优秀的基因组数据库管理软件——ACEDB

ACEDB作为一个优秀的基因组数据库管理系统,已被用作包括从细菌、真菌、寄生虫、植物、昆虫、动物到人类等许多生物的基因组数据库.ACEDB基因组数据库管理系统在许多生物类数据库中都得到应用     

A database for cell signaling networks.

We developed a data and knowledge base for cellular signal transduction in human cells, to make this rapidly growing information available. The database includes all the biological properties of cellular signal transduction, including biological reactions that transfer cellular signals and molecular attributes characterized by sequences, structures, and functions. Since the database is based on the object-oriented technique, highly flexible methods of data definition and modification are necessary to handle this diverse and complex biological information. The database includes attractive graphical representations of signaling cascades and the three-dimensional structure of molecules. The database is a novel application of ACEDB, which was the database originally developed to store the C. elegans genome. The database can be accessed through the Internet at http://geo.nihs.go.jp/csndb.html.     

Development of the receptor database (RDB): application to the endocrine disruptor problem.

MOTIVATION: To represent various aspects of receptors effectively, we developed the receptor database (RDB), using an object-oriented database management system ACEDB and the Internet/WWW technology. RESULTS: RDB was constructed so that the system collects data items such as attributes of proteins from distributed data sources of the Internet, and so that it provides various viewing tools effectively, depending on different types of receptor data. Such sources include standard international biological databases such as the up-to-date database of PIR, Swiss Prot, PDB, GenBank and GDB. Application to the endocrine disruptor problem is presented. AVAILABILITY: RDB is available through the Internet at http://impact.nihs.go.jp/RDB.html.     

QuantiSpec — Quantitative mass spectrometry data analysis of N-metabolically labeled proteins

For relative protein quantitation by mass spectrometry we metabolically labeled E. coli bacteria with ¹⁵N-enriched diets. Proteins extracted from ¹⁵N-labeled and unlabeled E. coli bacteria were mixed, separated by two-dimensional gel electrophoresis and enzymatically digested. The resulting tryptic peptides were analyzed by MALDI mass spectrometry. For the relative protein quantitation we developed fully automated software, QuantiSpec (Quantitative Mass Spectrometry Analysis Software), which uses data from MALDI TOF mass spectrometry and the Mascot database search engine. QuantiSpec detects natural as well as partially or fully labeled peptide isotope distributions. For each identified peptide the ¹⁵N incorporation rate is determined by comparing the experimental to a set of theoretical isotope patterns based on the peptide sequence. Relative quantitation is accomplished by calculating the signal intensity ratios for each ¹⁴N/¹⁵N peptide pair.     

Integrated platform for manual and high‐throughput statistical validation of tandem mass spectra

As proteomic data sets increase in size and complexity, the necessity for database‐centric software systems able to organize, compare, and visualize all the proteomic experiments in a lab grows. We recently developed an integrated platform called high‐throughput autonomous proteomic pipeline (HTAPP) for the automated acquisition and processing of quantitative proteomic data, and integration of proteomic results with existing external protein information resources within a lab‐based relational database called PeptideDepot. Here, we introduce the peptide validation software component of this system, which combines relational database‐integrated electronic manual spectral annotation in Java with a new software tool in the R programming language for the generation of logistic regression spectral models from user‐supplied validated data sets and flexible application of these user‐generated models in automated proteomic workflows. This logistic regression spectral model uses both variables computed directly from SEQUEST output in addition to deterministic variables based on expert manual validation criteria of spectral quality. In the case of linear quadrupole ion trap (LTQ) or LTQ‐FTICR LC/MS data, our logistic spectral model outperformed both XCorr (242% more peptides identified on average) and the X!Tandem E‐value (87% more peptides identified on average) at a 1% false discovery rate estimated by decoy database approach.     

