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Charting gene regulatory networks: strategies, challenges and perspectives.

One of the foremost challenges in the post-genomic era will be to chart the gene regulatory networks of cells, including aspects such as genome annotation, identification of cis-regulatory elements and transcription factors, information on protein-DNA and protein-protein interactions, and data mining and integration. Some of these broad sets of data have already been assembled for building networks of gene regulation. Even though these datasets are still far from comprehensive, and the approach faces many important and difficult challenges, some strategies have begun to make connections between disparate regulatory events and to foster new hypotheses. In this article we review several different genomics and proteomics technologies, and present bioinformatics methods for exploring these data in order to make novel discoveries.

Animals↗

Quantitative approaches to computational vaccinology.

This article reviews the newly released JenPep database and two new powerful techniques for T-cell epitope prediction: (i) the additive method; and (ii) a 3D-Quantitative Structure Activity Relationships (3D-QSAR) method, based on Comparative Molecular Similarity Indices Analysis (CoMSIA). The JenPep database is a family of relational databases supporting the growing need of immunoinformaticians for quantitative data on peptide binding to major histocompatibility complexes and to the Transporters associated with Antigen Processing (TAP). It also contains an annotated list of T-cell epitopes. The database is available free via the Internet (http://www.jenner.ac.uk/JenPep). The additive prediction method is based on the assumption that the binding affinity of a peptide depends on the contributions from each amino acid as well as on the interactions between the adjacent and every second side-chain. In the 3D-QSAR approach, the influence of five physicochemical properties (steric bulk, electrostatic potential, local hydrophobicity, hydrogen-bond donor and hydrogen-bond acceptor abilities) on the affinity of peptides binding to MHC molecules were considered. Both methods were exemplified through their application to the well-studied problem of peptides binding to the human class I MHC molecule HLA-A*0201.

Binding Sites↗

Report on the Fifth International Workshop on Chromosome 9 held at Eynsham, Oxfordshire, UK, September 4-6, 1996.

The Fifth International workshop on chromosome 9 comprised a gathering of 36 scientists from seven countries and included a fairly even distribution of interests along chromosome 9 as well as a strong input from more global activities and from comparative mapping. At least eight groups had participated in the goal set at the previous workshop which was to improve the fine genetic mapping in different regions of chromosome 9 by meiotic breakpoint mapping in allocated regions and this has resulted in some greatly improved order information. Excellent computing facilities were available and all contributed maps were entered not only into SIGMA (and thence submitted to GDB) but also into a dedicated version of ACEDB which can be accessed on the Web in the form of one of 28 slices into which the chromosome has been arbitrarily divided. It was generally agreed that the amount of data is now overwhelming and that the integration and validation of all data is not only unrealistic in a short meeting but probably impossible until the whole chromosome has been sequenced and fully annotated. Sequence-ready contigs presented at the meeting totalled about 3 MB which is about one fiftieth of the estimated length. The single biggest barrier to integration of maps is the problem of non-standard nomenclature of loci. In the past 2 workshops efforts have been made to compare traditional 'consensus' maps made by human insight (still probably best for small specific regions) with those generated with some computer assistance (such as SIGMA) and those generated objectively by defined computer algorithms such as ldb. Since no single form of map or representation is entirely satisfactory for all purposes the maps reproduced in the published version of the report are confined to one of the genetic maps, in which Genethon and older markers have been incorporated, a Sigma map of the genes as symbols together with a listing of known 'disease' genes on chromosome 9, and a revised assessment of the mouse map together with a list of mouse loci predicted to be on human chromosome 9. One of the 28 ACEDB slices is also shown to illustrate strengths and weaknesses of this approach. Workshop files include not only all maps available at the time but also details of loci and details of the meiotic breakpoints in the CEPH families (http:/(/)www.gene.ucl.ac.uk/scw9db.shtml) .

Animals↗

Protein family alignment annotation.

For bioscientists studying protein structure and function, the Protein Family Alignment Annotation Tool (Pfaat) is a useful and simple program for annotating collections of proteins. This open-source software includes methods for viewing and aligning protein families, and for annotating sequence structure and residues with known functions. It offers new options to aid the study of proteins, and an extensible annotation tool for bioinformatics developers.

Amino Acid Sequence↗

tmRDB (tmRNA database).

