Biomedical subjects

O Poch

Publications and source records attributed to O Poch.

At least 19 recordsLinked to original sources

PubMed2006

SPINE bioinformatics and data-management aspects of high-throughput structural biology.

SPINE (Structural Proteomics In Europe) was established in 2002 as an integrated research project to develop new methods and technologies for high-throughput structural biology. Development areas were broken down into workpackages and this article gives an overview of ongoing activity in the bioinformatics workpackage. Developments cover target selection, target registration, wet and dry laboratory data management and structure annotation as they pertain to high-throughput studies. Some individual projects and developments are discussed in detail, while those that are covered elsewhere in this issue are treated more briefly. In particular, this overview focuses on the infrastructure of the software that allows the experimentalist to move projects through different areas that are crucial to high-throughput studies, leading to the collation of large data sets which are managed and eventually archived and/or deposited.

Computational Biology↗

PubMed2006

MAGOS: multiple alignment and modelling server.

UNLABELLED: MAGOS is a web server allowing automated protein modelling coupled to the creation of a hierarchical and annotated multiple alignment of complete sequences. MAGOS is designed for an interactive approach of structural information within the framework of the evolutionary relevance of mined and predicted sequence information. AVAILABILITY: The web server is freely available at http://pig-pbil.ibcp.fr/magos.

Algorithms↗

PubMed2006

Head and neck squamous cell carcinoma transcriptome analysis by comprehensive validated differential display.

Head and neck squamous cell carcinoma (HNSCC) is common worldwide and is associated with a poor rate of survival. Identification of new markers and therapeutic targets, and understanding the complex transformation process, will require a comprehensive description of genome expression, that can only be achieved by combining different methodologies. We report here the HNSCC transcriptome that was determined by exhaustive differential display (DD) analysis coupled with validation by different methods on the same patient samples. The resulting 820 nonredundant sequences were analysed by high throughput bioinformatics analysis. Human proteins were identified for 73% (596) of the DD sequences. A large proportion (>50%) of the remaining unassigned sequences match ESTs (expressed sequence tags) from human tumours. For the functionally annotated proteins, there is significant enrichment for relevant biological processes, including cell motility, protein biosynthesis, stress and immune responses, cell death, cell cycle, cell proliferation and/or maintenance and transport. Three of the novel proteins (TMEM16A, PHLDB2 and ARHGAP21) were analysed further to show that they have the potential to be developed as therapeutic targets.

Amino Acid Sequence↗

PubMed2005

GOAnno: GO annotation based on multiple alignment.

UNLABELLED: GOAnno is a web tool that automatically annotates proteins according to the Gene Ontology (GO) using evolutionary information available in hierarchized multiple alignments. GO terms present in the aligned functional subfamily can be cross-validated and propagated to obtain highly reliable predicted GO annotation based on the GOAnno algorithm. AVAILABILITY: The web tool and a reduced version for local installation are freely available at http://igbmc.u-strasbg.fr/GOAnno/GOAnno.html SUPPLEMENTARY INFORMATION: The website supplies a detailed explanation and illustration of the algorithm at http://igbmc.u-strasbg.fr/GOAnno/GOAnnoHelp.html.

Algorithms↗

PubMed2004

DbW: automatic update of a functional family-specific multiple alignment.

MOTIVATION: Recent advances in gene sequencing have provided complete sequence information for a number of genomes and as a result the amount of data in the sequence databases is growing at an exponential rate. We introduce here a new program, DbW, to automate the update of a functional family-specific multiple alignment that tries to include relevant sequences. The program is based on the use of different sources of information: sequences and annotations in databases. RESULTS: The advantages of DbW are demonstrated using the 20 families of aminoacyl-tRNA synthetases, where DbW detects a maximum of homologous sequences in the Swiss-Prot and SPTREMBL databases. The global specificity of DbW in this test is 98.4% (1.6% of the sequences included in the alignment did not belong to the family according to their function), and the global sensitivity of DbW is estimated to be 95.2%. Thus, DbW provides a reliable basis for the many applications that rely on accurate multiple alignments, e.g. functional residue identification, 2D/3D structure prediction or homology modeling. AVAILABILITY: The DbW software is available for download at ftp://ftp-igbmc.u-strasbg.fr/pub/DbW/DbW.tar and online at http://titus.u-strasbg.fr/DbW CONTACT: prigent@igbmc.u-strasbg.fr.

Algorithms↗

PubMed2003

The 'PINIT' motif, of a newly identified conserved domain of the PIAS protein family, is essential for nuclear retention of PIAS3L.

