An improved FORTRAN 77 recombinant DNA database management system with graphic extensions in GKS

We have improved an existing clone database management systemwritten in FORTRAN 77 and adapted it to our software environment.Improvements are that the database can be interrogated for anytype of information, not just keywords. Also, recombinant DNAconstructions can be represented in a simplified ‘shorthand’,whereafter a program assembles the full nucleotide sequencefrom the contributing fragments, which may be obtained fromnucleotide sequence databases. Another improvement is the replacementof the database manager by programs, running in batch to maintainthe databank and verify its consistency automatically. Finally,graphic extensions are written in Graphical Kernel System, todraw linear and circular restriction maps of recombinants. Besidesrestriction sites, recombinant features can be presented fromthe feature lines of recombinant database entries, or from thefeature tables of nucleotide databases. The clone database managementsystem is fully integrated into the sequence analysis softwarepackage from the Pasteur Institute, Paris, and is made accessiblethrough the same menu. As a result, recombinant DNA sequencescan directly be analysed by the sequence analysis programs. Received on March 17, 1986; accepted on June 16, 1986     

NeMedPlant: a database of therapeutic applications and chemical constituents of medicinal plants from north-east region of India

The North-East region of India is one of the twelve mega biodiversity region, containing many rare and endangered species. A curated database of medicinal and aromatic plants from the regions called NeMedPlant is developed. The database contains traditional, scientific and medicinal information about plants and their active constituents, obtained from scholarly literature and local sources. The database is cross-linked with major biochemical databases and analytical tools. The integrated database provides resource for investigations into hitherto unexplored medicinal plants and serves to speed up the discovery of natural productsbased drugs. AVAILABILITY: The database is available for free at http://bif.uohyd.ac.in/nemedplant/orhttp://202.41.85.11/nemedplant/     

A comprehensive approach for establishment of the platform to analyze functions of KIAA proteins II: public release of inaugural version of InGaP database containing gene/protein expression profiles for 127 mouse KIAA genes/proteins.

The inaugural version of the InGaP database (Integrative Gene and Protein expression database; http://www.kazusa.or.jp/ingap/index.html) is a comprehensive database of gene/protein expression profiles of 127 mKIAA genes/proteins related to hypothetical ones obtained in our ongoing cDNA project. Information about each gene/protein consists of cDNA microarray analysis, subcellular localization of the ectopically expressed gene, and experimental data using anti-mKIAA antibody such as Western blotting and immunohistochemical analyses. KIAA cDNAs and their mouse counterparts, mKIAA cDNAs, were mainly isolated from cDNA libraries derived from brain tissues, thus we expect our database to contribute to the field of neuroscience. In fact, cDNA microarray analysis revealed that nearly half of our gene collection is predominantly expressed in brain tissues. Immunohistochemical analysis of the mouse brain provides functional insight into the specific area and/or cell type of the brain. This database will be a resource for the neuroscience community by seamlessly integrating the genomic and proteomic information about the mouse KIAA genes/proteins.     

Molecular genetic identification of southern hemisphere beaked whales (Cetacea: Ziphiidae)

To assist in the species-level identification of stranded and hunted beaked whales, we compiled a database of 'reference' sequences from the mitochondrial DNA control region for 15 of the 20 described ziphiid species. Reference samples for eight species were obtained from stranded animals in New Zealand and South Australia. Sequences for a further seven species were obtained from a previously published report. This database was used to identify 20 'test' samples obtained from incompletely documented strandings around New Zealand. Analyses showed that four of these 'test' specimens (20%) had initially been misidentified. These included two animals of particular interest: (i) a Blainville's beaked whale ( Mesoplodon densirostris) , the first record of this species in New Zealand waters; and, (ii) a juvenile Andrews' beaked whale ( Mesoplodon bowdoini ), a species known from just over 20 strandings worldwide. A published sequence from a beaked whale product purchased in the Republic of Korea was identified as a Cuvier's beaked whale ( Ziphius cavirostris ). Levels of intra- and interspecific variation were compared to determine the potential for misidentification when the database or taxonomy is incomplete. Intraspecific variation was generally <2%, and interspecific divergence was generally >4.7%. Exceptions were within-species variation in Hyperoodon planifrons , southern bottlenosed whale (4.12%), which exceeded the variation between the two species of Berardius (3.78%), and variation between the two specimens assigned to M. hectori , Hector's beaked whale (7.14%). The latter case appears to be an error in species identification, and could represent the discovery of a new species of beaked whale.     

