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A detailed consideration of a principal domain of vertebrate fibrinogen and its relatives.

Vertebrate fibrinogen is a complex multidomained protein, the structure of which has been inferred mainly from electron microscopy and amino acid sequence studies. Among its most prominent features are two terminal globules, moieties that are mostly composed of the carboxyl-terminal two-thirds of the beta and gamma chains. Sequences homologous to the latter segments are found in several other animal proteins, always as the carboxyl-terminal contributions. An alignment of 15 amino acid sequences from various fibrinogens and related proteins has been used to make judgments about secondary structure. The nature of amino acids at each position in the alignment was used to distinguish alpha helices and beta structure on the one hand from loops and turns on the other, and the resulting assignments compared with predictions of secondary structure by other methods. Additionally, constraints imposed by the locations of cystines, carbohydrate attachment residues, and proteinase-sensitive points provided further insights into the general organization of the postulated secondary structures. Other ancillary data, including the effects of bound calcium and the locations of labeled or variant residues, were also considered. An intriguing similarity to a portion of the recently reported structure of a calcium-dependent lectin is noted.

Amino Acid Sequence↗

[Human embryonic haemoglobins. The primary structure of the zeta chains (author's transl)].

The primary structure of the embryonic zeta-chains of humans is given. Blood was obtained from a case with hydrops foetalis syndrom due to homozygous alpha-thalassemia 1. The zeta-chains were isolated by high performance liquid chromatography on reversed phase (RP8). The peptides for sequence work were generated by chemical methods (cyanogen bromide cleavage and acid cleavage at the Asp-Pro bond) and enzymatic cleavages with trypsin of unmodified and succinylated zeta-chains. The peptides were separated by high performance liquid chromatography and sequenced by automatic N-terminal degradation procedures. The N-terminal residue of the zeta-chains is blocked. Therefore the sequence of the N-terminal tryptic peptide was determined after incubation with chymotrypsin. The zeta-chains are alpha-type chains and consist of 141 amino acid residues. The alignment of the zeta-chains with the human alpha-chains shows 57 amino acid exchanges: Thus it is evident that there is a greater phylogenetic distance between the alpha type chains than between the beta-type chains.

Amino Acid Sequence↗

A third Ig light chain gene isotype in Xenopus laevis consists of six distinct VL families and is related to mammalian lambda genes.

Xenopus laevis is a unique model for studying the ontogenetic development of immune functions. A short primer PCR amplification method was employed to amplify fragments from Xenopus genomic DNA that are related to Ig light chains and TCR. One fragment was identified that appeared to represent a novel type of light chain and was used as a probe to recover the corresponding cDNA from a spleen cDNA library. We designate these light chains type III. Using an iterative screening procedure, six families of VL genes, two distinct JL and two distinct CL sequences, were identified. In a comparison of phylogenetically diverse light chains, the type III genes align with higher vertebrate lambda genes. Southern blot hybridization analyses with genomic DNA from different animals showed the VL and CL sequences to be both diverse and polymorphic. Intrafamily sequence comparisons of VL genes revealed additional diversity. Collectively, these studies confirm the existence of a third type of light chain gene in Xenopus, establish a high degree of genetic variation in the sequences encoding the light chain V regions, and provide the most significant evidence to date for the presence of a lambda-like light chain gene at the phylogenetic level of the amphibians.

Amino Acid Sequence↗

Confidence intervals of similarity values determined for cloned SSU rRNA genes from environmental samples.

The goal of this research was to investigate the influence of the error rate of sequence determination on the differentiation of cloned SSU rRNA gene sequences for assessment of community structure. SSU rRNA cloned sequences from groundwater samples that represent different bacterial divisions were sequenced multiple times with the same sequencing primer. From comparison of sequence alignments with unedited data, confidence intervals were obtained from both a 'double binomial' model of sequence comparison and by non-parametric methods. The results indicated that similarity values below 0.9946 are likely derived from dissimilar sequences at a confidence level of 0.95, and not sequencing errors. The results confirmed that screening by direct sequence determination could be reliably used to differentiate at the species level. However, given sequencing errors comparable to those seen in this study, sequences with similarities above 0.9946 should be treated as the same sequence if a 95% confidence is desired.

Base Sequence↗

Gene expression screening for specific genes associated with mouse mammary tumor development.

