表达序列标签(EST)在基因组学研究中的应用

表达序列标签 (expressedsequencetags)是一种快捷、高效的揭示基因组信息的方法。本文对EST的产生、概念、技术原理及其在基因组研究中的广泛应用作一详细的介绍     

An integrated web interface for large-scale characterization of sequence data

Large-scale genome projects require the analysis of large amounts of raw data. This analysis often involves the application of a chain of biology-based programs. Many of these programs are difficult to operate because they are non-integrated, command-line driven, and platform-dependent. The problem is compounded when the number of data files involved is large, making navigation and status-tracking difficult. To demonstrate how this problem can be addressed, we have created a platform-independent Web front end that integrates a set of programs used in a genomic project analyzing gene function by transposon mutagenesis in Saccharomyces cerevisiae. In particular, these programs help define a large number of transposon insertion events within the yeast genome, identifying both the precise site of transposon insertion as well as potential open reading frames disrupted by this insertion event. Our Web interface facilitates this analysis by performing the following tasks. Firstly, it allows each of the analysis programs to be launched against multiple directories of data files. Secondly, it allows the user to view, download, and upload files generated by the programs. Thirdly, it indicates which sets of data directories have been processed by each program. Although designed specifically to aid in this project, our interface exemplifies a general approach by which independent software programs may be integrated into an efficient protocol for large-scale genomic data processing. Electronic Publication     

Structural genomics of highly conserved microbial genes of unknown function in search of new antibacterial targets

With more than 100 antibacterial drugs at our disposal in the 1980s, the problem of bacterial infection was considered solved. Today, however, most hospital infections are insensitive to several classes of antibacterial drugs, and deadly strains of Staphylococcus aureus resistant to vancomycin – the last resort antibiotic – have recently begin to appear. Other life-threatening microbes, such as Enterococcus faecalis and Mycobacterium tuberculosis are already able to resist every available antibiotic. There is thus an urgent, and continuous need for new, preferably large-spectrum, antibacterial molecules, ideally targeting new biochemical pathways. Here we report on the progress of our structural genomics program aiming at the discovery of new antibacterial gene targets among evolutionary conserved genes of uncharacterized function. A series of bioinformatic and comparative genomics analyses were used to identify a set of 221 candidate genes common to Gram-positive and Gram-negative bacteria. These genes were split between two laboratories. They are now submitted to a systematic 3-D structure determination protocol including cloning, protein expression and purification, crystallization, X-ray diffraction, structure interpretation, and function prediction. We describe here our strategies for the 111 genes processed in our laboratory. Bioinformatics is used at most stages of the production process and out of 111 genes processed – and 17 months into the project – 108 have been successfully cloned, 103 have exhibited detectable expression, 84 have led to the production of soluble protein, 46 have been purified, 12 have led to usable crystals, and 7 structures have been determined.     

Hunting G-quadruplexes

Whilst DNA spends much of its time in the double-stranded form, frequently in storage, wrapped around histones and packaged as chromatin, it can also form other complex structures, which may play a role in natural regulation and gene control. These alternative structures therefore also present an interesting novel series of targets for artificial intervention, and so may lead to novel therapeutics. In this review, I describe the current understanding of how genomic and bioinformatics studies may be used to understand the roles that one such structure, the four-stranded guanine-rich G-quadruplex, may play in the genome, and outline how these may be considered as targets for intervention. I will also describe recent work looking at RNA G-quadruplexes, and the biological roles they may play.     

