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Extent of modifications in human proteome samples and their effect on dynamic range of analysis in shotgun proteomics.

The complexity of the human proteome, already enormous at the organism level, increases further in the course of the proteome analysis due to in vitro sample evolution. Most of in vitro alterations can also occur in vivo as post-translational modifications. These two types of modifications can only be distinguished a posteriori but not in the process of analysis, thus rendering necessary the analysis of every molecule in the sample. With the new software tool ModifiComb applied to MS/MS data, the extent of modifications was measured in tryptic mixtures representing the full proteome of human cells. The estimated level of 8-12 modified peptides per each unmodified tryptic peptide present at >or=1% level is approaching one modification per amino acid on average. This is a higher modification rate than was previously thought, posing an additional challenge to analytical techniques. The solution to the problem is seen in improving sample preparation routines, introducing dynamic range-adjusted thresholds for database searches, using more specific MS/MS analysis using high mass accuracy and complementary fragmentation techniques, and revealing peptide families with identification of additional proteins only by unfamiliar peptides. Extensive protein separation prior to analysis reduces the requirements on speed and dynamic range of a tandem mass spectrometer and can be a viable alternative to the shotgun approach.

Amino Acid Sequence↗

ZoomQuant: an application for the quantitation of stable isotope labeled peptides.

The main goal of comparative proteomics is the quantitation of the differences in abundance of many proteins between two different biological samples in a single experiment. By differentially labeling the peptides from the two samples and combining them in a single analysis, relative ratios of protein abundance can be accurately determined. Protease catalyzed (18)O exchange is a simple method to differentially label peptides, but the lack of robust software tools to analyze the data from mass spectra of (18)O labeled peptides generated by common ion trap mass spectrometers has been a limitation. ZoomQuant is a stand-alone computational tool that analyzes the mass spectra of (18)O labeled peptides from ion trap instruments and determines relative abundance ratios between two samples. Starting with a filtered list of candidate peptides that have been successfully identified by Sequest, ZoomQuant analyzes the isotopic forms of the peptides using high-resolution zoom scan spectrum data. The theoretical isotope distribution is determined from the peptide sequence and is used to deconvolute the peak areas associated with the unlabeled, partially labeled, and fully labeled species. The ratio between the labeled and unlabeled peptides is then calculated using several different methods. ZoomQuant's graphical user interface allows the user to view and adjust the parameters for peak calling and quantitation and select which peptides should contribute to the overall abundance ratio calculation. Finally, ZoomQuant generates a summary report of the relative abundance of the peptides identified in the two samples.

Animals↗

Rose: generating sequence families.

MOTIVATION: We present a new probabilistic model of the evolution of RNA-, DNA-, or protein-like sequences and a software tool, Rose, that implements this model. Guided by an evolutionary tree, a family of related sequences is created from a common ancestor sequence by insertion, deletion and substitution of characters. During this artificial evolutionary process, the 'true' history is logged and the 'correct' multiple sequence alignment is created simultaneously. The model also allows for varying rates of mutation within the sequences, making it possible to establish so-called sequence motifs. RESULTS: The data created by Rose are suitable for the evaluation of methods in multiple sequence alignment computation and the prediction of phylogenetic relationships. It can also be useful when teaching courses in or developing models of sequence evolution and in the study of evolutionary processes. AVAILABILITY: Rose is available on the Bielefeld Bioinformatics WebServer under the following URL: http://bibiserv.TechFak.Uni-Bielefeld.DE/rose/ The source code is available upon request. CONTACT: folker@TechFak.Uni-Bielefeld.DE

Algorithms↗

BioBuilder as a database development and functional annotation platform for proteins.

