Specific binding of Alu sequences by HeLa nuclear extracts

Plasmid Blur 8 which contains the 300bp human Alu consensus sequence and plasmid pBR322 were digested with restriction enzymes and the fragments obtained end labelled with 32P-gamma-ATP. The end labelled fragments were incubated with HeLa nuclear extracts and the incubation mixtures passed through a nitrocellulose filter. The 300bp alu consensus sequence was preferentially retained on the filter. The HeLa nuclear extract did not preferentially bind any fragments generated from pBR322 and histones which bind nonspecifically all DNA fragments did not preferentially bind the alu sequence. We conclude that the HeLa nuclear extract contains components which specifically bind the human alu sequence.     

The accuracy of DNA sequences: estimating sequence quality.

In this paper we describe a method for the statistical reconstruction of a large DNA sequence from a set of sequenced fragments. We assume that the fragments have been assembled and address the problem of determining the degree to which the reconstructed sequence is free from errors, i.e., its accuracy. A consensus distribution is derived from the assembled fragment configuration based upon the rates of sequencing errors in the individual fragments. The consensus distribution can be used to find a minimally redundant consensus sequence that meets a prespecified confidence level, either base by base or across any region of the sequence. A likelihood-based procedure for the estimation of the sequencing error rates, which utilizes an iterative EM algorithm, is described. Prior knowledge of the error rates is easily incorporated into the estimation procedure. The methods are applied to a set of assembled sequence fragments from the human G6PD locus. We close the paper with a brief discussion of the relevance and practical implications of this work.     

Confidence-Guided Local Structure Prediction with HHfrag

We present a method to assess the reliability of local structure prediction from sequence. We introduce a greedy algorithm for filtering and enrichment of dynamic fragment libraries, compiled with remote-homology detection methods such as HHfrag. After filtering false hits at each target position, we reduce the fragment library to a minimal set of representative fragments, which are guaranteed to have correct local structure in regions of detectable conservation. We demonstrate that the location of conserved motifs in a protein sequence can be predicted by examining the recurrence and structural homogeneity of detected fragments. The resulting confidence score correlates with the local RMSD of the representative fragments and allows us to predict torsion angles from sequence with better accuracy compared to existing machine learning methods.     

Synthetic oligodeoxyribonucleotides showing abnormal mobilities on polyacrylamide gel electrophoresis

We found that synthetic DNA fragments containing a GCGAAAGC sequence showed higher mobilities than oligonucleotides without the sequence on denaturing polyacrylamide gel electrophoresis. For example, the fragment, GCGAAAGCT (9mer), showed higher mobility than the corresponding 8mer (CGAAAGCT). In addition, on Maxam-Gilbert sequencing, a 21mer containing the GCGAAAGC sequence showed an abnormal pattern, which were similar to those due to compression observed on sequencing of DNAs with high GC contents, as recently reported. It was suggested that this compression was due to the increased mobilities of the specific fragments with the GCGAAAGC sequence and that these fragments took on abnormal conformations.     

HHfrag: HMM-based fragment detection using HHpred

MOTIVATION: Over the last decade, both static and dynamic fragment libraries for protein structure prediction have been introduced. The former are built from clusters in either sequence or structure space and aim to extract a universal structural alphabet. The latter are tailored for a particular query protein sequence and aim to provide local structural templates that need to be assembled in order to build the full-length structure. RESULTS: Here, we introduce HHfrag, a dynamic HMM-based fragment search method built on the profile-profile comparison tool HHpred. We show that HHfrag provides advantages over existing fragment assignment methods in that it: (i) improves the precision of the fragments at the expense of a minor loss in sequence coverage; (ii) detects fragments of variable length (6-21 amino acid residues); (iii) allows for gapped fragments and (iv) does not assign fragments to regions where there is no clear sequence conservation. We illustrate the usefulness of fragments detected by HHfrag on targets from most recent CASP.     