Functional classification analysis of somatically mutated genes in human breast and colorectal cancers

A recent study published by Sjoblom and colleagues [T. Sjoblom, S. Jones, L.D. Wood, D.W. Parsons, J. Lin, T.D. Barber, D. Mandelker, R.J. Leary, J. Ptak, N. Silliman, S. Szabo, P. Buckhaults, C. Farrell, P. Meeh, S.D. Markowitz, J. Willis, D. Dawson, J.K. Willson, A.F. Gazdar, J. Hartigan, L. Wu, C. Liu, G. Parmigiani, B.H. Park, K.E. Bachman, N. Papadopoulos, B. Vogelstein, K.W. Kinzler, V.E. Velculescu, The consensus coding sequences of human breast and colorectal cancers. Science 314 (2006) 268-274.] performed comprehensive sequencing of 13,023 human genes and identified mutations in genes specific to breast and colorectal tumors, providing insight into organ-specific tumor biology. Here we present a systematic analysis of the functional classifications of Sjoblom's “CAN” genes, a subset of these validated mutant genes, that identifies novel organ-specific biological themes and molecular pathways associated with disease-specific etiology. This analysis links four somatically mutated genes associated with diverse oncological types to colorectal and breast cancers through established TGF-β1-regulated interactions, revealing mechanistic differences in these cancers and providing potential diagnostic and therapeutic targets.     

Using cell engineering and omic tools for the improvement of cell culture processes

Significant strides have been made in mammalian cell based biopharmaceutical process and cell line development over the past years. With several established mammalian host cell lines and expression systems, optimization of selection systems to reduce development times and improvement of glycosylation patterns are only some of the advances being made to improve cell culture processes. In this article, the advances pertaining to cell line development and cell engineering strategies are discussed. An overview of the cell engineering strategies to enhance cellular characteristics by genetic manipulation are illustrated, focusing on the use of genomics and proteomics tools and their application in such endeavors. Included in this review are some of the early studies using the ‘omic’ technique to understand cellular mechanisms of product synthesis and secretion, apoptosis, cell proliferation and the influence of the physicochemical environment. The article highlights the significance of integrating genomics and proteomics data with the vast amounts of bioprocess data for improved analysis of the biological pathways involved. Further improvements of the techniques and methodologies used are needed but ultimately, the new cell engineering strategies should provide great insight into the regulatory networks within the cell in a bioprocess environment and how to manipulate them to increase overall productivity.     

Heterogeneity in mammalian RNA 3′ end formation

Precisely directed cleavage and polyadenylation of mRNA is a fundamental part of eukaryotic gene expression. Yet, 3′ end heterogeneity has been documented for thousands of mammalian genes, and usage of one cleavage and polyadenylation signal over another has been shown to impact gene expression in many cases. Building upon the rich biochemical and genetic understanding of the 3′ end formation, recent genomic studies have begun to suggest that widespread changes in mRNA cleavage and polyadenylation may be a part of large, dynamic gene regulatory programs. In this review, we begin with a modest overview of the studies that defined the mechanisms of mammalian 3′ end formation, and then discuss how recent genomic studies intersect with these more traditional approaches, showing that both will be crucial for expanding our understanding of this facet of gene regulation.     

A web accessible resource for investigating cassava phenomics and genomics information: BIOGEN BASE

The goal of our research is to establish a unique portal to bring out the potential outcome of the research in the Casssava crop. The Biogen base for cassava clearly brings out the variations of different traits of the germplasms, maintained at the Tapioca and Castor Research Station, Tamil Nadu Agricultural University. Phenotypic and genotypic variations of the accessions are clearly depicted, for the users to browse and interpret the variations using the microsatellite markers. Database (BIOGEN BASE - CASSAVA) is designed using PHP and MySQL and is equipped with extensive search options. It is more user-friendly and made publicly available, to improve the research and development of cassava by making a wealth of genetics and genomics data available through open, common, and worldwide forum for all individuals interested in the field. AVAILABILITY: The database is available for free at http://www.tnaugenomics.com/biogenbase/casava.php.     