BACKGROUND: The explosion in biological information creates the need for databases that are easy to develop, easy to maintain and can be easily manipulated by annotators who are most likely to be biologists. However, deployment of scalable and extensible databases is not an easy task and generally requires substantial expertise in database development. RESULTS: BioBuilder is a Zope-based software tool that was developed to facilitate intuitive creation of protein databases. Protein data can be entered and annotated through web forms along with the flexibility to add customized annotation features to protein entries. A built-in review system permits a global team of scientists to coordinate their annotation efforts. We have already used BioBuilder to develop Human Protein Reference Database http://www.hprd.org, a comprehensive annotated repository of the human proteome. The data can be exported in the extensible markup language (XML) format, which is rapidly becoming as the standard format for data exchange. CONCLUSIONS: As the proteomic data for several organisms begins to accumulate, BioBuilder will prove to be an invaluable platform for functional annotation and development of customizable protein centric databases. BioBuilder is open source and is available under the terms of LGPL.

Computational Biology↗

Bioartificial liver process monitoring and control systems with integrated systems capability.

Monitoring and control of a bioartificial liver (BAL) support system have the potential to allow for maximization of device bioactivity and protection of both patient and device from untoward consequences of a complex hemoperfused fluidic process, such as coagulation, leakage, or decreased metabolic output. In this work, an integrated embedded systems controller and associated experimental platform were developed to allow for simultaneous monitoring and control of the physical environment of the BAL support system to ensure optimal and sustained hepatic metabolic function and to allow for simplified recording of experimental data. The user interface and core embedded system kernel were developed with rapid prototyping software tools and allowed for operation of easily modified user interface panels. BAL environment monitoring consisted of real-time recording of ambient and reactor temperatures, reactor inlet pressure, the presence of bubbles in the prereactor inlet tubing, and aqueous oxygen tension. Environmental parameters under direct real-time control included reactor inlet flow rate, ambient temperature, and adaptive control of flow rate in response to changes in either inlet pressure or outlet oxygen tension. Use of embedded system integration techniques will facilitate subsequent BAL studies that are dependent on scale-up of reactor size and number, fluidic complexity, and the degree of parallelism such as large animal studies and, ultimately, human clinical studies. In addition, further studies of the effects of flow rate, shear, oxygenation and metabolic substrate on real-time cellular respiration can be pursued with the use of real-time ruthenium oxymetry, as described in this article.

Animals↗

Graph-based analysis and visualization of experimental results with ONDEX.

MOTIVATION: Assembling the relevant information needed to interpret the output from high-throughput, genome scale, experiments such as gene expression microarrays is challenging. Analysis reveals genes that show statistically significant changes in expression levels, but more information is needed to determine their biological relevance. The challenge is to bring these genes together with biological information distributed across hundreds of databases or buried in the scientific literature (millions of articles). Software tools are needed to automate this task which at present is labor-intensive and requires considerable informatics and biological expertise. RESULTS: This article describes ONDEX and how it can be applied to the task of interpreting gene expression results. ONDEX is a database system that combines the features of semantic database integration and text mining with methods for graph-based analysis. An overview of the ONDEX system is presented, concentrating on recently developed features for graph-based analysis and visualization. A case study is used to show how ONDEX can help to identify causal relationships between stress response genes and metabolic pathways from gene expression data. ONDEX also discovered functional annotations for most of the genes that emerged as significant in the microarray experiment, but were previously of unknown function.

Algorithms↗

The symbolic atlas of the brain: handling non-visual information associated with neuroanatomy.

The Symbolic Atlas of the brain is a novel software tool which enables the user to store and access non-visual information associated with the brain anatomy. The atlas is potentially capable of storing any information about neuroanatomical objects. The user can construct a number of atlases, each containing a different kind of information related to functionality, pathology, symptoms and other facts. The Prolog database that underpins the storage of knowledge frames provides scope for nearly unconstrained usage and manipulation of the stored data, including reasoning with and about data and complex querying. The access to the stored information is provided in an intuitive way, through a simple 'click' on an anatomical structure either in a two- or three-dimensional atlas, or on an outline of a structure superimposed on a real image slice. A pilot educational and clinical use of the atlas indicates its great potential, especially in the are of education.

Anatomy, Artistic↗

QUAID: a questionnaire evaluation aid for survey methodologists.