The tmRNA database (tmRDB) is maintained at the University of Texas Health Science Center at Tyler, Texas, and accessible on the World Wide Web at the URL http://psyche.uthct.edu/dbs/tmRDB/tmRDB.++ +html. Mirror sites are located at Auburn University, Auburn, Alabama (http://www.ag.auburn.edu/mirror/tmRDB/) and the Institute of Biological Sciences, Aarhus, Denmark (http://www.bioinf.au. dk/tmRDB/). The tmRDB provides information and citation links about tmRNA, a molecule that combines functions of tRNA and mRNA in trans-translation. tmRNA is likely to be present in all bacteria and has been found in algae chloroplasts, the cyanelle of Cyanophora paradoxa and the mitochondrion of the flagellate Reclinomonas americana. This release adds 26 new sequences and corresponding predicted tmRNA-encoded tag peptides for a total of 86 tmRNAs, ordered alphabetically and phylogenetically. Secondary structures and three-dimensional models in PDB format for representative molecules are being made available. tmRNA alignments prove individual base pairs and are generated manually assisted by computational tools. The alignments with their corresponding structural annotation can be obtained in various formats, including a new column format designed to improve and simplify computational usability of the data.

Databases, Factual↗

The Pfam protein families database.

Pfam is a large collection of protein multiple sequence alignments and profile hidden Markov models. Pfam is available on the World Wide Web in the UK at http://www.sanger.ac.uk/Software/Pfam/, in Sweden at http://www.cgb.ki.se/Pfam/, in France at http://pfam.jouy.inra.fr/ and in the US at http://pfam.wustl.edu/. The latest version (6.6) of Pfam contains 3071 families, which match 69% of proteins in SWISS-PROT 39 and TrEMBL 14. Structural data, where available, have been utilised to ensure that Pfam families correspond with structural domains, and to improve domain-based annotation. Predictions of non-domain regions are now also included. In addition to secondary structure, Pfam multiple sequence alignments now contain active site residue mark-up. New search tools, including taxonomy search and domain query, greatly add to the functionality and usability of the Pfam resource.

Animals↗

Genomic database resources for Dictyostelium discoideum.

Dictyostelium is an attractive model system for the study of mechanisms basic to cellular function or complex multicellular developmental processes. Recent advances in Dictyostelium genomics have generated a wide spectrum of resources. However, much of the current genomic sequence information is still not currently available through GenBank or related databases. Thus, many investigators are unaware that extensive sequence data from Dictyostelium has been compiled, or of its availability and access. Here, we discuss progress in Dictyostelium genomics and gene annotation, and highlight the primary portals for sequence access, manipulation and analysis (http://genome.imb-jena.de/dictyostelium/; http://dictygenome.bcm.tmc.edu/; http://www.sanger. ac.uk/Projects/D_discoideum/; http://www.csm.biol. tsukuba.ac.jp/cDNAproject.html).

Amino Acid Sequence↗

ESTHER, the database of the alpha/beta-hydrolase fold superfamily of proteins.

The alpha/beta-hydrolase fold is characterized by a beta-sheet core of five to eight strands connected by alpha-helices to form a alpha/beta/alpha sandwich. In most of the family members the beta-strands are parallels, but some show an inversion in the order of the first strands, resulting in antiparallel orientation. The members of the superfamily diverged from a common ancestor into a number of hydrolytic enzymes with a wide range of substrate specificities, together with other proteins with no recognized catalytic activity. In the enzymes the catalytic triad residues are presented on loops, of which one, the nucleophile elbow, is the most conserved feature of the fold. Of the other proteins, which all lack from one to all of the catalytic residues, some may simply be 'inactive' enzymes while others are known to be involved in surface recognition functions. The ESTHER database (http://bioweb.ensam.inra.fr/esther) gathers and annotates all the published information related to gene and protein sequences of this superfamily, as well as biochemical, pharmacological and structural data, and connects them so as to provide the bases for studying structure-function relationships within the family. The most recent developments of the database, which include a section on human diseases related to members of the family, are described.

Animals↗

GOBASE--a database of organelle and bacterial genome information.

The organelle genome database GOBASE is now in its twelfth release, and includes 350,000 mitochondrial sequences and 118,000 chloroplast sequences, roughly a 3-fold expansion since previously documented. GOBASE also includes a fully reannotated genome sequence of Rickettsia prowazekii, one of the closest bacterial relatives of mitochondria, and will shortly expand to contain more data from bacteria from which organelles originated. All these sequences are now accessible through a single unified interface. Enhancements to the functionality of GOBASE include addition of pages for RNA structures and a page compiling data about the taxonomic distribution of organelle-encoded genes; incorporation of Gene Ontology terms; addition of features deduced from incomplete annotations to sequences in GenBank; marking of type examples in cases where single genes in single species are oversampled within GenBank; and addition of graphics illustrating gene structure and the position of neighbouring genes on a sequence. The database has been reimplemented in PostgreSQL to facilitate development and maintenance, and structural modifications have been made to speed up queries, particularly those related to taxonomy. The GOBASE database can be queried at http://gobase.bcm.umontreal.ca/ and inquiries should be directed to gobase@bch.umontreal.ca.

