Life Science Knowledge Bank (LSKB)
Life Science Knowledge Bank (LSKB) aggregates transcriptomic, regulatory sequence, and functional annotation data to support comparative genomic analyses and drug-discovery research.
Key Features:
- Comparative Transcriptome Analysis: Identifies differential gene expression across conditions or species to elucidate conserved biochemical pathways.
- Gene Ontology Enrichment: Performs gene ontology enrichment to detect overrepresented biological processes, cellular components, and molecular functions in gene sets.
- Cis-regulatory Sequence Analysis: Analyzes cis-regulatory sequences to identify transcriptional regulators that control gene expression.
- Identification of Transcriptional Regulators: Detects regulators such as EP300, HDAC2, CEBPB, CEBPD, FOXA1, and FOXA2 implicated in adipocyte differentiation, lipid storage, and metabolism.
- Data Integration: Aggregates transcriptomic data from multiple sources to enable comprehensive analyses.
- Functional Annotation: Provides functional annotation of genes to support interpretation of expression and regulatory analyses.
- Cross-species Comparative Analysis: Facilitates comparisons between species (e.g., zebrafish and human) to identify conserved genetic mechanisms.
Scientific Applications:
- Elucidation of Therapeutic Mechanisms: Enables comparative analyses between models (for example zebrafish and humans) to reveal common therapeutic mechanisms such as effects observed with caloric restriction (CR) and resveratrol (RSV) in obesity studies.
- Identification of Key Transcriptional Regulators: Identifies regulators including EP300, HDAC2, CEBPB, CEBPD, FOXA1, and FOXA2 as targets for studying adiposity, lipid metabolism, and related pathways.
- Functional Analysis of Genetic Dysregulation: Analyzes genes dysregulated under specific conditions to provide insights into molecular bases of disease and potential therapeutic targets.
Methodology:
Data integration of transcriptomic datasets; computational algorithms for gene expression analysis, regulatory sequence identification, and functional annotation; and cross-species comparative studies.
Topics
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 1/13/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Nishimura Y, Sasagawa S, Ariyoshi M, Ichikawa S, Shimada Y, Kawaguchi K, Kawase R, Yamamoto R, Uehara T, Yanai T, Takata R, Tanaka T. Systems pharmacology of adiposity reveals inhibition of EP300 as a common therapeutic mechanism of caloric restriction and resveratrol for obesity. Frontiers in Pharmacology. 2015;6. doi:10.3389/fphar.2015.00199. PMID:26441656. PMCID:PMC4569862.