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ImmuSort, a database on gene plasticity and electronic sorting for immune cells.
Pingzhang Wang1, Yehong Yang2, Wenling Han3
11] Department of Immunology, School of Basic Medical Sciences, Peking University Health Science Center. Key Laboratory of Medical Immunology, Ministry of Health, China. Peking University Center for Human Disease Genomics. No. 38 Xueyuan Road, Beijing, 100191, China [2] Chinese National Human Genome Center at Beijing. No. 3-707 North YongChang Road, BDA, Beijing, 100176, China.
ImmuSort is a novel immunological database for analyzing gene expression in immune cells. It allows users to electronically sort cell states and evaluate gene plasticity and biomarkers across thousands of conditions.
Area of Science:
- Immunology
- Bioinformatics
- Genomics
Background:
- Gene expression is dynamic and plastic.
- Existing databases lack specialized tools for immune cell gene expression analysis.
- Need for a comprehensive resource to explore immune cell gene expression across diverse conditions.
Purpose of the Study:
- Introduce ImmuSort, a new immunological database.
- Provide a platform for viewing global differential gene expression in immune cells.
- Enable electronic sorting of cell states based on gene expression.
Main Methods:
- Developed ImmuSort database integrating public microarray data.
- Implemented electronic sorting based on gene expression intensity.
- Introduced a "plasticity score" and biomarker evaluation metrics.
Main Results:
- ImmuSort contains data for 31 human and 17 mouse immune cell groups.
- Database includes 10,422 human and 3,929 mouse microarrays.
- Offers query access to 20,283 human and 20,963 mouse genes.
Conclusions:
- ImmuSort facilitates analysis of gene expression plasticity and biomarkers in immune cells.
- The database enables identification of cell-specific and disease-associated genes.
- ImmuSort offers distinct advantages for immunological research.
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