Improved insights into the transcriptomes of the human hookworm Necator americanus--fundamental and biotechnological implications

Hookworms of humans are blood-feeding parasitic nematodes of major socio-economic significance in a wide range of countries. They cause a neglected tropical disease (NTD) called "hookworm disease" (=necatoriasis and/or ancylostomiasis). Necator americanus is the most widely distributed hookworm of humans and is a leading cause of iron deficiency anaemia, which can cause physical and mental retardation and deaths in children as well as adverse maternal-foetal outcomes. Currently, there is a significant focus on the development of new approaches for the prevention and control of hookworms in humans. Technological advances are underpinning the discovery of drug and vaccine targets through insights into the molecular biology and genomics of these parasites and their relationship with the human host. In spite of the widespread socio-economic impacts of human necatoriasis, molecular datasets for N. americanus are scant, limiting progress in molecular research. The present article explores all currently available EST datasets for adult and larval stages of N. americanus using a semi-automated bioinformatic pipeline. In the current repertoire of molecules now available, some have been or are being considered as candidate vaccines against N. americanus. Among others, the most abundant sets of molecules relate to the pathogenesis-related protein (PRP) superfamily, comprising various members, such as the Ancylostoma-secreted or activation-associated proteins (ASPs) and the kunitz-type proteins, both of which are inferred to play key roles in the interplay between N. americanus and the human host. Understanding the molecular biology of these and other novel molecules discovered could have important implications for finding new ways of disrupting the pathways that they are involved in, and should facilitate the identification of new drug and vaccine targets. Also, the bioinformatic prediction of the essentiality of genes and gene products as well as molecular network connectivity of nematode-specific genes, together with sequencing by 454 technology, are likely to assist in the genomic discovery efforts in the very near future, to also underpin fundamental, molecular research of hookworms.     

农作物种质资源调查数据标准制定与共享

系统提取并分析了农作物种质资源普查数据、调查数据、评价数据和保存数据等数据信息,采用基于数据元技术方法制定了农作物种质资源调查数据标准和数据元目录;定义了种质资源调查数据集以及对象和属性的映射关系;给出了基于XML数据标准存储及交换策略。标准的制定使农作物种质资源调查在\"数据层\"上达到统一,规范了数据库构建,促进了农作物种质资源调查数据的整合和共享。     

作物数量性状基因图位克隆研究进展

对数量性状基因(QTL)的鉴定和克隆不仅有利于从分子水平上阐明作物重要农艺性状的形成机理,而且对于有效开展这些性状的分子育种,进一步提高作物增产潜力具有重要意义.近年来作物QTL图位克隆取得了重要突破,一批QTL被成功克隆,而模式植物基因组研究的快速发展则为作物QTL图位克隆技术带来了新的策略和方法.本文就相关研究的主要进展和发展趋势进行了综述.     

Protecs,a comprehensive and powerful storage and analysis system for OMICS data,applied for profiling the anaerobiosis response of Staphylococcus aureus COL

Broad functional genomic studies call for comprehensive and powerful data repositories for storage of genome sequences, experimental information, protein identification data, protein properties and expression values. The better such data repositories can integrate and display complex data in a clear and structured way the more biologically meaningful conclusions or novel hypotheses can be derived from extensive omics data sets. This work presents the web accessible database system Protecs and how it was used to support analysis of 50 samples drawn from four Staphylococcus aureus cultivations under anaerobiosis. Protecs incorporates findings from visualization science, e.g. micro charts and heat maps in the user interface. Its integrated tools for expression data analysis in combination with TIGR Multi Experiment Viewer were used to highlight similar gene expression profiles in single or multiple experiments based on the continuously updated S. aureus master gel. Raw data analysis results are available online at www.protecs.uni‐greifswald.de . Our meta‐study revealed that S. aureus responds in different anaerobiotic experimental setups (growth without oxygen; growth without oxygen but with supplemental pyruvate and uracil; growth without oxygen but with NO; growth without oxygen but with NO and without functional nreABC genes) with a general anaerobiosis response. Among others, this response is characterized by an induction of fermentation enzymes (PflB, Ldh1, SACOL0135, SACOL0660) as well as the response regulator SrrA. Interestingly, especially genes with a high codon adaptation index highly overlap with anaerobically induced genes.