SECOST: sequence-conformation-structure database for amino acid residues in proteins.

The sequence-conformation-structure database for amino acid residues contains information on 114 828 individual residues derived from the spatial structures of 473 high-quality non-homologous proteins. The information in the database is obtained using a variety of different methods and can be used in various protein modeling applications.     

不同盐度胁迫下杜氏盐藻全转录组测序及注释

【目的】通过对杜氏盐藻的转录组进行测序和基因功能分析,阐明不同浓度盐胁迫对杜氏盐藻生长发育以及不同信号途径的影响。【方法】分别获取9%NaCl浓度和24%NaCl浓度培养下的杜氏盐藻转录组并通过Illumina平台进行测序。将所得的序列进行拼接、去冗余处理。【结果】获得40682个unigenes,其中注释到NR数据库的10905个,注释到NT数据库的2768个,注释到SWISS-PROT数据库的7261个,注释到COG/KOG数据库的6499个。受到高盐胁迫的杜氏盐藻细胞相比低盐环境下,有717个基因表达上调,1012个基因表达下调。进一步对60个显著差异基因进行了功能聚类,发现盐胁迫诱导了光合作用途径的基因表达。【结论】杜氏盐藻通过提高光合作用基因表达增强耐盐性。该研究最大范围上挖掘了杜氏盐藻在高盐和低盐环境的基因转录水平,为深入揭示杜氏盐藻盐胁迫下基因差异表达提供了平台,并为进一步研究杜氏盐藻耐盐机理提供理论依据。     

中华鲟铁蛋白基因cDNA全长克隆与组织表达分析(英文）

根据铁蛋白基因的保守序列,搜索GenBank数据库中华鲟的EST数据库得到一条同源序列。通过RT-PCR的方法对该序列进行扩增,修改其测序错误,获得中华鲟铁蛋白亚基cDNA全长,经过注释提交GenBank数据库,获取序列登录号EU348782。该cDNA长度为896 bp,包含531bp的完整编码区,推测编码的蛋白质为176 aa,分子量为20339.9 Mr,理论等电点为5.66。它和大西洋鲑鱼铁蛋白序列同源性最高,达到82.9%。该基因在中华鲟肝脏、胰脏、肌肉、脑、心脏、鳃和胃粘膜等多种组织表达,在胰脏和心脏中表达量较高,在肌肉组织中表达较低。根据同源模建的方法得到该蛋白质三维结构,其包括5个α螺旋和10个转角结构,和人、蛙和细菌的铁蛋白均能很好的叠合,表现了很高的相似性,表明该蛋白结构和功能在基因进化中的高度保守性。     

CD200: a putative therapeutic target in cancer

CD200 was recently described as a new prognosis factor in multiple myeloma and acute myeloid leukemia. CD200 is a membrane glycoprotein that imparts an immunoregulatory signal through CD200R, leading to the suppression of T-cell-mediated immune responses. We investigated the expression of CD200 in cancer using publicly available gene expression data. CD200 gene expression in normal or malignant human tissues or cell lines was obtained from the Oncomine Cancer Microarray database, Amazonia database and the ITTACA database. We found significant overexpression of CD200 in renal carcinoma, head and neck carcinoma, testicular cancer, malignant mesothelioma, colon carcinoma, MGUS/smoldering myeloma, and in chronic lymphocytic leukemia compared to their normal cells or their tissue counterparts. Moreover, we show that CD200 expression is associated with tumor progression in various cancers. Taken together, these data suggest that CD200 is a potential therapeutic target and prognostic factor for a large array of malignancies.     