PIAS proteins, cytokine-dependent STAT-associated repressors, exhibit intrinsic E3-type SUMO ligase activities and form a family of transcriptional modulators. Three conserved domains have been identified so far in this protein family, the SAP box, the MIZ-Zn finger/RING module and the acidic C-terminal domain, which are essential for protein interactions, DNA binding or SUMO ligase activity. We have identified a novel conserved domain of 180 residues in PIAS proteins and shown that its 'PINIT' motif as well as other conserved motifs (in the SAP box and in the RING domain) are independently involved in nuclear retention of PIAS3L, the long form of PIAS3, that we have characterized in mouse embryonic stem cells.

Active Transport, Cell Nucleus↗

PubMed2003

RASCAL: rapid scanning and correction of multiple sequence alignments.

MOTIVATION: Most multiple sequence alignment programs use heuristics that sometimes introduce errors into the alignment. The most commonly used methods to correct these errors use iterative techniques to maximize an objective function. We present here an alternative, knowledge-based approach that combines a number of recently developed methods into a two-step refinement process. The alignment is divided horizontally and vertically to form a 'lattice' in which well aligned regions can be differentiated. Alignment correction is then restricted to the less reliable regions, leading to a more reliable and efficient refinement strategy. RESULTS: The accuracy and reliability of RASCAL is demonstrated using: (i) alignments from the BAliBASE benchmark database, where significant improvements were often observed, with no deterioration of the existing high-quality regions, (ii) a large scale study involving 946 alignments from the ProDom protein domain database, where alignment quality was increased in 68% of the cases; and (iii) an automatic pipeline to obtain a high-quality alignment of 695 full-length nuclear receptor proteins, which took 11 min on a DEC Alpha 6100 computer AVAILABILITY: RASCAL is available at ftp://ftp-igbmc.u-strasbg.fr/pub/RASCAL. SUPPLEMENTARY INFORMATION: http://bioinfo-igbmc.u-strasbourg.fr/BioInfo/RASCAL/paper/rascal_supp.html

Algorithms↗

PubMed2001

Towards a reliable objective function for multiple sequence alignments.

Multiple sequence alignment is a fundamental tool in a number of different domains in modern molecular biology, including functional and evolutionary studies of a protein family. Multiple alignments also play an essential role in the new integrated systems for genome annotation and analysis. Thus, the development of new multiple alignment scores and statistics is essential, in the spirit of the work dedicated to the evaluation of pairwise sequence alignments for database searching techniques. We present here norMD, a new objective scoring function for multiple sequence alignments. NorMD combines the advantages of the column-scoring techniques with the sensitivity of methods incorporating residue similarity scores. In addition, norMD incorporates ab initio sequence information, such as the number, length and similarity of the sequences to be aligned. The sensitivity and reliability of the norMD objective function is demonstrated using structural alignments in the SCOP and BAliBASE databases. The norMD scores are then applied to the multiple alignments of the complete sequences (MACS) detected by BlastP with E-value<10, for a set of 734 hypothetical proteins encoded by the Vibrio cholerae genome. Unrelated or badly aligned sequences were automatically removed from the MACS, leaving a high-quality multiple alignment which could be reliably exploited in a subsequent functional and/or structural annotation process. After removal of unreliable sequences, 176 (24 %) of the alignments contained at least one sequence with a functional annotation. 103 of these new matches were supported by significant hits to the Interpro domain and motif database.

Amino Acid Motifs↗

PubMed2001

Multiple alignment of complete sequences (MACS) in the post-genomic era.

Multiple alignment, since its introduction in the early seventies, has become a cornerstone of modern molecular biology. It has traditionally been used to deduce structure / function by homology, to detect conserved motifs and in phylogenetic studies. There has recently been some renewed interest in the development of multiple alignment techniques, with current opinion moving away from a single all-encompassing algorithm to iterative and / or co-operative strategies. The exploitation of multiple alignments in genome annotation projects represents a qualitative leap in the functional analysis process, opening the way to the study of the co-evolution of validated sets of proteins and to reliable phylogenomic analysis. However, the alignment of the highly complex proteins detected by today's advanced database search methods is a daunting task. In addition, with the explosion of the sequence databases and with the establishment of numerous specialized biological databases, multiple alignment programs must evolve if they are to successfully rise to the new challenges of the post-genomic era. The way forward is clearly an integrated system bringing together sequence data, knowledge-based systems and prediction methods with their inherent unreliability. The incorporation of such heterogeneous, often non-consistent, data will require major changes to the fundamental alignment algorithms used to date. Such an integrated multiple alignment system will provide an ideal workbench for the validation, propagation and presentation of this information in a format that is concise, clear and intuitive.

Amino Acid Sequence↗

PubMed2001

BAliBASE (Benchmark Alignment dataBASE): enhancements for repeats, transmembrane sequences and circular permutations.