A Consensus Data Mining secondary structure prediction by combining GOR V and Fragment Database Mining

The major aim of tertiary structure prediction is to obtain protein models with the highest possible accuracy. Fold recognition, homology modeling, and de novo prediction methods typically use predicted secondary structures as input, and all of these methods may significantly benefit from more accurate secondary structure predictions. Although there are many different secondary structure prediction methods available in the literature, their cross-validated prediction accuracy is generally <80%. In order to increase the prediction accuracy, we developed a novel hybrid algorithm called Consensus Data Mining (CDM) that combines our two previous successful methods: (1) Fragment Database Mining (FDM), which exploits the Protein Data Bank structures, and (2) GOR V, which is based on information theory, Bayesian statistics, and multiple sequence alignments (MSA). In CDM, the target sequence is dissected into smaller fragments that are compared with fragments obtained from related sequences in the PDB. For fragments with a sequence identity above a certain sequence identity threshold, the FDM method is applied for the prediction. The remainder of the fragments are predicted by GOR V. The results of the CDM are provided as a function of the upper sequence identities of aligned fragments and the sequence identity threshold. We observe that the value 50% is the optimum sequence identity threshold, and that the accuracy of the CDM method measured by Q(3) ranges from 67.5% to 93.2%, depending on the availability of known structural fragments with sufficiently high sequence identity. As the Protein Data Bank grows, it is anticipated that this consensus method will improve because it will rely more upon the structural fragments.     

Amino acid sequence analysis of fragments generated by partial proteolysis from large simian virus 40 tumor antigen

Large simian virus 40 tumor antigen was bound as immune complex to protein A-Sepharose and then subjected to limited proteolysis which yielded several discrete fragments. Primary structures near the cleavage sites were determined by radiosequencing techniques. Experimental data for five fragments matched an amino acid sequence predicted from a nucleotide sequence at 0.51 map unit of the viral genome. We have thus identified the reading frame of translation beyond the intervening sequence at 0.60 to 0.53 map units. A cleavage map of tumor antigen was established on the basis of the sequence data and of the apparent molecular weights of the fragments. The bond most susceptible to cleavage by trypsin was between arginine-130 and lysine-131 in a cluster of five basis amino acids. Other cleavage sites were located in the COOH-terminal half of tumor antigen. Each fragment was analyzed by complete tryptic proteolysis and peptide mapping on an ion exchange column. Peaks occurring in the peptide map of large tumor antigen could thus be assigned to different segments of the protein. Two specific regions of tumor antigen were shown to be phosphorylated.     

A support vector machine approach to the identification of phosphorylation sites

We describe a bioinformatics tool that can be used to predict the position of phosphorylation sites in proteins based only on sequence information. The method uses the support vector machine (SVM) statistical learning theory. The statistical models for phosphorylation by various types of kinases are built using a dataset of short (9-amino acid long) sequence fragments. The sequence segments are dissected around post-translationally modified sites of proteins that are on the current release of the Swiss-Prot database, and that were experimentally confirmed to be phosphorylated by any kinase. We represent them as vectors in a multidimensional abstract space of short sequence fragments. The prediction method is as follows. First, a given query protein sequence is dissected into overlapping short segments. All the fragments are then projected into the multidimensional space of sequence fragments via a collection of different representations. Those points are classified with pre-built statistical models (the SVM method with linear, polynomial and radial kernel functions) either as phosphorylated or inactive ones. The resulting list of plausible sites for phosphorylation by various types of kinases in the query protein is returned to the user. The efficiency of the method for each type of phosphorylation is estimated using leave-one-out tests and presented here. The sensitivities of the models can reach over 70%, depending on the type of kinase. The additional information from profile representations of short sequence fragments helps in gaining a higher degree of accuracy in some phosphorylation types. The further development of an automatic phosphorylation site annotation predictor based on our algorithm should yield a significant improvement when using statistical algorithms in order to quantify the results.     

A mercury-thiol affinity system for rapid generation of overlapping labeled DNA fragments for DNA sequencing.

