Biomedical subjects

Bernard de Bono

Publications and source records attributed to Bernard de Bono.

6 recordsLinked to original sources

PubMed2025

The Data Distillery: A Graph Framework for Semantic Integration and Querying of Biomedical Data.

The Data Distillery Knowledge Graph (DDKG) is a framework for semantic integration and querying of biomedical data across domains. Built for the NIH Common Fund Data Ecosystem, it supports translational research by linking clinical and experimental datasets in a unified graph model. Clinical standards such as ICD-10, SNOMED, and DrugBank are integrated through UMLS, while genomics and basic science data are structured using ontologies and standards such as HPO, GENCODE, Ensembl, STRING, and ClinVar. The DDKG uses a property graph architecture based on the UBKG infrastructure and supports ontology-based ingestion, identifier normalization, and graph-native querying. The system is modular and can be extended with new datasets or schema modules. We demonstrate its utility for informatics queries across eight use cases, including regulatory variant analysis, tissue-specific expression, biomarker discovery, and cross-species variant prioritization. The DDKG is accessible via a public interface, a programmatic API, and downloadable builds for local use.

Journal Article↗

PubMed2005

IRIS: a database surveying known human immune system genes.

We have compiled an online database of known human defense genes: the Immunogenetic Related Information Source (IRIS). As of October 1, 2004, there are 1562 immune genes recorded in IRIS, representing 7% of the human genome. This resource contains searchable information including chromosomal location, sequence data, and a curated functional annotation for each entry. We used IRIS as a basis for analyzing the composition and characteristics of the immune genome, such as gene clustering, polymorphism, and relationship to disease. High protein sequence similarity correlated inversely with distance between immune genes, consistent with clustering of duplicated loci. We also found that, even though some immune genes exhibit high levels of polymorphism, such as MHC class I, the range of levels of polymorphism in immune genes is similar to that of nonimmune genes. Approximately 20% of immune genes have a known disease association. IRIS is available online at .

Databases, Genetic↗

PubMed2005

Relationship between SPRY and B30.2 protein domains. Evolution of a component of immune defence?

SPRY and B30.2 are homologous domains which can be identified in 11 protein families encoded in the human genome. These include cell surface receptors of the immunoglobulin super-family (BTNs), negative regulators of the JAK/STAT pathway (SOCS-box SSB1-4) and proteins encoded by the numerous TRIM genes. Collectively, proteins containing SPRY and B30.2 domains cover a wide range of functions, including regulation of cytokine signalling (SOCS), RNA metabolism (DDX1, hnRNPs), intracellular calcium release (RyR receptors), immunity to retroviruses (TRIM5alpha) as well as regulatory and developmental processes (HERC1, Ash2L). In order to clarify the evolutionary relationship between the two domains, we compiled a curated database of SPRY and B30.2-domain sequences. We show that while SPRY domains are evolutionarily ancient, B30.2 domains, found in BTN and TRIM proteins, are a more recent evolutionary adaptation, comprising the combination of SPRY with an additional domain, PRY. The combination of SPRY and PRY to produce B30.2 domains may have been selected and maintained as a component of immune defence.

Amino Acid Sequence↗

PubMed2004

VH gene segments in the mouse and human genomes.

We have examined the mouse genome sequence to determine its VH gene segment repertoire. In all, 141 segments are mapped to a 3 Mb region of chromosome 12. There is evidence that 92 of these are functional in the mouse strain used for the genome sequence, C57BL/6J; 12 are functional in other mouse strains, and 37 are pseudogenes. The mouse VH gene segment repertoire is therefore twice the size of that in humans. The mouse and human loci bear no large-scale similarity to each other. The 104 functional segments belong to one of the 15 known sequence subgroups, which have been further clustered into eight sets here. Seven of these sets, comprising 101 sequences, are related to five of the human VH families and have the same canonical structures in their hypervariable regions. Duplication of members of one set in the distal half of the locus is mainly responsible for the larger size of the mouse repertoire. Phylogenetic analysis of the VH segments indicates that most of the sequences in the human and mouse VH loci have arisen subsequent to the divergence of the two organisms from their common ancestor.

Amino Acid Sequence↗

PubMed2003

Exegesis: a procedure to improve gene predictions and its use to find immunoglobulin superfamily proteins in the human and mouse genomes.

Exegesis is a procedure to refine the gene predictions that are produced for complex genomes, e.g. those of humans and mice. It uses the program Genewise, sequences determined by experiment, experimental maps of gene segment libraries and a new browser that allows the user to rapidly inspect and compare multiple gene maps to regions of genomic sequences. The procedure should be of general use. Here, we use the procedure to find members of the immunoglobulin superfamily in the human and mouse genomes. To do this, Exegesis was used to process the original gene predictions from the automated Ensembl annotation pipeline. Exegesis produced (i) many more complete genes and new transcripts and (ii) a mapping of the immunoglobulin and T cell receptor gene libraries to the genome, which are largely absent in the Ensembl set.

Animals↗

PubMed2003

Exploring the immunogenome with bioinformatics.

A better description of the immune system can be afforded if the latest developments in bioinformatics are applied to integrate sequence with structure and function. Clear guidelines for the upgrade of the bioinformatic capability of the immunogenetics laboratory are discussed in the light of more powerful methods to detect homology, combined approaches to predict the three dimensional properties of a protein and a robust strategy to represent the biological role of a gene.

Animals↗