A systems approach to morphogenesis in Arabidopsis thaliana: I. AGNS database

In systems biology, study of a complex and multicomponent system, such as morphogenesis, comprises accumulation of data on morphogenetic processes in databases, classification and logical analysis of this information, and computer simulation of the processes in question using the data accumulated and the results of their analysis. This paper describes realization of the first steps in a systems study of morphogenesis (annotating research papers, compiling information in a database, data systematization, and their logical analysis) by the example of Arabidopsis thaliana, a model object in plant molecular biology. The database AGNS (Arabidopsis GeneNet Supplementary; http://wwwmgs.bionet.nsc.ru/agns) contains the experimentally confirmed information from published papers on specific features of gene expression and phenotypes of wild-type, mutant, and transgenic A. thaliana plants. AGNS queries and logical data analysis with the aid of specially developed software makes it possible to model various morphogenetic processes from gene expression to functioning of gene networks and their contribution to the development of certain traits.

     

Development of multiplex PCR assays based on the 16S-23S rRNA internal transcribed spacer for the detection of clinically relevant nontuberculous mycobacteria

Aims: To accelerate the identification and differentiation of clinically relevant nontuberculous mycobacteria (NTM) with two sets of multiplex PCR (mPCR) targeting the 16S–23S rRNA internal transcribed spacer (ITS) region for timely patient management. Methods and Results: Two mPCR assays were developed: Slow‐Growers (SG) mPCR was used for the detection of slow‐growing mycobacteria, which included Mycobacterium avium complex, Mycobacterium kansasii, Mycobacterium gordonae and Mycobacterium xenopi whilst the other mPCR assay labelled as Fast‐Growers (FG) mPCR was used for the detection of Mycobacterium fortuitum complex, Mycobacterium abscessus and Mycobacterium chelonae. In these assays, a common forward primer based on a conserved section of the 16S rRNA region was used in conjunction with species‐specific reverse primers. The mPCRs were tested against 247 clinical mycobacterial isolates and demonstrated 100% specificity and sensitivity. Identification of the mycobacterial species was also validated by DNA sequencing of the 16S–23S ITS region and when further confirmation was needed, hsp65 sequencing was performed. Conclusions: The mPCR assays could be a potentially useful diagnostic tool for the rapid and accurate identification of clinically relevant NTM. Significance and Impact of the Study: In this study, we looked at the frequency of hospital isolated NTM over the last 5 years (2005–2010), and an mPCR targeting the ITS region was developed for NTM species that appeared to be more prevalent in the context of Singapore.     

MIRO and IRbase: IT Tools for the Epidemiological Monitoring of Insecticide Resistance in Mosquito Disease Vectors

Background

Monitoring of insect vector populations with respect to their susceptibility to one or more insecticides is a crucial element of the strategies used for the control of arthropod-borne diseases. This management task can nowadays be achieved more efficiently when assisted by IT (Information Technology) tools, ranging from modern integrated databases to GIS (Geographic Information System). Here we describe an application ontology that we developed de novo, and a specially designed database that, based on this ontology, can be used for the purpose of controlling mosquitoes and, thus, the diseases that they transmit.

Methodology/Principal Findings

The ontology, named MIRO for Mosquito Insecticide Resistance Ontology, developed using the OBO-Edit software, describes all pertinent aspects of insecticide resistance, including specific methodology and mode of action. MIRO, then, forms the basis for the design and development of a dedicated database, IRbase, constructed using open source software, which can be used to retrieve data on mosquito populations in a temporally and spatially separate way, as well as to map the output using a Google Earth interface. The dependency of the database on the MIRO allows for a rational and efficient hierarchical search possibility.

Conclusions/Significance

The fact that the MIRO complies with the rules set forward by the OBO (Open Biomedical Ontologies) Foundry introduces cross-referencing with other biomedical ontologies and, thus, both MIRO and IRbase are suitable as parts of future comprehensive surveillance tools and decision support systems that will be used for the control of vector-borne diseases. MIRO is downloadable from and IRbase is accessible at VectorBase, the NIAID-sponsored open access database for arthropod vectors of disease.     

