- Browse and search for shared study data
- Cytokine and cell interaction literature mining: ImmuneXpresso
- Example R and Python analysis code
- Cytokine registry
- Cell Ontology Visualizer
|Tools||Resources||News & Events|
ImmPort is a long-term, sustainable data warehouse for the purpose of promoting re-use of immunological data generated by NIAID DAIT and DMID funded investigators.
ImmPort supports analysis of flow cytometry results and HLA genetic associations.
Variation in influenza vaccine response is the result of both patient-specific expression changes and shared changes that vary in their timing. To understand these overlapping events, vaccine response was monitored using RNA seq, flow cytometry, and ELISPOT with improved temporal resolution. By using functional principal component analysis to analyze B cell response daily, correlations between vaccine history, cellular response, and gene expression were investigated. Using this approach, a common gene expression pattern correlated with migrating plasma cells was found in previously vaccinated subjects.
The emergence of drug-resistant influenza strains over time can make drug discovery of effective anti-viral treatments a moving target. To identify host genes required for influenza replication, an siRNA screen of proteases was conducted in epithelial cells. Five potential targets were found to be required for virus replication. Pathway analysis found these five proteases to be components of inflammation, cAMP/calcium signaling, and apoptosis pathways and to be potentially regulated by endogenous miRNAs. Further assays confirmed several of these miRNAs as regulators of protease expression and additional potential targets for anti-viral drugs.
Searching for publicly accessible ImmPort study data has just gotten easier - Open ImmPort is our new beta version shared-data website with improved search capabilities.
Submitting data to ImmPort? Stay right where you are; this site continues to be your data submission portal
immuneXpresso is now in ImmPort-Labs!
iX is an information extraction system using Natural Language Processing to create a global network of cell-cytokine interactions.
Inclusion of relevant disease, tissue and drug information enhances the semantically derived network.
|Flow Cytometry Results||90466|
|Gene Expression Results||43473|
|HLA Typing Results||6582|
| Neutralizing Antibody |