BAliBASE is specifically designed to serve as an evaluation resource to address all the problems encountered when aligning complete sequences. The database contains high quality, manually constructed multiple sequence alignments together with detailed annotations. The alignments are all based on three-dimensional structural superpositions, with the exception of the transmembrane sequences. The first release provided sets of reference alignments dealing with the problems of high variability, unequal repartition and large N/C-terminal extensions and internal insertions. Here we describe version 2.0 of the database, which incorporates three new reference sets of alignments containing structural repeats, trans-membrane sequences and circular permutations to evaluate the accuracy of detection/prediction and alignment of these complex sequences. BAliBASE can be viewed at the web site http://www-igbmc.u-strasbg. fr/BioInfo/BAliBASE2/index.html or can be downloaded from ftp://ftp-igbmc.u-strasbg.fr/pub/BAliBASE2 /.

Algorithms↗

PubMed2001

The archaeal homolog of the Imp4 protein, a eukaryotic U3 snoRNP component.

Homologs of the Imp4 protein, a component specific to the eukaryotic U3 snoRNP complex, have been found in all archaeal genomes. The archaeal and eukaryotic Imp4 proteins that are related to four other protein families, the Imp4-like, the SSF1 homologs and two sets of hypothetical proteins, are characterized by the Imp4 signature pattern. These findings, together with the presence of other snoRNPs homologs in Archaea, provide evidence for similar RNA processing and folding in Eukarya and Archaea.

Amino Acid Sequence↗

PubMed2001

Secator: a program for inferring protein subfamilies from phylogenetic trees.

With the huge increase of protein data, an important problem is to estimate, within a large protein family, the number of sensible subsets for subsequent in-depth structural, functional, and evolutionary analyses. To tackle this problem, we developed a new program, Secator, which implements the principle of an ascending hierarchical method using a distance matrix based on a multiple alignment of protein sequences. Dissimilarity values assigned to the nodes of a deduced phylogenetic tree are partitioned by a new stopping rule introduced to automatically determine the significant dissimilarity values. The quality of the clusters obtained by Secator is verified by a separate Jackknife study. The method is demonstrated on 24 large protein families covering a wide spectrum of structural and sequence conservation and its usefulness and accuracy with real biological data is illustrated on two well-studied protein families (the Sm proteins and the nuclear receptors).

Animals↗

PubMed2001

Genome evolution at the genus level: comparison of three complete genomes of hyperthermophilic archaea.

We have compared three complete genomes of closely related hyperthermophilic species of Archaea belonging to the Pyrococcus genus: Pyrococcus abyssi, Pyrococcus horikoshii, and Pyrococcus furiosus. At the genomic level, the comparison reveals a differential conservation among four regions of the Pyrococcus chromosomes correlated with the location of genetic elements mediating DNA reorganization. This discloses the relative contribution of the major mechanisms that promote genomic plasticity in these Archaea, namely rearrangements linked to the replication terminus, insertion sequence-mediated recombinations, and DNA integration within tRNA genes. The combination of these mechanisms leads to a high level of genomic plasticity in these hyperthermophilic Archaea, at least comparable to the plasticity observed between closely related bacteria. At the proteomic level, the comparison of the three Pyrococcus species sheds light on specific selection pressures acting both on their coding capacities and evolutionary rates. Indeed, thanks to two independent methods, the "reciprocal best hits" approach and a new distance ratio analysis, we detect the false orthology relationships within the Pyrococcus lineage. This reveals a high amount of differential gains and losses of genes since the divergence of the three closely related species. The resulting polymorphism is probably linked to an adaptation of these free-living organisms to differential environmental constraints. As a corollary, we delineate the set of orthologous genes shared by the three species, that is, the genes that may characterize the Pyrococcus genus. In this conserved core, the amino acid substitution rate is equal between P. abyssi and P. horikoshii for most of their shared proteins, even for fast-evolving ones. In contrast, strong discrepancies exist among the substitution rates observed in P. furiosus relative to the two other species, which is in disagreement with the molecular clock hypothesis.

Archaeal Proteins↗

PubMed2000

DbClustal: rapid and reliable global multiple alignments of protein sequences detected by database searches.

DbClustal addresses the important problem of the automatic multiple alignment of the top scoring full-length sequences detected by a database homology search. By combining the advantages of both local and global alignment algorithms into a single system, DbClustal is able to provide accurate global alignments of highly divergent, complex sequence sets. Local alignment information is incorporated into a ClustalW global alignment in the form of a list of anchor points between pairs of sequences. The method is demonstrated using anchors supplied by the Blast post-processing program, Ballast. The rapidity and reliability of DbClustal have been demonstrated using the recently annotated Pyrococcus abyssi proteome where the number of alignments with totally misaligned sequences was reduced from 20% to <2%. A web site has been implemented proposing BlastP database searches with automatic alignment of the top hits by DbClustal.

