Abstract
Abstract With abundance of accumulated public biological data, it is worthy of consideration about how to fully use these data for wet-experiments. In the current study, we built an immunological database, ImmuSort. ImmuSort provides a convenient way to view global differential gene expression across various experimental conditions or disease states in immune cells, and enables an electronic sorting of these cells in association with a certain expressional intensity. Meanwhile, gene plasticity, comparison of expression level, biomarker discovery and valuation, identification of cell specific transcripts, etc., can also be accessible in the database. Importantly, ImmuSort database can contribute to the discovery of potential novel functional populations of immune cells, e.g., the association of CCL20 bright myeloid populations with inflammation, and provide clues for the function of human and mouse genes in the immune system. ImmuSort is the first product of our immunological database development project. It can be freely accessed on the web at http://202.85.212.211/Account/ImmuSort.html.
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