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Biomedical subjects

Christoph Gille

Publications and source records attributed to Christoph Gille.

13 recordsLinked to original sources

Plasmodia express two threonine-peptidase complexes during asexual development.

Threonine-peptidases of the T1-family are multi-subunit complexes with broad substrate specificity. In eukaryotes, at least 14 genes encode subunits of the prototypic T1 threonine-peptidase, the proteasome. The proteasome determines the turnover of most proteins and thereby plays a fundamental role in diverse processes such as protein quality control, signal transduction, and cell cycle regulation. While eukaryotes and archaea possess a proteasome, bacteria generally express a second member of the T1-family, the proteasomal predecessor ClpQ/hslV that has a similar structure but is encoded by only one gene. The plasmodial genome is an exception because it encodes proteasomal subunits as well as a ClpQ/hslV-orthologe (Plasmodium falciparum-hslV; PfhslV). Structure, expression, and function of both types of peptidase-complex in P. falciparum are presently unknown. Our aim was to analyze both the coding sequences and derived proteins of both peptidase-complexes because highly specific and potent inhibitors can be designed against this class of enzymes. The proteasome was found expressed throughout the cell cycle, whereas PfhslV was detectable in schizonts and merozoites only. Treatment of P. falciparum with the threonine-peptidase inhibitor epoxomicin blocked two of three catalytically active proteasome subunits. This led to the accumulation of ubiquitinated proteins and, finally, to parasite death. In conclusion, we provide the first functional analysis of plasmodial threonine-peptidase-complexes and identify a lead compound for the development of a novel class of antimalarial drugs.

Amino Acid Sequence↗

HotSwap for bioinformatics: a STRAP tutorial.

BACKGROUND: Bioinformatics applications are now routinely used to analyze large amounts of data. Application development often requires many cycles of optimization, compiling, and testing. Repeatedly loading large datasets can significantly slow down the development process. We have incorporated HotSwap functionality into the protein workbench STRAP, allowing developers to create plugins using the Java HotSwap technique. RESULTS: Users can load multiple protein sequences or structures into the main STRAP user interface, and simultaneously develop plugins using an editor of their choice such as Emacs. Saving changes to the Java file causes STRAP to recompile the plugin and automatically update its user interface without requiring recompilation of STRAP or reloading of protein data. This article presents a tutorial on how to develop HotSwap plugins. STRAP is available at http://strapjava.de and http://www.charite.de/bioinf/strap. CONCLUSION: HotSwap is a useful and time-saving technique for bioinformatics developers. HotSwap can be used to efficiently develop bioinformatics applications that require loading large amounts of data into memory.

Algorithms↗

A fibrillin-1-fragment containing the elastin-binding-protein GxxPG consensus sequence upregulates matrix metalloproteinase-1: biochemical and computational analysis.

Mutations in the gene for fibrillin-1 cause Marfan syndrome (MFS), a common hereditary disorder of connective tissue. Recent findings suggest that proteolysis, increased matrix metalloproteinase activity, and fragmentation of fibrillin-rich microfibrils in tissues of persons with MFS contribute to the complex pathogenesis of this disorder. In this study we show that a fibrillin-1 fragment containing a EGFEPG sequence that conforms to a putative GxxPG elastin-binding protein (EBP) consensus sequence upregulates the expression and production of matrix metalloproteinase (MMP)-1 by up to ninefold in a cell culture system. A mutation of the GxxPG consensus sequence site abrogated the effects. This is the first demonstration of such an effect for ligands other than elastin fragments. Molecular dynamics analysis of oligopeptides with the wildtype and mutant sequence support our biochemical results by predicting significant alterations of structural characteristics such as the potential for forming a type VIII beta-turn that are thought to be important for binding to the EBP. These results suggest that fibrillin-1 fragments may regulate MMP-1 expression, and that the dysregulation of MMPs related to fragmentation of fibrillin might contribute to the development of MFS. Our Gene Ontology (GO) analysis of the human proteome shows that proteins with multiple GxxPG motifs are highly enriched for GO terms related to the extracellular matrix. Matrix proteins with multiple GxxPG sites include fibrillin-1, -2, and -3, elastin, fibronectin, laminin, and several tenascins and collagens. Some of these proteins have been associated with disorders involving alterations in MMP regulation, and the results of the present study suggest a potential mechanism for these observations.

Amino Acid Sequence↗

Structural interpretation of mutations and SNPs using STRAP-NT.

