Resources for Research on Systemic Inflammation of Humans
(supported by U54 GM062119 and R24 GM102656)
RESOURCES
One of the principal products of the Inflammation and the Host Response to Injury Consortium (the Glue Grant) , the Trauma-Related Database (TRDB) is a large data warehouse containing clinical, proteomic, cell biology, and gene expression data from trauma and burns patients and healthy control subject studies. The TRDB provides a browser interface for downloading complete datasets, and more importantly, user-selected data subsets. Data can be downloaded as tables (i.e., relational format) and as binary or text files for use in various data analysis applications.
The website contains data and visualization that links genome-wide expression from whole blood leukocytes to the clinical attributes in severely trauma patients. In addition, the website contains links to external resources for studying gene ontologies and pathways.
Resolution of inflammation is key to patient recovery from injury. The Glue Grant study monitored the time-course genomic, phenotypic and clinical profiles of severely injured patients within the first month after injury, and matched healthy subjects, covering a total of >2,700 samples. The web portal provides comprehensive data and visualization of the cell-specific temporal immune response to severe injury.
To integrate the omics data of representative human acute inflammatory diseases and related mouse models, we built a comprehensive system biology resource which including 2,257 samples from 6 human inflammatory diseases (Burn, Trauma, Infection, Sepsis, Endotoxin and Acute respiratory distress syndrome ) and corresponding murine disease models. The resource can be mined using integrated bioinformatics and visualization tools for systems level analysis of the immune response in diseases and models.
The website contains data and visualization to explore the genomic response in different tissues after severe trauma. In addition, the website contains links to external resources for studying gene ontologies and pathways.
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