QUAID (question-understanding aid) is a software tool that assists survey methodologists, social scientists, and designers of questionnaires in improving the wording, syntax, and semantics of questions. The tool identifies potential problems that respondents might have in comprehending the meaning of questions on questionnaires. These problems can be scrutinized by researchers when they revise questions to improve question comprehension and, thereby, enhance the reliability and validity of answers. QUAID was designed to identify nine classes of problems, but only five of these problems are addressed in this article: unfamiliar technical term, vague or imprecise relative term, vague or ambiguous noun phrase, complex syntax, and working memory overload. We compared the output of QUAID with ratings of language experts who evaluated a corpus of questions on the five classes of problems. The corpus consisted of 505 questions on 11 surveys developed by the U.S. Census Bureau. Analyses of hit rates, false alarm rates, d' scores, recall scores, and precision scores revealed that QUAID was able to identify these five problems with questions, although improvements in QUAID's performance are anticipated in future research and development.

Cognition↗

Computer-based anesthesiology paging system.

UNLABELLED: For more than a century, Mayo Clinic has used various communication strategies to optimize the efficiency of physicians. Anesthesiology has used colored wooden tabs, colored lights, and, most recently, a distributed video paging system (VPS) that was near the end of its useful life. A computer-based anesthesiology paging system (CAPS) was developed to replace the VPS. The CAPS uses a hands-off paradigm with ubiquitous displays to inform the practice where personnel are needed. The system consists of a dedicated Ethernet network connecting redundant central servers, terminal servers, programmable keypads, and light-emitting diode displays. Commercially available hardware and software tools minimized development and maintenance costs. The CAPS was installed in >200 anesthetizing and support locations. Downtime for the CAPS averaged 0.144 min/day, as compared with 24.2 min/day for the VPS. During installation, neither system was available and the department used beepers for communications. With a beeper, the median response time of an anesthesiologist to a page from a beeper was 2.78 min, and with the CAPS 1.57 min; this difference was statistically significant (P = 0.021, t(67) = 2.36). We conclude that the CAPS is a reliable and efficient paging system that may contribute to the efficiency of the practice. IMPLICATIONS: Mayo Clinic installed a computer-based anesthesiology paging system (CAPS) to inform operating suite personnel when assistance is needed in procedure and recovery areas. The CAPS is more reliable than the system it replaced. Anesthesiologists arrive at a patient's bedside faster when they are paged with the CAPS than with a beeper.

Anesthesiology↗

A visual environment for the manipulation and integration of JAVA beans.

MOTIVATION: Visual programming has the potential to allow non-programmers to redesign and rebuild applications to suit their individual needs. We have built such a visual programming environment, which allows non-programmers to interrogate and combine software components graphically to form new applications. As the needs of the biological community grow, so too will the need for more powerful and easy to use software tools. Intelligent visual programming environments will allow users to design and develop applications easily, so that they can concentrate on the application they wish to build rather than how it is to be done. RESULTS: The environment can read in JAVA Beans, and present relevant information about the beans to the user. The user can then graphically specify how they would like information to flow between the beans by performing simple docking operations. Unnecessary complexities associated with such visual design have been removed by providing intelligent docking of components and visual feedback. With such mechanisms, the complexities of building new applications are reduced. When the biologist has finished the visual construction, the design system is able to generate the new application automatically. The system has been designed specifically to meet the needs of the biological community, and a range of 'BioBeans' are being developed. These include beans for visualization (sequence displays and data visualizers), analysis (feature recognition, error detection) and communication (database access, URL retrieval, DDE communication). AVAILABILITY: Freely available. CONTACT: boyle@synomics.com

Computational Biology↗

Integrated graphical analysis of protein sequence features predicted from sequence composition.