We describe an in vitro protocol for quickly generating overlapping terminal-labeled restriction fragments for DNA sequence analysis via the Maxam-Gilbert technique. The protocol involves introducing mercurated nucleotides into one end of a region to be sequenced, partial digestion with several restriction enzymes and terminal-labeling, separation of the mercurated restriction enzymes and terminal-labeling, separation of the mercurated restriction fragments from non-mercurated ones on a thiol column and resolution of the different mercurated fragments on one preparative agarose gel. The protocol was used to determine the nucleotide sequence of a 980 base pair cDNA that contains the coding region for a variable surface glycoprotein of Trypanosoma brucei. It could just as quickly and easily be used to obtain many terminal-labeled overlapping restriction fragments covering a region of several kilobases.     

Homologies between X and Y chromosomes detected by DNA probes: localisation and evolution.

We have isolated and characterized DNA probes that detect homologies between the X and Y chromosomes. Clone St25 is derived from the q13-q22 region of the X chromosome and recognizes a 98% homologous sequence on the Y chromosome. Y specific fragments were present in DNAs from 5 Yq-individuals and from 4 out of 7 XX males analysed. An X linked TaqI RFLP is detected with the St25 probe (33% heterozygosity) which should allow one to establish a linkage map including other polymorphic X-Y homologous sequences in this region and to compare it to a Y chromosome deletion map. Probe DXS31 located in Xp223-pter detects a 80% homologous sequence in the Y chromosome. The latter can be assigned to Yq11-qter outside the region which contains the Y specific satellite sequences. ACT1 and ACT2, the actin sequences present on the X and Y chromosomes respectively, have been cloned. No homology was detected between the X and Y derived fragments outside from the actin sequence. ACT2 and the Y specific sequence corresponding to DXS31 segregate together in a panel of Y chromosomes aberrations, and might be useful markers for the region important for spermatogenesis in Yq. Various primate species were analysed for the presence of sequences homologous to the three probes. Sequences detected by St25 and DXS31 are found only on the X chromosome in cercopithecoidae. The sequences which flank ACT2 detect in the same species autosomal fragments but no male specific fragments. It is suggested that the Y chromosome acquired genetic material from the X chromosome and from autosomes at various times during primate evolution.     

Strategy for selection of internal, low redundancy probes for identification of specific cDNA

Internal peptide fragments containing tryptophan residues are useful predictors of coding sequence for selection of restriction enzyme fragments or synthetic oligonucleotides to use in isolation of a cDNA or genomic clone. We describe a strategy to identify such fragments which uses an on-line photodiode array spectrophotometric analysis of tryptic fragment elution from an HPLC system to select peptides for amino acid sequence analysis. We applied this information to the identification and subsequent isolation of a cDNA corresponding to bovine placental lactogen from a bovine placental cDNA library which contains numerous closely related gene products.     

Harnessing homologous recombination in vitro to generate recombinant DNA via SLIC

We describe a new cloning method, sequence and ligation-independent cloning (SLIC), which allows the assembly of multiple DNA fragments in a single reaction using in vitro homologous recombination and single-strand annealing. SLIC mimics in vivo homologous recombination by relying on exonuclease-generated ssDNA overhangs in insert and vector fragments, and the assembly of these fragments by recombination in vitro. SLIC inserts can also be prepared by incomplete PCR (iPCR) or mixed PCR. SLIC allows efficient and reproducible assembly of recombinant DNA with as many as 5 and 10 fragments simultaneously. SLIC circumvents the sequence requirements of traditional methods and functions much more efficiently at very low DNA concentrations when combined with RecA to catalyze homologous recombination. This flexibility allows much greater versatility in the generation of recombinant DNA for the purposes of synthetic biology.     

Sequence-tagged microsatellite profiling (STMP): a rapid technique for developing SSR markers

We describe a technique, sequence-tagged microsatellite profiling (STMP), to rapidly generate large numbers of simple sequence repeat (SSR) markers from genomic or cDNA. This technique eliminates the need for library screening to identify SSR-containing clones and provides an approximately 25-fold increase in sequencing throughput compared to traditional methods. STMP generates short but characteristic nucleotide sequence tags for fragments that are present within a pool of SSR amplicons. These tags are then ligated together to form concatemers for cloning and sequencing. The analysis of thousands of tags gives rise to a representational profile of the abundance and frequency of SSRs within the DNA pool, from which low copy sequences can be identified. As each tag contains sufficient nucleotide sequence for primer design, their conversion into PCR primers allows the amplification of corresponding full-length fragments from the pool of SSR amplicons. These fragments permit the full characterisation of a SSR locus and provide flanking sequence for the development of a microsatellite marker. Alternatively, sequence tag primers can be used to directly amplify corresponding SSR loci from genomic DNA, thereby reducing the cost of developing a microsatellite marker to the synthesis of just one sequence-specific primer. We demonstrate the utility of STMP by the development of SSR markers in bread wheat.     