Integrated network pharmacology to investigate the mechanism of Salvia miltiorrhiza Bunge in the treatment of myocardial infarction

Salvia miltiorrhiza Bunge is a natural drug for treating myocardial infarction (MI). However, the targets and mechanisms of S. miltiorrhiza Bunge in the treatment of MI are yet to be elucidated. Traditional Chinese medicine systems pharmacology (TCMSP) data were used to screen out chemical constituents, and UniProt was used to predict relevant targets. Disease targets were obtained from the Online Mendelian Inheritance in Man and GeneCards databases. We used the STRING platform to build a protein–protein interaction network and used Cytoscape_v3.8.1 software to make a Drug–Ingredients–Gene Symbols–Disease network map. The Metascape database was used to perform gene ontology and Kyoto Encyclopaedia of Genes and Genomes (KEGG) enrichment analyses for drug–disease overlapping gene symbols. The targets identified by network pharmacology were further verified by in vitro and in vivo experiments. Seventy-five active components of S. miltiorrhiza Bunge were obtained from the TCMSP database, while 370 disease targets and 29 cross-targets were obtained from the Genecards database. The KEGG pathway enrichment results suggested that the mechanism of S. miltiorrhiza Bunge in the treatment of MI was significantly related to the VEGF signalling pathway. In vitro and in vivo experiments were used to evaluate the reliability of some important active ingredients and targets. S. miltiorrhiza Bunge alleviated the damage to cardiac function, attenuated myocardial fibrosis and protected endothelial cell function by increasing the expression of TGF-β and VEGFA. S. miltiorrhiza Bunge showed the therapeutic effect of MI by promoting the expression of VEGFA signalling pathway, providing a reliable basis for exploring herbal treatment of MI.     

Combing ontologies and dipeptide composition for predicting DNA-binding proteins

Given a novel protein it is very important to know if it is a DNA-binding protein, because DNA-binding proteins participate in the fundamental role to regulate gene expression. In this work, we propose a parallel fusion between a classifier trained using the features extracted from the gene ontology database and a classifier trained using the dipeptide composition of the protein. As classifiers the support vector machine (SVM) and the 1-nearest neighbour are used. Matthews's correlation coefficient obtained by our fusion method is approximately 0.97 when the jackknife cross-validation is used; this result outperforms the best performance obtained in the literature (0.924) using the same dataset where the SVM is trained using only the Chou's pseudo amino acid based features. In this work also the area under the ROC-curve (AUC) is reported and our results show that the fusion permits to obtain a very interesting 0.995 AUC. In particular we want to stress that our fusion obtains a 5% false negative with a 0% of false positive. Matthews's correlation coefficient obtained using the single best GO-number is only 0.7211 and hence it is not possible to use the gene ontology database as a simple lookup table. Finally, we test the complementarity of the two tested feature extraction methods using the Q-statistic. We obtain the very interesting result of 0.58, which means that the features extracted from the gene ontology database and the features extracted from the amino acid sequence are partially independent and that their parallel fusion should be studied more.     

家蚕丝腺蛋白质组学研究方法的建立

通过高精度的双向电泳技术对家蚕中部丝腺组织的蛋白质进行分离,采用基质辅助激光解析电离飞行时间质谱(matrix-assistedlaserdesorption/ionizationtimeofflightmassspectrometry,MALDI-TOF-MS)对其中一些表达量较高的蛋白点进行鉴定,并利用GPMAW(GeneralProtein/MassAnalysisforWindows)软件结合家蚕基因组预测的蛋白质数据库构建本地的肽质量指纹图谱数据库,对所得到的肽质量指纹图谱进行分析。研究发现,经过双向凝胶电泳及其图象分析技术,硝酸银染色和考马斯亮蓝染色分别能分离出500个以上和100个以上的蛋白点。这些蛋白质点主要集中在分子量15~90kD区域,等电点pH3·5~7之间。MALDI-TOF-MS鉴定的25个考染蛋白点中有60%以上的PMF(PeptideMassFingerprint)的信号峰较强。在数据库检索过程中,利用家蚕肽质量指纹数据库所得检索结果与在Mascot的检索结果相比,前者不仅能够准确鉴定出一些已有研究报道的蛋白,从而验证检索方法的可行性,而且还能够对一些已经被家蚕基因组数据库所预测但未曾报道的新蛋白质进行鉴定,从而建立了一整套适合于家蚕蛋白质组研究的方法,并为其它绢丝昆虫蛋白质组研究提供了重要参考。     