Visualization of residue positions in protein alignments and mapping onto suitable structural models is an important first step in the interpretation of mutations or polymorphisms in terms of protein function, interaction, and thermodynamic stability. Selecting and highlighting large numbers of residue positions in a protein structure can be time-consuming and tedious with currently available software. Previously, a series of tasks and analyses had to be performed one-by-one to map mutations onto 3D protein structures; STRAP-NT is an extension of STRAP that automates these tasks so that users can quickly and conveniently map mutations onto 3D protein structures. When the structure of the protein of interest is not yet available, a related protein can frequently be found in the structure databases. In this case the alignment of both proteins becomes the crucial part of the analysis. Therefore we embedded these program modules into the Java-based multiple sequence alignment program STRAP-NT. STRAP-NT can simultaneously map an arbitrary number of mutations denoted using either the nucleotide or amino acid sequence. When the designations of the mutations refer to genomic sites, STRAP-NT translates them into the corresponding amino acid positions, taking intron-exon boundaries into account. STRAP-NT tightly integrates a number of current protein structure viewers (currently PYMOL, RASMOL, JMOL, and VMD) with which mutations and polymorphisms can be directly displayed on the 3D protein structure model. STRAP-NT is available at the PDB site and at http://www.charite.de/bioinf/strap/ or http://strapjava.de.

DNA Mutational Analysis↗

Combining bioinformatics resources for the structural modelling of eukaryotic metabolic networks.

The architecture of the cellular metabolic network is almost completely available from several databases. This has paved the way for computational analyses. Whereas kinetic modelling is still restrained to small metabolic sub-systems for which enzyme-kinetic details are known, so-called structural modelling techniques can be applied to complete metabolic networks even if the kinetics and regulation of the underlying enzymes is still unknown. Structural modelling requires detailed information on the presence of metabolic enzymes in a specific cell type of interest and the thermodynamics of the reactions, determining their direction under cellular conditions. If compartments are distinguished the sub-cellular compartmentation of reactions and enzymes and the membrane transporters exchanging metabolites between cellular compartments must be included. All this information cannot be taken from a single data base but has to be compiled from various Bioinformatics resources. Here we present an approach towards the organization of Bioinformatics data that enables the flux-balance analysis of comprehensive compartmentalized metabolic networks of eukaryotic cells with special focus on human hepatocytes.

Aspartate Aminotransferases↗

Accelerating screening of 3D protein data with a graph theoretical approach.

MOTIVATION: The Dictionary of Interfaces in Proteins (DIP) is a database collecting the 3D structure of interacting parts of proteins that are called patches. It serves as a repository, in which patches similar to given query patches can be found. The computation of the similarity of two patches is time consuming and traversing the entire DIP requires some hours. In this work we address the question of how the patches similar to a given query can be identified by scanning only a small part of DIP. The answer to this question requires the investigation of the distribution of the similarity of patches. RESULTS: The score values describing the similarity of two patches can roughly be divided into three ranges that correspond to different levels of spatial similarity. Interestingly, the two iso-score lines separating the three classes can be determined by two different approaches. Applying a concept of the theory of random graphs reveals significant structural properties of the data in DIP. These can be used to accelerate scanning the DIP for patches similar to a given query. Searches for very similar patches could be accelerated by a factor of more than 25. Patches with a medium similarity could be found 10 times faster than by brute-force search.

Algorithms↗

KISS for STRAP: user extensions for a protein alignment editor.

SUMMARY: The Structural Alignment Program STRAP is a comfortable comprehensive editor and analyzing tool for protein alignments. A wide range of functions related to protein sequences and protein structures are accessible with an intuitive graphical interface. Recent features include mapping of mutations and polymorphisms onto structures and production of high quality figures for publication. Here we address the general problem of multi-purpose program packages to keep up with the rapid development of bioinformatical methods and the demand for specific program functions. STRAP was remade implementing a novel design which aims at Keeping Interfaces in STRAP Simple (KISS). KISS renders STRAP extendable to bio-scientists as well as to bio-informaticians. Scientists with basic computer skills are capable of implementing statistical methods or embedding existing bioinformatical tools in STRAP themselves. For bio-informaticians STRAP may serve as an environment for rapid prototyping and testing of complex algorithms such as automatic alignment algorithms or phylogenetic methods. Further, STRAP can be applied as an interactive web applet to present data related to a particular protein family and as a teaching tool. REQUIREMENTS: JAVA-1.4 or higher. AVAILABILITY: http://www.charite.de/bioinf/strap/

Computer Graphics↗

Online tool for the discrimination of equi-distributions.

BACKGROUND: For many applications one wishes to decide whether a certain set of numbers originates from an equiprobability distribution or whether they are unequally distributed. Distributions of relative frequencies may deviate significantly from the corresponding probability distributions due to finite sample effects. Hence, it is not trivial to discriminate between an equiprobability distribution and non-equally distributed probabilities when knowing only frequencies. RESULTS: Based on analytical results we provide a software tool which allows to decide whether data correspond to an equiprobability distribution. The tool is available at http://bioinf.charite.de/equifreq/. CONCLUSIONS: Its application is demonstrated for the distribution of point mutations in coding genes.

Amino Acid Sequence↗

Inverse sequence similarity of proteins does not imply structural similarity.