Sequence-tagged microsatellite profiling (STMP): a rapid technique for developing SSR markers

We describe a technique, sequence-tagged microsatellite profiling (STMP), to rapidly generate large numbers of simple sequence repeat (SSR) markers from genomic or cDNA. This technique eliminates the need for library screening to identify SSR-containing clones and provides an ~25-fold increase in sequencing throughput compared to traditional methods. STMP generates short but characteristic nucleotide sequence tags for fragments that are present within a pool of SSR amplicons. These tags are then ligated together to form concatemers for cloning and sequencing. The analysis of thousands of tags gives rise to a representational profile of the abundance and frequency of SSRs within the DNA pool, from which low copy sequences can be identified. As each tag contains sufficient nucleotide sequence for primer design, their conversion into PCR primers allows the amplification of corresponding full-length fragments from the pool of SSR amplicons. These fragments permit the full characterisation of a SSR locus and provide flanking sequence for the development of a microsatellite marker. Alternatively, sequence tag primers can be used to directly amplify corresponding SSR loci from genomic DNA, thereby reducing the cost of developing a microsatellite marker to the synthesis of just one sequence-specific primer. We demonstrate the utility of STMP by the development of SSR markers in bread wheat.     

Evidence that part of a centromeric DNA region induces pseudohyphal growth in a dimorphic yeast, Candida maltosa.

We observed that a YCp-type vector having the centromeric DNA (CEN) sequence previously isolated from the genome, but not a YRp-type vector lacking the CEN sequence, induced pseudohyphal growth in a dimorphic fungi, Candida maltosa, which had been shown to be closely related to Candida albicans by phylogenetic analysis. Deletion analysis of the CEN sequence revealed that the intact CEN sequence was not required for the induction, but part of it, having partial centromeric activity, was enough for the induction. By screening the gene library of this yeast for the sequences which induced pseudohyphal growth, we isolated three different DNA fragments which also had part of the centromere-like sequence. Partial centromeric activity of these fragments was confirmed by three criteria: low copy number and high stability of the plasmids carrying these fragments and rearrangement at high frequency of the plasmid DNA with one of these fragments plus the CEN sequence. Furthermore, when the GGTAGCG sequence commonly found in one copy in each of these four sequences was mutated in the CEN sequence by site-directed mutagenesis, both partial centromeric activity and pseudohyphal growth-inducing activity of the CEN sequence were lost. These results indicated that part of CEN region with partial centromeric activity induces pseudohyphal growth in C. maltosa. It is suggested that some cellular components which interact with the sequence containing GGTAGCG required for centromeric activity are involved in the regulation of the transition between yeast forms and pseudohyphal forms of the cells.     

应用限制性显示技术制备HCV cDNA诊断基因芯片的初步研究

制备丙型肝炎病毒 (HCV)检测芯片并进行验证、初步检测质量评价。采用限制性显示 (Restrictiondisplay ,RD)技术制备芯片探针 ,从载体pCV_J4L6S中切出HCV全长cDNA ,Sau3AⅠ酶消化 ,所得的限制性片段进行RD_PCR扩增 ,经聚丙烯酰胺电泳 (PAGE)结合银染法进行分离。切胶回收后作 3次PCR ,得到较纯净的HCVcDNA限制性片段。扩增后的产物克隆至pMD18_T载体进行快速鉴定。将筛选出的限制性片段打印在氨基修饰的玻片上制备成检测芯片进行杂交验证分析 ,对芯片检测进行优化、初步的质量评估。运用RD技术 ,得到 2 4个 2 0 0～ 80 0bp、大小均一的基因片段 ,序列分析表明 ,均属于HCV特异基因 ,可以作为诊断芯片探针 ;杂交、测序结果显示 ,芯片检测的敏感性、特异性、准确度、重复性、线性等指标均佳。利用RD技术制备基因芯片探针是一种快速、简便的实用方法 ;制备的诊断芯片可以用于检测HCVRNA ,具有敏感、检测结果较为可靠的优点。     

Characterization of a major DNA-binding domain in the herpes simplex virus type 1 DNA-binding protein (ICP8).