Algorithms↗

PubMed2000

Ballast: blast post-processing based on locally conserved segments.

MOTIVATION: Blast programs are very efficient in finding relatively strong similarities but some very distantly related sequences are given a very high Expect value and are ranked very low in Blast results. We have developed Ballast, a program to predict local maximum segments (LMSs-i.e. sequence segments conserved relatively to their flanking regions) from a single Blast database search and to highlight these divergent homologues. The TBlastN database searches can also be processed with the help of information from a joint BlastP search. RESULTS: We have applied the Ballast algorithm to BlastP searches performed with sequences belonging to well described dispersed families (aminoacyl-tRNA synthetases; helicases) against the SwissProt 38 database. We show that Ballast is able to build an appropriate conservation profile and that LMSs are predicted that are consistent with the signatures and motifs described in the literature. Furthermore, by comparing the Blast, PsiBlast and Ballast results obtained on a well defined database of structurally related sequences, we show that the LMSs provide a scoring scheme that can concentrate on top ranking distant homologues better than Blast. Using the graphical user interface available on the Web, specific LMSs may be selected to detect divergent homologues sharing the corresponding properties with the query sequence without requiring any additional database search.

Algorithms↗

PubMed2000

The human TFIID components TAF(II)135 and TAF(II)20 and the yeast SAGA components ADA1 and TAF(II)68 heterodimerize to form histone-like pairs.

It has been previously proposed that the transcription complexes TFIID and SAGA comprise a histone octamer-like substructure formed from a heterotetramer of H4-like human hTAF(II)80 (or its Drosophila melanogaster dTAF(II)60 and yeast [Saccharomyces cerevisiae] yTAF(II)60 homologues) and H3-like hTAF(II)31 (dTAF(II)40 and yTAF(II)17) along with two homodimers of H2B-like hTAF(II)20 (dTAF(II)30alpha and yTAF(II)61/68). However, it has not been formally shown that hTAF(II)20 heterodimerizes via its histone fold. By two-hybrid analysis with yeast and biochemical characterization of complexes formed by coexpression in Escherichia coli, we showed that hTAF(II)20 does not homodimerize but heterodimerizes with hTAF(II)135. Heterodimerization requires the alpha2 and alpha3 helices of the hTAF(II)20 histone fold and is abolished by mutations in the hydrophobic face of the hTAF(II)20 alpha2 helix. Interaction with hTAF(II)20 requires a domain of hTAF(II)135 which shows sequence homology to H2A. This domain also shows homology to the yeast SAGA component ADA1, and we show that yADA1 heterodimerizes with the histone fold region of yTAF(II)61/68, the yeast hTAF(II)20 homologue. These results are indicative of a histone fold type of interaction between hTAF(II)20-hTAF(II)135 and yTAF(II)68-yADA1, which therefore constitute novel histone-like pairs in the TFIID and SAGA complexes.

Adaptor Proteins, Signal Transducing↗

PubMed1999

A comprehensive comparison of multiple sequence alignment programs.

In recent years improvements to existing programs and the introduction of new iterative algorithms have changed the state-of-the-art in protein sequence alignment. This paper presents the first systematic study of the most commonly used alignment programs using BAliBASE benchmark alignments as test cases. Even below the 'twilight zone' at 10-20% residue identity, the best programs were capable of correctly aligning on average 47% of the residues. We show that iterative algorithms often offer improved alignment accuracy though at the expense of computation time. A notable exception was the effect of introducing a single divergent sequence into a set of closely related sequences, causing the iteration to diverge away from the best alignment. Global alignment programs generally performed better than local methods, except in the presence of large N/C-terminal extensions and internal insertions. In these cases, a local algorithm was more successful in identifying the most conserved motifs. This study enables us to propose appropriate alignment strategies, depending on the nature of a particular set of sequences. The employment of more than one program based on different alignment techniques should significantly improve the quality of automatic protein sequence alignment methods. The results also indicate guidelines for improvement of alignment algorithms.

Algorithms↗

PubMed1999

The TBP-like factor: an alternative transcription factor in metazoa?

Protein sequence analysis has revealed a family of TATA-binding-protein (TBP)-like factors (TLFs) in metazoan organisms. Modelling of the three-dimensional structure of these TLFs suggests that they form an asymmetric saddle-like structure and that, unlike TBP, TLFs might bind to DNA sequences other than classical TATA boxes. Thus, the existence of TLFs presents a challenge to the doctrine that TBP is a universal regulator of transcription in metazoans.

Amino Acid Sequence↗