tRNAs and amino acids are paired prior to protein synthesis. However, recent developments in genomics and structural biology have revealed an unexpected array of new enzymes, pathways and mechanisms involved in aminoacyl-tRNA synthesis. As a more complete picture of aminoacyl-tRNA synthesis now begins to emerge, the high degree of evolutionary diversity in this universal and essential process is becoming clearer.     

Proteomics in drug discovery

Drug discovery is a prolonged process that uses a variety of tools from diverse fields. To accelerate the process, a number of biotechnologies, including genomics, proteomics and a number of cellular and organismic methodologies, have been developed. Proteomics development faces interdisciplinary challenges, including both the traditional (biology and chemistry) and the emerging (high-throughput automation and bioinformatics). Emergent technologies include two-dimensional gel electrophoresis, mass spectrometry, protein arrays, isotope-encoding, two-hybrid systems, information technology and activity-based assays. These technologies, as part of the arsenal of proteomics techniques, are advancing the utility of proteomics in the drug-discovery process.