雄烯二酮高产菌新金分枝杆菌MN4的全基因组测序及序列分析北大核心CSCD

【目的】新金分枝杆菌(Mycobacterium neoaurum)MN4是1株经诱变育种获得的高产雄烯二酮,并且能够耐受高浓度底物植物甾醇的突变菌株。为深入研究MN4菌株耐底物的机制及雄烯二酮的生物合成途径,有必要解析MN4菌株的全基因组序列信息。【方法】本研究采用高通量测序技术对MN4进行全基因组测序,然后使用相关软件对测序数据进行基因组装、基因预测与功能注释、COG聚类分析以及次级代谢产物合成基因簇预测等。【结果】新金分枝杆菌MN4基因组装获得33个Contigs,整个基因组大小为5.39 Mb,GC含量为66.9%,编码4920个蛋白基因,序列提交至Gen Bank数据库,登录号为JXYZ00000000。【结论】本研究首次报道了1株高产雄烯二酮菌株MN4的全基因组序列,分析了基因组的基本特征,初步解析了该菌株降解植物甾醇生产雄烯二酮的关键基因,将为MN4的功能基因组学研究及相关次级代谢产物的生物合成途径与异源表达研究提供基础。     

Sodium Levels in Drinking Water As An Index to Human Health

As a consequence of the general lack of surface water in the Dalmatian region of Southern Croatia, health care institutions and water management authorities have become particularly interested in observing and monitoring water as well as preserv ing its quality. A relational database has been developed for carrying out chemical analyses (sodium), expressed by coefficients K₁ and K₂, because it is necessary from an informatical aspect to organize and integrate a large number of analytical and ecological health data. The database can serve as a methodological platform for the study of environmental factors influencing human health. The prototype database, consisting of data from investigations conducted by the Water Examination Depart ment of the Public Health Institute of Split Dalmatian County (Croatia), has been used for water quality control. The database currently contains more than 2,000 data.     

Axeldb: a Xenopus laevis database focusing on gene expression

Axeldb is a database storing and integrating gene expression patterns and DNA sequences identified in a large-scale in situ hybridization study in Xenopus laevis embryos. The data are organised in a format appropriate for comprehensive analysis, and enable comparison of images of expression pattern for any given set of genes. Information on literature, cDNA clones and their availability, nucleotide sequences, expression pattern and accompanying pictures are available. Current developments are aimed toward the interconnection with other databases and the integration of data from the literature. Axeldb is implemented using an ACEDB database system, and available through the web at http://www.dkfz-heidelberg.de/abt0135/axeldb.htm     

Computer-assisted assignment of 2D1H NMR spectra of proteins: Basic algorithms and application to phoratoxin B

Summary A suite of computer programs (CLAIRE) is described which can be of assistance in the process of assigning 2D¹H NMR spectra of proteins. The programs embody a software implementation of the sequential assignment approach first developed by Wüthrich and co-workers (K. Wüthrich. G. Wider, G. Wagner and W. Braun (1982)J. Mol. Biol. 155, 311). After data-abstraction (peakpicking), the software can be used to detect patterns (spin systems), to find cross peaks between patterns in 2D NOE data sets and to generate assignments that are consistent with all available data and which satisfy a number of constraints imposed by the user. An interactive graphics program calledCONPAT is used to control the entire assignment process as well as to provide the essential feedback from the experimental NMR spectra. The algorithms are described in detail and the approach is demonstrated on a set of spectra from the mistletoe protein phoratoxin B, a homolog of crambin. The results obtained compare well with those reported earlier based entirely on a manual assignment process.     

