LAMP: A Database Linking Antimicrobial Peptides

The frequent emergence of drug-resistant bacteria has created an urgent demand for new antimicrobial agents. Traditional methods of novel antibiotic development are almost obsolete. Antimicrobial peptides (AMPs) are now regarded as a potential solution to revive the traditional methods of antibiotic development, although, until now, many AMPs have failed in clinical trials. A comprehensive database of AMPs with information about their antimicrobial activity and cytotoxicity will help promote the process of finding novel AMPs with improved antimicrobial activity and reduced cytotoxicity and eventually accelerate the speed of translating the discovery of new AMPs into clinical or preclinical trials. LAMP, a database linking AMPs, serves as a tool to aid the discovery and design of AMPs as new antimicrobial agents. The current version of LAMP has 5,547 entries, comprising 3,904 natural AMPs and 1,643 synthetic peptides. The database can be queried using either simply keywords or combinatorial conditions searches. Equipped with the detailed antimicrobial activity and cytotoxicity data, the cross-linking and top similar AMPs functions implemented in LAMP will help enhance our current understanding of AMPs and this may speed up the development of new AMPs for medical applications. LAMP is freely available at: http://biotechlab.fudan.edu.cn/database/lamp.     

GMEnzy: A Genetically Modified Enzybiotic Database

GMEs are genetically modified enzybiotics created through molecular engineering approaches to deal with the increasing problem of antibiotic resistance prevalence. We present a fully manually curated database, GMEnzy, which focuses on GMEs and their design strategies, production and purification methods, and biological activity data. GMEnzy collects and integrates all available GMEs and their related information into one web based database. Currently GMEnzy holds 186 GMEs from published literature. The GMEnzy interface is easy to use, and allows users to rapidly retrieve data according to desired search criteria. GMEnzy’s construction will increase the efficiency and convenience of improving these bioactive proteins for specific requirements, and will expand the arsenal available for researches to control drug-resistant pathogens. This database will prove valuable for researchers interested in genetically modified enzybiotics studies. GMEnzy is freely available on the Web at http://biotechlab.fudan.edu.cn/database/gmenzy/.     

基因组后研究策略

由于基因组计划的进展,数据库中积累了越来越多不知道功能的基因序列,分析这些基因的功能将成为基因组计划完成后的主要任务.文章介绍了几种大规模分析基因功能的策略及程序：基因插断、基因表达的系统分析、高密度cDNA杂交、蛋白组分析,并讨论了大规模基因功能分析的前景.     

The Evolving Genome Project: current and future impact.

The National Institutes of Health/Department of Energy Human Genome Project has been funding directed research for only 5 years, and it is understandably difficult to cite important research advances directly attributable to the project. However, the project has been constructive in fostering multidisciplinary group research and an inspiring and synergistic "just do it" attitude in both political and scientific circles, domestically and abroad. This collaborative spirit has spawned large-scale genetic and physical mapping projects, with the most impressive and useful results to date being the dense genetic maps produced by the Généthon, a French organization largely supported by the French muscular dystrophy association. With the genetic and physical map reagents now becoming available, disease-gene cloning is proceeding at an increasingly rapid pace. More important than the predictable acceleration of disease-gene mapping are the unpredictable benefits: Will a dense PCR-based dinucleotide-repeat genetic map open novel alternative approaches to disease-gene isolation? Will it become possible to localize disease genes by simply analyzing unrelated, isolated probands rather than the rarer "extended family"? Proband-based "linkage-disequilibrium cloning" may become possible if adequate density, informativeness, and stability of polymorphic loci are obtained. In addition, "genome exclusion cloning" will be added to the established positional, candidate-gene, and functional-disease-gene-cloning experimental approaches. The anticipated exponential expansion of human genetic disease information over the remainder of the 10-year tenure of the Human Genome Project unveils critical yet unresolved issues for medical education and the practice of medicine.(ABSTRACT TRUNCATED AT 250 WORDS)     

中国人群参考基因组及基因组变异图谱资源库

随着人类基因组计划和国际千人基因组计划的实施,已公开数百个中国人个体的全基因组数据。建立高精度的中国人群参考基因组序列,发现并解析中国人群特有的序列变异,是我国未来精准医学研究的基础。为满足未来精准医学研究中国人基因组数据持续增长的科学管理和深入研究的需求,中国科学院北京基因组研究所发展并建立了基于中国人群全基因组测序数据的虚拟中国人基因组数据库(Virtual Chinese Genome Database, VCGDB)和中国人群基因组变异数据库(Genome Variation Map, GVM),面向国内外用户提供数据检索、共享、下载和在线分析服务。本文重点介绍了这两个数据库的特点和功能,以及未来发展与应用前景,以期为中国人群参考基因组及基因组变异图谱资源库的推广使用、发展完善提供有益信息。     

基因组研究中全长cDNA克隆的策略

全长cDNA的克隆是目前人类基因组研究中的一个重要方面,与大规模基因组测序相比较,cDNA测序克隆用相对较少费用获得更多的功能基因信息,故也是符合我国国情的基因组研究的主要方向。如何更加高效地获得新的全长cDNA,本文结合作者自己工作中的经验,对从全长文库的建立到全长cDNA的测序及克隆方法作了较为详细的介绍。     

假基因的发现与研究

随着人类基因组计划的顺利实施,人们分离、鉴定新基因的速度越来越快,对于占人类基因组97%的非表达序列的研究,即对所谓"垃圾"DNA的研究已成为全球范围内关注的热点.现就假基因的发现、命名和分类、特性和分布、产生、作用机理、功能、进化及展望等方面进行论述.     