There is a debate on the folding of proteins with inverted sequences. Theoretical approaches and experiments give contradictory results. Many proteins in the Protein Data Bank (PDB) show conspicuous inverse sequence similarity (ISS) to each other. Here we analyze whether this ISS is related to structural similarity. For the first time, we performed a large scale three-dimensional (3-D) superposition of corresponding Calpha atoms of forwardly and inversely aligned proteins and tested the degree of secondary structure identity between them. Comparing proteins of less than 50% pairwise sequence identity, only 0.5% of the inversely aligned pairs had similar folds (99 out of 19073), whereas about 9% of forwardly aligned proteins in the same score and length range show similar 3-D structures (1731 out of 19248). This observation strongly supports the view that the inversion of sequences in almost all cases leads to a different folding property of the protein. Inverted sequences are thus suitable as protein-like sequences for control purposes without relations to existing proteins.

Algorithms↗

A comprehensive view on proteasomal sequences: implications for the evolution of the proteasome.

Proteasomes are large multimeric self-compartmentizing proteases, which play a crucial role in the clearance of misfolded proteins, breakdown of regulatory proteins, processing of proteins by specific partial proteolysis, cell cycle control as well as preparation of peptides for immune presentation. Two main types can be distinguished by their different tertiary structure: the 20S proteasome and the proteasome-like heat shock protein encoded by heat shock locus V, hslV. Usually, each biological kingdom is characterized by its specific type of proteasome. The 20S proteasomes occur in eukarya and archaea whereas hslV protease is prevalent in bacteria. To verify this rule we applied a genome-wide sequence search to identify proteasomal sequences in data of finished and yet unfinished genome projects. We found several exceptions to this paradigm: (1) Protista: in addition to the 20S proteasome, Leishmania, Trypanosoma and Plasmodium contained hslV, which may have been acquired from an alpha-proteobacterial progenitor of mitochondria. (2) Bacteria: for Magnetospirillum magnetotacticum and Enterococcus faecium we found that each contained two distinct hslVs due to gene duplication or horizontal transfer. Including unassembled data into the analyses we confirmed that a number of bacterial genomes do not contain any proteasomal sequence due to gene loss. (3) High G+C Gram-positives: we confirmed that high G+C Gram-positives possess 20S proteasomes rather than hslV proteases. The core of the 20S proteasome consists of two distinct main types of homologous monomers, alpha and beta, which differentiated into seven subtypes by further gene duplications. By looking at the genome of the intracellular pathogen Encephalitozoon cuniculi we were able to show that differentiation of beta-type subunits into different subtypes occurred earlier than that of alpha-subunits. Additionally, our search strategy had an important methodological consequence: a comprehensive sequence search for a particular protein should also include the raw sequence data when possible because proteins might be missed in the completed assembled genome. The structure-based multiple proteasomal alignment of 433 sequences from 143 organisms can be downloaded from the URL dagger and will be updated regularly.

Amino Acid Sequence↗

Novel mutations in sarcomeric protein genes in dilated cardiomyopathy.

Mutations in sarcomeric protein genes have been reported to cause dilated cardiomyopathy (DCM). In order to detect novel mutations we screened the sarcomeric protein genes beta-myosin heavy chain (MYH7), myosin-binding protein C (MYBPC3), troponin T (TNNT2), and alpha-tropomyosin (TPM1) in 46 young patients with DCM. Mutation screening was done using single-strand conformation polymorphism (SSCP) analysis and DNA sequencing. The mutations in MYH7 were projected onto the protein data bank-structure (pdb) of myosin of striated muscle. In MYH7 two mutations (Ala223Thr and Ser642Leu) were found in two patients. Ser642Leu is part of the actin-myosin interface. Ala223Thr affects a buried residue near the ATP binding site. In MYBPC3 we found one missense mutation (Asn948Thr) in a male patient. None of the mutations were found in 88 healthy controls and in 136 patients with hypertrophic cardiomyopathy (HCM). Thus mutations in HCM causing genes are not rare in DCM and have potential for functional relevance.

Adult↗

Oligodb--interactive design of oligo DNA for transcription profiling of human genes.

MOTIVATION: The increasing use of customized oligo-DNA-microarrays has created a demand for convenient design of oligo nucleotides. The oligo-nucleotides have to serve as specific templates in the hybridization reaction. RESULTS: We have devised a web-based system for interactive design of suitable oligos for transcription profiling experiments with user-defined parameters. Oligodb is based on predicted human gene transcripts from the ENSEMBL project. The web interface allows the user to retrieve oligos for human transcripts in a flexible manner. Criteria for selecting the oligos are low similarity to all other known human genes, the absence of stable secondary structures, the length of the oligo, and the absence of low complexity regions. Furthermore, the user may select oligos corresponding to the desired position in the 5'-3' direction of the transcript, and based on the melting temperature. All data and results are tightly web-linked to the corresponding data entries of ENSEMBL project.

Algorithms↗