ImmPort published in Nature - Scientific Data! Welcome to the ImmPort blog! This is our inaugural blog post and we are going to use this space to highlight our recent publication in Nature - Scientific Data. Whether you are one of our many dedicated and skilled data providers, experienced ImmPort shared data user or an ImmPort novice; we recommend you read the publication. What sorts of information will you find in “ImmPort, toward repurposing of open access immunological assay data for translational and clinical research”?
The ImmPort team successfully hosted a workshop at the FOCIS conference this past June in San Francisco. The focus of the workshop was “Big Data in Immunology,” and included both an invited speaker session and a hands-on workshop. This was quite a successful workshop for ImmPort, with 51 people attending, the largest number we have hosted to date! The first part of the workshop included a series of invited speakers, all of whom came from different organizations and universities, offering insights on many different topics.
Did you know NIAID funds researchers to develop new or improved ways to use ImmPort shared data? The Cooperative Agreement PAR-16-253, posted in May 2016, does just that. For those of you pondering the possibilities, a brief summary of the first and second round awardees follows.
2017 Dr. Steve Kleinstein’s team at Yale University is developing LinkedImm, a system designed to integrate ImmPort vaccine studies, linking those studies to other public resources such as pathway databases, gene ontology and publications, to support hypothesis-driven queries.
The Accelerating Medicines Partnership (AMP) program, a public-private effort aimed at improving the identification of drug targets and speed the development of new drugs. Participants include the National Institutes of Health (NIH), Foundation for NIH, biopharmaceutical firms as well as non-profit organizations
The NIH announced on February 21, 2018 in the NIH News Release the release of AMP data from ImmPort. Data from the Lupus and Rheumatoid Arthritis (AMP/SLE) pilot projects is now available in ImmPort as SDY997, SDY998 & SDY999.
A data-drive model of pediatric immune reaction to chikungunya virus infection.
A recently published study used multiple profiling techniques in a comprehensive assessment of natural pediatric infection with CHIKV. Researchers compared the acute and convalescent phases of 42 pediatric cases of CHIKV from a hospital-based study in Nicaragua.
The analysis combined RNA-seq, CyTOF, and multiplex bead array ELISA data with semi-supervised classification and clustering methods in a systems immunology approach to identify changes in cell subpopulation frequencies, gene expression, and serum cytokine/chemokine concentrations during acute CHIKV infection.
MetaCyto: a tool for meta-analysis of flow cytometry and mass cytometry data
Meta-analysis of existing data across different studies offers multiple benefits, including increased statistical power and more robust conclusions. These benefits have been shown by many studies in areas such as genomics, cancer biology, and clinical research, and have led to important new biomedical findings.
With the recent advances in high-throughput cytometry technologies, the immune system can be characterized at the single-cell level with up to 45 parameters, minimizing the technical limitations and allowing capture of more valuable information from immunology studies.