Codon usage tabulated from the international DNA sequence databases.

CUTG (codon usage tabulated from GenBank) is a comprehensive database for codon usage. The codon usage for each full-length protein gene has been calculated using the nucleotide sequence obtained from GenBank sequence database. The sum of the codon use of each organism has been also calculated. The data files can be obtained from anonymous ftp sites of DDBJ, DISC and EBI. The list of codonusage of genes in organisms was made searchableby name of organism through a web site http://www.dna.affrc.go.jp/ approximately nakamura/CUTG.html The compilation is synchronized with major release of GenBank.     

NEMiD: A Web-Based Curated Microbial Diversity Database with Geo-Based Plotting

The majority of the Earth''s microbes remain unknown, and that their potential utility cannot be exploited until they are discovered and characterized. They provide wide scope for the development of new strains as well as biotechnological uses. The documentation and bioprospection of microorganisms carry enormous significance considering their relevance to human welfare. This calls for an urgent need to develop a database with emphasis on the microbial diversity of the largest untapped reservoirs in the biosphere. The data annotated in the North-East India Microbial database (NEMiD) were obtained by the isolation and characterization of microbes from different parts of the Eastern Himalayan region. The database was constructed as a relational database management system (RDBMS) for data storage in MySQL in the back-end on a Linux server and implemented in an Apache/PHP environment. This database provides a base for understanding the soil microbial diversity pattern in this megabiodiversity hotspot and indicates the distribution patterns of various organisms along with identification. The NEMiD database is freely available at www.mblabnehu.info/nemid/.     

Biomarker potentials of miRNA-associated circRNAs in breast cancer (MCF-7) cells: an in vitro and in silico study

Breast cancer is a heterogeneous disease, which is the most common malignancy in women. The incidence and mortality rates of breast cancer indicate that it is the leading cause of cancer-related with deaths. circRNAs operate as part of competing endogenous RNAs (ceRNAs) mechanisms, which play critical roles in the different biological processes of breast cancer such as proliferation, migration, and apoptosis. The goal of the present study is to identify the potential predictive biomarker for breast cancer diagnosis in the circRNA network by in vitro and in silico analyzes. 40 miRNAs were obtained from the miRWalk database and their combinatorial target genes (potential ceRNAs) were identified with ComiR. We stated that the cancer-specific circRNA genes in MCF-7 cells using the cancer-specific circRNA (CSDC) database, and obtained the ones showing potential ceRNA activity in our previous analysis among them. Identified genes with remarkable expression differences between BCa and normal breast tissue were determined by the GEPIA database. Moreover, the Spearman correlation test in the GEPIA database was used for the statistical analysis of the relationship between DCAF7 and SOGA1, SOGA1 and AVL 9, DCAF7 and AVL 9 gene pairs. And also, DCAF7, SOGA1, and AVL9 gene expression levels were detected in MCF-7 and MCF-10A cells by RT-qPCR method. DCAF7, SOGA1, and AVL9 gene were significantly more expressed to BCa tissue and MCF-7 cells than normal breast tissue and MCF-10 A cells. And also, DCAF7 and SOGA1, SOGA1 and AVL9, DCAF7 and AVL9 genes pairs were found to be significantly correlated with BCa. These genes may be considered as potential predictive biomarkers to discriminate BCa patients from healthy persons. Our preliminary results can supply a new perspective for in vitro and vivo studies in the future.