A Comparative Study of Mycobacteria from Patients' Room Dusts and from Sputa of Tuberculous Patients

The source of mycobacteria other than Mycobacterium tuberculosis occurring in sputa of tuberculous patients as casual isolates was investigated by comparing the occurrence rate of mycobacterial species between patient's room dust and patient's sputum. Almost all species of mycobacteria recovered from sputa could be found in dusts obtained from the rooms. However, the percentage of occurrence of the mycobacterial species in dusts differed from that in sputa. In dusts, Mycobacterium fortuitum (39.6%), Mycobacterium nonchromogenicum (23.5%) and Mycobacterium gordonae (16.7%) occurred in high frequencies, whereas Mycobacterium intracellulare (69.6%), M. gordonae (5.9%), Mycobacterium scrofulaceum (5.2%), and Gordona bronchialis (10.4%) were the main species found in sputa. The patterns of occurrence of mycobacterial species as illustrated above may suggest that pathogenic mycobacteria survive in the respiratory tract while nonpathogenic ones are destroyed there, thus the human body acts as a selective medium for the pathogenic mycobacterial species. Serotype studies on strains of M. intracellular as casual isolates indicated that those from sputa of tuberculous patients were different from those derived from patients with lung diseases due to this species of mycobacteria. These results led us to the conclusion that mycobacteria in patients' room dusts were the source of mycobacteria occurring in sputa as casual isolates, particularly the pathogenic mycobacteria in dusts are more likely to survive in the human respiratory tract, occasionally multiplying and causing disease under favorable circumstances.     

PCR 扩增人型结核杆菌 DNA 及结核杆菌属 DNA 探针的制备

用多聚酶链反应(PCR)方法扩增人型、牛型结核杆菌基因组 DNA,获得特异的158 bpDNA 片段,而从另外十三种分枝杆菌未见到特异的扩增产物.回收158 bpDNA 片段作探针,它除与人型、牛型结核杆菌有特异的杂交信号外,与金黄色葡萄球菌、绿脓杆菌及一些分枝杆菌皆没有杂交反应.结果表明,PCR 可用于检测结核杆菌基因组 DNA,扩增产物158 bp DNA 片段可作为探针用于检测人型、牛型结核杆菌并鉴别结核杆菌与其它分枝杆菌.     

A Study of the Taxonomy of the Mycobacterium nonchromogenicum Complex and Report of Six Cases of Lung Infection Due to Mycobacterium nonchromogenicum

In numerical classification, four species of the Mycobacterium nonchromogenicum complex, Mycobacterium nonchromogenicum, M. terrae, M. novum, and M. triviale, formed one cluster. These four species appeared to be reduced to one species, Mycobacterium nonchromogenicum. Furthermore, relationships between the species were numerically analyzed by using the hypothetical median organism pattern. The results showed that the M. nonchromogenicum complex can be divided into two subgroups: M. nonchromogenicum and the other three. These two subgroups were differentiated from each other by scores based on two or more positive reactions in the following three characteristics: resistance to bleomycin (5 μg/ml); heat-stable acid phosphatase activity; nicotinamidase or pyrazinamidase activity or both activities. M. nonchromogenicum gave two or three positive reactions among these three, and M. terrae, M. novum, and M. triviale gave two or three negative reactions. Three cases of lung infection due to M. nonchromogenicum, as well as three other cases of probable lung infection due to M. nonchromogenicum, were observed in this study. Only one organism isolated from one doubtful case was M. terrae. Up to now, M. nonchromogenicum was considered a nonpathogen. It was shown, however, that this organism causes lung infection in humans.     

A general method for the unbiased improvement of solution NMR structures by the use of related X-Ray data, the AUREMOL-ISIC algorithm

Background  

Rapid and accurate three-dimensional structure determination of biological macromolecules is mandatory to keep up with the vast progress made in the identification of primary sequence information. During the last few years the amount of data deposited in the protein data bank has substantially increased providing additional information for novel structure determination projects. The key question is how to combine the available database information with the experimental data of the current project ensuring that only relevant information is used and a correct structural bias is produced. For this purpose a novel fully automated algorithm based on Bayesian reasoning has been developed. It allows the combination of structural information from different sources in a consistent way to obtain high quality structures with a limited set of experimental data. The new ISIC (Intelligent Structural Information Combination) algorithm is part of the larger AUREMOL software package.     