Several protein sequence analysis algorithms are based on properties of amino acid composition and repetitiveness. These include methods for prediction of secondary structure elements, coiled-coils, transmembrane segments or signal peptides, and for assignment of low-complexity, nonglobular, or intrinsically unstructured regions. The quality of such analyses can be greatly enhanced by graphical software tools that present predicted sequence features together in context and allow judgment to be focused simultaneously on several different types of supporting information. For these purposes, we describe the SFINX package, which allows many different sets of segmental or continuous-curve sequence feature data, generated by individual external programs, to be viewed in combination alongside a sequence dot-plot or a multiple alignment of database matches. The implementation is currently based on extensions to the graphical viewers Dotter and Blixem and scripts that convert data from external programs to a simple generic data definition format called SFS. We describe applications in which dot-plots and flanking database matches provide valuable contextual information for analyses based on compositional and repetitive sequence features. The system is also useful for comparing results from algorithms run with a range of parameters to determine appropriate values for defaults or cutoffs for large-scale genomic analyses.

Amino Acid Motifs↗

Statistical model for large-scale peptide identification in databases from tandem mass spectra using SEQUEST.

Recent technological advances have made multidimensional peptide separation techniques coupled with tandem mass spectrometry the method of choice for high-throughput identification of proteins. Due to these advances, the development of software tools for large-scale, fully automated, unambiguous peptide identification is highly necessary. In this work, we have used as a model the nuclear proteome from Jurkat cells and present a processing algorithm that allows accurate predictions of random matching distributions, based on the two SEQUEST scores Xcorr and DeltaCn. Our method permits a very simple and precise calculation of the probabilities associated with individual peptide assignments, as well as of the false discovery rate among the peptides identified in any experiment. A further mathematical analysis demonstrates that the score distributions are highly dependent on database size and precursor mass window and suggests that the probability associated with SEQUEST scores depends on the number of candidate peptide sequences available for the search. Our results highlight the importance of adjusting the filtering criteria to discriminate between correct and incorrect peptide sequences according to the circumstances of each particular experiment.

Chromatography, Liquid↗

Rapid and sensitive dot-matrix methods for genome analysis.

MOTIVATION: Dot-matrix plots are widely used for similarity analysis of biological sequences. Many algorithms and computer software tools have been developed for this purpose. Though some of these tools have been reported to handle sequences of a few 100 kb, analysis of genome sequences with a length of >10 Mb on a microcomputer is still impractical due to long execution time and computer memory requirement. RESULTS: Two dot-matrix comparison methods have been developed for analysis of large sequences. The methods initially locate similarity regions between two sequences using a fast word search algorithm, followed with an explicit comparison on these regions. Since the initial screening removes most of random matches, the computing time is substantially reduced. The methods produce high quality dot-matrix plots with low background noise. Space requirements are linear, so the algorithms can be used for comparison of genome size sequences. Computing speed may be affected by highly repetitive sequence structures of eukaryote genomes. A dot-matrix plot of Yeast genome (12 Mb) with both strands was generated in 80 s with a 1 GHz personal computer.

Algorithms↗

Simultaneous modeling of multiple end points in life-cycle toxicity tests.

Standard toxicity tests do not allow extrapolations to the population level, mainly because these tests apply a short, fixed exposure time and focus on a single end point only. These limitations can be overcome by (partial) life-cycle toxicity testing, although these test results are harder to analyze. DEBtox is an existing software tool for the process-based analysis of standardized bioassays, and this paper presents two extensions of this method, making it applicable to life-cycle tests: the simultaneous assessment of end points and the description of aging (senescence) of the animals. We demonstrate these adaptations by describing life-cycle tests with the springtail Folsomia candida, exposed to cadmium and triphenyltin in their food. The extended model is able to describe the data for all end points simultaneously overtime with few, physiologically relevant parameters. Furthermore, the analysis reveals these chemicals to have distinctly different modes of action: cadmium apparently decreases the assimilation of energy from the food whereas triphenyltin increases the maintenance costs. The model fit allows calculation of the intrinsic rate of population increase, integrating effects on survival and reproduction. As the analysis is process based, population responses under food limitation can be explored, which depends critically on the selected mode of action.

Aging↗

[Individual planning of liver surgery interventions with a virtual model of the liver and its associated structures].