     

Mass spectrometry-based proteomics combined with bioinformatic tools for bacterial classification

Timely classification and identification of bacteria is of vital importance in many areas of public health. We present a mass spectrometry (MS)-based proteomics approach for bacterial classification. In this method, a bacterial proteome database is derived from all potential protein coding open reading frames (ORFs) found in 170 fully sequenced bacterial genomes. Amino acid sequences of tryptic peptides obtained by LC-ESI MS/MS analysis of the digest of bacterial cell extracts are assigned to individual bacterial proteomes in the database. Phylogenetic profiles of these peptides are used to create a matrix of sequence-to-bacterium assignments. These matrixes, viewed as specific assignment bitmaps, are analyzed using statistical tools to reveal the relatedness between a test bacterial sample and the microorganism database. It is shown that, if a sufficient amount of sequence information is obtained from the MS/MS experiments, a bacterial sample can be classified to a strain level by using this proteomics method, leading to its positive identification.     

RIKEN tandem mass spectral database (ReSpect) for phytochemicals: A plant-specific MS/MS-based data resource and database

The fragment pattern analysis of tandem mass spectrometry (MS/MS) has long been used for the structural characterization of metabolites. The construction of a plant-specific MS/MS data resource and database will enable complex phytochemical structures to be narrowed down to candidate structures. Therefore, a web-based database of MS/MS data pertaining to phytochemicals was developed and named ReSpect (RIKEN tandem mass spectral database). Of the 3595 metabolites in ReSpect, 76% were derived from 163 literature reports, whereas the rest was obtained from authentic standards. As a main web application of ReSpect, a fragment search was established based on only the m/z values of query data and records. The confidence levels of the annotations were managed using the MS/MS fragmentation association rule, which is an algorithm for discovering common fragmentations in MS/MS data. Using this data resource and database, a case study was conducted for the annotation of untargeted MS/MS data that were selected after quantitative trait locus analysis of the accessions (Gifu and Miyakojima) of a model legume Lotus japonicus. In the case study, unknown metabolites were successfully narrowed down to putative structures in the website.     

PASS2: a semi-automated database of Protein Alignments Organised as Structural Superfamilies

PASS2 is a nearly automated version of CAMPASS and contains sequence alignments of proteins grouped at the level of superfamilies. This database has been created to fall in correspondence with SCOP database (1.53 release) and currently consists of 110 multi-member superfamilies and 613 superfamilies corresponding to single members. In multi-member superfamilies, protein chains with no more than 25% sequence identity have been considered for the alignment and hence the database aims to address sequence alignments which represent 26 219 protein domains under the SCOP 1.53 release. Structure-based sequence alignments have been obtained by COMPARER and the initial equivalences are provided automatically from a MALIGN alignment and subsequently augmented using STAMP4.0. The final sequence alignments have been annotated for the structural features using JOY4.0. Several interesting links are provided to other related databases and genome sequence relatives. Availability of reliable sequence alignments of distantly related proteins, despite poor sequence identity and single-member superfamilies, permit better sampling of structures in libraries for fold recognition of new sequences and for the understanding of protein structure–function relationships of individual superfamilies. The database can be queried by keywords and also by sequence search, interfaced by PSI-BLAST methods. Structure-annotated sequence alignments and several structural accessory files can be retrieved for all the superfamilies including the user-input sequence. The database can be accessed from http://www.ncbs.res.in/%7Efaculty/mini/campass/pass.html.     

Database on the structure of small ribosomal subunit RNA.

The database on small ribosomal subunit RNA structure contains (June 1994) 2824 nucleotide sequences. All these sequences are stored in the form of an alignment based on the adopted secondary structure model, which in turn is corroborated by the observation of compensating substitutions in the alignment. The complete database is made available to the scientific community through anonymous ftp on our server in Antwerp. A special effort was made to improve electronic retrieval and a program is supplied that allows to create different file formats. The database can also be obtained from the EMBL nucleotide sequence library.