Chloroplasts↗

Genome Snapshot: a new resource at the Saccharomyces Genome Database (SGD) presenting an overview of the Saccharomyces cerevisiae genome.

Sequencing and annotation of the entire Saccharomyces cerevisiae genome has made it possible to gain a genome-wide perspective on yeast genes and gene products. To make this information available on an ongoing basis, the Saccharomyces Genome Database (SGD) (http://www.yeastgenome.org/) has created the Genome Snapshot (http://db.yeastgenome.org/cgi-bin/genomeSnapShot.pl). The Genome Snapshot summarizes the current state of knowledge about the genes and chromosomal features of S.cerevisiae. The information is organized into two categories: (i) number of each type of chromosomal feature annotated in the genome and (ii) number and distribution of genes annotated to Gene Ontology terms. Detailed lists are accessible through SGD's Advanced Search tool (http://db.yeastgenome.org/cgi-bin/search/featureSearch), and all the data presented on this page are available from the SGD ftp site (ftp://ftp.yeastgenome.org/yeast/).

Chromosomes, Fungal↗

MACiE (Mechanism, Annotation and Classification in Enzymes): novel tools for searching catalytic mechanisms.

MACiE (Mechanism, Annotation and Classification in Enzymes) is a database of enzyme reaction mechanisms, and is publicly available as a web-based data resource. This paper presents the first release of a web-based search tool to explore enzyme reaction mechanisms in MACiE. We also present Version 2 of MACiE, which doubles the dataset available (from Version 1). MACiE can be accessed from http://www.ebi.ac.uk/thornton-srv/databases/MACiE/

Catalysis↗

Genetic landscape of pediatric seizures in Southeast China: identification of a novel GLI3 frameshift variant through whole-exome sequencing.

BACKGROUND: Pediatric seizure disorders are clinically and genetically heterogeneous. Whole-exome sequencing has improved the detection of rare genetic variants in childhood epilepsy; however, data from pediatric populations in Southeast China remain limited. This study aimed to characterize the genetic landscape of pediatric seizure disorders in Southeast China and to evaluate the clinical diagnostic yield of whole-exome sequencing. MATERIALS AND METHODS: This retrospective observational study included 21 pediatric patients with seizure disorders who were recruited at the Fifth Hospital of Xiamen, Fujian, China, between January 2021 and June 2024. Clinical data were extracted from medical records. Whole-exome sequencing was performed on DNA extracted from peripheral blood. Sequence variants were annotated, filtered, and classified according to the guidelines of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Copy-number variants were evaluated using exome-based algorithms. Descriptive statistics were used because of the limited sample size. RESULTS: WES identified three clinically relevant, likely pathogenic findings in 3 of 21 patients, corresponding to a provisional diagnostic yield of 14.3%. The remaining 62 of 65 variants were of uncertain significance (VUS). The three retained variants included a GLI3 frameshift variant (exon 2: c.90_91insCAGATGTGAGC; p.Glu31Glnfs*3) and two copy-number variants (16p13.12-16p13.11 duplication and Xp22.31 deletion) with established clinical significance. Functional analysis of all 65 variants revealed that ion channel genes and neurodevelopmental genes were the most frequently affected categories. CONCLUSION: Whole-exome sequencing identified clinically relevant genetic findings in a subset of Southeast Chinese children with seizure disorders. The novel GLI3 frameshift variant may suggest an expansion of the GLI3-associated phenotypic spectrum, but further segregation, functional validation, and larger cohort studies are needed. The high proportion of variants of uncertain significance highlights the ongoing challenges of genetic interpretation in pediatric seizure disorders.

GLI3 frameshift variant↗

Dynamic covariation between gene expression and proteome characteristics.