BACKGROUND: In an interdisciplinary approach, HepaVision (MEVIS, Bremen), a software tool specifically developed for 3D visualization of the liver, was employed for individual planning of extensive liver resections and evaluation of living-relative donations. So far there is experience with more than 50 biphasic spiral CT examinations. RESULTS: The spatial relationship of large tumors to crucial hepatic structures, the demonstration and evaluation of anatomic variants regarding vascular supply and the risk stratification of liver failure by volumetric analysis on the basis of portal venous drainage supported precise indication for surgery. Surgical safety is increased by preoperative planning and simulation of necessary vessel reconstructions. By hiding selective areas of portal venous drainage or applying freely selectable clip planes, segmental as well as non-anatomical resections can be simulated and their effects analyzed. The virtual preoperative situs was confirmed intraoperatively in all 17 patients of our study population who underwent segmental liver resection for either a tumor or living-relative donation.

Adenoma, Liver Cell↗

Automated localization of magnetoencephalographic interictal spikes by adaptive spatial filtering.

OBJECTIVE: Automated adaptive spatial filtering techniques can be applied to magnetoencephalographic (MEG) data collected from people with epilepsy. Source waveforms estimated by these methods have higher signal-to-noise ratio (SNR) than spontaneous MEG data, allowing identification and location of interictal spikes. The software tool SAM(g(2)) provides an adaptive spatial filtering algorithm for MEG data that yields source images of excess kurtosis and provides source time-courses in voxels exhibiting high excess kurtosis. The sensitivity and specificity of SAM(g(2)) in epilepsy is unknown. METHODS: Interictal MEG data from 36 patients with intractable epilepsy were analyzed using SAM(g(2)), and results compared with equivalent current dipole (ECD) fit procedures. RESULTS: When SNR of interictal spikes was high (compared to background) with a clear single focus, in most cases there was good agreement between ECD and SAM(g(2)). With multiple foci, there was typically overlap but imperfect concordance between results of ECD and SAM(g(2)). CONCLUSIONS: SAM(g(2)) may in some cases be equivalent to manual ECD fit for localizing interictal spikes with single locus and good SNR. Further studies are required to validate SAM(g(2)) with multiple foci or poor SNR. SIGNIFICANCE: In some cases, SAM(g(2)) might eventually assist or replace manual ECD analysis of MEG data.

Algorithms↗

The human adult skeletal muscle transcriptional profile reconstructed by a novel computational approach.

By applying a novel software tool, information on 4080 UniGene clusters was retrieved from three adult human skeletal muscle cDNA libraries, which were selected for being neither normalized nor subtracted. Reconstruction of a transcriptional profile of the corresponding tissue was attempted by a computational approach, classifying each transcript according to its level of expression. About 25% of the transcripts accounted for about 80% of the detected transcriptional activity, whereas most genes showed a low level of expression. This in silico transcriptional profile was then compared with data obtained by a SAGE study. A fairly good agreement between the two methods was observed. About 400 genes, highly expressed in skeletal muscle or putatively skeletal muscle-specific, may represent the minimal set of genes needed to determine the tissue specificity. These genes could be used as a convenient reference to monitor major changes in the transcriptional profile of adult human skeletal muscle in response to different physiological or pathological conditions, thus providing a framework for designing DNA microarrays and initiating biological studies.

Adult↗

[Numerical simulation (FEM) of the human mandible: validation of the function of the masticatory muscles].

The article describes part of a research project aiming to develop a new modular software tool for the individual dynamic numerical simulation of the human mandible using the finite element method (FEM). Its planned use in the clinical setting makes it very important to validate the results of the simulations. Here, the function of the masticatory muscles is to be tested. On the basis of biomechanical data from the literature, standard movements, such as closing the mouth, forward movement, lateral movement or backward movement, were dynamically simulated. Apart from muscle activity, the movements of the mandible are defined by the temporomandibular joint. At present, translating the condylar dynamics to the simulation still poses problems. For this reason, therefore, simulations of the two extreme cases "fixed" and "force-free" condyles are compared. While in the case of fixed condyles, some of the movements could be reproduced either not at all or only weakly, in the case of force-free condyles, all standard movements were reproduced qualitatively, albeit without the guiding effect of the joint capsule or the articular disc.

Biomechanical Phenomena↗