We have studied the major DNA-binding protein (ICP8) from herpes simplex virus type 1 to identify its DNA-binding site. Since we obtained our protein from a cell line carrying multiple chromosomally located copies of the ICP8 gene, we first analyzed this protein to assess its similarity to the corresponding viral protein. Our protein resembled the viral protein by molecular weight, response to antibody, preference for binding single-stranded DNA, and ability to lower the melting temperature of poly(dA-dT). To define the DNA-binding domain, we subjected the protein to limited trypsin digestion and separated the peptide products on a sodium dodecyl sulfate-polyacrylamide gel. These fragments were then transferred to a nitrocellulose membrane, renatured in situ, and tested for their ability to bind DNA. From this assay, we identified four fragments which both bound DNA and exhibited the expected binding preference for single-stranded DNA. The sequence of the smallest of these fragments was determined and corresponds to a polypeptide spanning residues 300 to 849 in the intact protein. This peptide contains several regions which may be important for DNA binding based on sequence similarities in single-stranded DNA-binding proteins from other herpesviruses and, in one case, on a conserved sequence found in more distant procaryotic and eucaryotic proteins.     

Random-breakage mapping, a rapid method for physically locating an internal sequence with respect to the ends of a DNA molecule.

We describe a method for determining the position of a cloned internal sequence with respect to the ends of a DNA molecule. The molecules are randomly broken at low frequency and the fragments are subjected to electrophoresis. Southern hybridization using the cloned DNA as a probe identifies only those fragments containing the sequence. The size distribution of these fragments is such that two threshold changes in intensity of signal are seen in the smear pattern below the unbroken molecules. The positions of the changes represent the distances from the sequence to each molecular end. The intensity changes arise because the natural ends of the molecules influence the fragment distribution obtained. From once-broken molecules, no fragments can arise that contain a given sequence and are shorter than the distance between that sequence and the nearest molecular end. We tested the method by using x-rays to induce breakage in yeast DNA. Genes of independently known position were mapped within whole chromosomes or Not I restriction fragments using Southern blots from gels of irradiated molecules. We present equations to predict fragment distribution as a function of break-frequency and position of the probed sequence.     

Detecting Protein Candidate Fragments Using a Structural Alphabet Profile Comparison Approach

Predicting accurate fragments from sequence has recently become a critical step for protein structure modeling, as protein fragment assembly techniques are presently among the most efficient approaches for de novo prediction. A key step in these approaches is, given the sequence of a protein to model, the identification of relevant fragments - candidate fragments - from a collection of the available 3D structures. These fragments can then be assembled to produce a model of the complete structure of the protein of interest. The search for candidate fragments is classically achieved by considering local sequence similarity using profile comparison, or threading approaches. In the present study, we introduce a new profile comparison approach that, instead of using amino acid profiles, is based on the use of predicted structural alphabet profiles, where structural alphabet profiles contain information related to the 3D local shapes associated with the sequences. We show that structural alphabet profile-profile comparison can be used efficiently to retrieve accurate structural fragments, and we introduce a fully new protocol for the detection of candidate fragments. It identifies fragments specific of each position of the sequence and of size varying between 6 and 27 amino-acids. We find it outperforms present state of the art approaches in terms (i) of the accuracy of the fragments identified, (ii) the rate of true positives identified, while having a high coverage score. We illustrate the relevance of the approach on complete target sets of the two previous Critical Assessment of Techniques for Protein Structure Prediction (CASP) rounds 9 and 10. A web server for the approach is freely available at http://bioserv.rpbs.univ-paris-diderot.fr/SAFrag.