BACKGROUND: Cells react to changing intra- and extracellular signals by dynamically modulating complex biochemical networks. Cellular responses to extracellular signals lead to changes in gene and protein expression. Since the majority of genes encode proteins, we investigated possible correlations between protein parameters and gene expression patterns to identify proteome-wide characteristics indicative of trends common to expressed proteins. RESULTS: Numerous bioinformatics methods were used to filter and merge information regarding gene and protein annotations. A new statistical time point-oriented analysis was developed for the study of dynamic correlations in large time series data. The method was applied to investigate microarray datasets for different cell types, organisms and processes, including human B and T cell stimulation, Drosophila melanogaster life span, and Saccharomyces cerevisiae cell cycle. CONCLUSION: We show that the properties of proteins synthesized correlate dynamically with the gene expression profile, indicating that not only is the actual identity and function of expressed proteins important for cellular responses but that several physicochemical and other protein properties correlate with gene expression as well. Gene expression correlates strongly with amino acid composition, composition- and sequence-derived variables, functional, structural, localization and gene ontology parameters. Thus, our results suggest that a dynamic relationship exists between proteome properties and gene expression in many biological systems, and therefore this relationship is fundamental to understanding cellular mechanisms in health and disease.

Animals↗

After 'completion': the changing face of human chromosomes 21 and 22.

In the four years since the publication of the first two 'complete' human chromosome sequences the type of research being done on each has shifted subtly, reflecting the impact of genomic data on biological science in general. There is now considerably more gene-expression evidence to support predicted genes, and the annotation of functions for previously unknown genes, including those implicated in disease, is gradually improving.

Animals↗

Assessing systems properties of yeast mitochondria through an interaction map of the organelle.

Mitochondria carry out specialized functions; compartmentalized, yet integrated into the metabolic and signaling processes of the cell. Although many mitochondrial proteins have been identified, understanding their functional interrelationships has been a challenge. Here we construct a comprehensive network of the mitochondrial system. We integrated genome-wide datasets to generate an accurate and inclusive mitochondrial parts list. Together with benchmarked measures of protein interactions, a network of mitochondria was constructed in their cellular context, including extra-mitochondrial proteins. This network also integrates data from different organisms to expand the known mitochondrial biology beyond the information in the existing databases. Our network brings together annotated and predicted functions into a single framework. This enabled, for the entire system, a survey of mutant phenotypes, gene regulation, evolution, and disease susceptibility. Furthermore, we experimentally validated the localization of several candidate proteins and derived novel functional contexts for hundreds of uncharacterized proteins. Our network thus advances the understanding of the mitochondrial system in yeast and identifies properties of genes underlying human mitochondrial disorders.

Disease Susceptibility↗

The European Community concerted action on ambulatory monitoring.

The diffusion of instruments for ambulatory monitoring is rapidly expanding and the related cost to the European Community is increasing, while their role and their effectiveness are still controversial. The Biomedical Engineering Group, belonging to the Committee for Medical Research of the European Community, has approved a project for the co-ordination of the research ('concerted action') in the field of ambulatory monitoring, to tackle the problem. The project, directed by a Project Management Group, following some meetings of experts being organized to identify high-priority goals, has been aimed at promoting common efforts in two specific fields: evaluation of the quality of ECG ambulatory monitoring analysers, by means of a standard reference, and assessment of the performance of non-invasive techniques for arterial blood pressure ambulatory monitoring. In its first six months (July-December 1985) the project has produced: (1) a preliminary agreement about ECG recording and an annotation scheme, to be definitely adopted, after a pilot experiment, by June 1986; (2) a protocol for hypertensive patient characterization and data collection, to be initiated by September 1986.

Blood Pressure Determination↗

The Chromosome 6 database at the Sanger Centre.

The Sanger Centre Chromosome 6 Database (6ace) has been developed as the primary means of release of annotated sequencing and mapping information for human chromosome 6 from the Sanger Centre. It is also being used to curate global data from published and unpublished external sources. The rationale behind the development of 6ace is described, together with information as to how to access the database.

Base Sequence↗

Gene expression profiling and molecular aspects in peripheral nerve regeneration.

Regeneration of the peripheral nervous system after injury depends on a complex sequence of histopathological reactions that comprise a highly reproducible sequence of degenerative reactions, termed Wallerian degeneration. During this period a remodelling of the distal nerve stump prepares a microenvironment that permits successful regrowth of nerve fibers from the proximal nerve fragment. This stereotypical sequence of reactions is reflected by a differential and coordinate expression of genes with specific functions in the process of regeneration. This review will summarize cellular and molecular reactions that contribute to peripheral nerve regeneration including data of a pilot study in which membrane based cDNA array expression technology was applied. We examined the expression of 588 annotated genes in response to a crush lesion of rat sciatic nerves. Approximately 40 % of the genes spotted onto the array filters showed expression significantly above background and 55 of these detected genes represented differential expression profiles after nerve lesion. This approach revealed to be suitable for systematic screening of regeneration associated genes.

Animals↗