The preneoplastic hyperplastic alveolar nodule is a frequent and well-characterized precursor to mammary tumors in the mouse. Although the biological characteristics of the preneoplastic state have been understood for many years, the molecular alterations associated with preneoplasia and tumorigenicity are unknown. We applied the technique of differential display of mRNA to two closely matched cell populations of mammary preneoplasias that differed only in their tumorigenic potential. Two mRNAs were isolated that were overexpressed only in tumorigenic preneoplasias and in tumors and not in normal pregnant mammary gland or in nontumorigenic preneoplasias. Partial nucleotide sequencing indicated that one of the mRNAs had not yet been described, whereas the second mRNA was highly homologous to a relatively uncharacteristic gene termed pT-2. These results illustrate the utility of the differential display method for isolating and identifying uniquely expressed genes from tissues maintained in the microenvironment where tumors arise naturally.

Animals↗

Rapid ribosequencing--an effective diagnostic tool for detecting microbial infection.

BACKGROUND: Rapid and reliable identification of microorganisms is a prerequisite for the diagnosis and subsequent treatment of infectious diseases. The identification of pathogenic bacteria is traditionally based on their isolation from clinical samples and propagation on culture medium in the routine laboratory. However, despite clinical signs of infection, culture of the pathogenic agent often fails. This may be due to a low number of microorganisms, prior antibiotic treatment, nonculturable microorganisms or specific culture requirements for presently unknown pathogens. Amplification and sequencing of the entire prokaryotic 16S-rRNA is time consuming, labor intensive and expensive. MATERIALS AND METHODS: We describe here a procedure for the identification of a wide range of known and unknown clinically relevant microorganisms by sequencing a small, but highly informative region of the prokaryotic 16S-rRNA gene. This rapid ribosequencing method was evaluated with various reference strains and with clinical samples including eye anterior chamber fluid, cerebrospinal fluid (CSF) and blood cultures. RESULTS: All sequences obtained from the reference strains corresponded to the sequences in databases. We correlated severe eye infection with the isolation of Pseudomonas putida, neurological disorder with Tropheryma whippelii and disseminated visceral abscesses in a child with Blastobacter denitrificans. CONCLUSION: We consider the rapid ribosequencing method as a promising new tool for the analysis of infectious agents in primarily sterile body fluids where conventional culturing of microorganisms fails.

Bacteria↗

Authentication of Pinellia ternata and its adulterants based on PCR with specific primers.

Tubers of Pinellia ternata are one of the well known traditional Chinese medicines. According to the Chinese Pharmacopoeia, the remedy is commonly used as an antitussive and expectorant. The shapes of young tubers from species of P. ternata are similar to those of P. pedatisecta and Arisaema heterophyllum, but different in medicinal properties. In order to provide molecular evidence for genuine origin identification of P. ternata species, the mannose-binding lectin sequences of P. ternata and its adulterants P. pedatisecta and A. heterophyllum were cloned using genomic walker technology. Based on the sequence analyses, we designed a pair of species-specific primers to authenticate P. ternata. For PCR-selective restriction (PCR-SR), we identified two distinctive sites which can be recognized by the restriction endonucleases BAMHI and NCOI in the open reading frame sequences of P. ternata, P. pedatisecta and A. heterophyllum. Our results indicate that the methods of PCR and PCR-SR are effective, accurate and applicable for identification of the bulbs of P. ternata.

Base Sequence↗

Primer design using genetic algorithm.

MOTIVATION: Before performing a polymerase chain reaction experiment, a pair of primers to clip the target DNA subsequence is required. However, this is a tedious task as too many constraints need to be satisfied. Various kinds of approaches for designing a primer have been proposed in the last few decades, but most of them do not have restriction sites on the designed primers and do not satisfy the specificity constraint. RESULTS: The proposed algorithm imitates nature's process of evolution and genetic operations on chromosomes in order to achieve optimal solutions, and is a best fit for DNA behavior. Experimental results indicate that the proposed algorithm can find a pair of primers that not only obeys the design properties but also has a specific restriction site and specificity. Gel electrophoresis verifies that the proposed method really can clip out the target sequence. AVAILABILITY: A public version of the software is available on request from the authors.

Algorithms↗

Molecular genotyping of human Ureaplasma species based on multiple-banded antigen (MBA) gene sequences.