Discovery of novel inhibitors of Mycobacterium tuberculosis MurG: homology modelling,structure based pharmacophore,molecular docking,and molecular dynamics simulations

MurG (Rv2153c) is a key player in the biosynthesis of the peptidoglycan layer in Mycobacterium tuberculosis (Mtb). This work is an attempt to highlight the structural and functional relationship of Mtb MurG, the three-dimensional (3D) structure of protein was constructed by homology modelling using Discovery Studio 3.5 software. The quality and consistency of generated model was assessed by PROCHECK, ProSA and ERRAT. Later, the model was optimized by molecular dynamics (MD) simulations and the optimized model complex with substrate Uridine-diphosphate-N-acetylglucosamine (UD1) facilitated us to employ structure-based virtual screening approach to obtain new hits from Asinex database using energy-optimized pharmacophore modelling (e-pharmacophore). The pharmacophore model was validated using enrichment calculations, and finally, validated model was employed for high-throughput virtual screening and molecular docking to identify novel Mtb MurG inhibitors. This study led to the identification of 10 potential compounds with good fitness, docking score, which make important interactions with the protein active site. The 25 ns MD simulations of three potential lead compounds with protein confirmed that the structure was stable and make several non-bonding interactions with amino acids, such as Leu290, Met310 and Asn167. Hence, we concluded that the identified compounds may act as new leads for the design of Mtb MurG inhibitors.     

A database of microsatellite genotypes for <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis>

A system for genotyping Saccharomyces cerevisiae is described based on a multiplex of ten microsatellite loci and the MAT locus. A database of genotypes has been developed for 246 yeast strains, including a large set of commercial wine yeasts, as well as 35 sequenced natural isolates currently being sequenced. The latter allow us, for the first time, to make direct comparisons of the relationship between DNA sequence data and microsatellite-based genotypes. The genotyping system provides a rapid and valuable system for strain identification as well as studying population genetics of S. cerevisiae.     

Elektronenmikroskopische Untersuchungen an Mycobacterium phlei

Summary The structure and formation of polyphosphate-granules has been investigated by means of ultrathin sections through Mycobacterium phlei.After removing the polyphosphate, a fine grained and scarcely electron-scattering structure was to be seen which, however, was not bordered by a membrane.The granules probably originate in distinct regions of the cytoplasm from irregularly shaped intermediate stages or from agglomerations of micro-granules.Mitochondria-like structures of Mycobacterium phlei are described. Polyphosphates probably may be accumulated in these structures as well.     

Development and Evaluation of Patient‐Centered Software for a Weight‐Management Clinic

Objective: To describe a weight‐management clinic software system and to report on its preliminary evaluation. Research Methods and Procedures: The software system standardizes the collection of relevant patient information from an initial medical assessment, weekly clinic visits, and laboratory testing protocol of a medically supervised proprietary meal‐replacement program in a university‐based referral clinic. It then generates monthly patient feedback reports with graphs of clinical and laboratory parameters to support a patient‐centered approach to weight management. After patients and clinic physicians review the data to ensure accuracy, the database is used for subsequent patient feedback reports, reports to referring physicians, quality assurance, and research. Clinic physicians and referring physicians were asked to rate their acceptance of the system. In addition, in a retrospective analysis of data generated by the system, outcomes for patients who received system‐generated feedback (n = 620) were compared with those who participated in the program before the introduction of feedback (n = 130). Results: Clinic and referring physicians reported that they had high overall satisfaction with the software and that the system saved them time, and the latter group reported that it decreased laboratory use. Regarding patients, the feedback group had lower dropout rates in the latter half of the program, better rates of attendance, completion of laboratory tests, and weight loss after 8 weeks. Discussion: The software seems to facilitate the effectiveness of the treatment protocol for obesity and generates a high‐quality database for patient care, clinic administration, quality assurance, and research purposes.