定位克隆中寻找新基因的方法

在克隆人类遗传病致病基因的过程中,寻找染色体特定区段的转录序列成为主要的限速步骤.早期的努力集中在筛选cDNA文库,找寻进化上保守的DNA序列,以及Northern杂交.最近几年,在人类基因组计划的推动下,发展了数种有效的寻找基因的新方法.这些方法不但扩展了寻找新基因的染色体区段,而且能在不依赖基因表达的情况下进行筛选.文中综述新旧几种寻找基因的方法,并讨论它们各自的优点与局限.     

Apple gene function and gene family database: an integrated bioinformatics database for apple research

The apple (Malus domestica) is one of the most economically important fruit crops in the world, due its importance to human nutrition and health. To analyze the function and evolution of different apple genes, we developed apple gene function and gene family database (AppleGFDB) for collecting, storing, arranging, and integrating functional genomics information of the apple. The AppleGFDB provides several layers of information about the apple genes, including nucleotide and protein sequences, chromosomal locations, gene structures, and any publications related to these annotations. To further analyze the functional genomics data of apple genes, the AppleGFDB was designed to enable users to easily retrieve information through a suite of interfaces, including gene ontology, protein domain and InterPro. In addition, the database provides tools for analyzing the expression profiles and microRNAs of the apple. Moreover, all of the analyzed and collected data can be downloaded from the database. The database can also be accessed using a convenient web server that supports a full-text search, a BLAST sequence search, and database browsing. Furthermore, to facilitate cooperation among apple researchers, AppleGFDB is presented in a user-interactive platform, which provides users with the opportunity to modify apple gene annotations and submit publication information for related genes. AppleGFDB is available at http://www.applegene.org or http://gfdb.sdau.edu.cn/.     

Societal and Medical Consequences of the Human Genome Project

The Human Genome Project is a US-based molecular biological project, the results of which are likely to be implemented on humans. The sociopolitical dimension of this is highly neglected. The aim of the conference was to fill this gap by drawing together scientists of natural and political sciences to discuss the consequences of the Human Genome Project across the disciplines.     

MitProNet: A Knowledgebase and Analysis Platform of Proteome,Interactome and Diseases for Mammalian Mitochondria

Mitochondrion plays a central role in diverse biological processes in most eukaryotes, and its dysfunctions are critically involved in a large number of diseases and the aging process. A systematic identification of mitochondrial proteomes and characterization of functional linkages among mitochondrial proteins are fundamental in understanding the mechanisms underlying biological functions and human diseases associated with mitochondria. Here we present a database MitProNet which provides a comprehensive knowledgebase for mitochondrial proteome, interactome and human diseases. First an inventory of mammalian mitochondrial proteins was compiled by widely collecting proteomic datasets, and the proteins were classified by machine learning to achieve a high-confidence list of mitochondrial proteins. The current version of MitProNet covers 1124 high-confidence proteins, and the remainders were further classified as middle- or low-confidence. An organelle-specific network of functional linkages among mitochondrial proteins was then generated by integrating genomic features encoded by a wide range of datasets including genomic context, gene expression profiles, protein-protein interactions, functional similarity and metabolic pathways. The functional-linkage network should be a valuable resource for the study of biological functions of mitochondrial proteins and human mitochondrial diseases. Furthermore, we utilized the network to predict candidate genes for mitochondrial diseases using prioritization algorithms. All proteins, functional linkages and disease candidate genes in MitProNet were annotated according to the information collected from their original sources including GO, GEO, OMIM, KEGG, MIPS, HPRD and so on. MitProNet features a user-friendly graphic visualization interface to present functional analysis of linkage networks. As an up-to-date database and analysis platform, MitProNet should be particularly helpful in comprehensive studies of complicated biological mechanisms underlying mitochondrial functions and human mitochondrial diseases. MitProNet is freely accessible at http://bio.scu.edu.cn:8085/MitProNet.     

人类变异组计划及其进展

基因组学构建了人类的基因组图谱,后基因组时代的主要任务是解释基因组如何影响生命活动,由此产生了各种新类型的组学:结构基因组学,功能基因组学,蛋白质组学,代谢组学等。人类基因组突变学会于2006年6月在澳大利亚的墨尔本会议上正式启动了人类变异组计划。该计划旨在全球范围内广泛收集所有基因和蛋白质序列变异和多态性的数据,采用全基因组级别的基因型与表型关联等方法,系统地搜索并确定与人类疾病相关的变异,以指导临床应用。鉴于该计划对人类健康领域将产生的潜在影响,文章较为全面地介绍了该计划的起源和主要内容,并对其意义和前景进行了讨论。     

Development and application of genotyping technologies

With the completion of Human Genome Project,International HapMap Project and the publication of copy number variation in human genome,a great number of accurate,rapid,and cost-effective technologies for SNP analysis have been developed,promoting the research of the complex diseases.This article presents a review of widely used genotyping techniques,and the progress and prospect in the study of complex diseases in terms of the projects and achievements of Chinese National Human Genome Center at Shanghai(CHGC...     

一种高效的功能基因分离解析法

人类基因组计划（Human Genome Project）的实施揭开了各种生物基因组解析的序幕［1~3］。随着各种生物的基因组解析的顺利进行,遗传基因的功能研究以及寻找新的功能基因变得越来越重要。本文介绍的MegacloneTM技术、MegasortTM技术［4］以及MPSS技术［5］可以高效地分离解析各种功能基因。 Abstract:The implementation of the Human Genome Project preludes the analyzing of biologic genomes［1~3］.Following the successful analysis of diverse biologic genomes,it becomes more and more important to research the functions of genes and to find new functional genes.In this article,we use the techniques of MegacloneTM,MegasortTM［4］ and MPSS［5］ to sort and sequence effectively different functional genes.