Ureaplasma urealyticum has been divided into 14 serovars. Recently, subdivision of U. urealyticum into two species has been proposed: U. parvum (previously U. urealyticum parvo biovar), comprising four serovars (1, 3, 6, 14) and U. urealyticum (previously U. urealyticum T-960 biovar), 10 serovars (2, 4, 5, 7-13). The multiple-banded antigen (MBA) genes of these species contain both species and serovar/subtype specific sequences. Based on whole sequences of the 5'-ends of MBA genes of U. parvum serovars and partial sequences of the 5'-ends of MBA genes of U. urealyticum serovars, we previously divided each of these species into three MBA genotypes. To further elucidate the relationships between serovars, we sequenced the whole 5'-ends of MBA genes of all 10 U. urealyticum serovars and partial repetitive regions of these genes from all serovars of U. parvum and U. urealyticum. For the first time, all four serovars of U. parvum were clearly differentiated from each other. In addition, the 10 serovars of U. urealyticum were divided into five MBA genotypes, as follows: MBA genotype A comprises serovars 2, 5, 8; MBA genotype B, serovar 10 only; MBA genotype C, serovars 4, 12, 13; MBA genotype D, serovar 9 only; and MBA genotype E comprises serovars 7 and 11. There were no sequence differences between members within each MBA genotype. Further work is required to identify other genes or other regions of the MBA genes that may be used to differentiate U. urealyticum serovars within MBA genotypes A, C and E. A better understanding of the molecular basis of serotype differentiation will help to improve subtyping methods for use in studies of the pathogenesis and epidemiology of these organisms.

Amino Acid Sequence↗

Discriminative discovery of transcription factor binding sites from location data.

MOTIVATION: The availability of genome-wide location analyses based on chromatin immunoprecipitation (ChIP) data gives a new insight for in silico analysis of transcriptional regulations. RESULTS: We propose a novel discriminative discovery framework for precisely identifying transcriptional regulatory motifs from both positive and negative samples (sets of upstream sequences of both bound and unbound genes by a transcription factor (TF)) based on the genome-wide location data. In this framework, our goal is to find such discriminative motifs that best explain the location data in the sense that the motifs precisely discriminate the positive samples from the negative ones. First, in order to discover an initial set of discriminative substrings between positive and negative samples, we apply a decision tree learning method which produces a text-classification tree. We extract several clusters consisting of similar substrings from the internal nodes of the learned tree. Second, we start with initial profile-HMMs constructed from each cluster for representing putative motifs and iteratively refine the profile-HMMs to improve the discrimination accuracies. Our genome-wide experimental results on yeast show that our method successfully identifies the consensus sequences for known TFs in the literature and further presents significant performances for discriminating between positive and negative samples in all the TFs, while most other motif detecting methods show very poor performances on the problem of discriminations. Our learned profile-HMMs also improve false negative predictions of ChIP data.

Algorithms↗

Detection of HLA-A*24 null alleles by DNA typing methods.

A number of cases have been identified (seven unrelated individuals from the Northern Ireland bone marrow donor registry and two family groups) where an HLA-A*24 allele fails to express the normal HLA-A24 antigen. Family information has revealed common haplotypes with respect to each non-expressed allele indicating that the occurrence of these mutations has been a recent event. Two methods for the clinical typing of these alleles have been evaluated--PCR-SSOP and PCR-SSCP analysis.

Base Sequence↗

Analysis of actinomycete communities by specific amplification of genes encoding 16S rRNA and gel-electrophoretic separation in denaturing gradients.

A group-specific primer, F243 (positions 226 to 243, Escherichia coli numbering), was developed by comparison of sequences of genes encoding 16S rRNA (16S rDNA) for the detection of actinomycetes in the environment with PCR and temperature or denaturing gradient gel electrophoresis (TGGE or DGGE, respectively). The specificity of the forward primer in combination with different reverse ones was tested with genomic DNA from a variety of bacterial strains. Most actinomycetes investigated could be separated by TGGE and DGGE, with both techniques giving similar results. Two strategies were employed to study natural microbial communities. First, we used the selective amplification of actinomycete sequences (E. coli positions 226 to 528) for direct analysis of the products in denaturing gradients. Second, a nested PCR providing actinomycete-specific fragments (E. coli positions 226 to 1401) was used which served as template for a PCR when conserved primers were used. The products (E. coli positions 968 to 1401) of this indirect approach were then separated by use of gradient gels. Both approaches allowed detection of actinomycete communities in soil. The second strategy allowed the estimation of the relative abundance of actinomycetes within the bacterial community. Mixtures of PCR-derived 16S rDNA fragments were used as model communities consisting of five actinomycetes and five other bacterial species. Actinomycete products were obtained over a 100-fold dilution range of the actinomycete DNA in the model community by specific PCR; detection of the diluted actinomycete DNA was not possible when conserved primers were used. The methods tested for detection were applied to monitor actinomycete community changes in potato rhizosphere and to investigate actinomycete diversity in different soils.

