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From immunogenetics to immunomics: functional prospecting of genes and transcripts
1Biomedical Knowledge Discovery Team, Bioinformatics Group, RIKEN Genomic Sciences Center (GSC), 1-7-22 Suehiro-cho, Tsurumi, Yokohama 230-0045, Japan.
Novartis Foundation Symposium
|January 10, 2004
Summary
Immunomics expands immunogenetics by studying all immune-related transcripts. Understanding the immunome requires integrating computational and expert knowledge to decipher gene regulation and function in immune cells.
Area of Science:
- Genomics
- Immunology
- Bioinformatics
Background:
- Immunogenetics traditionally focused on MHC, TCR, and Ig loci.
- Immunomics broadens this scope to include all immune-related transcripts.
- The role of non-coding RNAs and intercalated genes in immune regulation is increasingly recognized.
Purpose of the Study:
- To highlight the expansion of immunogenetics into immunomics.
- To emphasize the need for comprehensive transcriptome analysis in immune cells.
- To discuss challenges and strategies for inferring immune gene function and regulation.
Main Methods:
- Review of transcriptome projects and their application to immunomics.
- Discussion of computational and expert-driven knowledge discovery strategies.
- Analysis of challenges in functional inference from sequence and text data.
Main Results:
- Immunomics requires identification and categorization of all immune-related transcripts.
- Transcriptome projects should ideally include diverse immune cell types and states.
- Primary sequence analysis is limited for novel functional insights.
Conclusions:
- Deciphering immune regulatory networks necessitates interdisciplinary collaboration.
- Integrating computational and expert knowledge is crucial for mining immunomic data.
- Functional inference of immune gene regulation from diverse data sources presents significant challenges.