Actinomycetales↗

Defrosting the frozen approximation: PROSPECTOR--a new approach to threading.

PROSPECTOR (PROtein Structure Predictor Employing Combined Threading to Optimize Results) is a new threading approach that uses sequence profiles to generate an initial probe-template alignment and then uses this "partly thawed" alignment in the evaluation of pair interactions. Two types of sequence profiles are used: the close set, composed of sequences in which sequence identity lies between 35% and 90%; and the distant set, composed of sequences with a FASTA E-score less than 10. Thus, a total of four scoring functions are used in a hierarchical method: the close (distant) sequence profiles screen a structural database to provide an initial alignment of the probe sequence in each of the templates. The same database is then screened with a scoring function composed of sequence plus secondary structure plus pair interaction profiles. This combined hierarchical threading method is called PROSPECTOR1. For the original Fischer database, 59 of 68 pairs are correctly identified in the top position. Next, the set of the top 20 scoring sequences (four scoring functions times the top five structures) is used to construct a protein-specific pair potential based on consensus side-chain contacts occurring in 25% of the structures. In subsequent threading iterations, this protein-specific pair potential, when combined in a composite manner, is found to be more sensitive in identifying the correct pairs than when the original statistical potential is used, and it increases the number of recognized structures for the combined scoring functions, termed PROSPECTOR2, to a total of 61 Fischer pairs identified in the top position. Application to a second, smaller Fischer database of 27 probe-template pairs places 18 (17) structures in the top position for PROSPECTOR1 (PROSPECTOR2). Overall, these studies show that the use of pair interactions as assessed by the improved Z-score enhances the specificity of probe-template matches. Thus, when the hierarchy of scoring functions is combined, the ability to identify correct probe-template pairs is significantly enhanced. Finally, a web server has been established for use by the academic community (http://bioinformatics.danforthcenter.org/services/threading.html).

Benchmarking↗

[Differentiation of mumps virus strains by polymerase chain reaction and silver stained single-strand conformation polymorphism analysis].

The cDNA fragments amplified through nested RT-PCR from the small hydrophobic (SH) protein gene and its flanking region of the five wild mumps viruses and Enders strain were subjected to single-strand conformation polymorphism (SSCP) analysis by using silver staining. These five wild isolates could be divided into three SSCP patterns and they were differentiated from the Enders strain. Two wild strains which have 3.4% heterology of the nucleotide acid sequence could be distinguished by the method. The results were well correlated with sequence analysis of the SH gene segments, indicating high applicability of the silver staining SSCP analysis for differentiation of mumps virus strains. Furthermore, the method, which is not only quick, sensitive, safe and reliable, but also reproducible and inexpensive, can be used in the molecular epidemiology study of mumps viruses.

Base Sequence↗

PCR-restriction fragment length polymorphism analysis of a diagnostic 452-base-pair DNA fragment discriminates between Cryptosporidium parvum and C. meleagridis and between C. parvum isolates of human and animal origin.

Genomic DNAs from human Cryptosporidium isolates previously typed by analysis of the 18S ribosomal DNA locus (Cryptosporidium parvum bovine genotype, C. parvum human genotype, Cryptosporidium meleagridis, and Cryptosporidium felis) were used to amplify the diagnostic fragment described by Laxer et al. (M. A. Laxer, B. K. Timblin, and R. J. Patel, Am. J. Trop. Med. Hyg., 45:688-694, 1991). The obtained 452-bp amplified fragments were sequenced and aligned with the homologous Cryptosporidium wrairi sequence. Polymorphism was exploited to develop a restriction fragment length polymorphism method able to discriminate Cryptosporidium species and C. parvum genotypes.

Animals↗

Estimation of reversible substitution matrices from multiple pairs of sequences.

We present a method for estimating the most general reversible substitution matrix corresponding to a given collection of pairwise aligned DNA sequences. This matrix can then be used to calculate evolutionary distances between pairs of sequences in the collection. If only two sequences are considered, our method is equivalent to that of Lanave et al. (1984). The main novelty of our approach is in combining data from different sequence pairs. We describe a weighting method for pairs of taxa related by a known tree that results in uniform weights for all branches. Our method for estimating the rate matrix results in fast execution times, even on large data sets, and does not require knowledge of the phylogenetic relationships among sequences. In a test case on a primate pseudogene, the matrix we arrived at resembles one obtained using maximum likelihood, and the resulting distance measure is shown to have better linearity than is obtained in a less general model.

Algorithms↗